Workload:
180 h
|
Module Number INF3152 |
Module Title Basics of Machine Learning (Practical Course) |
Type of Module Elective Compulsory |
|---|---|---|
| ECTS | 6 | |
|
Work load - Contact time - Self study |
Workload:
180 h Class time:
60 h / 4 SWS Self study:
120 h |
|
| Duration | 1 Semester | |
| Frequency | In the winter semester | |
| Language of instruction | German | |
| Type of Exam | To be announced. |
|
| Lecture type(s) | Practical Course | |
| Content | Implementation of programs with algorithms from the field of machine learning. |
|
| Objectives | Students can independently (in small groups) plan and create programs to solve simple problems in the field of machine learning, applying their theoretical knowledge. |
|
| Allocation of credits / grading |
Type of Class
Status
SWS
Credits
Type of Exam
Exam duration
Evaluation
Calculation
of Module (%) |
|
| Prerequisite for participation | There are no specific prerequisites. | |
| Lecturer / Other | Schilling | |
| Literature | - |
|
| Last offered | unknown | |
| Planned for | Wintersemester 2024 | |
| Assigned Study Areas | BIOINFM2510, INFM2510, INFM3110, MDZINFM2510, MEINFM3210 | |