The course is included in these curricula and study modules

The course takes place in period

4 (2024-03-18 to 2024-07-31)

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

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

Machine learning and decision support system
development with an emphasis on:

Time series forecasting

SDG's in focus:
#4: Quality education
#9: Industry, innovation and infrastructure

Learning outcomes

After completion of the study unit:

You know basic analytical concepts. (Knowledge)

You can interpret and process input and output
data. (Skills)

You can manage and analyse time series and perform
regression analysis. (Skills)

You are able to solve specific problems where
supervised learning is used as a training method
to create models that predict future events.
(Skills)

Prerequisites and co-requisites

Statistics and probability
Data processing
Design of analytical systems
Computer vision

Recommended or required reading

Material is provided through Itslearning.

Study activities

  • Lectures - 30 hours
  • Individual- and group instruction - 30 hours
  • Project- and production work/artistic activities - 60 hours
  • Individual studies - 15 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
  • Project work and presentation

Teacher

Dayama Niraj

Examiner

Dayama Niraj

Home page of the course

Group size

No limit

Assignments valid until

12 months after course has ended

Course enrolment period

2023-11-24 to 2023-12-22

Assessment methods

  • Date will be announced later - Reports and productions
  • 2022-03-28 - Other assignments

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