problem solving and programing

• Trending Now
• Foundational Courses
• Data Science
• Practice Problem
• Machine Learning
• System Design
• DevOps Tutorial

Basic Programming Problems

Learn Programming – How To Code

In the world of programming , mastering the fundamentals is key to becoming a proficient developer. In this article, we will explore a variety of basic programming problems that are essential for every aspiring coder to understand. By delving into these foundational challenges, you will gain valuable insights into problem-solving techniques and build a strong foundation for your programming journey. Whether you're a novice programmer or looking to refresh your skills, this guide will provide you with a solid introduction to essential programming problems

Why to Start with Basics Programming Problems?

Starting with basics is important because it helps you build a strong foundation. When you understand the basics well, it becomes easier to learn more advanced things later on. It's like building a solid base for a tall building – if the base is strong, the building will be strong too. Mastering the basics also helps you become better at solving problems, which is really important in programming and other technical areas.

Benefits of Starting with Basic Programming Problems:

Foundation Building: Establishes a strong foundation in coding by introducing fundamental concepts.

• Improve Problem-Solving: Enhances problem-solving skills, preparing for more complex challenges.
• Language Proficiency: Fosters proficiency in a programming language, facilitating expression of thoughts and implementation of solutions.
• Debugging Skills: Provides practice in debugging techniques and understanding common errors.
• Algorithmic Thinking: Encourages efficient and optimized thinking, laying the groundwork for advanced problem-solving.
• Confidence Building: Boosts confidence in coding and problem-solving abilities through successful progression.
• Get Ready for Interviews: Prepares for coding job interviews by mastering fundamental concepts commonly assessed.

When solving basic programming problems, it’s crucial to have a platform where you can consistently practice and improve your skills. The GeeksforGeeks Practice Platform is an excellent resource for honing these foundational skills.

Basic Programming Problems:

Related Article:

• What is Programming? A Handbook for Beginners
• What is a Code in Programming?
• What Is Coding and What Is It Used For?
• How to Learn Programming?

