AI in the Context of Computer Engineering
2022/2023
Content, progress and pedagogy of the module
Learning objectives
Knowledge
The student should have knowledge about:
- How different Artificial Intelligence methods, incl Machine Learning, can be used to solve a concrete problem within the field of Computer Engineering
- Specific in-depth knowledge about at least one advanced method or technology applied in the field of Computer engineering, such as modelling and performance analysis of networks and distributed systems; computer vision; sound technology.
Skills
- Can explain the process of and criteria for choosing an approach within the AI toolbox to solve a concrete problem within the field of Computer Engineering
- Can identify a suitable method and apply it to solve a concrete problem within the field of Computer Engineering
- Can analyse the performance and discuss the results, advantages and disadvantages of the chosen AI method
Competences
- Must be able to analyze a selected problem within Computer Engineering field and apply one of the methods from AI toolbox to produce a new knowledge and/or solution
Type of instruction
As descript in §17
Exam
Exams
| Name of exam | AI in the Context of Computer Engineering |
| Type of exam | Oral exam based on a project |
| ECTS | 20 |
| Assessment | 7-point grading scale |
| Type of grading | Internal examination |
| Criteria of assessment | The criteria of assessment are stated in the Examination Policies and Procedures |
Facts about the module
| Danish title | AI i konteksten af computerteknologi |
| Module code | ESNNDSK3P8 |
| Module type | Project |
| Duration | 1 semester |
| Semester | Autumn
|
| ECTS | 20 |
| Language of instruction | English |
| Empty-place Scheme | Yes |
| Location of the lecture | Campus Aalborg |
| Responsible for the module |
Organisation
| Study Board | Study Board of Electronics and IT |
| Department | Department of Electronic Systems |
| Faculty | The Technical Faculty of IT and Design |
