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Computational Biology



#40377 / #7

Seit WS 2019/20

Fakultät IV

MAR 5-1

Institut für Technische Informatik und Mikroelektronik

34341700 FG Robotik und Bioinformatik

Brock, Oliver

Stahl, Kolja

POS-Nummer PORD-Nummer Modultitel
61870 23187 Computational Biology

Learning Outcomes

Students will gain the necessary background knowledge in molecular and cell biology 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. After completing the course, students will be able to critically assess and use established concepts and methods as well as novel ones.


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


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
Preparation and review 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
Exam 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

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. Python and 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:

No information

Module completion



Type of exam

Portfolio examination

Type of portfolio examination

100 points in total



Test elements

Name Points Categorie Duration/Extent
(Deliverable assessment) 5 Assignments 50 practical 1-5 pages of text and code per assignment
(Examination) Written Exam 50 written 75

Grading scale

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 32.

Registration Procedures

See 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


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):

Verwendungen (1)
Studiengänge: 1 Stupos: 1 Erstes Semester: SoSe 2020 Letztes Semester: WS 2021/22

This moduleversion is used in the following modulelists:

Master students in Computer Science StO/PO 2010/ Focus Intelligent Systems Master students in Computer Science StO/PO 2016 / Focus Cognitive 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


No information