In this course you will learn the techniques and skills needed to solve algorithmic programming contests problems such as those that appear on the International Collegiagte Programming Contest (ICPC), Codeforces, DMOJ, and AtCoder. Much of your time will be spent writing programs on your own to solve problems. (If you are interested in participating in the ICPC see this page.)
But the skills you will pick up from the course are far more valuable than just enabling you to win contests. Many of the algorithms and techniques are classic ones that every computer scientist should know. You will also learn to think about algorithms in a deeper way, because many of the problems require you have to devise a new algorithm, not just apply a classic one. You will also become highly fluent in a programming language of your choice. These skills will be of great value in your other classes, in your job interviews, and in your future work, not to mention the satisfaction you will get from solving these problems.
Basic Information
Weekly Problems
Rules and Academic Integrity
Grading
Logistics
Training Resources
Learning Material Diversity, Equity and Inclusion
The regular weekly contests will take place Wednesdays beginning at 7pm in Posner Hall 151, and last 2.5 hours (you don't have to stay the whole time.) Some contests will have a theme. In this case the theme will be listed with the contest, along with links to tutorials or background materials. During the contests, the instructors will be available for help in the classroom, or via Discord.
- Instructor: Danny Sleator <sleator@cs.cmu.edu>
- Teaching Assistant: William Tsin <wtsin@andrew.cmu.edu>
- Class Meetings: Wednesdays from 7:00 to 9:30, POS 151
- Discord server: join link
- Codeforces 15-295 Group (REQUIRED: Join This Group!)
- Name List (REQUIRED: Add Your Info!)
For more information on how to join these groups, etc, see the Logistics section below.
Today's contest had no theme. Can you figure out the secret of the problem names?
Contest Link: Here
Solutions: For Editing For Viewing
Try these beautiful aquatic-themed problems, which illustrate the power of using graphs to represent and solve problems.
Contest Link: Here
Solutions: For Editing For Viewing
This week we will talk about graph algorithms. This is a topic that will probably span multiple weeks as we cover things like shortest paths, minimum spanning trees, and network flows. For this week, we will focus on the fundamentals, and cover things like how to represent graphs and how to implement graph traversal algorithms (breadth first search and depth first search).
Practice Problems: Link
Lecture: Video DFS code in C++ BFS code in C++
Resources: Lecture notes on DFS and Strong Components
Contest Link: Here
Solutions: For Editing For Viewing
This week, we will practice the use of dynamic programming (DP) as a technique to solve programming competition problems. DP is quite possibly the most frequently occuring algorithmic technique used in competitions, with every ICPC contest always featuring at least one, if not several problems that require it. Mastering this technique is key to becoming a strong competitive programmer. DP revolves around two key concepts, optimal substructure, which means that a problem can be solved by breaking it into smaller versions of itself (much in the same way as divide and conquer), and memoization of overlapping subproblems, which means to cache the solutions to the smaller problems in case they need to be solved multiple times. Of all topics in competitive programming, it probably requires the most practice in order to master, so get started!
Resources: 451 Notes 1 451 Notes 2 Lecture Video (Daniel Anderson): Here Practice Contest: Here Contest Link: Here
Solutions: For Editing For Viewing
This week, we will focus on the most commonly used and fundamental algorithms and data structures in competitive programming. We will review and practice using arrays, binary search trees, hashtables, and priority queues. Knowing and understanding how to use these data structures in your favourite programming language is crucial to being able to quickly implement solutions to problems. We will mainly use C++ to demonstrate, but the ideas should be applicable to any language that supports these data structures.
Practice Problems: Here
Lecture Video (Daniel Anderson): Here
Contest Link: Here
Solutions: For Editing For Viewing
This week, we will practice the use of dynamic programming (DP) as a technique to solve programming competition problems. DP is quite possibly the most frequently occuring algorithmic technique used in competitions, with every ICPC contest always featuring at least one, if not several problems that require it. Mastering this technique is key to becoming a strong competitive programmer. DP revolves around two key concepts, optimal substructure, which means that a problem can be solved by breaking it into smaller versions of itself (much in the same way as divide and conquer), and memoization of overlapping subproblems, which means to cache the solutions to the smaller problems in case they need to be solved multiple times. Of all topics in competitive programming, it probably requires the most practice in order to master, so get started!
Lecture: Video binary search code ternary search code
Practice Problems: Here
Contest Link: Here
Solutions: For Editing For Viewing
This week has no particular algorithmic theme. Instead, we will go over the basics of competitive programming and do our first contest on Codeforces.com. Please make sure you have a Codeforces account ready to go and understand how to upload your solutions to the problems.
If you don't know how to read from standard input and write to standard output, here's a tutorial showing how to do it.
Contest Link: Here
Solutions: For editing For viewing
You can make use of generic on-line resources while solving problems. These include things like language documentation, API documentation, algorithm descriptions, terminology, etc. You are allowed to use any code you have written, at any time in the past, for any purpose. However, you should not search for or make use of code written by others to solve the specific assigned problem.
So to summarize, each student should write his or her own code. If you're stuck on a problem, you are welcome to discuss it with another student in the class, or the course staff. But you cannot copy another student's code.
The violations described above are regarded as an academic integrity violation, and -- depending on the severity -- will result in penalties and/or be reported to the appropriate university authorities.
This course is 5 units. Each week you will be given several problems to try to solve during class. You will be allowed (for half credit) to solve these problems during the week after the contest ends. You can also get credit for solving problems during rated contests on Codeforces. (This site run rated contests approximately every two weeks.)
To be more specific, you can earn points from the following sources:
The differences between 15-195 and 15-295 are: Students enrolled in 15-295 will not get credit for problems A and B of the weekly contests, but 15-195 students can. A student can take 15-195 only once, but 15-295 can be taken repeatedly.
Here is how your grade is determined:
score ≥ 25: A
score ≥ 15: B
score ≥ 10: C
score ≥ 5: D
Everyone in the class and/or on any programming team should be in this Discord workspace. This is one way we communicate with the class. Here is the join link.
Everybody in the class is required to have a Codeforces account. We will be running our weekly contests on that judge
Add your name along with your Codeforces handle name and other information to this spreadsheet. (It's the same one in Basic Information list above.)
To join the 15-295 codeforces group, first create your codeforces account, and login to it. Then go to this 15-295 Codeforces Group page. On this page you should see a list of the contests created for this course. Now, toward the right side of the page click on the link to join the group. (You only have to join once.) Then a "Register" link should appear next to the contest. Click on this link to register for the contest. After that another "Enter" link should be available for you to join the contest (if it has already started).
As we proceed through the semester we will tabulate your results and put them into this NOT SET UP YET document.
This semester Richard Peng is teaching 15495, Topics in Algorithmic Problem Solving. It's Tuesday and Thursday 2 to 3:20PM in Porter Hall 126A. Many techniques that are useful for contest solving will be covered.
There are many online resources available for you to train with if you intend to become a serious competitive programmer. You can find thousands of practice problems for you practice and improve your skills. Some good places to find practice problems include:
If you are a beginner looking for resources to learn the various topics that appear in typical contests, some good sources are:
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