Module details

M1101-CMS117  Foundations of Artificial Intelligence

Module Owner: Prof. Dr. rer. pol. Markus Krötzsch
Displayed in timetable as: CMS-COR-FAI
Duration: 2
Number of electives: 0
Credits: 5,0
Start Semester: WiSe 2020/21
Lecturer Responsible Prof. Dr. Markus Krötzsch
markus.kroetzsch@tu-dresden.de
Qualification Goals Upon completion of the module, students will have an overview of important sub-areas of artificial intelligence and master various fundamental methods to solve typical problems in this field. They know why many of these problems are difficult to solve and can assess which approach is promising in each case. 
Content Fundamental concepts of artificial intelligence; methods for solving search and optimisation problems (e.g. gradient methods); modelling of problems (e.g. constraint satisfaction problems); algorithms and techniques for increasing efficiency (e.g. structural decomposition).
Forms of Teaching and Learning The module consists of 2 weekly lectures and 2 weekly practicals, plus independent study.
Prerequisites for Participation Fundamental knowledge of theoretical computer science and mathematical logic at bachelor level is required.
Students can prepare for the module with the following literature:
Sipser, Michael: Introduction to the Theory of Computation, International Edition, 3rd ed., Cengage Learning, 2013
Applicability In the Computational Modelling and Simulation Master's programme, the module is one of ten compulsory elective modules (for students of Computational Life Science: nine), of which three must be chosen.
Prerequisites for the Assignment of Credit Points The credit points are awarded if the module examination is passed. The module examination consists of a 90-minute written examination. If there are fewer than 10 students registered at the end of the registration period, the written examination can be replaced by an oral examination as an individual examination lasting 30 minutes; if this is the case, this will be announced to the registered students at the end of the registration period.
Credit Points and Grades 5 credit points can be earned by completing this module. The module grade corresponds to the examination grade.
Frequency of Offer The module is offered in each winter semester.
Workload The workload is 150 hours in total.
Duration of Module The module takes one semester to complete.
Module Number Module Handbook TU Dresden CMS-COR-FAI

Registration periods

Phase Block Register from | to End cancellation
Ohne Auswahlverfahren Vorlesungszeit 04.10.2020 00:00 | 15.12.2020 00:00 02.02.2021 00:00

Courses

Number Name Semester  
K1107-MA0056V Advanced Problem Solving and Search (L) 1  
K1107-MA0056V Problem Solving and Search in AI (L) WiSe 2020/21
K1107-MA0056V Problem Solving and Search in Artificial Intelligence (L) SuSe 2021
K1107-MA0056Ü Advanced Problem Solving and Search (E) 1  
K1107-MA0056Ü Problem Solving and Search in AI (E) WiSe 2020/21
K1107-MA0056Ü Problem Solving and Search in Artificial Intelligence (E) SuSe 2021

Requirements

Course / Final module requirements Requirements Compulsory pass Weighting
Final module requirements Written Examination/Oral Assessment Foundations of Artificial Intelligence Yes 1