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SS 2018 - SoSe 2022


Applied Artificial Intelligence Project


Albayrak, Sahin




Fakultät IV

Institut für Wirtschaftsinformatik und Quantitative Methoden

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

No information


TEL 14

Xu, Yuan


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


This module addresses challenges in one of the following domains with accompanying topics, such as: eGovernment: exploitation of Linked Open Data, application of enterprise management systems in administration offices, analysis of Big Data for the improvement of public services. Energy: energy patterns in households or the operation of smart micro grids. Industry 4.0, in combination with cyberphysical systems and the Internet of Things. Health care and Abient Assisted Living: diagnosis, surveillance, and information services based on sensor data or the analysis of social media streams. Logistics and Transport: traffic flow analysis and forecasting, and control; car sharing; intermodal public transport routing.

Module Components


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
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

Mandatory requirements for the module test application:

This module has no requirements.

Module completion



Type of exam

Portfolio examination

Type of portfolio examination

100 Punkte insgesamt



Test elements

Final Presentation20oral1 hour
Milestone Presentation10oral1 hour
Project Results50practical13 weeks
Requirements Specification10writtenapprox. 10 pages
Status Reports10flexible0.5 hours per week

Grading scale

Notenschlüssel »Notenschlüssel 2: Fak IV (2)«


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



Recommended literature
No recommended literature given

Assigned Degree Programs

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

Studiengang / StuPOStuPOsVerwendungenErste VerwendungLetzte Verwendung
This module is not used in any degree program.


No information