A broad survey of the computer science discipline, focusing on the computer's role in representing, storing, manipulating, organizing and communicating information. Topics include hardware, software, ...

Making the real-world connection, the guide then walks programmers through implementing the algorithms on IBM's publicly available 5-qubit IBMQX4 quantum computer and others.

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

Specialization: Foundations of Data Structures and Algorithms Instructor: Dr. Sriram Sankaranarayanan, Professor of Computer Science Prior knowledge needed: You must understand all concepts covered in ...

Algorithm design and analysis is fundamental to all areas of computer science and gives a rigorous framework for the study optimization. This course provides an introduction to algorithm design ...

Description Introduction to programming practice using Python. Analysis and formulation of problems for computer solution. Systematic design, construction, and testing of programs. Substantial ...

I see it time and again in Google interviews or new-grad hires: The way data structures and algorithms — among the most important subjects in a proper computer science curriculum — are learnt ...

Professor Adam Cannon’s famed Introduction to Computer Science and Programming in Java (COMS W1004) is one of Columbia’s most well-known CS courses, but we all want to know what a course is really ...

Harvard offers free courses in multiple subject areas including Arts and Design, Theology, Business, Computer Science, Data ...