Moses - Learning and Intelligent Systems: Project

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Module / Version:
#41017 / #1

Validity:
Seit WiSe 2020/21

Default display language:
English

Module title:
Learning and Intelligent Systems: Project

Credits:
9

Responsible person:
Toussaint, Marc

Grading:
benotet

Type of exam:
Portfolioprüfung

Zugehörigkeit

Faculty:
Fakultät IV

Institute:
Institut für Technische Informatik und Mikroelektronik

Area of expertise:
34342100 FG Intelligent Systems

Prüfungsausschuss:
No information

Kontakt

Office:
MAR 4-4

Contact person:
Toussaint, Marc

E-mail address:
office@lis.tu-berlin.de

Website:

https://www.user.tu-berlin.de/mtoussai/teaching/index.html

Learning Outcomes

After attending the module, students have extensive experience with working in a research lab on specific topics of current research in Learning & Intelligent Systems. They have in-depth knowledge and practical understanding of the specific topic they work on during the project. They are capable of conceptualizing a research project, formulating a realistic workplan, and managing the research work autonomously.

Content

Changing topics from Robotics, AI & Machine Learning. Project topics are tightly integrated with the department's research activities.

Module Components

Pflichtgruppe:

All Courses are mandatory.

Course Name	Type	Number	Cycle	Language	SWS	VZ
Learning and Intelligent Systems: Project	PJ		WiSe	English	6

Workload and Credit Points

Learning and Intelligent Systems: Project (PJ):

Workload description	Multiplier	Hours	Total
Attendance	15.0	6.0h	90.0h
Pre/post processing	15.0	12.0h	180.0h
			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 with active participation of the students

Requirements for participation and examination

Desirable prerequisites for participation in the courses:

Courses in AI, Robotics or Machine Learning successfully completed or comparable prior knowledge. In case you didn't attend such courses, the Professor has to approve participation.

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

English

Test elements

Name	Points	Categorie	Duration/Extent
(Deliverable assessment) Final project presentation	25	oral	30 minutes
(Deliverable assessment) Scientific report	25	written	6-8 pages
(Learning process review) Quality, extent, and innovation of the concept and implementation	50	practical	complete project

Grading scale

Notenschlüssel »Notenschlüssel 4: Fak I, Fak VII«

Gesamtpunktzahl	1.0	1.3	1.7	2.0	2.3	2.7	3.0	3.3	3.7	4.0
100.0pt	90.0pt	85.0pt	80.0pt	76.0pt	72.0pt	67.0pt	63.0pt	59.0pt	54.0pt	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:
Wintersemester.

Maximum Number of Participants

The maximum capacity of students is 12.

Registration Procedures

See https://www.user.tu-berlin.de/mtoussai/teaching/index.html Further information is provided in the first course.

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
Computer Engineering (M. Sc.)	1	32	WiSe 2020/21	SoSe 2024
Computer Science (Informatik) (M. Sc.)	1	16	WiSe 2020/21	SoSe 2024
Elektrotechnik (M. Sc.)	1	24	WiSe 2020/21	SoSe 2024

Miscellaneous