180163 VO+UE Tools in Cognitive Science I: Introduction to Programming for Cognitive Scientists (2018W)
Continuous assessment of course work
Labels
1.Termin (Vorbesprechung): Mo 1. Oktober 2018, 9:00
HS 2i d. Inst. f. Philosophie, NIG, 2. Stock
HS 2i d. Inst. f. Philosophie, NIG, 2. Stock
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 Mo 10.09.2018 00:00 to Tu 02.10.2018 23:59
- Deregistration possible until We 31.10.2018 23:59
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
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)
• 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.
• 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
• Further readings will be announced in the course
Association in the course directory
Last modified: Fr 19.02.2021 00:19
• 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