24S114TDU - Deep Learning Techniques
| Course specification | ||||
|---|---|---|---|---|
| Course title | Deep Learning Techniques | |||
| Acronym | 24S114TDU | |||
| Study programme | Software Engineering | |||
| Module | ||||
| Type of study | bachelor academic studies | |||
| Lecturer (for classes) | ||||
| Lecturer/Associate (for practice) | ||||
| Lecturer/Associate (for OTC) | ||||
| ESPB | 6.0 | Status | elective | |
| Condition | ||||
| The goal | ||||
| The outcome | ||||
| Contents | ||||
| Contents of lectures | ||||
| Contents of exercises | ||||
| Number of hours per week during the semester/trimester/year | ||||
| Lectures | Exercises | OTC | Study and Research | Other classes |
| 2 | 2 | 1 | ||
| Methods of teaching | ||||
| Knowledge score (maximum points 100) | ||||
| Pre obligations | Points | Final exam | Points | |
| Activites during lectures | Test paper | |||
| Practical lessons | Oral examination | |||
| Projects | ||||
| Colloquia | ||||
| Seminars | ||||