Similar Reads

• Basic Programming Problems Learn Programming – How To Code In the world of programming, mastering the fundamentals is key to becoming a proficient developer. In this article, we will explore a variety of basic programming problems that are essential for every aspiring coder to understand. By delving into these foundational ch 4 min read
• Learn Programming For Free Programming, also known as coding, is the process of creating a set of instructions that tell a computer how to perform a specific task. These instructions, called programs, are written in a language that the computer can understand and execute. Welcome to our journey into the world of programming! 6 min read
• Basics of Computer Programming For Beginners Be it any programming language in which you want to grow your career, it's very important to learn the fundamentals first. Before having a good command over the basic concepts of programming, you cannot imagine the growth in that particular career. Hence, this article will talk about all the basic c 8 min read
• Getting Started with Geometry Problems in Programming Geometry is a key aspect of programming, helping us create shapes, graphics, and solve spatial problems. From points and lines to circles, triangles, rectangles, squares, and polygons, learning how to code for geometry can unlock a world of creative possibilities in software development. This articl 2 min read
• Programming Tutorial | Introduction, Basic Concepts, Getting started, Problems This comprehensive guide of Programming Tutorialor Coding Tutorial provides an introduction to programming, covering basic concepts, setting up your development environment, and common beginner problems. Learn about variables, data types, control flow statements, functions, and how to write your fir 15+ min read
• Types of Issues and Errors in Programming/Coding "Where there is code, there will be errors" If you have ever been into programming/coding, you must have definitely come across some errors. It is very important for every programmer to be aware of such errors that occur while coding. Table of Content 1. Syntax errors: 2. Logical errors:3. Runtime e 13 min read
• Top 10 Programming Tips For Beginners Whether you are a novice or have just started to learn programming, there are key tips that can significantly enhance your learning experience. In this blog post, we'll explore the top 10 programming tips for beginners that can help you build a strong foundation and navigate the complexities of codi 8 min read
• What is a Syntax Error and How to Solve it? Syntax error is an error in the syntax of a sequence of characters that is intended to be written in a particular programming language. It’s like a grammatical error in a programming language. These errors occur when the code does not conform to the rules and grammar of the language. Syntax errors a 7 min read
• Types of Errors in Java with Examples Error is an illegal operation performed by the user which results in the abnormal working of the program. Programming errors often remain undetected until the program is compiled or executed. Some of the errors inhibit the program from getting compiled or executed. Thus errors should be removed befo 7 min read
• Basic Coding Problems in DSA for Beginners For any beginner looking to strengthen their skills in Data structures and algorithms (DSA), we have brought to you a collection of basic coding problems. These carefully selected problems will provide a solid foundation in fundamental concepts, helping beginners enhance their logical thinking and p 2 min read
• Algebra - Aptitude Questions and Answers Algebra is the basis for calculus, geometry, trigonometry, and statistics. This would require practicing as many questions as possible. These algebra Questions should cover a range of topics, including linear equations, quadratic equations, polynomials, etc Prerequisites: Algebra in Math Aptitude Qu 12 min read
• Oracle Interview Experience | Applications Engineer Round 1: 1) Tell me about yourself 2) Problem Statement: Reverse the words in below string considering all negative test cases Input: Hello World Output: olleH dlroW If the input have more than 1 space as separator then output should contain as much space as inputIf the statement have start and trai 3 min read
• Zoho Interview Experience (Off-Campus) 2+ Year Experienced I am a Software Engineer with 2+ yr of experience. I had an off-campus round of Zoho. I got rejected in the third round of object-oriented design. Level 1: The level consists of 10 programming questions and 10 aptitude questions. 1. What is the output? C/C++ Code void func(int *b) { *b = 1; } int ma 8 min read
• Class 8 NCERT Solutions - Chapter 2 Linear Equations in One Variable - Exercise 2.2 Question 1. If you subtract 1/2 from a number and multiply the result by 1/2, you get 1/8 what is the number? Solution: Let the number be 'a'. According to the question, (a – 1/2) × 1/2 = 1/8 a/2 – 1/4 = 1/8 a/2 = 1/8 + 1/4 a/2 = 1/8 + 2/8 a/2 = (1 + 2)/8 a/2 = 3/8 a = (3/8) × 2 So, a = 3/4 Question 9 min read
• Evaluate 2st^2 - 5^2 for s = 4 and t = 8 If s= 4 and t = 8 then, the value of 2st2 - 52 is 487. The solution for the same is added below: Evaluate 2st2 - 52 for s = 4 and t = 8Solution: Given, = 2st2 - 52...(i) s = 4t = 8Now put the value of s and t in eq. (i) = 2(4)(8)2 - 52 = 8(64) - 25 = 512 - 25 = 487 Similar QuestionsQuestion 1: Solve 2 min read
• Algebra Practice Questions Easy Level Algebra questions basically involve modeling word problems into equations and then solving them. Some of the very basic formulae that come in handy while solving algebra questions are : (a + b) 2 = a 2 + b 2 + 2 a b(a - b) 2 = a 2 + b 2 - 2 a b(a + b) 2 - (a - b) 2 = 4 a b(a + b) 2 + (a - b) 2 = 2 ( 3 min read
• ZOHO Interview Experience (On-Campus) Round-1: Aptitude and C - Code SnippetsIt contains 2 sections, 10 Aptitude questions, and 10 C- code SnippetsIt is a paper-based test you will be provided with question paper, a Rough sheet, and a sheet to write your answers with your basic infoAptitude: (Not mcq's) Easy level:If the radius of the s 3 min read
• Tricon Infotech Interview Experience | Set 1 (On-Campus) It consists of 10 questions. which have to be done in 1hr(subjective questions) Question are like: 1: Deduce the locker code given that there are 4 digit code a) last digit(unit place) is twice than the first digit(thousand's place) b) 2nd and 3rd digit is same. c) last two digit is twice than the f 3 min read
• IBM Placement Paper | Quantitative Analysis Set - 5 This is an IBM model paper for Quantitative Aptitude. This placement paper will cover aptitude that is asked in IBM placements and also strictly follows the pattern of questions asked in IBM papers. It is recommended to solve each one of the following questions to increase your chances of clearing t 4 min read
• Class 8 NCERT Mathematics Solutions - Chapter 2 Linear Equations in One Variable - Exercise 2.4 Chapter 2 of the Class 8 NCERT Mathematics textbook, "Linear Equations in One Variable," introduces students to solving linear equations, which are equations involving only one variable. Exercise 2.4 focuses on applying these concepts to solve a range of linear equations through various methods. In 9 min read
• Programming

Improve your Coding Skills with Practice

What kind of Experience do you want to share?

