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Computer Science Personal Statement Examples

essay for computer science application

What is a computer science personal statement?

Your application form features your grades, but the UCAS personal statement is an opportunity to sell youself to the university.

This means you need to include your skills, goals and suitability for the course when drafting a computer science undergraduate or postgraduate personal statement.

Make sure you convey your talents for programming and why you are committed to this course. Read through some of our computer science personal statement examples to see what makes a good and successful statement.

How do I write a computer science personal statement?

When it comes down to how to start a personal statement, don’t tie yourself in knots. Why do you want to study computer science? Personal statements should answer this question, so open with your motivation during your introduction.

Your computer science personal statement should be easy to read, explaining why you have chosen this course and how you intend to work hard to achieve your goals. Give your computer science personal statemen to others to proofread, and ensure the language is concise, makes sense, and is grammatically correct. Don't just rely on a spellchecker for your final draft - read it through yourself, and check for errors thoroughly.

What should I include in my computer science personal statement?

  • What subject areas do you enjoy that will support your application? For example, you might pick a topic from your mathematics A level that particularly interests and talk about why you find it fascinating.
  • Remember that you can only write one personal statement, so it needs to be suitable for all the universities you are planning on applying to. 
  • Talk about your hobbies and extracurricular activities, and how they are relevant - what have you learned from them? Have they inspired you to do anything else? For example, have you built a computer from scratch, or built a new app or website? Are you able to code? If so, what languages can you code in and how did you learn?
  • If you’re applying for a postgraduate course, you may want to talk about higher level skills you possess such as innovation, and the results of your final year undergraduate project. 
  • Think about your wider reading, e.g. newspapers, magazines, journals, etc. What recent developments interest you, and why are they exciting? Remember, your computer science personal statement needs to stand out from the crowd, so make it as relevant as possible, while giving it your own, unique voice.

How do I write my computer science personal statement introduction?

Try to start your computer science personal statement with a paragraph that will immediately grab the reader's attention. For example, you might relate a story about an experience with computer science when you were a child, such as a birthday present or a day trip with your family. You might also choose to open your statement by talking about one or two aspects of computer science that fascinate you, and why you find them interesting.

For example, this candidate talks about Linux and how they overcame the challenges of using this operating system:

"My views about computing changed considerably when I heard about Linux. In the late nineties it was a newer operating system and tasks like installing and configuring were considered to be quite challenging in India. However, I was intrigued by this challenge and without any formal training I was able to independently install this system. This was due to the sound knowledge I had acquired through reading a vast range of technical books. My fascination towards the evolving IT industry has been growing ever since. "

Not only does this pick out something specific from the world of computing, but shows the reader that the applicant had the persistence and ambition to figure out how to install and use the operating system using textbooks, which is the sort of student they are looking to engage on their course.

Another example is the following candidate, who chose to open their statement by recounting the time they built their first computer:

"Building my first computer was an experience I will never forget. Looking over what seemed to be a city of silicone, I marveled at how elegantly the components were arranged on the motherboard. Yet I did not feel fully satisfied, as I knew there was a whole other world of computing, which could only be explored by completing a degree in computer science.

Studying A Level mathematics has taught me that there are countless methods of approaching a problem and I have also found this to be true of programming."

Again, the student has picked out something specific and told a story, which helps to engage the reader straight away and tells them how interested they are in computing. They then go on to relate their current studies to the course, which is another strength of the opening of this statement.

Hopefully these two examples show how you might put together your own unique opening for your computer science statement, but if you're still struggling, take a look at the rest of our example personal statements .

How do I write a conclusion for my computer science personal statement?

We suggest rounding off your statement with a paragraph about your extracurricular activities and hobbies, and how they relate to your course. For example:

"I also participated at a first-aid national contest organized by the Red Cross Romania, which gave me the opportunity to be the leader of a rescue team. This helped me understand better how to face critical situations and improve my leadership skills.

I often think that computer science will give me the chance to reach higher peaks, and I really consider that it has already helped me see life in a different way. Programming gave me the chance to help many children with special needs, to meet interesting people, to discover a new world. That is exactly why I would like to study and follow a career in this field."

Further resources

For more help and advice on what to write in your computer science personal statement, please see:

  • Personal Statement Editing Services
  • Personal Statement Tips From A Teacher
  • Analysis Of A Personal Statement
  • The 15th January UCAS Deadline: 4 Ways To Avoid Missing It
  • Personal Statement FAQs
  • Personal Statement Timeline
  • 10 Top Personal Statement Writing Tips
  • What To Do If You Miss The 15th January UCAS Deadline.

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Computer Science Personal Statement (Guide + Examples!)

Computer science personal statement (guide and examples)

Applying to study computer science can be quite a complicated programs. There are so many programs out there with so many application requirements. But don’t worry, we’re here to help.

In this blog post, we’ll give you some tips on how to write a computer science personal statement that will increase your chances of getting accepted into the program of your choice.

Table of Contents

What Is a computer science personal statement?

A computer science personal statement is a document that you submit as part of your application to study computer science.

In this statement, you’ll need to talk about your motivation for wanting to study computer science, as well as your skills and experience . This is your chance to sell yourself to the admissions committee and demonstrate why you’re the perfect candidate for their program.

Anatomy of a personal statement

Now that we’ve covered what a computer science personal statement is, let’s take a look at what it should include.

1. Introduction

Your computer science personal statement should start with a brief introduction . In this section, you’ll want to introduce yourself as a computer science applicant and explain why you’re interested in studying computer science. This is your chance to grab the attention of the admissions committee and make them want to read on.

2. Your motivation for wanting to study computer science

In this section, you’ll need to explain your motivation for wanting to study computer science. What is it about computer science that interests you? What are your long-term career aspirations? This is your chance to sell yourself to the admissions committee and demonstrate your commitment to the subject.

3. Your skills and experience

In this section, you’ll need to talk about your skills and experience . What computer science-related courses have you taken? Do you have any industry experience? This is your chance to show the admissions committee that you have the skills and experience necessary to succeed in their program.

4. Conclusion

Your computer science personal statement should end with a brief conclusion . In this section, you’ll want to restate your motivation for wanting to study computer science and reiterate your commitment to the subject. This is your chance to leave a lasting impression on the admissions committee.

Positive young Asian female student with earphones writing in copybook while doing homework at table with laptop in street cafeteria

Who reads my computer science personal statement?

The computer science personal statement is read by the admissions committee of the computer science department to which you’re applying.

This committee is made up of professors and industry professionals who are experts in the field of computer science. They will use your personal statement to determine whether or not you’re a good fit for their program.

Usually, the admission review process includes several rounds, and your computer science personal statement will be read by multiple members of the admissions committee.

How long should my computer science personal statement be?

Your computer science personal statement should be between 500 and 1000 words . This is enough space for you to introduce yourself, talk about your motivation for wanting to study computer science, and discuss your skills and experience.

Speaking in pages, your computer science personal statement should be one to two pages long . If your personal statement is longer than that, the admissions committee is likely to skim it, or even worse, not read it at all.

What should I include in my computer science personal statement?

There are a few things you will want to include in your computer science personal statement. In general, you should provide the admissions committee with convincing motivation and evidence that will portray you as someone both passionate and promising as a future computer science student.

Some things that you may want to include in your computer science personal statement are:

  • Source of motivation for studying computer science
  • Evidence of programming or quantitative abilities
  • Competitions/olympiads
  • Relevant work experience
  • Relevant projects
  • Accomplishments
  • Future career aspirations

Your personal statement may also include other information that you feel is important for the admissions committee to know about you. However, make sure that whatever you include is relevant to computer science and will help you stand out as a strong candidate.

college applicant writing a computer science personal statement

What should I not write in my computer science personal statement?

There are a few things you’ll want to avoid including in your computer science personal statement. First, avoid repeating information that is already available in your application . The admissions committee will already have access to your transcripts, test scores, and resume, so there’s no need to include this information in your personal statement.

Second, avoid including information that is not relevant to computer science . The admissions committee is looking for evidence that you’re passionate about computer science and have the skills and experience necessary to succeed in their program, so including information about your hobbies or extracurricular activities may not be the best way to go forward.

An exception to this is if you’re including information about extenuating circumstances that have impacted your academic performance, in which case you should briefly explain how these circumstances have affected you and why you’re still a strong candidate for their program.

Finally, avoid using cliches, quotes, or formulas in your computer science personal statement . The admissions committee is looking for an original and authentic voice, so be sure to write in your own words.

Tips on writing a top-notch computer science personal statement

Now that we’ve gone over what to include and what not to include in your computer science personal statement, let’s talk about how you can write a top-notch personal statement.

First, start by brainstorming a list of your computer science-related experiences, skills, and accomplishments . This will give you a good starting point for your personal statement and help you determine what information is most relevant to include.

As you’re drafting your computer science personal statement, be sure to keep the following tips in mind:

  • Write in clear, concise, and easy-to-understand language
  • Use active voice
  • Be honest and authentic
  • Personalize your statement to the program you’re applying to
  • Proofread your statement for grammar, spelling, and punctuation errors

By following these tips, you can write a computer science personal statement that is sure to impress the admissions committee and increase your chances of getting into your dream program.

two men facing each other while shake hands and smiling

Computer science personal statement examples

Now that we’ve covered the basics of what a computer science personal statement should include, let’s take a look at some computer science personal statement examples.

“I have been programming since I was 12 years old, and ever since then I have been fascinated by the possibilities that computer science offers. I am motivated by the idea of being able to create something from scratch and see it come to life, and I know that computer science will allow me to do just that. In addition, I have experience in working with code from different languages, which has taught me how to think critically and solve problems. My skills in critical thinking and problem solving are essential for studying computer science, as they will allow me to tackle complex challenges head-on.

Apart from my skills and experience, I am also passionate about learning new things. This is why during my free time I volunteered for Code for America, where I worked with a team of designers and developers to build a civic engagement platform. This experience showed me the importance of collaboration when it comes to creating something amazing, and it solidified my belief that teamwork is key to success.

Another project I got involved with was the development of a computer game for blind children. This project was important to me because it allowed me to use my skills for something good, and it also showed me how computer science can be used to create inclusive technologies.

Last year, I also had the opportunity to intern at Lyft, where I worked on a team that developed a new feature for the Lyft app. This experience was invaluable, as it gave me insights into the inner workings of one of the world’s most successful companies. It also showed me how computer science can be used to solve real-world problems.

Ultimately, I believe that I would be an excellent candidate for your computer science program because of my passion for the field combined with my skills and experience. I am confident that I have what it takes to succeed in computer science, and I hope to use my skills and knowledge to make a difference in the world.”

“I have always been interested in the way computers work and how they can be used to solve problems. This interest began when I was very young and has continued to grow as I have gotten older. My father is a computer scientist, so I have been exposed to computer science my entire life. In high school, I took several computer science courses and really enjoyed them. I also competed in several programming competitions and did well in them. In the following essay, I want to highlight my accomplishments as a computer science candidate and express my passion for this exciting field.

I am a computer science major at *NAME* University. I have taken several computer science courses and have gotten exceptional grades. My favorite course so far has been Introduction to Algorithms, for which I worked as a teaching assistant during my third year. I also competed in the Association for Computing Machinery International Collegiate Programming Contest, and our team placed in the top 100 out of 6,000 teams worldwide. This experience showed me that I have the ability to solve complex problems and work well under pressure.

