Techniques in Artificial Intelligence
Module IN2062
This module handbook serves to describe contents, learning outcome, methods and examination type as well as linking to current dates for courses and module examination in the respective sections.
Module version of SS 2015 (current)
There are historic module descriptions of this module. A module description is valid until replaced by a newer one.
Whether the module’s courses are offered during a specific semester is listed in the section Courses, Learning and Teaching Methods and Literature below.
available module versions | |
---|---|
SS 2015 | WS 2011/2 |
Basic Information
IN2062 is a semester module in German or English language at Bachelor’s level and Master’s level which is offered in winter semester.
This Module is included in the following catalogues within the study programs in physics.
- Focus Area Imaging in M.Sc. Biomedical Engineering and Medical Physics
- Catalogue of non-physics elective courses
Total workload | Contact hours | Credits (ECTS) |
---|---|---|
150 h | 60 h | 5 CP |
Content, Learning Outcome and Preconditions
Content
- design principles and specification mechanisms for rational agents;
- problem solving using heuristic search: heuristic search techniques, optimizing search;
- problem solving using knowledge-based techniques: logic and inference techniques; reasoning about space and time; representation of ontologies; representation and reasoniong in the common sense world;
- problem solving using uncertain knowledge and information: basic concepts of probability and decision theory; Bayesian Networks; planning with Markov decision problems;
- action planning: automatic generation of partially ordered action plans; planning and execution;
- machine learning: learning decision trees; inductive learning; probably approximately correct learning; reinforcement learning.
Learning Outcome
Examples are search algorithms, methods of logical inference, as well as computation of state probabilities of Bayesian networks and hidden Markov models.
Preconditions
Courses, Learning and Teaching Methods and Literature
Courses and Schedule
Type | SWS | Title | Lecturer(s) | Dates | Links |
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VI | 4 | Techniques in Artificial Intelligence (IN2062) | Althoff, M. Kochdumper, N. Koschi, M. Miller, C. |
Fri, 13:00–14:30, MW 2001 Wed, 14:00–16:00, MI HS1 Wed, 11:00–12:00, MI 03.07.023 and singular or moved dates |
eLearning documents |
Learning and Teaching Methods
Media
Literature
Module Exam
Description of exams and course work
A collection of formulas and tables required to solve the given problems is provided. Students are only allowed to bring pens and a calculator (non-progammable). The questions require to solve problems mathematically and to answer questions in natural language.
Exam Repetition
The exam may be repeated at the end of the semester.
Current exam dates
Currently TUMonline lists the following exam dates. In addition to the general information above please refer to the current information given during the course.
Title | |||
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Time | Location | Info | Registration |
Techniques in Artificial Intelligence | |||
Wed, 2021-03-31, 14:15 till 15:45 | elektronische Übungsleistung https://www.tum.de/die-tum/aktuelles/coronavirus/corona-lehre-pruefungen/ | till 2021-03-22 (cancelation of registration till 2021-03-24) |