Tutorial Playlist

Programming tutorial, your guide to the best backend languages for 2025, an ultimate guide that helps you to start learn coding 2024, what is backend development: the ultimate guide for beginners, all you need to know for choosing the first programming language to learn, here’s all you need to know about coding, decoding, and reasoning with examples, understanding what is xml: the best guide to xml and its concepts., an ultimate guide to learn the importance of low-code and no-code development, top 10 front end languages: a beginner's guide, top 75+ frontend developer interview questions and answers, the ultimate guide to learn typescript generics, the most comprehensive guide for beginners to know ‘what is typescript’.

The Ultimate Guide on Introduction to Competitive Programming

Top 60+ TCS NQT Interview Questions and Answers for 2025

Most commonly asked logical reasoning questions in an aptitude test, everything you need to know about advanced typescript concepts, an absolute guide to build c hello world program, a one-stop solution guide to learn how to create a game in unity, what is nat significance of nat for translating ip addresses in the network model, data science vs software engineering: key differences, a real-time chat application typescript project using node.js as a server, what is raspberry pi here’s the best guide to get started, what is arduino here’s the best beginners guide to get started, arduino vs. raspberry pi: which is the better board, the perfect guide for all you need to learn about mean stack, software developer resume: a comprehensive guide, here’s everything all you need to know about the programming roadmap, an ultimate guide that helps you to develop and improve problem solving in programming, the top 10 awesome arduino projects of all time, pyspark rdd: everything you need to know about pyspark rdd, wipro interview questions and answers that you should know before going for an interview, how to use typescript with nodejs: the ultimate guide, what is rust programming language why is it so popular, software terminologies, an ultimate guide that helps you to develop and improve problem solving in programming.

Lesson 27 of 33 By Hemant Deshpande

Table of Contents

Coding and Programming skills hold a significant and critical role in implementing and developing various technologies and software. They add more value to the future and development. These programming and coding skills are essential for every person to improve problem solving skills. So, we brought you this article to help you learn and know the importance of these skills in the future. 

Unleash Your Career as a Full Stack Developer!

Topics covered in this problem solving in programming article are:

• What is Problem Solving in Programming? 
• Problem Solving skills in Programming
• How does it impact your career ?
• Steps involved in Problem Solving
• Steps to improve Problem Solving in programming

What is Problem Solving in Programming?

Computers are used to solve various problems in day-to-day life. Problem Solving is an essential skill that helps to solve problems in programming. There are specific steps to be carried out to solve problems in computer programming, and the success depends on how correctly and precisely we define a problem. This involves designing, identifying and implementing problems using certain steps to develop a computer.

When we know what exactly problem solving in programming is, let us learn how it impacts your career growth.

How Does It Impact Your Career?

Many companies look for candidates with excellent problem solving skills. These skills help people manage the work and make candidates put more effort into the work, which results in finding solutions for complex problems in unexpected situations. These skills also help to identify quick solutions when they arise and are identified. 

People with great problem solving skills also possess more thinking and analytical skills, which makes them much more successful and confident in their career and able to work in any kind of environment. 

The above section gives you an idea of how problem solving in programming impacts your career and growth. Now, let's understand what problem solving skills mean.

Get the Coding Skills You Need to Succeed

Problem Solving Skills in Programming

Solving a question that is related to computers is more complicated than finding the solutions for other questions. It requires excellent knowledge and much thinking power. Problem solving in programming skills is much needed for a person and holds a major advantage. For every question, there are specific steps to be followed to get a perfect solution. By using those steps, it is possible to find a solution quickly.

The above section is covered with an explanation of problem solving in programming skills. Now let's learn some steps involved in problem solving.

Steps Involved in Problem Solving

Before being ready to solve a problem, there are some steps and procedures to be followed to find the solution. Let's have a look at them in this problem solving in programming article.

