Applied AI in Engineering (H7140)
Applied AI in Engineering
Module H7140
Module details for 2027/28.
15 credits
FHEQ Level 5
Module Outline
This module introduces the foundations and practical applications of Artificial Intelligence (AI) and Data Science within engineering contexts, while teaching you how to program effectively in Python. It combines theoretical concepts in probability and statistics as mathematical frameworks forming the basis for many AI and Data Science methods. Throughout, a blend of practical, example-based approaches combined with the theoretical background will be adopted to enable students to apply AI to tackle engineering problems using Python programme language. It also covers the ethical, legal, and professional implications of utilising AI in engineering .
Full Module Description
This module introduces the foundations and practical applications of Artificial Intelligence (AI) and Data Science within engineering contexts, while teaching you how to program effectively in Python. It combines theoretical concepts in probability and statistics as mathematical frameworks forming the basis for many AI and Data Science methods. Throughout, a blend of practical, example-based approaches combined with the theoretical background will be adopted to enable students to apply AI to tackle engineering problems using Python programme language. It also covers the ethical, legal, and professional implications of utilising AI in engineering .
Module learning outcomes
Demonstrate understanding of the basic machine learning pipeline for both classification and regression
Develop and implement Python programs that use fundamental AI and data-science techniques to solve well-defined engineering problems
Evaluate the outputs of AI models assessing their validity, limitations, and relevance within engineering applications and justify the selection of appropriate AI or data science methods
Evaluate ethical, legal, and professional implications of using AI in Engineering
| Type | Timing | Weighting |
|---|---|---|
| Project (3000 words) | Autumn Semester Week 8 Wed 16:00 | 100.00% |
Timing
Submission deadlines may vary for different types of assignment/groups of students.
Weighting
Coursework components (if listed) total 100% of the overall coursework weighting value.
| Term | Method | Duration | Week pattern |
|---|---|---|---|
| Autumn Semester | Lecture | 2 hours | 11111111111 |
| Autumn Semester | Laboratory | 2 hours | 11111111111 |
How to read the week pattern
The numbers indicate the weeks of the term and how many events take place each week.
Please note that the University will use all reasonable endeavours to deliver courses and modules in accordance with the descriptions set out here. However, the University keeps its courses and modules under review with the aim of enhancing quality. Some changes may therefore be made to the form or content of courses or modules shown as part of the normal process of curriculum management.
The University reserves the right to make changes to the contents or methods of delivery of, or to discontinue, merge or combine modules, if such action is reasonably considered necessary by the University. If there are not sufficient student numbers to make a module viable, the University reserves the right to cancel such a module. If the University withdraws or discontinues a module, it will use its reasonable endeavours to provide a suitable alternative module.