Topics include hardware, software, algorithms, operating systems, networks. An introduction to computer programming motivated by the analysis of biological data sets and the modeling of biological ...

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 ...

This course continues our data structures and algorithms specialization by focussing on the use of linear and integer programming formulations for ... some of these algorithms starting from a basic ...

Basic knowledge of Python programming is highly desirable. Introduction to theory of algorithms guided by basic Python programming. Algorithmic thinking: Do you know how to multiply integers? Basic ...

Deep-diving guide explains the basics, surveys major quantum algorithms and steps through ... of the guide covers the basics of quantum computer programming, explaining qubits and qubit systems ...

“Introduction to Computer Science,” or CPSC 2000, “Introduction to Information Systems.” Ozan Erat, a lecturer for “Data Systems and Programming Techniques,” wrote to the News the exam was removed due ...

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) . We will ...

Students majoring in computer science at Smith will gain a broad understanding of the core concepts of computing, as well as exposure to a variety of modern theoretical and programming paradigms ... A ...