Course unit, curriculum year 2025–2026
DATA.ML.230
Advanced Deep Learning, 5 cr
Tampere University
- Description
- Completion options
Teaching periods
Active in period 3 (1.1.2026–1.3.2026)
Active in period 4 (2.3.2026–31.5.2026)
Course code
DATA.ML.230Language of instruction
EnglishAcademic years
2025–2026, 2026–2027Level of study
Advanced studiesGrading scale
General scale, 0-5Persons responsible
Responsible teacher:
Alexandros IosifidisResponsible organisation
Faculty of Information Technology and Communication Sciences 100 %
- Advanced deep neural network architectures
- Deep neural network learning paradigms
- Deep neural networks for graphs
- Generative deep neural networks
- Implementations in Python (using PyTorch)
Learning outcomes
Prerequisites
Compulsory prerequisites
Further information
Learning material
Studies that include this course
Completion option 1
Exercises and exam
Participation in teaching
05.01.2026 – 07.05.2026
Active in period 3 (1.1.2026–1.3.2026)
Active in period 4 (2.3.2026–31.5.2026)