Module Handbook

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Module INF-74-82-M-7

Applications of Statistical Artificial Intelligence (Project) (M, 8.0 LP)

Module Identification

Module Number Module Name CP (Effort)
INF-74-82-M-7 Applications of Statistical Artificial Intelligence (Project) 8.0 CP (240 h)

Basedata

CP, Effort 8.0 CP = 240 h
Position of the semester 1 Sem. in WiSe/SuSe
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 [NORM] Active

Courses

Type/SWS Course Number Title Choice in
Module-Part
Presence-Time /
Self-Study
SL SL is
required for exa.
PL CP Sem.
4L INF-74-82-K-7
Applications of Statistical Artificial Intelligence (Project)
P 56 h 184 h
PRAES
- no 8.0 WiSe/SuSe
  • About [INF-74-82-K-7]: Title: "Applications of Statistical Artificial Intelligence (Project)"; Presence-Time: 56 h; Self-Study: 184 h
  • About [INF-74-82-K-7]: The study achievement "[PRAES] presentation" must be obtained.

Evaluation of grades

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


Contents

  • Possibility to work on current research projects
  • Concrete topic is based on current research projects
  • Signal processing and data evaluation
  • Feature extraction and evaluation of features
  • Applications of methods of supervised and unsupervised learning
  • Methods of evaluation from the data analysis chain

Competencies / intended learning achievements

Upon successful completion of the module, students will be able to
  • divide agreed and self-chosen tasks into subtasks and to work on them together in a cooperative manner,
  • estimate and plan the project effort in detail and to use resources in a goal-oriented way,
  • document and manage work results comprehensively and accurately and to present results
  • present a specialist lecture using suitable media to a heterogeneous specialist audience,
  • lead and moderate a substantiated discussion on the chosen topic from the field of statistical artificial intelligence based on a technical lecture,
  • assess their own scope for action and decision-making and the associated responsibility and, if necessary, obtain targeted information, define priorities, derive tasks, develop solutions and monitor progress
  • recognize misunderstandings and role conflicts in communication situations at an early stage and to contribute to conflict resolution,
  • argue goal-oriented in controversial discussions and to deal with criticism objectively,
  • participate constructively and actively in heterogeneous working groups,
  • represent independent points of view and, if necessary, points of view that differ from others in a very comprehensible way and to argue plausibly and convincingly,
  • lead, guide and motivate a working group frequently
  • lead heterogeneously composed groups responsibly and to represent work results to third parties.
  • develop their own professional, methodological, technological, interdisciplinary, social and personal skills independently.

Literature

will be announced by supervisor depending on concrete needs

Requirements for attendance of the module (informal)

None

Requirements for attendance of the module (formal)

None

References to Module / Module Number [INF-74-82-M-7]

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