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Swarm Intelligence and its practical application *

Name of module: Swarm Intelligence and its practical application *

Exam number: 6615

Semester/Trimester: Semester

Duration of the module: Ein Semester

Form of the module (i.e. obligatory, elective course): Wahlpflicht

Frequency of module offer: Winter semester 2009/2010

Prerequisites: Zulassung zum Masterstudium.

Applicability of module for other modules and study programmes:
als T-Modul im Track "IOM"

Person responsible for module: Prof. Dr. Dr. h.c. Knut Richter

Name of the professor: Prof. Dr. Dr. h.c. Knut Richter, Dr. Grigory Pishchulov, Dipl.-Kfm. Stephan Haensch und Prof. Dr. Irena Okhrin

Language of teaching: Englisch

ECTS-Credits (based on the workload): 7 (Masterseminar)

Workload and its composition (self-study, contact time):
Masterseminar: Kontaktzeit (Vorlesung, Übung, Seminar etc.) 60 Std.; Selbststudium: 150 Std.

Contact hours (per week in semester): 4

Methods and duration of examination:
Grades will be based on both the individual students’ performance in carrying out and presenting an application-oriented project work and a one-hour written test on selected chapters from the Management Science course (module IOM X, see below). Students willing to complete both the master’s seminar and the IOM X module need to fulfil the requirements for them both; however, additional requirements may apply. The interested students are asked to contact Prof. Richter at the beginning of the term.

Emphasis of the grade for the final grade: 2/29 (Masterseminar)

Aim of the module (expected learning outcomes and competencies to be acquired):
Result-oriented project work.

Contents of the module:
The master seminar has its focus on the application of the well-established Swarm Intelligence (SI) approaches to elaborate highly innovative strategies for successful business and policy as well as for solving complex real-world optimization problems. These novel approaches are nature-inspired and mimic the collective and self-organized behaviour of individuals in a real-world system. The students are expected to acquire knowledge about the basics of SI and its application to various problems of decision making, algorithmic problem solving and modelling. The application of SI to the Internet based innovation management and power mobilization of stakeholders will be another important focus of the seminar. An introduction to the topic will be given in the Management Science classes (module IOM X); the students are also invited to attend classes in this module covering two additional chapters of their own choice since this will be a part of the written test. Further the students will prepare projects on exploring and developing the SI markets (application to all stages of the product life cycle), apply their findings in real business settings and finally present their work in the class.

Teaching and learning methods:
Lectures, project work, presentation of projects

Additional feature:
Working with real-world companies

Literature (compulsory reading, recommended literature):
Bonabeau, E., M. Dorigo, G. Theraulaz: Swarm Intelligence: From Natural to Artificial Systems. Oxford Univ. Press, 1999.
Engelbrecht, A.: Fundamentals of Computational Swarm Intelligence, 2nd ed., Wiley & Sons, 2007.
Kennedy, J., R. C. Eberhart, Y. Shi: Swarm Intelligence. Morgan Kaufmann, 2001.