computer science problem solving worksheet

Each Unplugged activity is available to download in PDF format, with full instructions and worksheets. Background sections explain the significance of each activity to computer science, and answers are provided for all problems. All you need for most of these activities are curiosity and enthusiasm. There are photos and videos showing some of the activities in action, and we’ve collected links to other useful resources.

The activities are primarily aimed at the five to twelve year-old age group, but they are by no means restricted to this age range: we’ve used them to teach older children and adults too, with little modification.

Data: Representing Information #

• Binary Numbers
• Image Representation
• Text Compression
• Error Detection
• Information Theory
• Modems Unplugged

Algorithms: Putting Computers to Work #

• Searching Algorithms
• Sorting Algorithms
• Sorting Networks
• Minimal Spanning Trees
• Routing and Deadlock
• Network Protocols
• Phylogenetics
• Divide and Conquer (Santa’s Dirty Socks)
• Line Drawing

Procedures: Telling Computers What to Do #

• Finite State Automata
• Programming Languages
• Programming Languages - Harold the Robot
• Class Simulation of a Computer

Intractability: Really Hard Problems #

• Graph Colouring
• Dominating Sets
• Steiner Trees

Cryptography: Sharing Secrets #

• Information Hiding
• Cryptographic Protocols
• Public Key Encryption

The Human Face of Computing: Interacting with Computers #

• Human Interface Design
• The Turing Test
• Artificial Intelligence

Community Activities #

• The Defrag Game
• Harold the Robot
• Scout Patrol (Encryption)

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2.2 Computer Science Fundamentals

Wrap your mind around computational thinking, from everyday tasks to algorithms.

Making Decisions

Computers use decision trees to turn many simple decisions into one big decision.

Searching for Solutions

Sometimes, the right way to solve a computational problem is by “brute force.”

• Parallelism

When Pierre the baker wants to get lots of things done, it helps to do many things at once.

End of Unit 1

Complete all lessons above to reach this milestone.

0 of 3 lessons complete

Resource Tradeoffs

Computer scientists deal with tradeoffs all the time. So does Farhad when he does his chores.

Order and Search

Information needs to be organized for use by humans or computers, as Tiye the librarian knows well.

Computer systems and people need to be able to reliably find and access people and resources.

Abstraction

Mayor Jing uses abstraction—a critical tool in computer science—to help her run City Hall.

Abstractions have interfaces that explain what they can and cannot do.

End of Unit 2

0 of 5 lessons complete

Algorithms and Implementations

Algorithms are step-by-step processes for achieving an outcome. They can be very specific or quite general.

Divide and Conquer

Problems often get easier when you split them in half, as the 20 Questions guessing game shows.

• Binary Search

Binary search is a more algorithm-friendly version of the 20 Questions game.

Thinking with Graphs

Graphs are a powerful tool for understanding problems and solving them in clever ways.

Representing Games and Puzzles

Graphs can help us plan solutions to complex problems, like this classic river-crossing puzzle.

Graph Search

Some of the most fundamental algorithms on graphs are designed to get you from point A to point B.

End of Unit 3

0 of 6 lessons complete

Course description

Learn the key ideas of computer science with this interactive course – no coding required! This course is ideal for a high school or college student who wants to learn the fundamentals, or an early professional who wants to strengthen their knowledge of core computer science concepts. Whether you're exploring computer science for the first time or looking to deepen your understanding, this course will allow you to develop the problem-solving techniques you need to think like a computer scientist. Follow librarians, cooks, and mayors to see how computer science problem solving techniques affect their daily lives. Get hands-on with a few specific algorithms, and learn the general principles demonstrated by these algorithms.

Topics covered

• Brute-Force Search
• Concurrency
• Decision Trees
• Graph Abstractions
• Greedy Algorithms
• Programming

Prerequisites and next steps

You don’t need any previous computer science experience to take this course! This course is for anyone excited to actively learn more about how computer scientists think and understand our world.

