Moses - Programming Project in Python

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Diese Modulbeschreibung gilt nicht im aktuellen Semester.

Die Modulbeschreibung gilt nur für den Zeitraum WS 2019/20 - SoSe 2022. Die Version für das aktuelle Semester (SoSe 2024) finden Sie hier: Modulbeschreibung des SoSe 2024

Module / Version:
#40966 / #1

Validity:
WS 2019/20 - SoSe 2022

Default display language:
English

Module title:
Programming Project in Python

Credits:
6

Responsible person:
Sprekeler, Henning

Grading:
unbenotet

Type of exam:
Portfolioprüfung

Zugehörigkeit

Faculty:
Fakultät IV

Institute:
Institut für Softwaretechnik und Theoretische Informatik

Area of expertise:
34352100 FG Modellierung kognitiver Prozesse

Prüfungsausschuss:
No information

Kontakt

Office:
MAR 5-3

Contact person:
Lundt, Felix

E-mail address:
lundt@tu-berlin.de

Website:

https://www.cognition.tu-berlin.de/menue/teaching/

Learning Outcomes

Students will be able to plan and develop a software project in the field of computational neuroscience, artificial intelligence or data science. In the process, they will acquire and/or deepen their knowledge in the respective field and become familiar with standard software development practices, such as version control and automated testing. Finally, they will improve their ability to present and communicate the knowledge and skills acquired during completion of a project.

Content

The topic of the project changes, and is announced at the beginning of the semester. Topics will typically be within the field of computational neuroscience, artificial intelligence or data science. See https://www.cognition.tu-berlin.de/menue/teaching/ for further details.

Module Components

Pflichtgruppe:

All Courses are mandatory.

Course Name	Type	Number	Cycle	Language	SWS	VZ
Programming Project Python	PR	3435 L 10225	WiSe	English	4

Workload and Credit Points

Programming Project Python (PR):

Workload description	Multiplier	Hours	Total
Attendance time	1.0	60.0h	60.0h
Preparation / follow-up	1.0	120.0h	120.0h
			180.0h(~6 LP)

The Workload of the module sums up to 180.0 Hours. Therefore the module contains 6 Credits.

Description of Teaching and Learning Methods

Participants will receive an overview of concepts essential for the project, and ongoing supervision throughout the semester. In addition to developing a working software solution that successfully fulfils project requirements, they will also give three short presentations: 1) A proposal presentation where they summarize their exploratory research and outline their planned software architecture, as well as any technologies or theory they intend to employ. 2) A mid-semester presentation where they demonstrate a working prototype, and describe their plan to successfully complete the project, given the work remaining. 3) A final presentation.

Requirements for participation and examination

Desirable prerequisites for participation in the courses:

Programming skills in Python, or experience in another programming language and a willingness to quickly learn Python. Familiarity with software engineering principles, and object-oriented programming are expected. Knowledge of data structures and algorithms is recommended.

Mandatory requirements for the module test application:

This module has no requirements.

Module completion

Grading

ungraded

Type of exam

Portfolio examination

Type of portfolio examination

100 Punkte insgesamt

Language

English

Test elements

Name	Points	Categorie	Duration/Extent
(Deliverable assessment) Final presentation	20	flexible	~15min (presentation + questions)
(Deliverable assessment) Interim presentation	10	flexible	~15min (presentation + questions)
(Deliverable assessment) Proposal presentation	10	flexible	~15min (presentation + questions)
(Deliverable assessment) Software implementation	60	practical	Project implementation

Grading scale

At least 60 points in total needed to pass.

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 16.

Registration Procedures

Please see: https://www.cognition.tu-berlin.de/menue/teaching/

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