Such algorithms are often quite efficient and provide useful bounds on the optimal solutions. The learning will be supported by instructor provided notes, readings from textbooks and assignments.

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) .

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

1 Describe key models of computation and associated programming language paradigms based on them.; 2 Evaluate the advantages and disadvantages of various programming languages for different ...

CSCI 5100 - Algorithms . 3 Credits. An overview of algorithm design and analysis. Topics include analysis of algorithms for traversing graphs and trees, searching and sorting, recursion, dynamic ...

Static program analysis is a cornerstone in verifying, optimising, and debugging modern software systems. By evaluating code without executing it, these techniques enable early detection of ...