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Computational Biology



#40377 / #1

SS 2014 - SS 2014

Fakultät IV

MAR 5-1

Institut für Technische Informatik und Mikroelektronik

34341700 FG Robotik und Bioinformatik

Brock, Oliver

Putz, Ines

POS-Nummer PORD-Nummer Modultitel
61870 23187 Computational Biology

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. The course is principally designed to impart technical skills 40x, method skills 40x system skills 10x social skills 10x


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

Module Components


All Courses are mandatory.

Course Name Type Number Cycle Language SWS
Computational Biology VL 0433 L 410 WS No information 2
Computational Biology UE 0433 L 411 WS No information 2

Workload and Credit Points

Computational Biology (VL):

Workload description Multiplier Hours Total
Pre- and prostpreparation 15.0 2.0h 30.0h
Presence in lectures 15.0 2.0h 30.0h
60.0h(~2 LP)

Computational Biology (UE):

Workload description Multiplier Hours Total
Assignments 15.0 4.0h 60.0h
Presence in exercises 15.0 2.0h 30.0h
90.0h(~3 LP)

Course-independent workload:

Workload description Multiplier Hours Total
Test preparation 1.0 30.0h 30.0h
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

Course consists of lecture and applied programming exercises.

Requirements for participation and examination

Desirable prerequisites for participation in the courses:

Good C++ programming skills are required! No prior knowledge of biology is needed. 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:

No information

Module completion



Type of exam

Portfolio examination

Type of portfolio examination

No information



Test elements

Name Categorie Duration/Extent
Assignments 50 No information
Written Test 50 No information

Grading scale

No grading scale given

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:

Maximum Number of Participants

The maximum capacity of students is 40.

Registration Procedures

See 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


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 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


No information