Level/category

Professional studies

Teaching language

English

Type of course

Compulsory

Cycle/level of course

First

Recommended year of study

3

Total number of ECTS

5 cr

Competency aims

Competencies
Within this study unit we will focus on the
following competencies:
The aim of the course is that the student knows
common AI methods for analysing historical data.
Another aim is to make student capable of finding
AI opportunities in different business domains in
order to find sustainable solutions through
digital transformation.

SDG?s in focus:
1 NO POVERTY
4 QUALITY EDUCATION
5 GENDER EQUALITY
8 DECENT WORK AND ECONOMIC GROWTH
9 INDUSTRY, INNOVATION AND INFRASTRUCTURE
10 REDUCED INEQUALITIES
12 RESPONSIBLE CONSUMPTION & PRODUCTION

Learning outcomes

The student should be able to ask managerial
questions that can be answered through the use
of AI methods based on machine learning. Student
has a fair understanding of the field of data
science and how business value can be created
through data analysis and thus, contribute to a
more sustainable business environment.

Course contents

Machine learning contents for:

-classification

-regression

-natural language processing.

Prerequisites and co-requisites

20 credits from your subject module.

Additional information

Have to pass the Mooc course Elements of AI @ HU.
Please note that the course Elements of AI cannot be
accredited as extension studies. The course is
included in this course.

Recommended or required reading

Mooc course Elements of AI @ HU and others

Study activities

  • Lectures - 20 hours
  • Project- and production work/artistic activities - 65 hours
  • Internet-based studies - 50 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

Essays, reports, productions and portfolio

Assessment requirements

To pass the course the student must participate
and do the assignments given during the course.
Have to pass the Mooc course Elements of AI @ HU.

Teacher

Björk Kaj-Mikael

Examiner

Björk Kaj-Mikael

Group size

No limit

Assignments valid until

12 months after course has ended

Assessment methods

Date will be announced later - Reports and productions

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