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SS 2014 - WS 2014/15

English

Computational Biology: Aktuelle Themen
Computational Biology: Current Topics

3

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

lehre@robotics.tu-berlin.de

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. The course is principally designed to impart technical skills 10%, method skills 50%, presentation skills 30% social skills 10%.

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 NameTypeNumberCycleLanguageSWSVZ
Computational Biology: Current TopicsSEM0433 L 419SoSeNo information2

Workload and Credit Points

Computational Biology: Current Topics (SEM):

Workload descriptionMultiplierHoursTotal
Literature research1.020.0h20.0h
Presence in lectures15.02.0h30.0h
Talk preparation1.020.0h20.0h
Written report1.020.0h20.0h
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:

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
Talk50No informationNo information
Written Report50No informationNo information

Grading scale

No information

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:
Sommersemester.

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


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

Studiengang / StuPOStuPOsVerwendungenErste VerwendungLetzte Verwendung
This module is not used in any degree program.

Students of other degrees can participate in this module without capacity testing.

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