3.1 Next Steps in Python

Boost your proficiency in Python by learning how to access social media data with public functions.

Teach Computer Science

Problem Solving and Algorithm Design GCSE Resources

Gcse computer science: problem solving and algorithm design.

Do you want to save hours of lesson preparation time? Get your evenings and weekends back and focus your time where it's needed! Be fully prepared with presentations, notes, activities, and more.

All Computer Science topics are covered, and each module comes complete with:

• Classroom Presentations
• Revision Notes
• Activities & Quizzes
• Mind Maps, Flashcards & Glossaries

Download free samples

Frequently Asked Questions

What is problem solving in the context of computer science.

Problem solving in computer science refers to the process of identifying, understanding, and resolving issues or challenges related to programming or computational systems. It involves critical thinking, logical reasoning, and the application of various techniques, such as abstraction and decomposition, to create effective solutions that can be executed by computers.

What is abstraction and why is it important?

Abstraction is the process of simplifying complex problems by focusing on the most critical aspects while ignoring irrelevant details. It is important because it helps programmers conceptualize and understand problems more easily, enabling them to create efficient and effective solutions. Abstraction also allows for the creation of reusable and modular components in software, enhancing maintainability and scalability.

What is decomposition and how does it help in problem solving?

Decomposition is a technique that involves breaking down a large, complex problem into smaller, more manageable components. It helps in problem solving by making complex problems easier to understand and tackle. Additionally, decomposition promotes collaboration and teamwork, as individual components can be assigned to different team members, allowing them to work on different aspects of the problem simultaneously.

What is algorithm design and what are some common algorithmic techniques?

Algorithm design is the process of creating step-by-step procedures to solve specific problems. Some common algorithmic techniques include sequential, conditional, and iterative constructs. Sequential constructs involve executing a series of steps in a specific order, while conditional constructs involve making decisions based on certain conditions. Iterative constructs involve executing a set of instructions repeatedly until a specific condition is met.

What is Big O notation and why is it important for analyzing algorithms?

Big O notation is a mathematical notation used to describe the performance of algorithms in terms of their time complexity or the number of operations they require as a function of the input size. It is important for analyzing algorithms because it helps programmers understand how an algorithm's performance scales with the size of the input, allowing them to choose the most efficient and optimized solution for a given problem.

Introduction to Scientific Computing and Problem Solving

Welcome to CS4, Introduction to Scientific Computing and Problem Solving . CS4 provides an introduction to using computers to solve STEM (Science, Technology, Engineering, and Mathematics) data analysis, visualization, simulation, and numerical analysis problems. The course begins with an introduction to the basics of programming, accompanied by several applications of fundamental coding elements and concepts. As we do this we will explore some of the breadth of Computer Science as a discipline. The first part of the course (which runs until Spring Break) will be taught in Python. Following this, we will explore more specialized topics related to scientific computing and mathematics that will allow students to access and analyze a number of "real world" problems. The later portion of the course will be taught in MATLAB.

Requirements: No prior programming experience is required to take this course (Python and MATLAB are easy and fun to use!). A calculus course (perhaps in high school) is highly recommended.

If you have any feedback about assignments or the course in general, please fill out the Anonymous Feedback Form to let the course staff know. If you have any academic/SEAS accommodations that we should be aware of, please fill out this form so that the course staff can best support you. We understand that being a student can be stressful and that certain circumstances can affect your performance in the course. Please refer to the syllabus for more information about receiving academic support for CS0040 or email the HTAs or Prof. Gaudette for more information regarding accommodations. You can also find some resources the CS department has compiled for students here and a helpful message from your TAs here

COURSE DOCUMENTS

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Jason Gaudette (jegaudet)

Team: Puppies

Welcome to CS4! I am happy to be your instructor this semester. As a research engineer with loads of real-world experience in scientific computing, my goal is to teach you the art and joy of the field. Outside of my main job, I coach kids in FIRST LEGO robotics, volunteer for the IEEE, teach programming and electronics courses, sail a Hobie Cat, and run with my dog Luna."

