Universität Wien
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180163 VO+UE Tools in Cognitive Science I: Introduction to Programming for Cognitive Scientists (2018W)

5.00 ECTS (3.00 SWS), SPL 18 - Philosophie
Continuous assessment of course work

1.Termin (Vorbesprechung): Mo 1. Oktober 2018, 9:00
HS 2i d. Inst. f. Philosophie, NIG, 2. Stock
Moodle

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).

Details

max. 25 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

  • Friday 05.10. 16:45 - 20:00 Hörsaal 3F NIG 3.Stock
  • Friday 12.10. 16:45 - 20:00 Hörsaal 3F NIG 3.Stock
  • Friday 19.10. 16:45 - 20:00 Hörsaal 3F NIG 3.Stock
  • Friday 09.11. 16:45 - 20:00 Hörsaal 3F NIG 3.Stock
  • Friday 16.11. 16:45 - 20:00 Hörsaal 3F NIG 3.Stock
  • Friday 23.11. 16:45 - 20:00 Hörsaal 3F NIG 3.Stock
  • Friday 30.11. 16:45 - 20:00 Hörsaal 3F NIG 3.Stock
  • Friday 14.12. 16:45 - 20:00 Hörsaal 3F NIG 3.Stock
  • Friday 11.01. 16:45 - 20:00 Hörsaal 3F NIG 3.Stock
  • Friday 18.01. 16:45 - 20:00 Hörsaal 3F NIG 3.Stock
  • Friday 25.01. 16:45 - 20:00 Hörsaal 3F NIG 3.Stock

Information

Aims, contents and method of the course

Different branches of computer science such as artificial intelligence, robotics, computational cognitive modelling, etc. can be considered core research fields of cognitive science. Analytical thinking and programming play fundamental roles in all these fields. Moreover, beyond their application in computer science, analytical thinking and programming are also widely used in other branches of cognitive science, such as development of computer-based empirical experiments, data collection, data representation, data analysis, data visualisation, etc. Therefore, acquiring basic and working knowledge of analytical thinking and programming is an important learning step for all cognitive science students.

This course introduces the students to:
• basic concepts of computation
• analytical, systemic and algorithmic thinking
• applied problem-solving skills
• working knowledge of programming (using Python), skills related to programming and application of programming in cognitive science
• basic understanding of the role of computer science in cognitive science

Assessment and permitted materials

The course will be graded on a basis of 100 points in total:
• 100-87 points: Excellent (1)
• 86-75 points: Good (2)
• 74-63 points: Satisfactory (3)
• 62-50 points: Sufficient (4)
• 49-0 points: Unsatisfactory (5) (fail)

Minimum requirements and assessment criteria

Assessment criteria:
• 10% Active participation
• 25% Homework assignments (via Moodle)
• 20% Presentation (debriefing) of homework assignments
• 15% In-class quizzes
• 15% Final Exam
• 15% Final Project

• A positive score (>50%) in each of the above criteria is required for passing the course.
• Regular participation in at least 90% of sessions is obligatory.

Examination topics

Exam questions will be based on what we discuss in class, the readings and the homework assignments.

Reading list

• https://www.python.org/doc/
• Further readings will be announced in the course

Association in the course directory

Last modified: Fr 19.02.2021 00:19