On August 27, 2025, Lee Robinson, the head of AI education at Cursor, released a programming tutorial aimed at beginners. This tutorial is designed to help developers leverage AI tools to improve ...

Formulate linear and integer programming problems for solving commonly encountered optimization problems. Understand how approximation algorithms compute solutions that are guaranteed to be within ...

Advanced study in models of computation, programming languages and algorithms with a specific focus on concurrent programming. The course includes models of computation, programming language paradigms ...

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) .

Technical Terms Probabilistic Programming: A programming paradigm that incorporates probabilistic models within code, enabling the direct representation and manipulation of uncertainty.

GCSE Computer Science Computational thinking, algorithms and programming learning resources for adults, children, parents and teachers.

Interfaces, Vol. 20, No. 4, The Practice of Mathematical Programming (Jul. - Aug., 1990), pp. 133-149 (17 pages) The auction algorithm is an intuitive method for solving the classical assignment ...

Dynamic programming (DP) algorithms have become indispensable in computational biology, addressing problems that range from sequence alignment and phylogenetic inference to RNA secondary structure ...