As a student, I also worked as a part-time research assistant in the AI and Robotics laboratory, where I assisted in the development of a computer vision system for an autonomous robot. This experience allowed me to develop my skills in programming and computer science. In addition, I have also been a member of the Student Senate and have served on the Executive Board of the Student Government Association. These experiences have allowed me to develop leadership skills and learn how to work with others.

I am interested in computer science because it is a field that is constantly changing and evolving. There are always new problems to solve and new ways to solve them. I find this challenge exciting and invigorating. I am also interested in computer science because it is a field that combines creativity with logic. I enjoy using both my creative and logical sides when solving problems.

I am applying to your program specifically because I believe that it will allow me to further develop my skills in computer science. I am looking forward to taking classes from renowned professors and working with other talented students. I believe that your program will provide me with the skills and knowledge that I need to become a successful computer scientist.”

“Computers have always been a part of my life. As a toddler, I would watch my father work on computer programs for his business. Fascinated by the blinking cursor on the screen, I would ask him what he was doing and how it worked. My parents bought me my first computer when I was in grade school and I taught myself how to program in BASIC.

Since then, computer science has been my passion. I have pursued every opportunity to learn more about it, including taking computer science courses in high school and college and working as a research assistant for a computer science professor. I am excited to continue learning about computer science at the graduate level and to pursue a career in this field.

One of my biggest accomplishments in the field of computer science so far has been developing a computer program that can generate 3D models of human faces. This program has the potential to be used in a variety of applications, such as video game development, computer-aided design, and even law enforcement. I am currently working on submitting this program to a computer science conference for publication.

I have also been involved in a number of extracurricular activities related to computer science. I am a member of the Association for Computing Machinery and the Institute of Electrical and Electronics Engineers. I have also volunteered my time to teach computer science to elementary and middle school students through a local program called Girls Who Code.

Besides this, I have worked on several personal coding projects of my own. For example, I created a computer program that can solve Sudoku puzzles by using a technique called constraint satisfaction. I also developed a website for a local business called Joe’s pizzeria. My skills in computer science have also helped me in my other hobbies, such as photography and video editing. For the latter, I made a light correction tool that can automatically color-correct a video based on the primer of a still image.

I believe that my passion for computer science, as well as my experience in the field, makes me an ideal candidate for a graduate program in computer science. I am excited to continue learning and expanding my skills in computer science so that I can make an impact in this field. For this reason, I am excited to submit an early decision application to your computer science graduate program.”

MacBook Pro near white open book while writing a computer science personal statement

What should I do after I have my first draft?

After you have completed the first draft of your computer science personal statement, you should follow these steps to edit, polish, and finalize your computer science personal statement:

1. Check the word count : Most programs will give you a word or a page limit for your computer science personal statement. Make sure you stay within that limit, as going over it can make you seem like you can’t follow instructions.

2. Proofread and edit it : This step is crucial. A well-written and error-free computer science personal statement will make you look more professional and competent. Use spell check and grammar check , and then have someone else proofread it for you.

3. Ask for feedback : Once you’ve proofread and edited your computer science personal statement, ask a few people for their feedback. Choose people whose opinions you trust and who will be honest with you.

4. Repeat steps 2 and 3 as needed : After you’ve received feedback, make the necessary changes to your computer science personal statement. Then, proofread and edit it again. Repeat this cycle until you’re happy with your statement.

5. Modify personal statement for each program : Don’t just submit the same computer science personal statement to every program you apply to. Tailor it to each individual program, highlighting why you’re a good fit for that specific school.

6. Submit : Once you’re happy with your computer science personal statement, submit it along with the rest of your application.

Make sure you give yourself enough time to do all of the steps above so that you can submit a strong statement. Remember, this is just one part of your overall application package, so make sure all other elements are strong as well—such as your grades, letters of recommendation , and resume.

We hope that this guide has been helpful and that you feel more confident in your ability to write a stellar computer science personal statement. Remember, the most important thing is to be yourself and let your passion for computer science shine through. As long as you are genuine and articulate your interest in the field, you are sure to impress admissions officers. Best of luck!

essay for computer science application

Elmar Mammadov is a software developer, tech startup founder, and computer science career specialist. He is the founder of CS Careerline and a true career changer who has previously pursued careers in medicine and neuroscience.

Due to his interest in programming and years of past personal experience in coding, he decided to break into the tech industry by attending a Master’s in Computer Science for career changers at University of Pennsylvania. Elmar passionately writes and coaches about breaking into the tech industry and computer science in general.

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essay for computer science application

Computer Science Essay Topics

Donna C

Unleash Your Creativity with 160+ Computer Science Essay Topics

12 min read

Published on: May 5, 2023

Last updated on: Jan 30, 2024

computer science essay topics

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One of the biggest challenges students face when it comes to writing an essay is choosing the right topic. 

This is especially true for computer science students, who often struggle to find a topic that is relevant to the subject.

That's where our blog comes in!

We have crafted a list of over 160 computer science essay topics to help students find inspiration. Whether you're looking to write an impressive essay or simply looking for topic suggestions, we have got you covered.

So, let's get started!

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Computer Science Essay - Overview

A computer science essay is a written piece that explores various topics related to computer science. These include technical and complex topics, like software development and artificial intelligence. They can also explore more general topics, like the history and future of technology.

In most cases, computer science essays are written by students as part of their coursework or academic assignments.

Computer science essays can take many forms, such as research papers, argumentative essays, or even creative writing pieces. 

Regardless of the format, a well-written computer science essay should be informative, engaging, and well-supported by evidence and research.

Now that we understand the purpose of it, let's explore some of the most popular and interesting topics within this field. 

In the following sections, we will dive into over 160 computer science essay topics to inspire your next writing project.

Computer Science Essay Topics For High School Students

  • How Artificial Intelligence is Revolutionizing the Gaming Industry
  • The Ethics of Autonomous Vehicles: Who is Responsible for Accidents?
  • The Role of Computer Science in Modern Healthcare
  • The Benefits and Drawbacks of Artificial Intelligence
  • The Future of Cybersecurity: Challenges and Opportunities
  • How Virtual Reality is Changing the Way We Learn
  • The Ethics of Autonomous Vehicles
  • The Role of Big Data in Modern Business
  • The Pros and Cons of Cloud Computing
  • The Implications of Blockchain Technology

Computer Science Essay Topics For Middle School Students

  • How Computers Work: An Introduction to Hardware and Software
  • The Evolution of Video Games: From Pong to Virtual Reality
  • Internet Safety: Tips for Staying Safe Online
  • How Search Engines Work: Understanding Google and Bing
  • Coding Basics: An Introduction to HTML and CSS
  • The Future of Technology: What Will We See in the Next 10 Years?
  • The Power of Social Media: How it Impacts Our Lives
  • The Ethics of Technology: The Pros and Cons of Social Media
  • The Science of Cryptography: How Messages are Secured
  • Robots and Artificial Intelligence: What Are They and How Do They Work?

Computer Science Essay Topics For College Students

  • The Role of Machine Learning in Business
  • Cybersecurity and Data Privacy in the Digital Age
  • The Impact of Social Media on Political Campaigns
  • The Ethics of Artificial Intelligence and Autonomous Systems
  • The Future of Cloud Computing and Cloud Storage
  • The Use of Blockchain Technology in Financial Services
  • The Integration of IoT in Smart Homes and Smart Cities
  • The Advancements and Challenges of Quantum Computing
  • The Pros and Cons of Open Source Software
  • The Impact of Technology on the Job Market: Opportunities and Threats

Computer Science Essay Topics For University Students

  • The Application of Machine Learning and Deep Learning in Natural Language Processing
  • The Future of Quantum Computing: Challenges and Prospects
  • The Impact of Artificial Intelligence on the Labor Market: An Empirical Study
  • The Ethical Implications of Autonomous Systems and Robotics
  • The Role of Data Science in Financial Risk Management
  • Blockchain and Smart Contracts: Applications and Limitations
  • The Security Challenges of Cloud Computing: A Comparative Analysis
  • The Prospects of Cognitive Computing and its Implications for Business Intelligence
  • The Integration of IoT and Edge Computing in Smart City Development
  • The Relationship between Cybersecurity and National Security: A Theoretical and Empirical Study.

 Research Paper Topics in Computer Science

  • Artificial Intelligence in Cybersecurity: Advancements and Limitations
  • Social Media and Mental Health: Implications for Research and Practice
  • Blockchain Implementation in Supply Chain Management: A Comparative Study
  • Natural Language Processing: Trends, Challenges, and Future Directions
  • Edge Computing in IoT: Opportunities and Challenges
  • Data Analytics in Healthcare Decision Making: An Empirical Study
  • Virtual Reality in Education and Training: Opportunities and Challenges
  • Cloud Computing in Developing Countries: Opportunities and Challenges
  • Security Risks of Smart Homes and IoT Devices: A Comparative Analysis
  • Artificial Intelligence and the Legal Profession: Challenges and Opportunities

Computer Science Essay Topics On Emerging Technologies

  • 5G Networks: Trends, Applications, and Challenges
  • Augmented Reality in Marketing and Advertising: Opportunities and Challenges
  • Quantum Computing in Drug Discovery: A Review of Current Research
  • Autonomous Vehicles: Advancements and Challenges in Implementation
  • Synthetic Biology: Current Developments and Future Prospects
  • Brain-Computer Interfaces: Opportunities and Challenges in Implementation
  • Robotics in Healthcare: Trends, Challenges, and Future Directions
  • Wearable Technology: Applications and Limitations in Healthcare
  • Virtual Assistants: Opportunities and Limitations in Daily Life
  • Biometric Authentication: Advancements and Challenges in Implementation

Computer Science Essay Topics On Solving Problems

  • Using Artificial Intelligence to solve traffic congestion problems
  • Implementing Machine Learning to predict and prevent cyber-attacks
  • Developing a Computer Vision system to detect early-stage skin cancer
  • Using Data Analytics to improve energy efficiency in buildings
  • Implementing an IoT-based solution for monitoring and reducing air pollution
  • Developing a software system for optimizing supply chain management
  • Using Blockchain to secure and manage digital identities
  • Implementing a Smart Grid system for energy distribution and management
  • Developing a mobile application for emergency response and disaster management
  • Using Robotics to automate and optimize warehouse operations.

Computer Science Argumentative Essay Topics

  • Should the development of autonomous weapons be banned?
  • Is social media addiction a mental health disorder?
  • Should governments regulate the use of artificial intelligence in decision-making?
  • Is online privacy a fundamental human right?
  • Should companies be held liable for data breaches?
  • Is net neutrality necessary for a free and open internet?
  • Should software piracy be treated as a criminal offense?
  • Should online hate speech be regulated by law?
  • Is open-source software better than proprietary software?
  • Should governments use surveillance technology to prevent crime?

Computer Science Persuasive Essay Topics

  • Should coding be a mandatory subject in schools?
  • Is artificial intelligence a threat to human jobs?
  • Should the use of drones for commercial purposes be regulated?
  • Is encryption important for online security?
  • Should governments provide free Wi-Fi in public spaces?
  • Is cyberbullying a serious problem in schools?
  • Should social media platforms regulate hate speech?
  • Is online voting a viable option for elections?
  • Should algorithms be used in decision-making processes in the criminal justice system?
  • Should governments invest in space exploration and colonization?

