Computational Biology Project

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Computational Biology Project

9 LP

English

#40091 / #5

SoSe 2020 - WS 2020/21

Fakultät IV

MAR 5-1

Institut für Technische Informatik und Mikroelektronik

34341700 FG Robotik und Bioinformatik

Brock, Oliver

Stahl, Kolja

oliver.brock@tu-berlin.de

http://www.robotics.tu-berlin.de/

POS-Nummer PORD-Nummer Modultitel
2346582 37868 Computational Biology Project

Learning Outcomes

Acquisition of deeper knowledge in current research topics of computational biology; the projects are closely linked to research activities which are conducted in the robotics and biology lab (RBO).

Content

Projects with changing content in the area of computational biology with a strong focus on research. Subjects may include for example: protein structure prediction, protein-protein interactions, protein design, machine learning, fast-fourier transformation.

Module Components

Pflichtgruppe:

All Courses are mandatory.

Course Name Type Number Cycle Language SWS
Computational Biology: Project PJ SS No information 6

Workload and Credit Points

Computational Biology: Project (PJ):

Workload description Multiplier Hours Total
Implementation 1.0 150.0h 150.0h
Literature research, concept design 1.0 60.0h 60.0h
Presence 15.0 2.0h 30.0h
Presentations 1.0 15.0h 15.0h
Written reports 1.0 15.0h 15.0h
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:

Course Computational Biology of the chair visited or comparable prior knowledge.

Mandatory requirements for the module test application:

1. Requirement:
Modul40377 (Computational Biology) passed

Module completion

Grading:

graded

Type of exam:

Portfolio examination

Language:

English

Typ of portfolio examination

100 points in total

Test elements

Name Points Categorie Duration/Extent
(Deliverable Assessment) 2 Presentations 25 oral 20 minute presentations mid and at end of the semester
(Deliverable Assessment) Implementation 25 practical Documented Source Code
(Deliverable Assessment) Scientific Report 25 written 3-4 pages report
(Deliverable Assessment) Technical Documentation 25 written Documentation of the source code and its usage

Grading scale

1.01.31.72.02.32.73.03.33.74.0
95.090.085.080.075.070.065.060.055.050.0

Test description (Module completion)

No information

Duration of the Module

This module can be completed in one semester.

Maximum Number of Participants

The maximum capacity of students is 9.

Registration Procedures

See http://www.robotics.tu-berlin.de/menue/teaching/ . Registration for the exam in compliance with the regulations; 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

Zurzeit wird die Datenstruktur umgestellt. Aus technischen Gründen wird die Verwendung des Moduls während des Umstellungsprozesses in zwei Listen angezeigt.

This module is used in the following modulelists:

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

    Miscellaneous

    Target group of module: Master students in Computer Science/ Focus Intelligent Systems Master students in Computer Science StO/PO 2016 / Focus Cognitive Systems Master students in Computer Engineering/ Focus Information Systems Master students in Computer Engineering StO/PO 2014: Focus Cognitive Systems and Robotics, Computer Science Focus Information Systems, Computer Science