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, ...

Topics include algorithm design and program development; data types; control structures; functions and parameter passing; recursion; data structures; searching and sorting; and an introduction to the ...

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) .

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.

Introduction to theory of algorithms guided by basic Python programming. Algorithmic thinking: Do you know how to multiply integers? Basic toolkit for the design and analysis of algorithms, and an ...

This course continues our data structures and algorithms specialization by focussing on the use of linear and integer programming formulations for solving algorithmic problems that seek optimal ...

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 ...

The type of algorithm we need to solve this problem is called a computer program. This computer program is a list of instructions, in the right order, that makes the girl move on the screen.

Instructors of a new self-paced version of Introduction to Computer Programming found that three weeks before the end of classes, about half of the students enrolled were halfway through the course ...