Scientific Programming
Course 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.
Education
IT & Cognition
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
Feedback form
Continuous feedback during the course of the
semester
Exam
- ECTS
- 7,5 ECTS
- Type of assessment
-
Course participationActive student participation
- Marking scale
- passed/not passed
- Censorship form
- No external censorship
Workload
- Category
- Hours
- Class Instruction
- 28
- Preparation
- 105
- Exam Preparation
- 45
- Exercises
- 28
- English
- 206
Kursusinformation
- Language
- English
- Course number
- HIOK0002EU
- ECTS
- 7,5 ECTS
- Programme level
- Full Degree Master
- Duration
-
1 semester
- Schedulegroup
-
Uden for skemastruktur
- Studyboard
- Study Board of Scandinavian Studies and Linguistics
Contracting department
- Department of Scandinavian Studies and Linguistics
Contracting faculty
- Faculty of Humanities
Course Coordinator
- Manex Aguirrezabal Zabaleta (18-576b786f82384b717f737c7c6f846b6c6b764a727f7738757f386e75)
Saved on the
07-08-2020
Are you BA- or KA-student?
Are you bachelor- or kandidat-student, then find the course in the course catalog for students:
Courseinformation of students
Courseinformation of students