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#40377 / #3

WS 2015/16 - WS 2015/16

English

Computational Biology

6

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

The module conveys the necessary background knowledge in molecular and cell biology for students to conduct research in the area of computational structural biology. Special emphasis is given to topics in the intersection of computer science and molecular biology. The course introduces relevant algorithms and concepts from computational biology, computer science, robotics, optimization, etc.

Content

Search and optimization, molecular biology, DNA, RNA, protein structure prediction, dynamic programming, cellular biology, statistics, probabilistic models, bioinformatics, genomics, proteomics, protein folding, protein motion, protein docking, protein design, robotics motion planning.

Module Components

Pflichtteil:

All Courses are mandatory.

Course NameTypeNumberCycleLanguageSWSVZ
Computational BiologyVL0433 L 410WiSeNo information2
Computational BiologyUE0433 L 411WiSeNo information2

Workload and Credit Points

Computational Biology (VL):

Workload descriptionMultiplierHoursTotal
Preparation and review15.02.0h30.0h
Presence in lectures15.02.0h30.0h
60.0h(~2 LP)

Computational Biology (UE):

Workload descriptionMultiplierHoursTotal
Assignments15.04.0h60.0h
Presence in exercises15.02.0h30.0h
90.0h(~3 LP)

Course-independent workload:

Workload descriptionMultiplierHoursTotal
Exam preparation1.030.0h30.0h
30.0h(~1 LP)
The Workload of the module sums up to 180.0 Hours. Therefore the module contains 6 Credits.

Description of Teaching and Learning Methods

The course consists of lectures and applied programming exercises.

Requirements for participation and examination

Desirable prerequisites for participation in the courses:

No prior knowledge of biology is needed. C++ knowledge is required! Bachelor degree in relevant field of study; Bachelor students in 7th semester of "Technische Informatik" can register after consultation with the professor.

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
Assignments50No informationNo information
Written exam50No informationNo information

Grading scale

No information

Test description (Module completion)

Grading Scheme: > 99: 1.0 > 98: 1.3 > 97: 1.7 > 96: 2.0 > 95: 2.3 > 94: 2.7 > 93: 3.0 > 92: 3.3 > 91: 3.7 > 90: 4.0 < 90: 5.0 Please see the course ISIS page for an explanation to this grading scheme.

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 40.

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 lecture.

Recommended reading, Lecture notes

Lecture notes

Availability:  unavailable

 

Electronical lecture notes

Availability:  unavailable

 

Literature

Recommended literature
Amit Kessel, Nir Ben-Tal. Introduction to Proteins: Structure, Function, and Motion, 2011.
Market Zvelebil, Jeremy O. Baum. Understanding Bioinformatics. Taylor & Francis Ltd., 2008.
Tamar Schlick. Molecular Modeling and Simulation: An Interdisciplinary Guide Springer, 2010.

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.
Master students in Computer Science / Focus Intelligent 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

Miscellaneous

No information