E-mail us at [email protected] if you have administrative or private questions.

Griffin Kao (gk16)

Team: Babies

Hi there, I’m a junior from Philadelphia studying computer science and engineering. A fun fact about me is that Kobe Bryant went to my high school!

Hersh Gupta (hgupta1)

Hey everybody! My name is Hersh and I’m a junior concentrating in chemistry and computational biology. I’m a big sports fan and love going on Netflix binges but never actually finishing the show.

Joy Bestourous (jbestour)

Hi hello! I'm a junior studying computer science while filling pre-med requirements (and maybe pre-law! Who knows!). I like New York pizza, iced coffee, going to the gym, dancing, and singing Disney songs. Loudly.

E-mail us at [email protected] or post a question (privately!) on Piazza if you have any questions about the course.

Annie He (ahe6)

Hey y’all! I’m a junior from Dallas, TX concentrating in computational biology. If you don’t see me in the scili, I’m either chilling in my pjs or exploring new restaurants! I also love to rock climb, ski, bungee jump, basically anything adventurous! :)

Alex Liu (aliu31)

I am a junior concentrating in Applied Mathematics and Computer Science. I’m from Eugene, Oregon and outside of class I am involved with the Socially Responsible Investment Fund, I play golf whenever I get the chance, and I try my best to keep up on practicing the Piano. I also run Brown Data Science, a club that, much like this class, brings educational opportunities related to Data Science to undergraduates of all academic backgrounds.

Aryan Srivastava (asriva11)

I am a freshman concentrating in CS (probably). I love watching and playing basketball (1v1 me), reading and talking philosophy, and watching artisan videos on youtube! My favorite thing to eat at Brown is a warm Blue Room Chocolate Chip Muffin.

Ellen Ling (eling)

Hi, I’m a junior from Shanghai studying physics and CS. I like good movies and dance and babies!

Irene Rhee (irhee)

Sup dudes, my name is Irene and I’m a junior from Corvallis, OR studying computer science! I like to drink my coffee black, am part of a dance group called Daebak (come to our spring show!!), and enjoy dim sum, boba, and tagging people in memes (go like my post on subtle asian traits). My favorite word is lit.

Joseph Chen (jchen88)

Hey everyone! I’m a junior from California concentrating in Neuroscience and CS, and I’m a big fan of all things related to swimming, playing basketball, Game of Thrones, and stand-up comedy.

Jarrett Huddleston (jhuddle1)

Hey! I’m a sophomore from Eastern Massachusetts concentrating in computer science. Outside of classes I enjoy camping and music, and I’m always looking for a good book!

Milla Shin (mshin7)

I’m a junior from Tokyo studying computer science. I like going to the beach. I like food and cooking! I like snowboarding and scuba diving! I love sweet potatoes, avocado, and matcha! Yummy. I like puppies but I like babies too.

Pedro de Freitas (pfreitas)

Senior from Portland, Maine studying cognitive neuroscience. I’m a lyra performer/instructor who also enjoys painting.

Solomon Rueschemeyer-Bailey (sruesche)

I am a junior trying not to let school get in the way of college. Come to my hours or my section if you want to learn about: The Bucket Theorem, whether or not true Love exists, and the future of teleportation.

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Lesson 1 Computational thinking

Curriculum > KS4 > Unit > Lesson

In this lesson, learners are introduced to three computational thinking techniques: decomposition, abstraction, and algorithmic thinking. Learners will explore how these skills can be applied when solving a wide range of problems, both computer-based and throughout their everyday lives. They will be using these techniques throughout this unit when analysing and solving problems, especially around searching and sorting data. Learners will be provided a new problem that they have to help solve by applying decomposition, abstraction, and algorithmic thinking. There will be an opportunity for learners to peer/self assess their work and participate in discussions around computational thinking.