 Current Hot Topics in Computer Science

  • The ethical implications of facial recognition technology
  • The role of blockchain in data security and privacy
  • The future of quantum computing and its potential applications
  • The challenges and opportunities of implementing machine learning in healthcare
  • The impact of big data on business operations and decision-making
  • The potential of augmented and virtual reality in education and training
  • The role of computer science in addressing climate change and sustainability
  • The social and cultural implications of social media algorithms
  • The intersection of computer science and neuroscience in developing artificial intelligence

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Controversial Topics in Computer Science

  • The ethics of Artificial Intelligence
  • The dark side of the Internet
  • The impact of social media on mental health
  • The role of technology in political campaigns
  • The ethics of autonomous vehicles
  • The responsibility of tech companies in preventing cyberbullying
  • The use of facial recognition technology by law enforcement
  • The impact of automation on employment
  • The future of privacy in a digital world
  • The dangers of deep face technology

Good Essay Topics on Computer Science and Systems

  • The history of computers and computing
  • The impact of computers on society
  • The evolution of computer hardware and software
  • The role of computers in education
  • The future of quantum computing
  • The impact of computers on the music industry
  • The use of computers in medicine and healthcare
  • The role of computers in space exploration
  • The impact of video games on cognitive development
  • The benefits and drawbacks of cloud computing

Simple & Easy Computers Essay Topics

  • How to choose the right computer for your needs
  • The basics of computer hardware and software
  • The importance of computer maintenance and upkeep
  • How to troubleshoot common computer problems
  • The role of computers in modern business
  • The impact of computers on communication
  • How to protect your computer from viruses and malware
  • The basics of computer programming
  • How to improve your computer skills
  • The benefits of using a computer for personal finance management.

Computer Science Extended Essay Topics

  • The impact of Artificial Intelligence on the job market
  • The development of a smart home system using IoT
  • The use of Blockchain in supply chain management
  • The future of quantum computing in cryptography
  • Developing an AI-based chatbot for customer service
  • The use of Machine Learning for credit scoring
  • The development of an autonomous drone delivery system
  • The role of Big Data in predicting and preventing natural disasters
  • The potential of Robotics in agriculture
  • The impact of 5G on the Internet of Things

Long Essay Topics In Computer Science

  • The ethical implications of artificial intelligence and machine learning.
  • Exploring the potential of quantum computing and its impact on cryptography.
  • The use of big data in healthcare: Opportunities and challenges.
  • The future of autonomous vehicles and their impact on transportation and society.
  • The role of blockchain technology in securing digital transactions and information.
  • The impact of social media and algorithms on the spread of misinformation.
  • The ethics of cybersecurity and the role of governments in protecting citizens online.
  • The potential of virtual reality and augmented reality in education and training.
  • The impact of cloud computing on business and IT infrastructure.
  • The challenges and opportunities of developing sustainable computing technologies

Most Interesting Computers Topics

  • The rise of artificial intelligence in information technology: opportunities and challenges.
  • The evolution of programming languages and their impact on software development.
  • The future of pursuing computer science education: online learning vs traditional classroom.
  • The impact of virtualization on computer systems and their scalability.
  • Cybersecurity threats in information technology: prevention and mitigation strategies.
  • An analysis of the most popular programming languages and their advantages and disadvantages.
  • The role of cloud computing in the digital transformation of businesses.
  • Emerging trends in pursuing computer science education: personalized learning and adaptive assessments.
  • Developing secure computer systems for critical infrastructure: challenges and solutions.
  • The potential of quantum computing in revolutionizing information technology and programming languages.

How To Choose The Right Computer Science Essay Topic

Choosing the right computer science essay topic can be a challenging task. Here are some tips to help you select the best topic for your essay:

  • Consider your Interests

Choose a topic that you are genuinely interested in. This will help you to stay motivated and engaged throughout the writing process.

  • Do your Research

Spend some time researching different computer science topics to identify areas that interest you and have plenty of research material available.

  • Narrow Down Your Focus

Once you have a list of potential topics, narrow down your focus to a specific aspect or issue within that topic.

  • Consider the Audience

Think about who your audience is and choose a topic that is relevant to their interests or needs.

  • Evaluate The Scope Of The Topic

Make sure that the topic you choose is not too broad or too narrow. You want to have enough material to write a comprehensive essay, but not so much that it becomes overwhelming.

Take some time to brainstorm different ideas and write them down. This can help you to identify patterns or themes that you can use to develop your topic.

  • Consult With Your Instructor

If you're struggling to come up with a topic, consider consulting with your instructor or a tutor. They can provide you with guidance and feedback to help you choose the right topic.

Tips To Write An Effective Computer Science Essay

Writing an effective computer science essay requires careful planning and execution. Here are some tips to help you write a great essay:

  • Start with a clear thesis statement: Your thesis statement should be concise and clearly state the purpose of your essay.
  • Use evidence to support your arguments: Use credible sources to back up your arguments. Also, make sure to properly cite your sources.
  • Write in a clear and concise manner: Use simple and straightforward language to convey your ideas. Avoid using technical jargon that your audience may not understand.
  • Use diagrams and visual aids: If appropriate, use diagrams and visual aids to help illustrate your ideas. This will make your essay look more engaging.
  • Organize your essay effectively: Use clear and logical headings and subheadings to organize your essay and make it easy to follow.
  • Proofread and edit: Before submitting, make sure to carefully proofread your essay to ensure that it is free of errors.
  • Seek feedback: Get feedback from others, to help you identify areas where you can improve your writing.

By following these tips, you can write an effective computer science essay that engages your audience and effectively communicates your ideas.

In conclusion, computer science is a vast and exciting field that offers a wide range of essay topics for students. 

Whether you're writing about emerging technologies, or hot topics in computer science, there are plenty of options to choose from.

To choose the right topic for your essay, consider your interests, the assignment requirements, and the audience you are writing for. Once you have a topic in mind, follow the tips we've outlined to write an effective essay that engages your audience.

If you're struggling to write your computer science essay, consider hiring our professional essay writing - CollegeEssay.org. 

We offer a range of services, including essay writing, editing, and proofreading, to help students achieve their academic goals.

With our essay writer AI , you can take your writing to the next level and succeed in your studies. 

So why wait? Visit our computer science essay writing service and see how we can help you!

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5 Carnegie Mellon Essay Examples

What’s covered:, essay example #1 – computer science, essay example #2 – healthy self-definition, essay example #3 – future business major, essay example #4 – future international relations major.

  • Essay Example # 5 – Politics
  • Where to Get Your Carnegie Mellon Essay Edited

Carnegie Mellon University (CMU) is a school with both impressive technical programs and outstanding creative programs. Because of the university’s multifaceted academic success and the tremendous opportunities students have after graduation, CMU is highly renowned and boasts a low acceptance rate.

In this post, we will go over essays real students have submitted to Carnegie Mellon. We will also share what each essay did well and where they could be improved to inspire your writing.   Names and identifying information have been changed, but all other details are preserved.

Please note: Looking at examples of real essays students have submitted to colleges can be very beneficial to get inspiration for your essays. You should never copy or plagiarize from these examples when writing your own essays. Colleges can tell when an essay isn’t genuine and will not view students favorably if they plagiarized. 

Read our Carnegie Mellon essay breakdown to get a comprehensive overview of this year’s supplemental prompts. 

Prompt: Many students pursue college for a specific degree, career opportunity, or personal goal. Whichever it may be, learning will be critical to achieving your ultimate goal. As you think ahead to the process of learning during your college years, how will you define a successful college experience? (300 words)

7:30 am… As I open my eyes, I look at the pinboard in front of my bed. Written in red block letters are two of the many goals of my life: “Make life better and more independent for the Visually impaired; Inspire kids to explore the field of STEM, making them the future problem solvers.”

9:00 am… Keeping these goals afresh in mind, I freshen up and get ready for the first class of the day, 16-385 Computer Vision, with Professor Ioannis Gkioulekas. As he explains the Applications of Neural Networks in Object identification, a light bulb sparks in my mind: I can modify the head contraption of SPECULUR to identify objects in peripheral vision and alert the wearer via an earpiece using Text to Speech (TTS). 

1:00 pm… After class, I find myself at the CI2CV Lab for Computer Vision, where I brainstorm ways to implement my idea successfully. Frustrated after repeatedly getting bugs in my algorithm, I am surrounded by problem-hungry tartans ready to collaborate with me in no time.

3:00 pm… After lunch, I head off to the Gates and Hillman complex to meet up with Gavin Deiss, an executive board member at Teknowledge, as we discuss ways to open teacher positions for high school students. I propose, “We can include students from AiGoLearning India and teach them a global coding curriculum.”

For me, a successful college learning experience at CMU comprises many things like exploring the unparalleled curriculum, innovative labs, and facilities. However, above all is the resource of people, including my fellow tartans and scholarly professors. The diverse experiences and unique backgrounds they bring cannot be found anywhere else; hence I want to assimilate all the insights I can gather from them, during my time at CMU.

What the Essay Did Well

If you are looking for a way to play with the structure of your essay, this is a great way to go! By describing their ideal day at CMU, we get to see this student’s interests, motivations, aspirations, and drive. Not only that, the essay flows nicely and effortlessly transitions to new ideas by jumping ahead in the schedule.

When students try to employ this schedule-style of an essay they often just discuss their class schedule and maybe an extracurricular activity. This is good, but this student goes above by starting the essay in their dorm and clearly showing us what motivates them with their sticky notes: “ Make life better and more independent for the Visually impaired; Inspire kids to explore the field of STEM, making them the future problem solvers.”  They also include them working at a lab outside of class, which is a nice bridge between their academic and extracurricular interests.

Although they only highlight three opportunities at CMU, the level of detail and elaboration for each one is infinitely more important than a long list of classes and clubs. When they discuss the class, the student incorporates key topics from the class and explains an original idea they develop as a result of being in class. Notice how that’s a bit different than simply name-dropping the course and professor? We also get told about them finding bugs in the algorithm (a common experience that humanizes the student) and we get snippets of a conversation they have at their meeting.

The structure this student chose serves this essay very well until the final paragraph. Breaking from the established pattern of following a daily schedule abruptly disturbs the flow of the essay and makes the ending more mundane than the preceding paragraphs. To fix this, the student should have kept the same style throughout their response.

They don’t need to tell us “ a successful college learning experience at CMU comprises many things like exploring the unparalleled curriculum, innovative labs, and facilities, ” because we saw that in each paragraph. The important aspect of their conclusion is the “ resource of people ,” as they say. This could have been highlighted in a paragraph like this:

“ 8:00pm… Squished between friends from my Biomedical Engineering class and my badminton club on the couch in the common room, I take in the diverse perspectives all coming together to settle the argument of East Coast versus West Coast once and for all. Where else but here would I be a part of such a colorful community?

11:30pm… I drift off to sleep, excited to do it all again tomorrow. “

Prompt: Consider your application as a whole. What do you personally want to emphasize about your application for the admission committee’s consideration? Highlight something that’s important to you or something you haven’t had a chance to share. Tell us, don’t show us (no websites please). (300 words)

I will never forget the feeling I had in Kindergarten when I received a failing grade because I couldn’t answer the question “where do you live?” It was a simple question, one that my classmates answered with ease. I was, however, struck by the recounting of my private home life. The 2009 recession left my family homeless and broke, living in the basement of a close friend. While we were fortunate to have somewhere to sleep, my family, especially me, internalized the negative sentiments from everyone we knew at the time. While my Kindergarten teacher didn’t mean any harm, the question reinforced my feeling of inferiority. No matter what I said, there were serious diminutions to my character: being honest about my homelessness or being dishonest about my own circumstances. I ultimately responded with the latter, saying “I don’t know.”

