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.

Lectures and exercise classes

Continuous feedback during the course of the semester
Feedback by final exam (In addition to the grade)
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

  • 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
  • Emma Marie Poulsen   (14-676f6f63306f307271776e756770426a776f306d7730666d)
Teacher

Teacher not determined

Saved on the 16-02-2024

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Courseinformation of students