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 ...

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 ...

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) .

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 ...

An exam that allowed students entry into CPSC 2230, “Data Systems and Programming Techniques,” without taking CPSC 2010, “Introduction to Computer Science,” will no longer be in use.

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 ...

Successive Linear Programming (SLP) algorithms solve nonlinear optimization problems via a sequence of linear programs. They have been widely used, particularly in the oil and chemical industries, ...