Learning objectives

• Define the terms decomposition, abstraction and algorithmic thinking
• Recognise scenarios where each of these computational thinking techniques are applied
• Apply decomposition, abstraction and algorithmic thinking to help solve a problem

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KS3 Algorithms

Algorithms underpin much of computer science, helping to solve problems, to describe processes, to map out the steps necessary to achieve a goal, and the extent to which a problem is actually solvable.

These resources support students to recognise the fundamental building blocks of algorithms: sequencing, selection and iteration, and understand how use abstraction, decomposition and other computational thinking techniques. They will learn to create flowcharts and to break problems down into relevant steps in the correct order; skills that can be transferred to almost any field. They give students the opportunity to work on problems which have real world applications including common sorting and searching algorithms. 

Teaching problem solving the unplugged way

Quality Assured Category: Computing Publisher: Computing At School

This resource contains a variety of activities and teacher resources to help students develop their problem solving skills, these are mostly through the use of unplugged activities which also encourage the development of skills associated with creating algorithms. The resources consist of teacher guides for each of the five resources, and an associated resource for use in the classroom.

The activities include:

• Stompy zombie robots, a Logo like activity
• Binary bingo, students apply the algorithm to convert denary numbers to binary
• Getting the message across, which describes routing algorithms and networks, using flowcharts to describe dances
• Binary bead bracelets, which uses binary to encode messages in chains of two colour beads

An introduction to computer science: algorithms in everyday life

Quality Assured Category: Computing Publisher:

This resource consists of a ten page student workbook and some associated resources. The workbook is designed to be used with Key Stage 3 students over a number of lessons, to introduce them to the concept of algorithms, to get them used to following instructions given as an algorithm and to start producing their own in order to achieve a goal or solve a problem. Although the workbook is in the form of a PDF the contents could easily be adapted by a teacher in order to meet slightly different requirements. This also features a couple of presentations which could be used as starter activities for various lessons.

Writing a Flowchart

Quality Assured Category: Computing Publisher: Institution of Engineering and Technology (IET)

This lesson plan and supporting resources from the IET detail a lesson on how to turn a problem into a flowchart. Although initially aimed at design technology teachers this resource is suitable for computing lessons too. The description of levels is outdated and may need updating for whichever system is in place in a school. Some more complex examples might also be beneficial for more advanced students. 

Algorithms student booklet

This booklet contains a number of very briefly described algorithms, which students are then expected to analyse, develop an algorithm for and then implement in a language of their choice. Each section contains success descriptors at three different levels which could be adapted to meet the requirements of an individual school's needs. As the description of each problem is so brief it may be necessary for users of this resource to research the tasks more thoroughly in order to understand the requirements properly, or depending on the level of the students attempting this activity, this could be set as part of the problem. 

Beat the Clock - Sorting Networks

Quality Assured Category: Computing Publisher: Computer Science Unplugged

This resource from CS Unplugged demonstrates how algorithms which perform steps in parallel can be used to speed up the time it takes to solve a task. The task itself requires space for students to move about, and the ability for networks to be drawn out on the floor, the suggestion is that this could be accomplished with chalk on a school yard, but other solutions may be possible. A discussion about relative complexities of different algorithms might be useful, along with comparisons between this algorithm and a non-parallel version. Demonstrating the task on a worksheet and whiteboard may be an alternative possibility. Videos of similar activities can also be found online, to help with explain how to run the task

The Orange Game - Routing and Deadlock in Networks

This resource from CS Unplugged contains an activity which demonstrates how routing and deadlocks occur and can be handled in a network. This cooperative activity should result in students realising that if they hold on to their own orange then others will not be able to achieve the goal of solving the problem. Once they have completed the task and discussed the points raised in the activity, getting them to draw flowcharts/explain the algorithm that enables the task to be solved would also be beneficial

The Muddy City - Minimal Spanning Trees

This CS Unplugged activity is a simple representation of a class of Computer Science problems which require the programmer/user to find a minimal spanning tree for a network or graph. A minimal spanning tree creates a network such that there exists a path to travel from any node to any other node in the network. The problem is shown in the context of a village with no roads just muddy tracks, the mayor wants to pave just enough of the town that a paved path will exist from any building to any other, but spend the least amount of money doing it. Students are asked to attempt various strategies in order to solve the problem. The resource finishes with a discussion of various strategies which can be used to solve this problem. Getting students to describe their own strategies is also very beneficial. 