That day, I accepted the failing grade, and this moment became a stepping stone to a now valuable trait: healthy self-definition. Healthy self-definition relies on improving the objective truths of myself and fixing lacking characteristics into better ones. Lying to my Kindergarten teacher wasn’t healthy nor ethical to do, but the action of choosing who I wanted to be sparked the desire for healthy self-definition throughout high school. For example, I redefined myself from a dispassionate pianist to an authentic music producer. I used track and field to redefine my lack of athleticism growing up and eventually became a top-three sophomore 400-meter hurdler at my school. I had extreme social anxiety, so I used the Tech in Music Club to redefine my social ability and practice leadership and public speaking skills. In all weak aspects of my character and identity, I improved and continue to improve through these healthy redefinitions. Like Kindergarten me, I refuse to be defined by my circumstances.

This essay’s main strength is its content. At its core, this essay tells a beautiful story where a student transformed tragic circumstances into tremendous self-growth. That is exactly the kind of student that a university wants to admit!

The prompt here is very open-ended. From the point of view of admissions, it asks “what else do you want to tell us?” To a student, this can be read as “what additional information will help us get to know you and want you ?” This student identified their ability to see weaknesses as opportunities for improvement—which they label “healthy self-definition”—as something CMU would want, then used a specific anecdote to show that ability.

In addition to the content, this student followed a tried-and-true essay structure that allowed for an engaging, yet reflective essay. Opening with an anecdote, looking back on the experience, explaining the broader implications, and then tying the conclusion back to the anecdote is a simple, but effective, structure to use for your essay.

What Could Be Improved 

While the anecdote/reflection structure can facilitate an engaging essay, this student falls flat with their static writing. Essentially, the story is engaging, but the way the student writes it doesn’t do it justice. It’s repetitive, confusing, and a bit boring at times.

For example, in the first paragraph, the following phrases and sentences are all getting at the same idea and could be condensed into one concise sentence:

  • “I was, however, struck by the recounting of my private home life.”
  • “…my family, especially me, internalized the negative sentiments from everyone we knew at the time…”
  • “…the question reinforced my feeling of inferiority…”

With regards to the second paragraph, the student introduces a value that they call “ healthy self-definition. ” When describing “ healthy self-definition, ” the student is simultaneously repetitive and unclear. The current writing requires too much energy on the part of the reader to parse through what is being said. If the student provided a concise definition of “healthy self-definition” before giving the examples from their life, this paragraph would work better. 

With some simple reorganization and more dynamic writing, the paragraph could be as follows:

“That’s when I established a personal value that I now call “healthy self-definition”—of course, it took about a decade for five-year-old me to figure out the name for my value. Healthy self-definition, at its core, means that I take time to identify my weaknesses, then redefine them as strengths. I acknowledge who I am, then find opportunities for improvement. 

I’m a dispassionate pianist, turned authentic music producer. I’m a struggling athlete, turned “top-three Cedar High hurdler.” I used to nervously linger at the back of club meetings, but now I run the very same meetings. No one could dare call me weak when I’m constantly redefining my weaknesses as strengths. Just like Kindergarten me, I will not be defined by my circumstances.”

Prompt: Most students choose their intended major or area of study based on a passion or inspiration that’s developed over time – what passion or inspiration led you to choose this area of study? (300 words)

In fifth grade, my mother arranged a business for me and some friends. We must support a local business and donate our profits towards a good cause. Three ten-year-old kids, with money borrowed from our parents, purchased handmade crafts and ornaments made by disabled workers to resell. I led the operation. Scheduled for several weekends at a public market square, the commerce commenced. Despite my excitement running my first ever business, as the night arrived and the market awoke from its peaceful slumber, surging stranger anxiety stumped me. With adults swamping the space, my body unconsciously cowered. Embarrassment overwhelmed me, and I stood only able to stare at passing customers with my lips sewn shut. After the first night, three kids on the verge of tears sold two knitted dolls. My mother, sensing a crumbling business as its workers became paralyzed by fear, advised me, “As a leader, your job is to accomplish your goals not by yourself, but with your team.” Though not the typical cheers, my mother’s words roused the leader from within me. Wiping away my tears, I reconvened the team and restrategized. We assigned responsibilities: attracting customers, advertising, and collecting payments. Writing out our sales pitches and practicing with each other, we reunited with the sight of profits. The second weekend started: to every corner of the streets, we asked every possible customer. Our efforts paid off. At the end of that night, we sold out. Next weekend, us businessmen along with our parents went shopping using our profits. Looking at the Barbie dolls, stuffed animals, and model cars neatly wrapped, I proudly dropped the Christmas gifts at the local children’s cancer hospital. My first business endeavor taught me a crucial purpose of entrepreneurship: the ability to strengthen networks of people and make positive social changes.

This essay prompt is the classic “Why This Major?” essay,   which asks you to detail your interest in the field and your professional goals. The writer elaborates on their motivation to pursue entrepreneurship through a fitting anecdote about their first time leading a business.

The author shares genuine reasons that make entrepreneurship exciting to them, such as developing leadership skills and making positive social change. These are authentic reasons for pursuing their major that stay away from the superficial motives for pursuing a major such as money or prestige.

Additionally, throughout this entire essay the writer keeps their audience captivated by employing strong use of imagery. It almost feels as if one is right in the middle of the market with the writer as they struggle to navigate the chaos of the market. The line “Embarrassment overwhelmed me, and I stood only able to stare at passing customers with my lips sewn shut” makes the reader feel just as anxious as the author is in the moment. And it feels even better to the reader when the author sells out the entire stock of crafts and ornaments the following night and donates the money to charity. 

As the essay progresses, it’s hard not to wonder what is going to happen next, and the story strings together very nicely, despite having a limited word count. By the end of the essay, the reader has a better understanding of why this student has chosen to pursue entrepreneurship, because they have shared an exciting lived experience that captures the ups and downs of a fast-paced, turbulent major.

All in all, this essay was well written and the author’s point came across well. However, a few items could be slightly improved, including a few syntax errors, poor transition statements and slight thematic inconsistency. 

The second sentence of this essay “We must support a local business and donate our profits towards a good cause” appears a bit out of place and may be better suited in quotes as the mother appears to be speaking these lines. Alternatively, the writer could have rephrased to something like “We were tasked with supporting a local business…”

Similarly, in the last sentence, the author says their motivation for pursuing entrepreneurship is the “ability to strengthen networks of people,” when it may have been more succinct and less clunky to say something along the lines of “the ability to bring people together.”

Another area of improvement for the essay comes in the middle, when the author’s mother “roused the leader” within them. The author could have expanded on why their mother’s words roused them to overcome the daunting obstacle, but instead missed the opportunity to explain why they felt inspired to continue selling ornaments at the marketplace. The author may have even suggested that by overcoming their challenges at the market, they would accomplish their ultimate goal of donating their profits to charity, highlighting their sense of altruism.

The final sentence even states that the author intends to pursue entrepreneurship to make a positive social impact. However, in a thematic sense, this idea is not consistently present throughout the essay. If the author were to include more details about their desire and motivation to donate their profits to charity throughout the essay, this point would have been much more understandable.

Finally, the essay is hard to follow because it’s only one paragraph. The flow would’ve been improved if the author broke the essay up into a few shorter paragraphs.

At 8 years old, I learned that Democrats were donkeys and Republicans were elephants. By 11, I had decided which one I wanted to be. By 14, I discovered I didn’t have to be an elephant or a donkey—the political world was not black and white, but instead multifaceted with many moving parts. As I explored programming through high school, I learned how politics and computer science could be intertwined to enact change exponentially. For the Congressional App Challenge, I developed the winning app, which allows parents to sustainably trade outgrown children’s clothing. Everything in this process, from surveying real families with this need to perfecting the front end design, showed me how coding could easily be geared toward social progress. 

Beyond programming, interning for a state non-profit encouraging Muslims to participate in politics showed me the real potential of computational politics. Big data analysis was a common skill I utilized when encouraging people to vote in the 2022 general election. What furthered my interest was attending a Kode With Klossy event in New York City: I not only spent the day workshopping with Swift and iOS app development, but also heard the stories of activist Sofia Ongele, a pioneer for young women in STEM. 

Discussing sanctions and China’s Uyghur Muslim crisis with U.S. Representative Jim McGovern was my first look into the workings of international conflict resolution. The power systems behind diplomacy became a point of fascination for me. Whether it was marching miles chanting “No Justice, No Peace” in June 2020 or debating as Elizabeth Warren in my ninth grade mock democratic primary, I have taken every stride to involve myself politically. Majoring in international relations and politics and minoring in science, technology and society at Carnegie Mellon is the next step in furthering my involvement.

This essay is another great example of the “Why This Major?” archetype. The author shares why the intersection of technology and politics is the perfect fit for her, through her unique experiences and background.

The introduction is a captivating one, which follows her evolving understanding of politics. Starting with a simplistic view of “Democrats as donkeys and Republicans as elephants” at a young age, the writer matures and recognizes the complexity of the political landscape as she enters high school. This progression implicitly showcases her thoughtfulness and willingness to challenge existing beliefs which are critical to any career in politics and international relations.

Additionally, the essay adeptly integrates the realms of computer science and politics. The author provides a unique combination of academic interests that most applicants would otherwise shy away from. The writer’s successful development of an app for the Congressional App Challenge exemplifies her ability to utilize coding for social progress. By mentioning the process of surveying real families and refining the front-end design, the writer illustrates her comprehensive approach and shows how coding can be harnessed as a tool for enacting positive social change.

Finally, the author provides more unique experiences that reveal her true passions for politics and technology. She references her experiences during the 2022 election and Kode With Klossy events which each relied on bringing together both her academic interests. In the final paragraph, the author provides even more evidence to her experience in the political realm which drive home the point about her interest in her major as well as show accomplishments in a specific area which are hard to come by for most students.

From initial impressions, this essay is great at providing sufficient evidence as to why this author is pursuing international relations and politics with a minor in technology. However, one suggestion for this author, and general advice for any applicant, is not to fall into the trap of simply recapitulating all of one’s resume in an essay. This author has unfortunately used most of the 300 word count to list out her experiences and qualifications, but misses out on key opportunities to expand upon how these experiences have shaped her perspective and developed her interests over time.

In general, there is a lack of reflection on the lessons learned from the various experiences mentioned. While the writer describes her involvement in protests, debates, and internships, there is limited discussion of the personal growth and insights gained from these activities. The author has experiences including “ winning the Congressional App Challenge, to marching miles chanting ‘No Justice, No Peace’ in June 2020 or debating as Elizabeth Warren in [her] ninth grade mock democratic primary,” which could all be powerful standalone experiences for a 300-word essay. Adding a reflective element to the essay would provide a deeper understanding of the writer’s development and demonstrate their ability to learn from their experiences.

For example, the author could remove a few activities from her essay and  expand upon the experience of winning the Congressional App Challenge, discussing her thought process and emotions during the development of the app, or the impact it had based on feedback from families.  Here’s an example of an excerpt that would’ve made this section stronger:

“I decided to use the app for myself to clear out the bags of my younger brother’s baby clothes in the basement. A young immigrant mother responded to my post, saying that she hadn’t been able to afford properly-fitting baby clothes for her toddler son. A week after she picked up the bags, the mother returned with her giggly son in his ‘new’ clothing. The mother was full of gratitude, and I was just as grateful for this experience as it showed me the direct impact coding could have on improving real lives and making social progress.”

