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#40091 / #1

SS 2015 - WS 2015/16

English

Computational Biology Project

9

Brock, Oliver

benotet

Portfolioprüfung

Zugehörigkeit


Fakultät IV

Institut für Technische Informatik und Mikroelektronik

34341700 FG Robotik und Bioinformatik

No information

Kontakt


MAR 5-1

Stahl, Kolja

oliver.brock@tu-berlin.de

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 NameTypeNumberCycleLanguageSWSVZ
Computational Biology: ProjectPJSoSeNo information6

Workload and Credit Points

Computational Biology: Project (PJ):

Workload descriptionMultiplierHoursTotal
Implementation1.0150.0h150.0h
Literature research, concept design1.060.0h60.0h
Presence15.02.0h30.0h
Presentations1.015.0h15.0h
Written reports1.015.0h15.0h
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:

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

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

No information

Language

English

Test elements

NamePoints/WeightCategorieDuration/Extent
Implementation25No informationNo information
Presentation of the project (during the semester and final presentation)25No informationNo information
Scientific report25No informationNo information
Technical documentation25No informationNo information

Grading scale

No information

Test description (Module completion)

The grading scheme (Notenschlüssel) number 2 of the faculty IV will be used.

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:
Sommersemester.

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

This module is not used in any degree program.

Miscellaneous

Target group of module: Master students in Computer Science/ Focus Intelligent Systems Master students in Computer Engineering/ Focus Information Systems