NWI-IMC042
Natural Computing
Course infoSchedule
Course moduleNWI-IMC042
Credits (ECTS)6
CategoryMA (Master)
Language of instructionEnglish
Offered byRadboud University; Faculty of Science; Informatica en Informatiekunde;
Lecturer(s)
PreviousNext 1
Coordinator
prof. dr. E. Marchiori
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Examiner
prof. dr. E. Marchiori
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Lecturer
prof. dr. E. Marchiori
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Contactperson for the course
prof. dr. E. Marchiori
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Lecturer
dr. J.C. Textor
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Academic year2020
Period
KW3-KW4  (25/01/2021 to 31/08/2021)
Starting block
KW3
Course mode
full-time
Remarks-
Registration using OSIRISYes
Course open to students from other facultiesYes
Pre-registrationNo
Waiting listNo
Placement procedure-
Aims
On completion of the course students should be able to:
  • Outline core Natural Computing approaches and algorithms
  • Compare and contrast different Natural Computing approaches
  • Solve optimization problems using Natural Computing methods
  • Design an experiment in Natural Computing
  • Write an academic paper on this subject
Content
The field of Natural Computing concerns the development of algorithms inspired by Nature, including Biological, Social and Physical systems. These algorithms draw metaphorical inspiration from various aspects of nature, including the operation of biological neurons, processes of evolution, and models of social interaction amongst organizations. They are used to tackle complex real-world problems. This course provides a description of core Natural Computing approaches, like evolutionary algorithms, immunocomputing and cellular automata, which can be used by the students to tackle a real-world problem.

Instructional Modes
  • Lecture
  • Response course
  • Presentation
  • Self-study
Level

Presumed foreknowledge
Bachelor course "Data Mining".
Test information
Home assignments and a project in groups, flash talk presentations and project report.
Specifics

Required materials
Articles
Scientific papers and tutorials, slides from lectures.

Instructional modes
Course

General
Home assignments, group work on a project, seminar presentations and reports.

Project
Attendance MandatoryYes

Tests
Final grade
Test weight1
OpportunitiesBlock KW4, Block KW4