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Computational Biology: Current Topics

3 LP

English

#40378 / #3

SS 2016 - WS 2016/17

Fakultät IV

MAR 5-1

Institut für Technische Informatik und Mikroelektronik

34341700 FG Robotik und Bioinformatik

Brock, Oliver

Mabrouk, Mahmoud

lehre@robotics.tu-berlin.de

POS-Nummer PORD-Nummer Modultitel
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Learning Outcomes

Acquisition of deeper knowledge in current research topics of computational biology . Students will be able to search relevant actual literature to a given topic, write a paper in journal style and present their results in a talk.

Content

Course with changing content in the area of computational biology and related research fields, e. g. Protein Folding, Protein Motion, Protein Design, Protein Structure Prediction, Molecular Dynamics, Normal Model Analysis, Rigidity / Constraint Theory, Articulated Body Motion, Robot Motion Planning, Probabilistic Models and Machine Learning in Computational Biology.

Module Components

Pflichtteil:

All Courses are mandatory.

Course Name Type Number Cycle Language SWS
Computational Biology: Current Topics SEM 0433 L 419 SS No information 2

Workload and Credit Points

Computational Biology: Current Topics (SEM):

Workload description Multiplier Hours Total
Literature research 1.0 20.0h 20.0h
Presence in lectures 15.0 2.0h 30.0h
Talk preparation 1.0 20.0h 20.0h
Written report 1.0 20.0h 20.0h
90.0h(~3 LP)
The Workload of the module sums up to 90.0 Hours. Therefore the module contains 3 Credits.

Description of Teaching and Learning Methods

Seminar with active participation of the students.

Requirements for participation and examination

Desirable prerequisites for participation in the courses:

Computational Biology module or comparable prior knowledge.

Mandatory requirements for the module test application:

No information

Module completion

Grading:

graded

Type of exam:

Portfolio examination

Language:

English

Type of portfolio examination

No information

Test elements

Name Categorie Duration/Extent
(Deliverable assessment) Presentation 50 No information
(Deliverable assessment) Written Report 50 No information

Grading scale

No grading scale given

Test description (Module completion)

Die Gesamtnote gemäß § 47 (2) AllgStuPO wird nach dem Notenschlüssel 2 der Fakultät IV ermittelt.

Duration of the Module

This module can be completed in one semester.

Maximum Number of Participants

The maximum capacity of students is 12.

Registration Procedures

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

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:

Master students in Computer Science / Focus Intelligent Systems Master students in Computer Engineering / Focus Information Systems Master students in Computer Engineering StO/PO 2012: Focus Cognitive Systems and Robotics, Computer Science Focus Information Systems, Computer Science

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

    Master students in Computer Science / Focus Intelligent Systems Master students in Computer Engineering / Focus Information Systems Master students in Computer Engineering StO/PO 2012: Focus Cognitive Systems and Robotics, Computer Science Focus Information Systems, Computer Science

    Miscellaneous

    No information