By incorporating specific examples and adding reflective elements, the essay would become more compelling, allowing the reader to better understand the writer’s experiences and their personal growth. These adjustments would enhance the overall quality of the essay and provide a vivid and engaging narrative.

Essay Example #5 – Politics

At Carnegie Mellon, I see myself defining a college experience in which I can widen my career goals in politics and learn from real-world experiences. D.C. is where I hope to work following college, as there is no place better than our capitol to explore the inner workings of decision-making in government. Through CMU’s Washington Semester Program (WSP), I aim to intern with a member of Congress to expand my understanding of the legislative process and gain experience in the nation’s center of politics. This orientation into Washington and chance to meet leaders and alumni at top think tanks would allow me to connect with all the working parts of public policy, encapsulating everything I wish to take from college. 

Immersing myself in the relevant and multifaceted courses at the Institute of Politics and Strategy is how I plan to take my learning to the next step at CMU. Electives like “Implementing Public Policy: From Good Idea to Reality” and “In the News” intrigue me; they tie in law and journalism with politics, contextualizing it in a realistic and applicable sphere. 

I hope to conduct research to delve deeper into what I’m passionate about and ripen my goal of effecting change. Under esteemed criminologist and public policy expert Professor Daniel Nagin, I see an opportunity to conduct actionable research on race and incarceration. I want to discuss the disparities in Pennsylvania’s fast growing prison populations itself and develop my paper “Slavery is Flourishing Under the U.S. Prison System.”

Expanding my learning doesn’t end with academics, however. I am eager to explore the diverse community at CMU, and start a cultural literary magazine for all students to share their lived experiences about their heritage through art, writing, and overall self-expression.

This prompt is basically the “ Why This College? ” essay presented in a different way. The goals of the prompt are the same, however: it’s asking you what makes CMU the perfect school for you, and how you will make the most of its resources to have a successful education.

This student clearly has an interest in politics, detailing specifics such as their hopes to pursue an internship, undertake course work, and do research to further their education. They show that they’ve done their research on why CMU is a fit for them, by mentioning unique resources at the college.

Furthermore, the author does a great job of providing additional information as to why they would like to pursue the activities they’ve researched. They explain how CMU’s WSP will teach them about the legislative process, how their classes will tie in law and journalism, and how their research will deepen their understanding of race and incarceration. Providing this level of detail helps admissions officers understand what this student values and is hoping to learn through their education at CMU.

Writing-wise, the student also makes sure to use varied sentence structure and smooth transitions, making the essay easy to read.

The objective of this essay is two-fold: 1) what do you hope to accomplish in your undergraduate degree program, and 2) how CMU is uniquely equipped to help you realize your goals.

The essay does a great job in answering question #1, but could do more to address the latter. We know why the student is interested in the resources they mention, but we don’t know how those things will help them reach their overarching academic and career goals. 

In fact, we don’t even know what those overarching goals are: does this student want to become a political journalist, politician, or something else? It’s okay if you’re undecided, but you should at least share some potential options, rather than simply saying that you’re interested in a broad field (like “politics”), which feels unfocused.

The student should also move the section about CMU’s program in D.C. to later in the essay, as having it right at the beginning makes it seem like they’re more interested in spending time in D.C. than on CMU’s campus in Pittsburgh.

Additionally, the final paragraph, about the student’s hope to start a cultural literary magazine,  feels unrelated to the rest of the essay, which is focused on their political interests. If they wanted to include this detail, they should’ve introduced it earlier, to give themselves time to connect it to their other ideas.

Where to Get Your Carnegie Mellon Essays Edited

Do you want feedback on your Carnegie Mellon essays? After rereading your essays countless times, it can be difficult to evaluate your writing objectively. That’s why we created our free Peer Essay Review tool , where you can get a free review of your essay from another student. You can also improve your own writing skills by reviewing other students’ essays. 

If you want a college admissions expert to review your essay, advisors on CollegeVine have helped students refine their writing and submit successful applications to top schools. Find the right advisor for you to improve your chances of getting into your dream school!

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See also the MIT EECS Comm Lab’s advice on how to write a Graduate School Statement of Purpose .

Hal Abelson

I’m looking for leadership and initiative. My group has a large number of undergraduate students and I look to our grad students to be role models and leaders. Compelling application essays should talk about actual accomplishments: applications you’ve created that others are using, technical organizations you’ve started or where you play a major role. There of course needs to be a track record of academic excellence. But the centerpiece of my group is empowering people of all ages through technology, as users and creators. That passion should come through in the essay–and it’s even better if there’s a track record to point to.

Karl Berggren

An application essay provides a number of useful information points when I’m reading a candidate’s application. I’m mostly looking to see if the person can communicate clearly. Second, I’m trying to find out a bit about the person, especially their personality and motivation, and how they think about science and engineering. Finally, I’m interested in learning a bit about what circumstances have shaped the candidate’s life. This is the place where I want to know if someone has faced exceptional challenges or took advantage of a unique opportunity to do something special. Because of the importance of writing in an academic environment, I’m looking to see if there is structure to the essay, and if paragraphs are well formed. For me, the essay is really not usually the main compelling reason to admit a student, but an essay that is over the top, or is poorly written or poorly structured, sometimes puts me off a candidate who otherwise would be a possible admit.

Adam Chlipala

I think it’s useful to think of PhD applications as more like job applications than earlier educational applications. You are applying to be an apprentice researcher, and thus concrete research experience (attested to by knowledgeable supervisors in letters) is most useful to give evidence that you will succeed. Then the specifics vary by research area. I’m looking for specific technical skills and bigger-picture direction-setting skills. In my area, the former are a mix of software/hardware implementation at a decently large scale and comfort with rigorous math and logic. The latter come down to finding ways that computer systems are developed ineffectively today, and thinking up ways we could change the development tools–ideally applicants can point to cases where they were the ones driving that brainstorming, not just implementing ideas coming from supervisors. Giving some examples of project directions you want to explore is helpful both for showing that kind of initiative, and for helping potential advisors gauge fit with their own interests. However, don’t worry that anyone will hold you to working on any of the specific ideas you list!

Frédo Durand:

Mostly two things:

1/ Can the applicant think and write deeply and intelligently about state-of-the-art technical issues?

2/ What kind of technical area (very broadly speaking) are they interested in?

One challenge for applicants is that the two answers sometimes conflict: the first question requires narrowness, but you probably want to show you’re interested in a broader set of topics to maximize the number of faculty members who feel they may want to work with you. So, I usually advise students not to restrict their essay to their past research, but have a paragraph or two at the end or beginning to list the areas that appeal to them. Ideally, the letter would give me a sense of how they attack an open problem, through the example of past projects (ideally research projects).

Regarding recommendation letters, I want to read about a candidate’s potential to do research. The most insightful letters are from people who have supervised you on a research project, or on a project that involves a fair amount of independence and creativity. I find letters from people who only know a candidate in a class context less useful, unless the student has done a particularly remarkable project. Letters from mentors in industry can be useful, especially if they do or have done research. However, not all applicants (including successful ones) have three letters that are equally thorough, and it’s quite common to have 1 or 2 letters from people who really know you well from a research perspective, and 1 or 2 that are a little more superficial.

Polina Golland

The essay should focus on your interests and look to the future. Describe what problem you would like to tackle in the future and approaches you might want to take. Even if I disagree with what the applicants write, it is revealing on how they think and gets me interested. Keep the description of your (very impressive) past projects to the minimum, mention them only as support for what you want to do in the future. Your CV, other sections of the applications, and recommendation letters will talk about past projects, and it’s a pity to use your essay to rehash it again.

Piotr Indyk

For me, the most important aspect of the application is the evidence of research skills. In the ideal case, it would take the form of publications/manuscripts describing the research project(s) and results, which I can read and review. Descriptions of research projects in recommendation letters and/or the research statement are less optimal, but also OK. However, it is understandable that not all applicants have the same opportunities to pursue undergraduate research. In such cases, I try to infer from other parts of the applications, such as grades (esp. for relevant technical subjects), recommendation letters and other activities like olympiad participation. Regarding the research statement, I find it to be useful as a broad indicator of applicant research interests, but since interests of many (most?) applicants evolve, I do not put that much weight on it.

Daniel Jackson

When I think about taking on a graduate student, I ask myself: is this a good match? I want to be sure that we’ll enjoy each other’s company and be successful working together. That means you’ll be excited by the kind of work I do, and have a reason to think that working with me will be better for you than working with someone else. The students I tend to gel most with want to reconsider how we design and build software, and like to think deeply (and even a bit philosophically) about the fundamental problems. So I read the statement carefully, looking for someone who thinks clearly and creatively, knows a little bit about what I do, isn’t too distracted by technology or formalism for its own sake, and is eager to pursue big ideas. And if there’s some project you’ve done that shows some promise (especially if one of your letter writers can talk about it), so much the better.

Leslie Kaelbling

For me, the most important thing in an application is the best letter of recommendation, by a large margin. The main research letter should speak to the candidate’s creativity, independence, bravery, and ability to get things done. The other letters usually don’t matter much. I like unusual candidates, and am generally more interested in someone who has done something on their own, or in an unusual place, than someone with a lot of papers who spent four years in a very productive and prominent research group. Most essays are neither a positive nor a negative for the application. The ones I remember and value are ones that I learned something from–essays that are actually interesting to read because they have a strong or novel view or that articulate a clear vision. I also like to get the feeling that the candidate really values research intrinsically–that they are not simply applying to do a PhD because it seems like a good stepping stone to something else, or something that is highly esteemed by others. I don’t worry about a few poor grades, if they have an explanation: early in the student’s career, or during one rough semester, or as the result of exploration. I’d rather see a student with a few Bs or a C, who has taken challenging classes, than someone with a perfect GPA and completely standard undergraduate curriculum. I am completely unimpressed by a student who takes twice the normal course load—they should have been doing research!

David Karger

There are two questions that I ask when I’m looking at an application.

(1) Will this student be interested in working on the kinds of things that excite me?

And (2) do they have the independence and organization necessary to work for a laid back, disorganized advisor like me?

For the first question, I like to hear what specific problems interest you, and why. Not why you’ve loved computer science since you got your first PC at age 4, but why you consider certain specific problems important and interesting, and how you might go about trying to solve them. It certainly doesn’t hurt to have looked at some of the work my group is doing, talk about why it’s interesting to you (not just that it is), and maybe give some thoughts on where it might be interesting to take it further. But hearing your own ideas is wonderful too. You need not have solved them already, although it is great to talk about a problem you have already worked on.

The second question is specific to my advising style. I provide a lot of support and feedback to my students, but I don’t do a lot of management. So it’s important for me to know that a student will take initiative, make choices about what to work on, make decisions about designs and implementations, set their own deadlines and meet them, and come to meetings with ideas and questions to move the work forward. Just claiming this in your statement isn’t particularly meaningful, but I look for signs of it in past work (and recommendation letters).

Manolis Kellis

I’m looking to see several things:

(1) Clarity of thought: this comes through in the essay; the vision they have (for the field, how their works fits in, the broader perspective within, next steps, etc); the way they describe their accomplishments (organization, background, clarity of innovation, are they able to explain the problem, the challenge, the novelty, etc); and, of course, their grades and accomplishments.

(2) Research accomplishment: Show that they can innovate, invent, find problems, frame them, and bring things to completion, writing papers, completing projects, packaging up code, creating tools.