Basically, they are divided into four categories:

• Analysing the problem
• Developing the algorithm
• Testing and debugging

Get Mentored by Leading Java Experts!

Analysing the Problem

Every problem has a perfect solution; before we are ready to solve a problem, we must look over the question and understand it. When we know the question, it is easy to find the solution for it. If we are not ready with what we have to solve, then we end up with the question and cannot find the answer as expected. By analysing it, we can figure out the outputs and inputs to be carried out. Thus, when we analyse and are ready with the list, it is easy and helps us find the solution easily. 

Developing the Algorithm

It is required to decide a solution before writing a program. The procedure of representing the solution  in a natural language called an algorithm. We must design, develop and decide the final approach after a number of trials and errors, before actually writing the final code on an algorithm before we write the code. It captures and refines all the aspects of the desired solution.

Once we finalise the algorithm, we must convert the decided algorithm into a code or program using a dedicated programming language that is understandable by the computer to find a desired solution. In this stage, a wide variety of programming languages are used to convert the algorithm into code. 

Testing and Debugging

The designed and developed program undergoes several rigorous tests based on various real-time parameters and the program undergoes various levels of simulations. It must meet the user's requirements, which have to respond with the required time. It should generate all expected outputs to all the possible inputs. The program should also undergo bug fixing and all possible exception handling. If it fails to show the possible results, it should be checked for logical errors.

Industries follow some testing methods like system testing, component testing and acceptance testing while developing complex applications. The errors identified while testing are debugged or rectified and tested again until all errors are removed from the program.

The steps mentioned above are involved in problem solving in programming. Now let's see some more detailed information about the steps to improve problem solving in programming.

Steps to Improve Problem Solving in Programming

Right mindset.

The way to approach problems is the key to improving the skills. To find a solution, a positive mindset helps to solve problems quickly. If you think something is impossible, then it is hard to achieve. When you feel free and focus with a positive attitude, even complex problems will have a perfect solution.

Making Right Decisions

When we need to solve a problem, we must be clear with the solution. The perfect solution helps to get success in a shorter period. Making the right decisions in the right situation helps to find the perfect solution quickly and efficiently. These skills also help to get more command over the subject.

Keeping Ideas on Track

Ideas always help much in improving the skills; they also help to gain more knowledge and more command over things. In problem solving situations, these ideas help much and help to develop more skills. Give opportunities for the mind and keep on noting the ideas.

Learning from Feedbacks

A crucial part of learning is from the feedback. Mistakes help you to gain more knowledge and have much growth. When you have a solution for a problem, go for the feedback from the experienced or the professionals. It helps you get success within a shorter period and enables you to find other solutions easily.

Asking Questions

Questions are an incredible part of life. While searching for solutions, there are a lot of questions that arise in our minds. Once you know the question correctly, then you are able to find answers quickly. In coding or programming, we must have a clear idea about the problem. Then, you can find the perfect solution for it. Raising questions can help to understand the problem.

These are a few reasons and tips to improve problem solving in programming skills. Now let's see some major benefits in this article.

Don't miss out on the opportunity to become a Certified Professional with Simplilearn's Post Graduate Program in Full Stack Web Development .

• Problem solving in programming skills helps to gain more knowledge over coding and programming, which is a major benefit.
• These problem solving skills also help to develop more skills in a person and build a promising career.
• These skills also help to find the solutions for critical and complex problems in a perfect way.
• Learning and developing problem solving in programming helps in building a good foundation.
• Most of the companies are looking for people with good problem solving skills, and these play an important role when it comes to job opportunities 

Problem solving in programming skills is important in this modern world; these skills build a great career and hold a great advantage. This article on problem solving in programming provides you with an idea of how it plays a massive role in the present world. In this problem solving in programming article, the skills and the ways to improve more command on problem solving in programming are mentioned and explained in a proper way.

If you are looking to advance in your career. Simplilearn provides training and certification courses on various programming languages - Python , Java , Javascript , and many more. Check out our Full Stack Developer - MERN Stack course that will help you excel in your career.

If you have any questions for us on the problem solving in programming article. Do let us know in the comments section below; we have our experts answer it right away.

