Note: This course description is only applicable for the Computer Science Post-Baccalaureate program. Additionally, students must always refer to course syllabus for the most up to date information.

Programs close programSequences of instructions for a computer. are designed using common building blocks. These building blocks, known as programming constructs, form the basis for all programs.

In this course, we will introduce various algorithmic techniques used for solving optimization problems such as greedy algorithms, local search, dynamic programming, linear programming (LP), ...

Building fast and highly performant data science applications requires an intimate knowledge of how data can be organized in a computer ... with the basics of programming in Python. By completing this ...

But if you can understand how they process things, a computer can be the most ... also provide a good opportunity to recap the basic concept of an algorithm and efficiency, flow-charting and ...

Algorithm design and analysis is fundamental to all areas of computer science and gives a rigorous framework for the study optimization. This course provides an introduction to algorithm design ...

Through collaboration with colleagues in areas such as Computer Science, Biology, Oceanography and Statistics, researchers in the Algorithms and Bioinformatics cluster develop tools that have gained ...

Algorithms and operating systems Courses available in English: Networks Under this tab you'll find a few courses related to networks. Computer science and data science courses by level The courses at ...

Online resources like the Basic Local Alignment Search Tool (BLAST) provide a helping hand. Although the computer science principles ... used dynamic programming algorithms, such as the Needleman ...