Module Handbook

  • Dynamischer Default-Fachbereich geändert auf INF

Module INF-75-72-M-7

Reinforcement Learning Reading Course (Seminar) (M, 4.0 LP, AUSL)

Module Identification

Module Number Module Name CP (Effort)
INF-75-72-M-7 Reinforcement Learning Reading Course (Seminar) 4.0 CP (120 h)

Basedata

CP, Effort 4.0 CP = 120 h
Position of the semester 1 Sem. in WiSe
Level [7] Master (Advanced)
Language [EN] English
Module Manager
Lecturers
Area of study [INF-KI] Intelligent Systems
Reference course of study [INF-88.79-SG] M.Sc. Computer Science
Livecycle-State [AUSL] Phase-out period

Courses

Type/SWS Course Number Title Choice in
Module-Part
Presence-Time /
Self-Study
SL SL is
required for exa.
PL CP Sem.
2S INF-75-72-K-7
Reinforcement Learning Reading Course (Seminar)
P 28 h 92 h
PRAES
- PL1 4.0 WiSe
  • About [INF-75-72-K-7]: Title: "Reinforcement Learning Reading Course (Seminar)"; Presence-Time: 28 h; Self-Study: 92 h
  • About [INF-75-72-K-7]: The study achievement "[PRAES] presentation" must be obtained.

Evaluation of grades

The module is not graded (only study achievements)..


Contents

Topics are flexible and according to student interests.

Competencies / intended learning achievements

After successfully completing the module, students will be able to
  • to become familiar with a special topic in the area of reinforcement learning,
  • compile relevant literature on the chosen topic complex on their own,
  • to dive into a technically and scientifically challenging topic,
  • to provide a critical opinion on certain scientific results,
  • to understand the chosen topic in the research context and to differentiate it appropriately,
  • to present the results formally correct, structured and focused in a written elaboration,
  • to follow scientific presentations and to ask relevant questions,
  • write independently a research manuscript about the chosen topic,
  • to present scientific topics in an appealing and motivating style,
  • to assess one's own scope and responsibility and - if necessary - to obtain specific information, to define priorities, to define tasks, to develop solutions and to monitor one's own progress,
  • to present and discuss a scientific question in English.

Requirements for attendance of the module (informal)

None

Requirements for attendance of the module (formal)

None

References to Module / Module Number [INF-75-72-M-7]

Course of Study Section Choice/Obligation
[INF-88.79-SG] M.Sc. Computer Science [Specialisation] Specialization 1 [WP] Compulsory Elective