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
2019 curriculum
See all the curriculums.
Teaching and learning methods
Lectures and exercise classes
Feedback form
Continuous feedback during the course of the semester
Feedback by final exam (In addition to the
grade)
Exam
- ECTS
- 7,5 ECTS
- Type of assessment
-
Requirement to attend classes
- Type of assessment details
- Active student participation. The active participation consists of 3-5 written assignments, 6-10 standard pages in total.
- Marking scale
- passed/not passed
- Censorship form
- No external censorship
- Re-exam
-
Take-home assignment, set subject
Workload
- Category
- Hours
- Class Instruction
- 42
- Preparation
- 105
- Exam Preparation
- 59
- English
- 206
Kursusinformation
- Language
- English
- Course number
- HIOK0002EU
- ECTS
- 7,5 ECTS
- Programme level
- Full Degree Master
- Duration
-
1 semester
- Placement
- Autumn
- Schedulegroup
-
Uden for skemastruktur
- Studyboard
- Study Board of Nordic Studies and Linguistics
Contracting department
- Department of Nordic Studies and Linguistics
Contracting faculty
- Faculty of Humanities
Course Coordinator
- Ali Basirat (4-68737069476f7c7435727c356b72)
Saved on the
24-04-2024
Er du BA- eller KA-studerende?
Er du bachelor- eller kandidat-studerende, så find dette kursus i kursusbasen for studerende:
Kursusinformation for indskrevne studerende
Kursusinformation for indskrevne studerende