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#40889 / #2

Seit WiSe 2022/23

English

Applied Artificial Intelligence Project

9

Albayrak, Sahin

benotet

Portfolioprüfung

Zugehörigkeit


Fakultät IV

Institut für Wirtschaftsinformatik und Quantitative Methoden

34361200 FG Agententechnologien in betrieblichen Anwendungen und der Telekommunikation (AOT)

No information

Kontakt


TEL 14

Xu, Yuan

sahin.albayrak@tu-berlin.de

Learning Outcomes

After successfully finishing this module, the participating students have • well-founded knowledge in an application domain • hands-on experiences in applying methods from the field of Artificial Intelligence to challenging problems of the future society • improved their capacity for teamwork and competence in project management • improved presentation and writing skills

Content

In this module, the students learn to apply general programming techniques as well as artificial intelligence methods in a competitive setting. Here, the application of artificial intelligence comprises symbolic as well as sub-symbolic approaches. The competitive environment is given through the participation in external competitions or course internal competitions amongst the student groups depending on the particular semester schedule. Particularly, students will explore the challenges of autonomous driving in a small scale flavor using simulation environments as well as small scale cars equipped with all relevant sensor perception. Specific applications encompass obstacle avoidance, autonomous racing, cooperation maneuver like convoying, prediction of others, multi-agent teamwork.

Module Components

Pflichtgruppe:

All Courses are mandatory.

Course NameTypeNumberCycleLanguageSWSVZ
Applied Artificial Intelligence ProjectPJ0435 L 797WiSe/SoSeNo information4

Workload and Credit Points

Applied Artificial Intelligence Project (PJ):

Workload descriptionMultiplierHoursTotal
Attendance15.04.0h60.0h
Pre/post processing15.014.0h210.0h
270.0h(~9 LP)
The Workload of the module sums up to 270.0 Hours. Therefore the module contains 9 Credits.

Description of Teaching and Learning Methods

Project work within small groups, weekly project meetings, milestones, requirements specification, implementation, evaluation, documentation, presentation of results.

Requirements for participation and examination

Desirable prerequisites for participation in the courses:

Fundamental programming experience, basic knowledge about robotics or automation, fundamental knowledge in artificial intelligence (symbolic and/or sub-symbolic)

Mandatory requirements for the module test application:

This module has no requirements.

Module completion

Grading

graded

Type of exam

Portfolio examination

Type of portfolio examination

100 Punkte insgesamt

Language

German

Test elements

NamePointsCategorieDuration/Extent
Design25written2 weeks / 10 pages (approx.)
Evaluation and documentation25written2 weeks / 10 pages (approx.)
Final Presentation and Review20oral90 min.
Implementation and Test30practical5 weeks

Grading scale

Notenschlüssel »Notenschlüssel 2: Fak IV (2)«

Gesamtpunktzahl1.01.31.72.02.32.73.03.33.74.0
100.0pt95.0pt90.0pt85.0pt80.0pt75.0pt70.0pt65.0pt60.0pt55.0pt50.0pt

Test description (Module completion)

No information

Duration of the Module

The following number of semesters is estimated for taking and completing the module:
1 Semester.

This module may be commenced in the following semesters:
Winter- und Sommersemester.

Maximum Number of Participants

The maximum capacity of students is 20.

Registration Procedures

QISPOS registration as well as according to the specific examination regulations (Prüfungsordnung). Additionally, the registration on the ISIS course page is required prior to the start of the semester.

Recommended reading, Lecture notes

Lecture notes

Availability:  unavailable

 

Electronical lecture notes

Availability:  unavailable

 

Literature

Recommended literature
No recommended literature given

Assigned Degree Programs


This module is used in the following Degree Programs (new System):

Studiengang / StuPOStuPOsVerwendungenErste VerwendungLetzte Verwendung
Computer Engineering (M. Sc.)18WiSe 2022/23SoSe 2024
Computer Science (Informatik) (M. Sc.)18WiSe 2022/23SoSe 2024
Elektrotechnik (M. Sc.)14WiSe 2022/23SoSe 2024
ICT Innovation (M. Sc.)18WiSe 2022/23SoSe 2024
Information Systems Management (Wirtschaftsinformatik) (M. Sc.)14WiSe 2022/23SoSe 2024
Medieninformatik (M. Sc.)14WiSe 2022/23SoSe 2024
Medientechnik (M. Sc.)14WiSe 2023/24SoSe 2024
Physikalische Ingenieurwissenschaft (M. Sc.)28WiSe 2022/23SoSe 2024
Wirtschaftsingenieurwesen (M. Sc.)14WiSe 2022/23SoSe 2024

Miscellaneous

No information