(3) Letters: Evidence of standing out, innovation, novelty, ability to make progress independently, yet team spirit and collaboration.

(4) Technical: Of course, their training, the rigor, the background, grades, competitions, etc.

(5) Passion: Especially for an applied field like genomics/biology/medicine, showing that they truly care about the application area, not just about the algorithms, but that they truly have sought to find something novel in the specific application area that they have chosen, and been able to interpret their results and make conclusions about the applied field.

Stefanie Mueller

For me, the most important is that the applicant can show that they have research experience in my research field. Hiring a PhD student is a 5-6 year commitment, so it is very important for me that the applicant can show me that we will produce exciting research together. When I read an application, I first check if the applicant has publications in my research field on topics related to what my research group works on. After this, I look at the recommendation letter writers and see if they come from faculty in my research field and if they talk about that the applicant can conduct research in my field. Letters from outside my research field are not very useful in determining if the applicant can do research in my area. After this, I read the statement of purpose to see if the applicant has ideas that I would also be excited to work on.

Will Oliver

When I read a graduate student applicant’s research statement, I look to obtain a picture of the student and their research interests. This includes the student’s motivations for research. Who is this person, where did they come from, what sparks their interest in science and engineering, how has that been reflected in their lives and their trajectory? I then look for examples of research experience, broadly defined. This could be an experience as an undergraduate researcher, a summer internship, or even a substantial hobby project (to name a few). I look for tangible outputs from those projects, such as a peer-reviewed publication. I then look for what the student wants to accomplish in graduate school. I appreciate a genuine exposition of intellectual curiosity and enthusiasm in describing these goals. While this approach naturally leads to some specificity in research topics, I also look for some flexibility and breadth. For example, even if the student has one top-choice topic or group, it is a good idea to articulate other (often related) areas that would also be of interest.

Al Oppenheim

A long time ago one of my graduate students asked me what I look for in choosing the students to work with. My quick and somewhat playful answer was that I have four criteria: intelligent, creative out of the box thinker, enjoyable to interact with, and coachable. From applications on paper and without personally meeting the applicant, it’s often hard to assess these and particularly the second, third, and fourth. An approximation to the first can be based somewhat on the transcript. The other three, perhaps mostly from the reference letters and personal statement and when possible personal interaction. The two areas in which applications are often weak are in the choice of references and the lack of detail in the reference letters, and in the crafting of the personal statement. In writing the personal statement I’ve typically advised potential applicants to use it as an opportunity to truly show their motivations, goals and personality, rather than trying to pattern match to what they think readers will give high marks to. If the personal statement is genuine and honest, it shows. And if it isn’t, it also shows.

Gerald Jay Sussman

The problem is that we have too many “excellent” applicants, most of whom would do fine in our graduate program. Most would do good, publishable, but incremental research. We accept plenty of those excellent people. But I am looking for the candidates that could break a paradigm and open up a new field of research.

So what I look for in an application is evidence that the candidate has an unusual perspective, perhaps in conflict with the conventional wisdom of the field. I am open to considering crackpots, but I also look for evidence of technical skill and clarity of thought and expression that separates the interesting characters from crackpots.

Additionally, the most persuasive information in an application is reference letters from previous supervisors or teachers who attest to the skill and creativity of the applicant.

George Verghese

Most of my reading of graduate folders necessarily happens at the initial stage of evaluations, when I’m looking for applicants who seem like they would thrive in, and contribute strongly to, our department or a broad research area within it. The application folders that emerge from this reading then get passed on to other faculty for more focused evaluation. So at the initial stage I am not necessarily looking for a good match to my personal research interests or style; that can come later, when I look at short-listed folders, perhaps sent my way by other faculty who think I might want to take a look.

For the initial reading, I first examine the applicant’s academic record, to be reassured that they will be able to handle at least the course work in our graduate program. A few blemishes in early years may be fine, but anything less than a strong overall academic record is likely to be a non-starter (though I will read quickly all the way through the application, feeling I owe at least that much to a hopeful applicant who has paid their application fee!).

I then look for tangible, documented outcomes of activities that go beyond standard academic efforts, whether unusual and independent projects (not standard lab projects in a class), or in research or internships. An important part of the substantiation is in the letters of reference, which have to reflect genuine, specific, modulated knowledge of the applicant and their work, and corresponding enthusiasm. A letter that sounds generic, though filled with superlatives and rating the candidate as Truly Exceptional, will not count for much. I want to know that the letter writers see stellar achievement (in academics and beyond) and potential, based on the specifics of their interaction with and knowledge of the applicant.

Finally, I turn to the student’s statement to get a sense of their voice, how they see and present themselves and their accomplishments, and what they’re looking to find in/with their graduate work. A well-crafted statement that comes across as mature, genuine, and reasonably aware of the field in which they hope to concentrate counts for a lot.

Ryan Williams

When reading a grad school application, I focus on several things. The first (obvious) thing is whether my interests align well with the applicant. This doesn’t necessarily mean that the applicant is working on the same exact problems as me; it means that I try to understand their taste in problems and topics, and how this fits with what we study in my research group. Another important thing is independence (in research, thought, etc): we get many applications from many talented students from all over the world, but we don’t see too many who showed a significant degree of independence in their thought and behavior, different from those around them (including their mentors). This can come out in the statement of purpose, but often more so in the letters. “Independence” can have various interpretations, and I’m deliberately leaving the term somewhat vague, because I think any of those interpretations can be important. Another important thing is the quality of their communication, especially their writing. I always read the statements of purpose carefully, as well as any writing samples the applicant has provided. Of course, letters of recommendation which attest to all of these qualities are also very helpful.

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Computer Science

Spring ’24 Application To The Major

Please note, if you are a transfer student applying directly to the major, this page does not pertain to you. please see the information here: https://cs.unc.edu/academics/undergraduate/.

The demand for concentrating in a Computer Science program has grown significantly at UNC over the past decade. In order to maintain the quality of educational experiences Carolina students studying Computer Science deserve, we must restrict the number of students majoring in computer science relative to our faculty size’s ability to sustain the programs. 

Those wishing to concentrate in Computer Science must be admitted to a major program (BA or BS). Students who are currently enrolled in, or have credit for, COMP 210: Data Structures AND (COMP283: Discrete Structors OR MATH381: Discrete Mathematics) will be eligible to apply. These courses represent prerequisites for COMP211 and COMP301, the next courses in the computer science introductory curriculum. This page contains information about the Spring ’24 application. Students who are admitted to the program will then continue through the introductory course sequence with COMP 301 and COMP 211 and will have access to upper division electives to complete their degree programs.

Eligibility

Students who are currently enrolled in, or have credit for, COMP 210: Data Structures AND (COMP283: Discrete Structors OR MATH381: Discrete Mathematics) are eligible to apply. Students with transfer credit or placement exam credit for COMP 210 and one of COMP283 or MATH381, may also apply. Students must meet other prerequisite and grade requirements to apply as required by the curriculum.

Timeline for Spring ‘24 Admissions to CS Programs

  • February 15th, 2024 – Applications Open
  • February 22nd, 2024 – Applications Open
  • March 28th, 2024 – Application Must Be Started on, or before, this Date
  • Applications  MUST  be started by March 28th in order to have time to complete
  • The application system will allow a small grace period on applications started before March 29th to submit through April 1st.
  • June 20th, 2024 – Decisions Communicated on or Before

Application

Students will apply via (a) a standard application requesting biographical information and (b) an essay. The admissions committee will additionally seek academic records through the close of the semester, course data from required departmental courses, and any other information available on contributions within the computer science department or community.

The application process is managed through the University administered Slate system. Students must request the application through Connect Carolina and will then be sent a link to the Slate application via email. The steps to make an application request are:

  • Open Connect Carolina
  • Go to Student Center
  • In the left-hand sidebar under “My Academics”, look for the dropdown at the bottom of the list of options. Select “Apply for Major/Minor Change” in the dropdown, and click the continue arrow button.
  • Select Computer Science for 2024 Summer II. Note this just means that your major change will go into effect for Summer II. It does not mean you have to register for summer school. This is by design so that accepted students have their major changed as soon as possible. Agree to Intent to Apply. Submit.
  • Wait at least one business day (meaning Monday if you make the request on a Friday, Saturday, or Sunday) to receive an e-mail with a link to the application. If the e-mail does not arrive, contact [email protected] for help.

NOTE: The application will seem to only provide the ability to select BS. Go ahead and do so even if you intend to do the BA. There is only one application for both degree programs and we do not make any distinction between the two for purposes of admission. Once admitted, you’ll be able to change your degree intent to either the BS or BA as you wish.

With the aim of fostering the development of an energetic, creative, diverse community of computer scientists at UNC-Chapel Hill, the admissions committee will perform a holistic review of each candidate’s application. This review will consider the strength of the applicants’ coursework to date, alongside their essays, extracurricular activities/special talents, potential contributions to the computer science community, and any special circumstances. The goal will be to consider each applicant as a whole individual, not merely as a class rank or GPA, and assess their potential to contribute to the department’s community and help achieve its mission.

Review Committee

The Computer Science Undergraduate Program Admissions Committee will be chaired by a computer science faculty member. Members of the committee may include faculty, staff, and graduate students.

Admitted students will be allowed to register into at least one and possibly both introductory sequence courses COMP 211 and COMP 301 in the semester of their admittance. These courses are required in the introductory sequence and are prerequisites to all upper-division courses.

Non-admitted students will not be able to enroll in additional COMP courses required of the degree programs and may only reapply one time in the next admissions cycle.

Applying For Other Degree Programs In The Professional Schools At The Same Time

Students are able to apply for other application-based majors in the professional schools (i.e., Data Science, Information Science (SILS), Business, Biostatistics (Public Health), Journalism, etc.) at the same time as applying for the CS program. Your application to other programs or accepting admission to another program will not affect your chances of being accepted in the CS program.

However, the system can not process more than one accepted program in a semester and programs associated with a professional school must be your primary major. This means that if accepted into both a professional school program and the CS program, you should accept the professional school program through the system and then request that professional school associated with your now primary major to add the CS major as a second major. The department can help you sort this out once acceptance decisions have been made and communicated.

Undergraduate Admissions

The University of Washington is a great place to study Computer Science, Computer Engineering, and many related technology fields! There is a wealth of relevant majors: Computer Science and Computer Engineering offered by the Paul G. Allen School of Computer Science & Engineering (we're glad you're here!), Informatics, Human Centered Design & Engineering, Applied & Computational Mathematical Sciences, Electrical Engineering, and more!

As you launch into your time at UW, it's important to recognize that many students discover a new academic passion during their first year - they indicate preference for one major on their UW application, but an exciting introductory course in another field causes them to reconsider. This is healthy! Students who come to UW intending to major in a field other than Computer Science or Computer Engineering sometimes take our introductory course, discover that they love the field and have a flair for it, and become our majors. Students who come to UW intending to major in Computer Science or Computer Engineering sometimes discover that another major - for example, Informatics or Human Centered Design & Engineering - is better suited to their interests. Don't feel constrained - explore the breadth and depth of the University of Washington!

As with many other programs at UW, the Paul G. Allen School is capacity-constrained: the number of interested students significantly exceeds the number of student places that are available. (We can't expand arbitrarily. Providing a world-class Computer Science or Computer Engineering education requires appropriate class sizes, laboratory facilities, faculty, etc.). Below you will learn about the different admissions pathways to get into the Allen School. 