Find our Full Stack (MERN Stack) Developer Masters Program Online Bootcamp in top cities:

About the author.

Hemant Deshpande, PMP has more than 17 years of experience working for various global MNC's. He has more than 10 years of experience in managing large transformation programs for Fortune 500 clients across verticals such as Banking, Finance, Insurance, Healthcare, Telecom and others. During his career he has worked across the geographies - North America, Europe, Middle East, and Asia Pacific. Hemant is an internationally Certified Executive Coach (CCA/ICF Approved) working with corporate leaders. He also provides Management Consulting and Training services. He is passionate about writing and regularly blogs and writes content for top websites. His motto in life - Making a positive difference.

Recommended Resources

Your One-Stop Solution to Understand Coin Change Problem

Combating the Global Talent Shortage Through Skill Development Programs

What Is Problem Solving? Steps, Techniques, and Best Practices Explained

One Stop Solution to All the Dynamic Programming Problems

The Ultimate Guide to Top Front End and Back End Programming Languages for 2021

• PMP, PMI, PMBOK, CAPM, PgMP, PfMP, ACP, PBA, RMP, SP, OPM3 and the PMI ATP seal are the registered marks of the Project Management Institute, Inc.

How to think like a programmer — lessons in problem solving

By Richard Reis

If you’re interested in programming, you may well have seen this quote before:

“Everyone in this country should learn to program a computer, because it teaches you to think.” — Steve Jobs

You probably also wondered what does it mean, exactly, to think like a programmer? And how do you do it??

Essentially, it’s all about a more effective way for problem solving .

In this post, my goal is to teach you that way.

By the end of it, you’ll know exactly what steps to take to be a better problem-solver.

Why is this important?

Problem solving is the meta-skill.

We all have problems. Big and small. How we deal with them is sometimes, well…pretty random.

Unless you have a system, this is probably how you “solve” problems (which is what I did when I started coding):

• Try a solution.
• If that doesn’t work, try another one.
• If that doesn’t work, repeat step 2 until you luck out.

Look, sometimes you luck out. But that is the worst way to solve problems! And it’s a huge, huge waste of time.

The best way involves a) having a framework and b) practicing it.

“Almost all employers prioritize problem-solving skills first. Problem-solving skills are almost unanimously the most important qualification that employers look for….more than programming languages proficiency, debugging, and system design. Demonstrating computational thinking or the ability to break down large, complex problems is just as valuable (if not more so) than the baseline technical skills required for a job.” — Hacker Rank ( 2018 Developer Skills Report )

Have a framework

To find the right framework, I followed the advice in Tim Ferriss’ book on learning, “ The 4-Hour Chef ”.

It led me to interview two really impressive people: C. Jordan Ball (ranked 1st or 2nd out of 65,000+ users on Coderbyte ), and V. Anton Spraul (author of the book “ Think Like a Programmer: An Introduction to Creative Problem Solving ”).

I asked them the same questions, and guess what? Their answers were pretty similar!

Soon, you too will know them.

Sidenote: this doesn’t mean they did everything the same way. Everyone is different. You’ll be different. But if you start with principles we all agree are good, you’ll get a lot further a lot quicker.

“The biggest mistake I see new programmers make is focusing on learning syntax instead of learning how to solve problems.” — V. Anton Spraul

So, what should you do when you encounter a new problem?

Here are the steps:

1. Understand

Know exactly what is being asked. Most hard problems are hard because you don’t understand them (hence why this is the first step).

How to know when you understand a problem? When you can explain it in plain English.

Do you remember being stuck on a problem, you start explaining it, and you instantly see holes in the logic you didn’t see before?

Most programmers know this feeling.

This is why you should write down your problem, doodle a diagram, or tell someone else about it (or thing… some people use a rubber duck ).

“If you can’t explain something in simple terms, you don’t understand it.” — Richard Feynman

Don’t dive right into solving without a plan (and somehow hope you can muddle your way through). Plan your solution!

Nothing can help you if you can’t write down the exact steps.

In programming, this means don’t start hacking straight away. Give your brain time to analyze the problem and process the information.

To get a good plan, answer this question:

“Given input X, what are the steps necessary to return output Y?”

