HIOK0002EU Scientific Programming
Volume 2020/2021
Education
IT & Cognition
Content
The course introduces scientific programming with the Python programming language and addresses problem solving, organization and visualization of data, file organization and scripting, numerical computing, supervised learning, graphs, information retrieval, and neural networks.
Learning Outcome
Academic objectives
See the curriculum:
MA-level
2015 curriculum
2019 curriculum
See all the curriculums.
Teaching and learning methods
Lectures and exercise
classes
Workload
- Category
- Hours
- Class Instruction
- 28
- Preparation
- 105
- Exercises
- 28
- Exam Preparation
- 45
- Total
- 206
Feedback form
Continuous feedback during the course of the
semester
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Exam
- Credit
- 7,5 ECTS
- Type of assessment
- Course participationActive student participation
- Marking scale
- passed/not passed
- Censorship form
- No external censorship
- Re-exam
Take-home assignment
Course information
- Language
- English
- Course code
- HIOK0002EU
- Credit
- 7,5 ECTS
- Level
- Full Degree Master
- Duration
- 1 semester
- Placement
- Autumn
- Schedule
- Uden for skemastruktur
- Study board
- Study Board of Scandinavian Studies and Linguistics
Contracting department
- Department of Scandinavian Studies and Linguistics
Contracting faculty
- Faculty of Humanities
Course Coordinators
- Manex Aguirrezabal Zabaleta (18-506471687b31446a786c7575687d6465646f436b7870316e7831676e)
Saved on the
07-08-2020