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#41017 / #1

Seit WiSe 2020/21

English

Learning and Intelligent Systems: Project

9

Toussaint, Marc

benotet

Portfolioprüfung

Zugehörigkeit


Fakultät IV

Institut für Technische Informatik und Mikroelektronik

34342100 FG Intelligent Systems

No information

Kontakt


MAR 4-4

Toussaint, Marc

office@lis.tu-berlin.de

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 NameTypeNumberCycleLanguageSWSVZ
Learning and Intelligent Systems: ProjectProjektWiSeEnglish6

Workload and Credit Points

Learning and Intelligent Systems: Project (Projekt):

Workload descriptionMultiplierHoursTotal
Attendance15.06.0h90.0h
Pre/post processing15.012.0h180.0h
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

NamePointsCategorieDuration/Extent
(Deliverable assessment) Final project presentation25oral30 minutes
(Deliverable assessment) Scientific report25written6-8 pages
(Learning process review) Quality, extent, and innovation of the concept and implementation50practicalcomplete project

Grading scale

Notenschlüssel »Notenschlüssel 4: Fak I, Fak VII«

Gesamtpunktzahl1.01.31.72.02.32.73.03.33.74.0
100.0pt90.0pt85.0pt80.0pt76.0pt72.0pt67.0pt63.0pt59.0pt54.0pt50.0pt

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:
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 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.)132WiSe 2020/21SoSe 2024
Computer Science (Informatik) (M. Sc.)116WiSe 2020/21SoSe 2024
Elektrotechnik (M. Sc.)124WiSe 2020/21SoSe 2024

Miscellaneous

No information