Sidenote: Programmers have a great tool to help them with this… Comments!

Pay attention. This is the most important step of all.

Do not try to solve one big problem. You will cry.

Instead, break it into sub-problems. These sub-problems are much easier to solve.

Then, solve each sub-problem one by one. Begin with the simplest. Simplest means you know the answer (or are closer to that answer).

After that, simplest means this sub-problem being solved doesn’t depend on others being solved.

Once you solved every sub-problem, connect the dots.

Connecting all your “sub-solutions” will give you the solution to the original problem. Congratulations!

This technique is a cornerstone of problem-solving. Remember it (read this step again, if you must).

“If I could teach every beginning programmer one problem-solving skill, it would be the ‘reduce the problem technique.’ For example, suppose you’re a new programmer and you’re asked to write a program that reads ten numbers and figures out which number is the third highest. For a brand-new programmer, that can be a tough assignment, even though it only requires basic programming syntax. If you’re stuck, you should reduce the problem to something simpler. Instead of the third-highest number, what about finding the highest overall? Still too tough? What about finding the largest of just three numbers? Or the larger of two? Reduce the problem to the point where you know how to solve it and write the solution. Then expand the problem slightly and rewrite the solution to match, and keep going until you are back where you started.” — V. Anton Spraul

By now, you’re probably sitting there thinking “Hey Richard... That’s cool and all, but what if I’m stuck and can’t even solve a sub-problem??”

First off, take a deep breath. Second, that’s fair.

Don’t worry though, friend. This happens to everyone!

The difference is the best programmers/problem-solvers are more curious about bugs/errors than irritated.

In fact, here are three things to try when facing a whammy:

• Debug: Go step by step through your solution trying to find where you went wrong. Programmers call this debugging (in fact, this is all a debugger does).

“The art of debugging is figuring out what you really told your program to do rather than what you thought you told it to do.”” — Andrew Singer

• Reassess: Take a step back. Look at the problem from another perspective. Is there anything that can be abstracted to a more general approach?

“Sometimes we get so lost in the details of a problem that we overlook general principles that would solve the problem at a more general level. […] The classic example of this, of course, is the summation of a long list of consecutive integers, 1 + 2 + 3 + … + n, which a very young Gauss quickly recognized was simply n(n+1)/2, thus avoiding the effort of having to do the addition.” — C. Jordan Ball

Sidenote: Another way of reassessing is starting anew. Delete everything and begin again with fresh eyes. I’m serious. You’ll be dumbfounded at how effective this is.

• Research: Ahh, good ol’ Google. You read that right. No matter what problem you have, someone has probably solved it. Find that person/ solution. In fact, do this even if you solved the problem! (You can learn a lot from other people’s solutions).

Caveat: Don’t look for a solution to the big problem. Only look for solutions to sub-problems. Why? Because unless you struggle (even a little bit), you won’t learn anything. If you don’t learn anything, you wasted your time.

Don’t expect to be great after just one week. If you want to be a good problem-solver, solve a lot of problems!

Practice. Practice. Practice. It’ll only be a matter of time before you recognize that “this problem could easily be solved with .”

How to practice? There are options out the wazoo!

Chess puzzles, math problems, Sudoku, Go, Monopoly, video-games, cryptokitties, bla… bla… bla….

In fact, a common pattern amongst successful people is their habit of practicing “micro problem-solving.” For example, Peter Thiel plays chess, and Elon Musk plays video-games.

“Byron Reeves said ‘If you want to see what business leadership may look like in three to five years, look at what’s happening in online games.’ Fast-forward to today. Elon [Musk], Reid [Hoffman], Mark Zuckerberg and many others say that games have been foundational to their success in building their companies.” — Mary Meeker ( 2017 internet trends report )

Does this mean you should just play video-games? Not at all.

But what are video-games all about? That’s right, problem-solving!

So, what you should do is find an outlet to practice. Something that allows you to solve many micro-problems (ideally, something you enjoy).

For example, I enjoy coding challenges. Every day, I try to solve at least one challenge (usually on Coderbyte ).

Like I said, all problems share similar patterns.

That’s all folks!

Now, you know better what it means to “think like a programmer.”

