Moses - Applied Artificial Intelligence Project

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Diese Modulbeschreibung gilt nicht im aktuellen Semester.

Die Modulbeschreibung gilt nur für den Zeitraum SS 2018 - SoSe 2022. Die Version für das aktuelle Semester (SoSe 2024) finden Sie hier: Modulbeschreibung des SoSe 2024

Module / Version:
#40889 / #1

Validity:
SS 2018 - SoSe 2022

Default display language:
English

Module title:
Applied Artificial Intelligence Project

Credits:
9

Responsible person:
Albayrak, Sahin

Grading:
benotet

Type of exam:
Portfolioprüfung

Zugehörigkeit

Faculty:
Fakultät IV

Institute:
Institut für Wirtschaftsinformatik und Quantitative Methoden

Area of expertise:
34361200 FG Agententechnologien in betrieblichen Anwendungen und der Telekommunikation (AOT)

Prüfungsausschuss:
No information

Kontakt

Office:
TEL 14

Contact person:
Xu, Yuan

E-mail address:
dai-labor-lehre@lists.tu-berlin.de

Website:

https://www.aot.tu-berlin.de/index.php?id=2889

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

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

Pflichtgruppe:

All Courses are mandatory.

Course Name	Type	Number	Cycle	Language	SWS	VZ
Applied Artificial Intelligence Project	PJ	0435 L 797	WiSe/SoSe	No information	4

Workload and Credit Points

Applied Artificial Intelligence Project (PJ):

Workload description	Multiplier	Hours	Total
Attendance	15.0	4.0h	60.0h
Pre/post processing	15.0	14.0h	210.0h
			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

Grading

graded

Type of exam

Portfolio examination

Type of portfolio examination

100 Punkte insgesamt

Language

German

Test elements

Name	Points	Categorie	Duration/Extent
Final Presentation	20	oral	1 hour
Milestone Presentation	10	oral	1 hour
Project Results	50	practical	13 weeks
Requirements Specification	10	written	approx. 10 pages
Status Reports	10	flexible	0.5 hours per week

Grading scale

Notenschlüssel »Notenschlüssel 2: Fak IV (2)«

Gesamtpunktzahl	1.0	1.3	1.7	2.0	2.3	2.7	3.0	3.3	3.7	4.0
100.0pt	95.0pt	90.0pt	85.0pt	80.0pt	75.0pt	70.0pt	65.0pt	60.0pt	55.0pt	50.0pt

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 literature
No recommended literature given

Assigned Degree Programs

Semester:

Zeige auch ausgelaufene Studiengänge und StuPOs

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

	Studiengang / StuPO	StuPOs	Verwendungen	Erste Verwendung	Letzte Verwendung
This module is not used in any degree program.

Miscellaneous