Module Number ML-4303 |
Module Title Convex and Nonconvex Optimization |
Lecture Type(s) Lecture, Tutorial |
---|---|---|
ECTS | 9 | |
Work load - Contact time - Self study |
Workload:
270 h Class time:
90 h / 6 SWS Self study:
180 h |
|
Duration | 1 Semester | |
Frequency | Irregular | |
Language of instruction | English | |
Type of Exam | Written exam (in case of a small number of participants: oral tests) |
|
Content | Convex optimization problems arise quite naturally in many application areas |
|
Objectives | Students learn the foundations of convex analysis and how to formulate and |
|
Allocation of credits / grading |
Type of Class
Status
SWS
Credits
Type of Exam
Exam duration
Evaluation
Calculation
of Module (%)
Lecture
V
o
4
6.0
wt
90
100
Tutorial
Ü
o
2
3.0
|
|
Prerequisite for participation | There are no specific prerequisites. | |
Lecturer / Other | Hein | |
Literature | The lecture does not follow a specific book. The literature for this lecture will |
|
Last offered | Sommersemester 2022 | |
Planned for | --- | |
Assigned Study Areas | INFO-INFO, INFO-THEO, MEDI-APPL, MEDI-INFO, ML-CS, ML-DIV |