180163 VO+UE Tools in Cognitive Science I: Introduction to Programming for Cognitive Scientists (2016W)
Continuous assessment of course work
Labels
1.Termin (Vorbesprechung): Mo 3. Oktober 2016, 9:00 - 11:00HS 2i d. Inst. f. Philosophie, NIG, 2. StockWeitere Termine werden bei der Vorbesprechung bekannt gegeben!
Registration/Deregistration
Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).
- Registration is open from Th 15.09.2016 00:00 to Tu 04.10.2016 23:59
- Deregistration possible until Mo 31.10.2016 23:59
Details
max. 25 participants
Language: English
Lecturers
Classes (iCal) - next class is marked with N
Wednesday
05.10.
11:30 - 14:45
Hörsaal. 2H NIG 2.Stock
Wednesday
12.10.
11:30 - 14:45
Hörsaal. 2H NIG 2.Stock
Wednesday
19.10.
11:30 - 14:45
Hörsaal. 2H NIG 2.Stock
Wednesday
09.11.
11:30 - 14:45
Hörsaal. 2H NIG 2.Stock
Wednesday
16.11.
11:30 - 14:45
Hörsaal. 2H NIG 2.Stock
Wednesday
23.11.
11:30 - 14:45
Hörsaal. 2H NIG 2.Stock
Wednesday
30.11.
11:30 - 14:45
Hörsaal. 2H NIG 2.Stock
Wednesday
07.12.
11:30 - 14:45
Hörsaal. 2H NIG 2.Stock
Wednesday
14.12.
11:30 - 14:45
Hörsaal. 2H NIG 2.Stock
Wednesday
11.01.
11:30 - 14:45
Hörsaal. 2H NIG 2.Stock
Wednesday
18.01.
11:30 - 14:45
Hörsaal. 2H NIG 2.Stock
Wednesday
25.01.
11:30 - 14:45
Hörsaal. 2H NIG 2.Stock
Information
Aims, contents and method of the course
Assessment and permitted materials
Exercises (weekly homework) and final exam
Minimum requirements and assessment criteria
Examination topics
• knowing and understanding of programming basics and their application in an programming environment
• ability to deal with functions with two and more variables
• being familiar with fundamentals, scope and limits of modelling
• basic knowledge for modelling complex systems
• ability to deal with functions with two and more variables
• being familiar with fundamentals, scope and limits of modelling
• basic knowledge for modelling complex systems
Reading list
Lecture Notes
Association in the course directory
Last modified: Fr 19.02.2021 00:19
• ability to deal with functions with two and more variables
• being familiar with fundamentals, scope and limits of modelling
• basic knowledge for modelling complex systems
• analytical and synthetic thinking
• problem solving skills