The course is included in these curricula and study modules
Level/category
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)
Course contents
Pandas
Data anlysis
Matplotlib
Object Oriented Programming
Graphical interfaces
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
Home page of the course
Group size
No limit
Assignments valid until
12 months after course has ended
Assessment methods
2022-06-14 - Other assignments