psy241 - Computation in Neuroscience (Vollständige Modulbeschreibung)

Enrolment in Master's programme Neurocognitive Psychology.

Goals of module:
Students will acquire scientific programming skills as well as specific knowledge of computational methods in neuroscience and cognition.
Competencies:
Analytical thinking and structured problem solving; judging the appropriateness and complexity of computational problems and solutions; independent scientific programming.

Part 1: Introduction to scientific programming I
• Basic data types and structures
• Flow control (conditions, loops, errors)
• Testing and debugging
• Functions

Part 2: Introduction to scientific programming II
• Classes and objects
• Parallel processing
• Frequency analysis methods
• EEG processing

Part 3: Scientific programming I
• Implementation of examples from part 1

Part 4: Scientific programming II
• Implementation of examples from part 2

• Mathworks (2009): MATLAB online documentation
• Wallisch P., et al. (2009): MATLAB for Neuroscientists: An Introduction to Scientific Computing in MATLAB. Elsevier/Academic Press

The module will be offered every winter term and lasts two semesters.

• The participants will have to independently develop and program a solution for a given neuroscientific problem. Both the written code as well as the documentation of the approach taken will be assessed.