Universität Wien FIND

180090 VO+UE Tools in Cognitive Science I: Computation, Computer-aided Methodologies and Problem Solving (2019W)

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

1.Termin (Vorbesprechung): Mo 30. September 2019, 9:00 - 13:00
HS 2i d. Inst. f. Philosophie, NIG, 2. Stock

Moodle; Fr 25.10. 16:45-20:00 Hörsaal 2i NIG 2.Stock

Registration/Deregistration

Details

max. 25 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

Friday 04.10. 16:45 - 20:00 Hörsaal 2i NIG 2.Stock
Friday 11.10. 16:45 - 20:00 Hörsaal 2i NIG 2.Stock
Friday 18.10. 16:45 - 20:00 Hörsaal 2i NIG 2.Stock
Friday 08.11. 16:45 - 20:00 Hörsaal 2i NIG 2.Stock
Friday 15.11. 16:45 - 20:00 Hörsaal 2i NIG 2.Stock
Friday 22.11. 16:45 - 20:00 Hörsaal 2i NIG 2.Stock
Friday 29.11. 16:45 - 20:00 Hörsaal 2i NIG 2.Stock
Friday 13.12. 16:45 - 20:00 Hörsaal 2i NIG 2.Stock
Friday 10.01. 16:45 - 20:00 Hörsaal 2i NIG 2.Stock
Friday 17.01. 16:45 - 20:00 Hörsaal 2i NIG 2.Stock
Friday 24.01. 16:45 - 20:00 Hörsaal 2i NIG 2.Stock
Friday 31.01. 16:45 - 20:00 Hörsaal 2i NIG 2.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: Tu 08.10.2019 10:48