Admission Pathways

Most students enter through our Direct to Major Admission pathway from high school, or Transfer Admission from another university or college, about 25-30% of our students apply after coming to UW and discovering a passion for Computer Science or Computer Engineering. This section contains detailed information for each of the following:

  • Direct to Major for Freshman Applicants :   This process grants Allen School admission to incoming freshman applicants who list either Computer Science or Computer Engineering as their first choice major, based on the standard UW Freshman Application.  Unfortunately, capacity constraints mean that many students admitted to UW cannot be accommodated in the Allen School.
  • Washington State Academic Redshirt (STARS) Program :  The Washington State Academic RedShirt (STARS) program supports engineering and computer science students from low-income, first-generation, and underserved backgrounds in navigating the transition to college-level courses.
  • Transfer Admission :   Transfer applicants are selected for admission based on the standard UW Transfer Application and a supplemental department application.  Priority is given to students who are coming directly from a Washington State community or technical college.
  • Current UW Student Admission :  T his pathway is intended for students who are currently enrolled at UW, discover a passion for CS or CE and then apply.

How Many New Majors Each Year?

The Allen School currently is able to enroll roughly 630 new students each year. This includes all admission pathways, and both Computer Science and Computer Engineering.

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I am a firm believer that the world will be overtaken by machines in the future. Maybe, we will be able to live the real-life Terminator scenarios. But, the overarching fact is that the world is true, being taken over by the machines and new technologies. Slowly, we have been more and more inclined to depend on technology than we used to. With a good fascination with computers, I was always aware of this as I always wanted to know more about how the technology worked. So, as a self-proclaimed technology enthusiast, I have been studying Computer Science at the college.

I was never sure what I was going to do after completing my degree and had to research about the job opportunities I would supposedly get after finishing my studies. After making a long list of job options, I was pretty sure that every one of them was as complicated as the job title they had. I will tell you, it was 2 years ago that I made the list, but now it is clear to me that it is as hard to complete the degree in the first place. So, I can imagine that the work I must put up with the jobs ranging from an IT manager to web designer will be hectic. However, there are so many things you could do with the degree that I am still not sure what kind of job I will be doing 10 years from now.

It is believed that technical skills will be high on demand in the near future. The ability to manage and discern a massive amount of data will be of high value. Software related jobs will grow by 18.8% in 2024. But it is just the tip of the iceberg. With the rise of machines and technological advancement in the work field; it is evident that the rise of jobs relating to the servicing, repairing, programming, and other software and hardware related jobs will be on the rise. It has been estimated that about 5 million jobs will be lost to automation by 2020. Therefore, I am convinced that with the background of Computer Science. I will be doing a boring job like programming software for an application or a machine for different companies. But the most fun thing I could be doing 10 years from now would be developing games. Gaming is also one of the rising industry and programming games, for me, has a nice ring to it. To my dismay, being a game developer is harder than it sounds and as the gaming industry is still evolving; they are trying to make genres that are more appealing to the buyers which make the future it holds for game dev, ambiguous.

Being a programmer is hard, and you must be a quick learner to understand what has gotten into while studying Computer Science. This holds true even after you finish your studies, as the programming languages being used for applications and software are always being updated; and you never know when a better programming language pops up out of nowhere and you have to learn it from the scratch. This is one of the never-ending battles a programmer must face. To my dismay, it is very possible that many new programming languages will rise up and I will have to learn the languages from the very start just to keep my job. This is a very evident scenario and it is possible that computer scientists will have to learn new languages throughout their lives just to keep their job.

With some astounding space exploration companies coming to surface, it is evident that computer science has offered many avenues in the field of space exploration too. By applying robotics and software enterprise, computer engineers have been building robots, gadgets, and spaceships to help explore the space. In the near future, space exploration may turn out to be a norm and it is very possible that a surge of increase in demand for computer programmers will be created. Developing software and application for space programs could be a possible job for me after all.

No one can precisely foretell the future. 2025 A.D. could be the year that the world will end, you never know. As far as I know, my job, as a computer scientist can very sure be writing codes; a lot of codes for businesses, managing websites, programming and maintaining automation, accidentally building a killer defense system AI that will try to annihilate humans. I cannot predict what I will be doing then but I can surely tell that it will be very hard to get and keep a job by then. The competition has been rising and every passing day, it is getting harder and harder for people to get a job that they were hoping to get from their degree. The rise in computer-automated “workers” doesn’t help either, as it is helping considerably to increase the numbers of jobless bums. In the year 2025, maybe you won’t have to work, and the government will give you a steady amount of money; who knows? But, what If by 2025 there will be machines and robots built, that can repair and update themselves rendering the need of programmers and repairmen obsolete? With the rise in technological advancement, in the near future, this can hold true. Although it might take more than 20 years of technological advancement for that to happen, people might find themselves jobless because of the rise of automated machines in job culture. If these kinds of events unfold and I was to be jobless, I always imagined I would be a beet farmer.

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Essay on Computer and its Uses for School Students and Children

500+ words essay on computer.

In this essay on computer, we are going to discuss some useful things about computers. The modern-day computer has become an important part of our daily life. Also, their usage has increased much fold during the last decade. Nowadays, they use the computer in every office whether private or government. Mankind is using computers for over many decades now. Also, they are used in many fields like agriculture, designing, machinery making, defense and many more. Above all, they have revolutionized the whole world.

essay on computer

History of Computers

It is very difficult to find the exact origin of computers. But according to some experts computer exists at the time of world war-II. Also, at that time they were used for keeping data. But, it was for only government use and not for public use. Above all, in the beginning, the computer was a very large and heavy machine.

Working of a Computer 

The computer runs on a three-step cycle namely input, process, and output. Also, the computer follows this cycle in every process it was asked to do. In simple words, the process can be explained in this way. The data which we feed into the computer is input, the work CPU do is process and the result which the computer give is output.

Components and Types of Computer

The simple computer basically consists of CPU, monitor, mouse, and keyboard . Also, there are hundreds of other computer parts that can be attached to it. These other parts include a printer, laser pen, scanner , etc.

The computer is categorized into many different types like supercomputers, mainframes, personal computers (desktop), PDAs, laptop, etc. The mobile phone is also a type of computer because it fulfills all the criteria of being a computer.

Get the huge list of more than 500 Essay Topics and Ideas

Uses of Computer in Various Fields

As the usage of computer increased it became a necessity for almost every field to use computers for their operations. Also, they have made working and sorting things easier. Below we are mentioning some of the important fields that use a computer in their daily operation.

Medical Field

They use computers to diagnose diseases, run tests and for finding the cure for deadly diseases . Also, they are able to find a cure for many diseases because of computers.

Whether it’s scientific research, space research or any social research computers help in all of them. Also, due to them, we are able to keep a check on the environment , space, and society. Space research helped us to explore the galaxies. While scientific research has helped us to locate resources and various other useful resources from the earth.

For any country, his defence is most important for the safety and security of its people. Also, computer in this field helps the country’s security agencies to detect a threat which can be harmful in the future. Above all the defense industry use them to keep surveillance on our enemy.

Threats from a Computer

Computers have become a necessity also, they have become a threat too. This is due to hackers who steal your private data and leak them on internet. Also, anyone can access this data. Apart from that, there are other threats like viruses, spams, bug and many other problems.

essay for computer science application

The computer is a very important machine that has become a useful part of our life. Also, the computers have twin-faces on one side it’s a boon and on the other side, it’s a bane. Its uses completely depend upon you. Apart from that, a day in the future will come when human civilization won’t be able to survive without computers as we depend on them too much. Till now it is a great discovery of mankind that has helped in saving thousands and millions of lives.

Frequently Asked Questions on Computer

Q.1  What is a computer?

A.1 A computer is an electronic device or machine that makes our work easier. Also, they help us in many ways.

Q.2 Mention various fields where computers are used?

A.2  Computers are majorly used in defense, medicine, and for research purposes.

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Computer Science > Computer Vision and Pattern Recognition

Title: from nerfs to gaussian splats, and back.

Abstract: For robotics applications where there is a limited number of (typically ego-centric) views, parametric representations such as neural radiance fields (NeRFs) generalize better than non-parametric ones such as Gaussian splatting (GS) to views that are very different from those in the training data; GS however can render much faster than NeRFs. We develop a procedure to convert back and forth between the two. Our approach achieves the best of both NeRFs (superior PSNR, SSIM, and LPIPS on dissimilar views, and a compact representation) and GS (real-time rendering and ability for easily modifying the representation); the computational cost of these conversions is minor compared to training the two from scratch.

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Early iterations of the AI applications we interact with most today were built on traditional machine learning models. These models rely on learning algorithms that are developed and maintained by data scientists. In other words, traditional machine learning models need human intervention to process new information and perform any new task that falls outside their initial training.

For example, Apple made Siri a feature of its iOS in 2011. This early version of Siri was trained to understand a set of highly specific statements and requests. Human intervention was required to expand Siri’s knowledge base and functionality.

However, AI capabilities have been evolving steadily since the breakthrough development of  artificial neural networks  in 2012, which allow machines to engage in reinforcement learning and simulate how the human brain processes information.

Unlike basic machine learning models, deep learning models allow AI applications to learn how to perform new tasks that need human intelligence, engage in new behaviors and make decisions without human intervention. As a result, deep learning has enabled task automation, content generation, predictive maintenance and other capabilities across  industries .

Due to deep learning and other advancements, the field of AI remains in a constant and fast-paced state of flux. Our collective understanding of realized AI and theoretical AI continues to shift, meaning AI categories and AI terminology may differ (and overlap) from one source to the next. However, the types of AI can be largely understood by examining two encompassing categories: AI capabilities and AI functionalities.

1. Artificial Narrow AI

Artificial Narrow Intelligence, also known as Weak AI (what we refer to as Narrow AI), is the only type of AI that exists today. Any other form of AI is theoretical. It can be trained to perform a single or narrow task, often far faster and better than a human mind can.

However, it can’t perform outside of its defined task. Instead, it targets a single subset of cognitive abilities and advances in that spectrum. Siri, Amazon’s Alexa and IBM Watson are examples of Narrow AI. Even OpenAI’s ChatGPT is considered a form of Narrow AI because it’s limited to the single task of text-based chat.

2. General AI

Artificial General Intelligence (AGI), also known as  Strong AI , is today nothing more than a theoretical concept. AGI can use previous learnings and skills to accomplish new tasks in a different context without the need for human beings to train the underlying models. This ability allows AGI to learn and perform any intellectual task that a human being can.

3. Super AI

Super AI is commonly referred to as artificial superintelligence and, like AGI, is strictly theoretical. If ever realized, Super AI would think, reason, learn, make judgements and possess cognitive abilities that surpass those of human beings.

The applications possessing Super AI capabilities will have evolved beyond the point of understanding human sentiments and experiences to feel emotions, have needs and possess beliefs and desires of their own.

Underneath Narrow AI, one of the three types based on capabilities, there are two functional AI categories:

1. Reactive Machine AI

Reactive machines are AI systems with no memory and are designed to perform a very specific task. Since they can’t recollect previous outcomes or decisions, they only work with presently available data. Reactive AI stems from statistical math and can analyze vast amounts of data to produce a seemingly intelligent output.

Examples of Reactive Machine AI  

  • IBM Deep Blue: IBM’s chess-playing supercomputer AI beat chess grandmaster Garry Kasparov in the late 1990s by analyzing the pieces on the board and predicting the probable outcomes of each move.
  • The Netflix Recommendation Engine: Netflix’s viewing recommendations are powered by models that process data sets collected from viewing history to provide customers with content they’re most likely to enjoy.

