The course takes place in period

4 (2022-03-14 to 2022-07-31)

Level/category

Professional studies

Teaching language

English

Type of course

Compulsory

Cycle/level of course

First

Recommended year of study

2

Total number of ECTS

5 cr

Competency aims

Within this study unit we will focus on the
following
competencies:

Profession specific competence in modelling

SDG's in focus:

  • #4: Quality education

Learning outcomes

Once you have completed the study unit you will
have?
(mention knowledge, skill, attitude)
In-depth knowledge of programming with Python
(Knowledge)

Understand and implement data management, data
analysis
and archiving of data (databases, internet & file
management). (Knowledge, skill)

Prerequisites and co-requisites

Introduction to programming and automation

Study activities

  • Lectures - 30 hours
  • Project- and production work/artistic activities - 35 hours
  • Individual studies - 70 hours

Workload

  • Total workload of the course: 135 hours
  • Of which autonomous studies: 135 hours
  • Of which scheduled studies: 0 hours

Mode of Delivery

Participation in tuition

Assessment methods

Lectures, exercises
and project work

Assessment requirements

To pass the course the student should pass the
following examinations:
Assignments and final project

Teacher

Roos Kim

Examiner

Roos Kim

Group size

No limit

Assignments valid until

12 months after course has ended

Course enrolment period

2022-02-28 to 2022-03-27

Assessment methods

2022-06-14 - Other assignments

Course and curriculum search