This course covers basic algorithm design techniques such as divide and conquer, dynamic programming, and greedy algorithms. It concludes with a brief introduction to intractability (NP ...

Create divide and conquer, dynamic programming, and greedy algorithms. Understand intractable problems, P vs NP and the use of integer programming solvers to tackle some of these problems. Course ...

Specialization: Data Science Foundations: Data Structures and Algorithms Instructor: Sriram Sankaranarayanan, Assistant Professor Prior knowledge needed: We highly recommended successfully completing ...

COMP_SCI 396, 496: Advanced Algorithm Design through the Lens of Competitive Programming VIEW ALL COURSE TIMES AND SESSIONS Prerequisites CS 336 or Permission of Instructor ... This course examines ...

Introduction to programming in Python. Introduction to the theory of algorithms: running time and correctness of an algorithm. Recursion. Data structures: arrays, linked lists, stacks, queues, binary ...