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This course covers stochastic techniques used in the development of computer models employed in different fields, from computer graphics and biomedical engineering, to remote sensing and artificial ...
For example, you may choose to have 6 modules over a thirteen week course, with one week at the end for review activities. In this case, you may only meet students synchronously once every two weeks, ...
This research-to-practice paper introduces a mini-course module designed to teach computer science students how to interact more efficiently with Generative AI(GAI). The rapid rise of GAI is ...
In the last module of this course, we'll explore the future of computer networking. We'll also cover the practical aspects of troubleshooting a network using popular operating systems. By the end of ...
This module has the explicit objective of developing group teamwork skills. Participation in teamwork is mandatory and failure to participate will result in deduction of marks and eventually loss of ...
Computer programming requires the analysis of a problem, the production of requirements, and their translation into a design that can be executed on a computer. This module introduces the skills ...
Prepare and train computer security experts for the delivery of computer security training modules, demonstrations and hands-on exercises conducted during training activities at the IAEA’s NSTDC.
This module develops complementary graduate skills as you work in groups to develop a business plan to bid for mock research funding. Course structure Year 1 modules Core modules: Computational ...
The Computer Science (Artificial Intelligence) conversion course will give you the opportunity to embark on a new career in Computer Science with a particular emphasis in Artificial Intelligence.The ...
Note: All modules are indicative and based on the current academic session. Course information is correct at the time of publication and is subject to review. Exact modules may, therefore, vary for ...
Course structure Year 1 modules Core modules: Computational Thinking . explores the breadth of computer science and the ways in which the different topics are linked. You will learn the importance of ...
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