Ice Roads - Steiner Trees

This problem on the face of it looks very similar to the Muddy City problem , for finding Minimal Spanning Trees. The problem is to also find the minimum length of network which will link all of the nodes together, but with the added proviso that we can introduce extra nodes where they would make the overall lengths of the paths shorter (creating a more efficient solution). The activity gives very detailed instructions for activities for students to try. It finishes with a detailed discussion of this type of problem (NP-complete) and explains why there may be no algorithm to find a guaranteed shortest path. (It also explains about one of the great unsolved problems in computer science: whether P=NP and what it means) 

Sorting algorithm software (bubble, insertion and quick sorts)

This resource includes two lessons on sorting algorithms along with a piece of software to allow students to investigate how these algorithms function. The software itself is a simple game where students perform a given sorting algorithm on a set of data, and lose lives if they perform an incorrect step. The lesson plans, detail using this in conjunction with various other ideas for introducing students to the ideas behind how these sorting algorithms work.

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Computer Science - Class 11

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Do you want to learn more about the fascinating and diverse field of computer science? Do you want to develop your skills and knowledge in programming, data structures, algorithms, databases, networking, etc.? Do you want to prepare yourself for higher studies and careers in computer science and related fields?

If you answered yes to any of these questions, then you will benefit from studying computer science class 11. Computer science class 11 is a comprehensive and rigorous course that covers the core concepts and principles of computer science. Computer science class 11 will help you understand how computers work and how they can be used to solve various problems.

Some of the topics you will cover in computer science class 11 are:

• The introduction to computer science: How computer science is defined, divided, and related to other disciplines. 📚🔎👥
• The basics of Python: How Python is a simple and powerful programming language that can be used for various purposes. 🐍👍
• The data types and operators: How data types and operators are used to store and manipulate data in Python. 📊📈📉
• The control structures: How control structures such as if, else, elif, for, while, etc. are used to control the flow of execution in Python. 💻🖱️👍
• The functions: How functions are used to modularize and reuse code in Python. 💬🔎👏
• The lists, tuples, and dictionaries: How lists, tuples, and dictionaries are used to store and access data in Python. 💥😥🚱💧
• The strings: How strings are used to store and manipulate text data in Python. 📄💵🔙
• The file handling: How file handling is used to store and manage data in files using Python. 📒👀
• The object-oriented programming: How object-oriented programming is used to create and use objects, classes, methods, inheritance, etc. in Python. 🐶🐱🐭
• The database concepts: How database concepts such as tables, records, fields, keys, etc. are used to store and manipulate data in databases. 🗄️🗃️
• The structured query language: How structured query language (SQL) is used to communicate with databases and perform various operations on data. 🗣️👂

By studying computer science class 11, you will gain a deeper understanding of how  computer science is the study of computation and its applications . You will also develop critical thinking skills to solve various problems and cases using computer science. You will also appreciate  the importance of Python as a versatile and powerful language  for various domains and purposes.

Chapter 2 Class 11 - Encoding Schemes and Number System

Chapter 12 class 11 - boolean algebra, chapter 4 class 11 - introduction to problem solving, chapter 5 class 11 - getting started with python, chapter 1 class 11 - computer systems, chapter 6 class 11 - flow of control, chapter 7 class 11 - functions, chapter 8 class 11 - strings, chapter 9 class 11 - lists, teachoo sample paper, chapter 10 class 11 - tuples and dictionaries, chapter 11 class 11 - societal impact, chapter 13 class 11 - cyber safety.

