040767 UK Decision Support (2018W)
Continuous assessment of course work
Labels
Registration/Deregistration
Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).
- Registration is open from Mo 10.09.2018 09:00 to Th 20.09.2018 12:00
- Deregistration possible until Mo 15.10.2018 23:59
Details
max. 35 participants
Language: German
Lecturers
Classes (iCal) - next class is marked with N
Monday
01.10.
13:15 - 14:45
Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
Monday
08.10.
13:15 - 14:45
Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
Monday
15.10.
13:15 - 14:45
Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
Thursday
18.10.
11:30 - 13:00
Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
Monday
22.10.
13:15 - 14:45
Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
Monday
29.10.
13:15 - 14:45
Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
Monday
05.11.
13:15 - 14:45
Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
Monday
12.11.
13:15 - 14:45
Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
Monday
19.11.
13:15 - 14:45
Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
Monday
26.11.
13:15 - 14:45
Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
Monday
03.12.
13:15 - 14:45
Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
Monday
10.12.
13:15 - 14:45
Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
Monday
07.01.
13:15 - 14:45
Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
Monday
14.01.
13:15 - 14:45
Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
Monday
21.01.
13:15 - 14:45
Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
Monday
28.01.
13:15 - 14:45
Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
Information
Aims, contents and method of the course
This lecture provides an overview on formal methods for decision support. Basic methods and techniques from mathematical optimization such as linear programming (LP), non-linear programming (NLP), and integer programming (IP) are discussed.
Assessment and permitted materials
Written tests (midterm, endterm), homeworks whose solutions will be presented by students in class, as well as an (optional) project.
Mandatory attendance in the first lecture!
Mandatory attendance in the first lecture!
Minimum requirements and assessment criteria
Knowledge of basic methods from the covered areas as well as the ability to model and solve simplified real-world examples by means of mathematical programming.
Examination topics
Lecture notes and further content discussed in the lecture.
Reading list
Lecture notes (including additional references) as well as additional exercises will be provided via moodle.
Association in the course directory
Last modified: Mo 07.09.2020 15:29