When you enroll through our links, we may earn a small commission—at no extra cost to you. This helps keep our platform free and inspires us to add more value.
IMTx: Advanced Algorithmics and Graph Theory with Python
Strengthen your skills in algorithmics and graph theory, and gain experience in programming in Python along the way.
This Course Includes
edx
0 (0 reviews )
6 weeks at 2-4 hours per week
english
Online - Self Paced
course
IMTx
About IMTx: Advanced Algorithmics and Graph Theory with Python
Algorithmics and programming are fundamental skills for engineering students, data scientists and analysts, computer hobbyists or developers.
Learning how to program algorithms can be tedious if you aren’t given an opportunity to immediately practice what you learn. In this course, you won't just focus on theory or study a simple catalog of methods, procedures, and concepts. Instead, you’ll be given a challenge wherein you'll be asked to beat an algorithm we’ve written for you by coming up with your own clever solution.
To be specific, you’ll have to work out a route faster than your opponent through a maze while picking up objects.
Each week, you will learn new material to improve your artificial intelligence in order to beat your opponent. This structure means that as a learner, you’ll confront each abstract notion with a real-world problem.
We’ll go over data-structures, basic and advanced algorithms for graph theory, complexity/accuracy trade-offs, and even combinatorial game theory.
This course has received financial support from the Patrick and Lina Drahi Foundation.
What You Will Learn?
- Ways to express a computational problem (such as pathfinding) using graph theory.
- How to choose the appropriate algorithm to solve the given computational problem.
- How to code the algorithmic solution in python.
- Methods for evaluating the proposed solution in terms of its complexity (amount of resources, scalability) or performance (accuracy, latency).