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CSC 015 - (CS) Fundamentals of Computer Science I: Problem Solving and Program Design

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CBSE Worksheets for Class 11 Computer Science

CBSE Worksheets for Class 11 Computer Science: One of the best teaching strategies employed in most classrooms today is Worksheets. CBSE Class 11 Computer Science Worksheet for students has been used by teachers & students to develop logical, lingual, analytical, and problem-solving capabilities. So in order to help you with that, we at CoolGyan have come up with Kendriya Vidyalaya Class 11 Computer Science Worksheets for the students of Class 11. All our CBSE NCERT Class 11 Computer Science practice worksheets are designed for helping students to understand various topics, practice skills and improve their subject knowledge which in turn helps students to improve their academic performance. These chapter wise test papers for Class 11 Computer Science will be useful to test your conceptual understanding. Board: Central Board of Secondary Education(www.cbse.nic.in) Subject: Class 11 Computer Science Number of Worksheets: 20

CBSE Class 11 Computer Science Worksheets PDF

All the CBSE Worksheets for Class 11 Computer Science provided in this page are provided for free which can be downloaded by students, teachers as well as by parents. We have covered all the Class 11 Computer Science important questions and answers in the worksheets which are included in CBSE NCERT Syllabus. Just click on the following link and download the CBSE Class 11 Computer Science Worksheet. CBSE Worksheets for Class 11 Computers can also use like assignments for Class 11 Computer Science students.

• CBSE Worksheets for Class 11 Computer Science C++ Assignment
• CBSE Worksheets for Class 11 Computer Science Computer Overview Assignment
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• CBSE Worksheets for Class 11 Computer Science Getting Started with C++ Assignment
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• CBSE Worksheets for Class 11 Computer Science Operators and Expressions in C++ Assignment
• CBSE Worksheets for Class 11 Computer Science Pointers Assignment
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• CBSE Worksheets for Class 11 Computer Science SERIES.CPP Assignment
• CBSE Worksheets for Class 11 Computer Science Assignment 1
• CBSE Worksheets for Class 11 Computer Science Assignment 2
• CBSE Worksheets for Class 11 Computer Science Assignment 3
• CBSE Worksheets for Class 11 Computer Science Assignment 4
• CBSE Worksheets for Class 11 Computer Science Assignment 5
• CBSE Worksheets for Class 11 Computer Science Assignment 6
• CBSE Worksheets for Class 11 Computer Science Assignment 7
• CBSE Worksheets for Class 11 Computer Science Assignment 8
• CBSE Worksheets for Class 11 Computer Science Assignment 9

Advantages of CBSE Class 11 Computer Science Worksheets

• By practising NCERT CBSE Class 11 Computer Science Worksheet , students can improve their problem solving skills.
• Helps to develop the subject knowledge in a simple, fun and interactive way.
• No need for tuition or attend extra classes if students practise on worksheets daily.
• Working on CBSE worksheets are time-saving.
• Helps students to promote hands-on learning.
• One of the helpful resources used in classroom revision.
• CBSE Class 11 Computer Science Workbook Helps to improve subject-knowledge.
• CBSE Class 11 Computers Worksheets encourages classroom activities.

Worksheets of CBSE Class 11 Computer Science are devised by experts of CoolGyan experts who have great experience and expertise in teaching Maths. So practising these worksheets will promote students problem-solving skills and subject knowledge in an interactive method. Students can also download CBSE Class 11 Computer Science Chapter wise question bank pdf and access it anytime, anywhere for free. Browse further to download free CBSE Class 11 Computer Science Worksheets PDF . Now that you are provided all the necessary information regarding CBSE Class 11 Computer Science Worksheet and we hope this detailed article is helpful. So Students who are preparing for the exams must need to have great solving skills. And in order to have these skills, one must practice enough of Class 11 Computers revision worksheets . And more importantly, students should need to follow through the worksheets after completing their syllabus. Working on CBSE Class 11 Computer Science Worksheets will be a great help to secure good marks in the examination. So start working on Class 11 Computers Worksheets to secure good score.

CBSE Worksheets For Class 11