2. Limited Memory AI

Unlike Reactive Machine AI, this form of AI can recall past events and outcomes and monitor specific objects or situations over time. Limited Memory AI can use past- and present-moment data to decide on a course of action most likely to help achieve a desired outcome.

However, while Limited Memory AI can use past data for a specific amount of time, it can’t retain that data in a library of past experiences to use over a long-term period. As it’s trained on more data over time, Limited Memory AI can improve in performance.

Examples of Limited Memory AI  

  • Generative AI: Generative AI tools such as ChatGPT, Bard and DeepAI rely on limited memory AI capabilities to predict the next word, phrase or visual element within the content it’s generating.
  • Virtual assistants and chatbots: Siri, Alexa, Google Assistant, Cortana and IBM Watson Assistant combine natural language processing (NLP) and Limited Memory AI to understand questions and requests, take appropriate actions and compose responses.
  • Self-driving cars: Autonomous vehicles use Limited Memory AI to understand the world around them in real-time and make informed decisions on when to apply speed, brake, make a turn, etc.

3. Theory of Mind AI

Theory of Mind AI is a functional class of AI that falls underneath the General AI. Though an unrealized form of AI today, AI with Theory of Mind functionality would understand the thoughts and emotions of other entities. This understanding can affect how the AI interacts with those around them. In theory, this would allow the AI to simulate human-like relationships.

Because Theory of Mind AI could infer human motives and reasoning, it would personalize its interactions with individuals based on their unique emotional needs and intentions. Theory of Mind AI would also be able to understand and contextualize artwork and essays, which today’s generative AI tools are unable to do.

Emotion AI is a theory of mind AI currently in development. AI researchers hope it will have the ability to analyze voices, images and other kinds of data to recognize, simulate, monitor and respond appropriately to humans on an emotional level. To date, Emotion AI is unable to understand and respond to human feelings.  

4. Self-Aware AI

Self-Aware AI is a kind of functional AI class for applications that would possess super AI capabilities. Like theory of mind AI, Self-Aware AI is strictly theoretical. If ever achieved, it would have the ability to understand its own internal conditions and traits along with human emotions and thoughts. It would also have its own set of emotions, needs and beliefs.

Emotion AI is a Theory of Mind AI currently in development. Researchers hope it will have the ability to analyze voices, images and other kinds of data to recognize, simulate, monitor and respond appropriately to humans on an emotional level. To date, Emotion AI is unable to understand and respond to human feelings.

Computer vision

Narrow AI applications with  computer vision  can be trained to interpret and analyze the visual world. This allows intelligent machines to identify and classify objects within images and video footage.

Applications of computer vision include:

  • Image recognition and classification
  • Object detection
  • Object tracking
  • Facial recognition
  • Content-based image retrieval

Computer vision is critical for use cases that involve AI machines interacting and traversing the physical world around them. Examples include self-driving cars and machines navigating warehouses and other environments.

Robots in industrial settings can use Narrow AI to perform routine, repetitive tasks that involve materials handling, assembly and quality inspections. In healthcare, robots equipped with Narrow AI can assist surgeons in monitoring vitals and detecting potential issues during procedures.

Agricultural machines can engage in autonomous pruning, moving, thinning, seeding and spraying. And smart home devices such as the iRobot Roomba can navigate a home’s interior using computer vision and use data stored in memory to understand its progress.

Expert systems

Expert systems equipped with Narrow AI capabilities can be trained on a corpus to emulate the human decision-making process and apply expertise to solve complex problems. These systems can evaluate vast amounts of data to uncover trends and patterns to make decisions. They can also help businesses predict future events and understand why past events occurred.

IBM has pioneered AI from the very beginning, contributing breakthrough after breakthrough to the field. IBM most recently released a big upgrade to its cloud-based, generative AI platform known as watsonx.  IBM watsonx.ai  brings together new generative AI capabilities, powered by foundation models and traditional machine learning into a powerful studio spanning the entire AI lifecycle. With watsonx.ai, data scientists can build, train and deploy machine learning models in a single collaborative studio environment.

Get email updates about AI advancements, strategies, how-tos, expert perspectives and more.

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Online Artificial Intelligence and Machine Learning Certificate

Gain a competitive edge with our graduate-level Artificial Intelligence and Machine Learning Certificate. This program equips both novices and seasoned professionals with the essential skills to harness the power of modern Artificial Intelligence and Machine Learning in their domain. Upon completion, participants will master statistical analysis and machine learning techniques, enabling them to dissect complex data sets. Armed with the ability to synthesize and evaluate AI models, graduates will confidently tackle real-world challenges, leveraging cutting-edge tools to derive actionable insights and drive innovation in their respective fields.

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Certificate Overview

The Artificial Intelligence and Machine Learning certificate is a 12-credit program that equips novices and seasoned professionals with the essential skills to harness the power of modern Artificial Intelligence and Machine Learning in their respective fields of operation.

Technical Qualifications

To be successful in this program, prospective students must demonstrate an understanding of core concepts in computer science or equivalent covered in the categories below:

  • Program Design and Concepts : programming proficiency through problem-solving with a high-level programming language, emphasizing computational thinking, data types, object-oriented design, dynamic memory management, and error handling for robust program development.
  • Data Structures : implementing essential abstract data types and algorithms covering stacks, queues, sorting, searching, graphs, and hashing; examining performance trade-offs, analyzing runtime and memory usage.
  • Algorithms : computer algorithms for numeric and non-numeric problems; design paradigms; analysis of time and space requirements of algorithms; correctness of algorithms.
  • Discrete Structures for Computing : foundations from discrete mathematics for algorithm analysis, focusing on correctness and performance; introducing models like finite state machines and Turing machines.
  • Mathematical Foundations : Calculus, Probability, and Linear Algebra.

Students must take four out of five possible courses to complete this certificate. See course information below.

Information

To qualify for this certificate, you must complete 12 semester credit hours (SCH) of coursework from the following list of courses. All courses must be completed with a grade of C or above. Each course is linked to its course description within the catalog.

Courses (12 credits):

Select four of the following:*

  • CSCE 625 - Artificial Intelligence
  • CSCE 633 - Machine Learning
  • CSCE 635 - AI Robotics
  • CSCE 636 - Deep Learning
  • CSCE 642 - Deep Reinforcement Learning

* Additional courses are available with the consultation of an academic advisor.

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essay for computer science application

Berks' Best 2024 had 239 applicants for 11 awards

M ay 17—High schools across Berks County submitted 403 nominations for the 2024 Berks' Best Awards. The schools were invited to nominate up to two seniors in each of 11 categories.

There were 239 applications submitted by the students, who had to complete an online form with essay questions and have someone not related to them submit a letter of recommendation.

A panel of 30 judges divided by their expertise in each of the categories evaluated the applications and letters and gave each applicant a score. The applications receiving the three highest scores in each category were selected as finalists. There were 36 finalists named due to scoring ties.

The categories were Business, Career and Technical Education, Communications, Computer Science, Mathematics, Performing Arts, Science/Environment, Social Studies, Taylor Seitzinger Award for Community Service and Leadership, Visual Arts and World Languages.

Each category winner will receive a $500 check from the Berks County Community Foundation and will be honored at the BCCF's 2024 Scholarship Luncheon on Tuesday, May 21 at the DoubleTree by Hilton hotel in Reading.

A special section will appear in the Sunday, May 19, print edition of the Reading Eagle.

Here are the 2024 finalists.

Meet the winners and read about their plans for the future:

—Business: Brandon Serianni

—Career and Technical Education: Barbara Acevedo

—Communications: Ava Straus

—Computer Science: Vanesa Aguay

—Mathematics: Eric Yazemboski

—Performing Arts: Austin Snavely

—Science/Environment: Ana Pichardo

—Social Studies: Kayla Laucks

—Taylor Seitzinger Award for Community Service and Leadership: Vanesa Aguay

—Visual Arts: Mia Davis

—World Languages: Meghan Cramer

(c)2024 the Reading Eagle (Reading, Pa.) Distributed by Tribune Content Agency, LLC.

Admissions 2024-25: Application Portal for M.Sc.[Computer Science] at Puducherry Campus and M.Tech. (NIS) based on CUET(PG)-2024 is enabled

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essay for computer science application

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ScienceDaily

Century of statistical ecology reviewed

Crunching numbers isn't exactly how Neil Gilbert, a postdoctoral researcher at Michigan State University, envisioned a career in ecology.

"I think it's a little funny that I'm doing this statistical ecology work because I was always OK at math, but never particularly enjoyed it," he explained. "As an undergrad, I thought, I'll be an ecologist -- that means that I can be outside, looking at birds, that sort of thing."

As it turns out," he chuckled, "ecology is a very quantitative discipline."

Now, working in the Zipkin Quantitative Ecology lab, Gilbert is the lead author on a new article in a special collection of the journal Ecology that reviews the past century of statistical ecology .

Statistical ecology, or the study of ecological systems using mathematical equations, probability and empirical data, has grown over the last century. As increasingly large datasets and complex questions took center stage in ecological research, new tools and approaches were needed to properly address them.

To better understand how statistical ecology changed over the last century, Gilbert and his fellow authors examined a selection of 36 highly cited papers on statistical ecology -- all published in Ecology since its inception in 1920.

The team's paper examines work on statistical models across a range of ecological scales from individuals to populations, communities, ecosystems and beyond. The team also reviewed publications providing practical guidance on applying models. Gilbert noted that because, "many practicing ecologists lack extensive quantitative training," such publications are key to shaping studies.

Ecology is an advantageous place for such papers, because it is one of, "the first internationally important journals in the field. It has played an outsized role in publishing important work," said lab leader Elise Zipkin, a Red Cedar Distinguished Associate Professor in the Department of Integrative Biology.

"It has a reputation of publishing some of the most influential papers on the development and application of analytical techniques from the very beginning of modern ecological research."

The team found a persistent evolution of models and concepts in the field, especially over the past few decades, driven by refinements in techniques and exponential increases in computational power.

"Statistical ecology has exploded in the last 20 to 30 years because of advances in both data availability and the continued improvement of high-performance computing clusters," Gilbert explained.

Included among the 36 reviewed papers were a landmark 1945 study by Lee R. Dice on predicting the co-occurrence of species in space -- Ecology's most highly cited paper of all time -- and an influential 2002 paper led by Darryl MacKenzie on occupancy models. Ecologists use these models to identify the range and distribution of species in an environment.

Mackenzie's work on species detection and sampling, "played an outsized role in the study of species distributions," says Zipkin. MacKenzie's paper, which was cited more than 5,400 times, spawned various software packages that are now widely used by ecologists, she explained.

  • Environmental Issues
  • Computer Modeling
  • Mathematical Modeling
  • Origin of Life
  • Early Climate
  • Artificial intelligence
  • Computational genomics
  • Albert Einstein
  • Bioinformatics
  • Mathematical model
  • Water turbine
  • Numerical weather prediction

Story Source:

Materials provided by Michigan State University . Original written by Caleb Hess. Note: Content may be edited for style and length.

Journal Reference :

  • Neil A. Gilbert, Bruna R. Amaral, Olivia M. Smith, Peter J. Williams, Sydney Ceyzyk, Samuel Ayebare, Kayla L. Davis, Wendy Leuenberger, Jeffrey W. Doser, Elise F. Zipkin. A century of statistical Ecology . Ecology , 2024; DOI: 10.1002/ecy.4283

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