You also know that problem-solving is an incredible skill to cultivate (the meta-skill).

As if that wasn’t enough, notice how you also know what to do to practice your problem-solving skills!

Phew… Pretty cool right?

Finally, I wish you encounter many problems.

You read that right. At least now you know how to solve them! (also, you’ll learn that with every solution, you improve).

“Just when you think you’ve successfully navigated one obstacle, another emerges. But that’s what keeps life interesting.[…] Life is a process of breaking through these impediments — a series of fortified lines that we must break through. Each time, you’ll learn something. Each time, you’ll develop strength, wisdom, and perspective. Each time, a little more of the competition falls away. Until all that is left is you: the best version of you.” — Ryan Holiday ( The Obstacle is the Way )

Now, go solve some problems!

And best of luck ?

Special thanks to C. Jordan Ball and V. Anton Spraul . All the good advice here came from them.

Thanks for reading! If you enjoyed it, test how many times can you hit in 5 seconds. It’s great cardio for your fingers AND will help other people see the story.

If you read this far, thank the author to show them you care. Say Thanks

Learn to code for free. freeCodeCamp's open source curriculum has helped more than 40,000 people get jobs as developers. Get started

Secondary Menu

Programming and problem solving, compsci 94fs, enroll consent.

Department Consent Required

Drop Consent

Curriculum codes, typically offered.

• CS 50th Anniversary
• Computing Resources
• Event Archive
• Location & Directions
• Job Opportunities
• AI for Social Good
• Computational Social Choice
• Computer Vision
• Machine Learning
• Natural Language Processing (NLP)
• Reinforcement Learning
• Search and Optimization
• Computational Biochemistry and Drug Design
• Computational Genomics
• Computational Imaging
• DNA and Molecular Computing
• Algorithmic Game Theory
• Social Choice
• Computational Journalism
• Broadening Participation in Computing
• CS1/CS2 Learning, Pedagogy, and Curricula
• Education Technology
• Practical and Ethical Approaches to Software and Computing
• Interdisciplinary Research in Data Science
• Security & Privacy
• Architecture
• Computer Networks
• Distributed Systems
• High Performance Computing
• Operating Systems
• Quantum Computing
• Approximation and Online Algorithms
• Coding and Information Theory
• Computational Complexity
• Geometric Computing
• Graph Algorithms
• Numerical Analysis
• Programming Languages
• Why Duke Computer Science?
• BS Concentration in Software Systems
• BS Concentration in Data Science
• BS Concentration in AI and Machine Learning
• BA Requirements
• Minors in Computer Science
• 4+1 Program for Duke Undergraduates
• IDM in Math + CS on Data Science
• IDM in Linguistics + CS
• IDM in Statistics + CS on Data Science
• IDM in Visual & Media Studies (VMS) + CS
• Graduation with Distinction
• Independent Study
• Identity in Computing Research
• CS+ Summer Program
• Undergraduate Student Resources
• CS Related Student Organizations
• Undergraduate Teaching Assistant (UTA) Information
• Starting in Computer Science
• Your Background
• Schedule a Visit
• All Prospective CS Undergrads
• Admitted or Declared 1st Majors
• First Course in CS
• Trinity Ambassadors
• Mentoring for CS Graduate Students
• MSEC Requirements
• Master's Options
• Financial Support
• MS Requirements
• Concurrent Master's for Non-CS PhDs
• Admission & Enrollment Statistics
• PhD Course Requirements
• Conference Travel
• Frequently Asked Questions
• Additional Graduate Student Resources
• Graduate Awards
• Undergraduate Courses
• Graduate Courses
• Fall 2024 Classes
• Spring 2024 Classes
• Fall 2023 Classes
• Course Substitutions for Majors & Minors
• Course Bulletin
• Course Registration Logistics
• Assisting Duke Students
• For Current Students
• Alumni Lectures - Spring 2024
• News - Alumni
• Primary Faculty
• Secondary Faculty
• Adjunct and Visiting Faculty
• Emeriti - In Memoriam
• Postdoctoral Fellows
• Ph.D. Program
• Masters in Computer Science
• Masters in Economics and Computation
• Affiliated Graduate Students