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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.

Advanced Algorithmics and Graph Theory with Python
6 semanas
2–4 horas por semana
Al ritmo del instructor
Con un cronograma específico
Gratis
Verificación opcional disponible

Hay una sesión disponible:

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Comenzó el 4 sept
Termina el 31 ago

Sobre este curso

Omitir Sobre este curso

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.

De un vistazo

  • Institución: IMTx
  • Tema: Informática
  • Nivel: Intermediate
  • Prerrequisitos:

    Some familiarity with Python 3 and basic mathematics.

  • Idioma: English
  • Transcripción de video: English
  • Habilidades asociadas:Python (Programming Language), Game Theory, Data Structures, Algorithms, Artificial Intelligence, Graph Theory, Go (Programming Language)

Lo que aprenderás

Omitir Lo que aprenderás
  • 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)

Plan de estudios

Omitir Plan de estudios

Week 1:Fundamentals of Graph Theory, Problem Solving, Good Programming Practices
Week 2: Graph Traversal, Routing, Queuing Structures
Week 3:Shortest Paths, Min-Heaps, Algorithmic Complexity
Week 4:NP-Completeness, Traveling Salesman Problem, Backtracking
Week 5:Heuristics, Greedy Approaches, Accuracy/Complexity tradeoff
Week 6:Combinatorial Game Theory, Winning Strategies

¿Quién puede hacer este curso?

Lamentablemente, las personas residentes en uno o más de los siguientes países o regiones no podrán registrarse para este curso: Irán, Cuba y la región de Crimea en Ucrania. Si bien edX consiguió licencias de la Oficina de Control de Activos Extranjeros de los EE. UU. (U.S. Office of Foreign Assets Control, OFAC) para ofrecer nuestros cursos a personas en estos países y regiones, las licencias que hemos recibido no son lo suficientemente amplias como para permitirnos dictar este curso en todas las ubicaciones. edX lamenta profundamente que las sanciones estadounidenses impidan que ofrezcamos todos nuestros cursos a cualquier persona, sin importar dónde viva.

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