AI Neural Networks 7,5 Credits
Gain in-depth knowledge of neural networks and how they are used in modern AI. The course is taught in English and combines theoretical foundations with practical application in real-world problems.
This contract education course is aimed at professionals who want to understand and apply neural networks in their organisation. The course is offered at advanced level and corresponds to 7.5 credits.
The course is delivered online and includes lectures, self-study and a written assessment.
Content
The course covers, among other things:
- the structure and function of neural networks
- training methods such as SGD and Adam
- architectures such as CNN and RNN
- data preparation and model evaluation
- practical programming for classification and prediction
- ethical aspects, such as transparency and bias
After the course
After completing the course, participants will be able to:
- understand and explain key AI methods
- develop and evaluate models for real-world problems
- assess the strengths and limitations of different solutions
Assessment
The course is assessed through a written assignment.
Course coordinator and examiner
Amy Loutfi, Professor of Computer Science.
Practical information
- Study mode: Distance/online
- Language: English
- Extent: 7.5 Credits
- Grading: Fail (U), Pass (G) or Pass with Distinction (VG)
Target group
Professionals in technology, analytics or development who want to deepen their AI competence.
Contact
Åsa Kärrman-Bolang
asa.karrman-bolang@oru.se