The course takes place in period

2 (2019-10-28 to 2019-12-31)

Level/category

Professional studies

Teaching language

Swedish

Type of course

Compulsory

Cycle/level of course

First

Recommended year of study

4

Total number of ECTS

5 cr

Competency aims

The aim of the course is for the student to understand, in some depth, on a few methods that is used to optimize a process.

Learning outcomes

At the end of the course the student is expected to be able to understand optimization and how it is used in machine learning

Course contents

The course is done through submitting a number of assignments and we will go through the material during the lessons. After the course the student should be able to understand how a process can be optimized, and understand also how linear programming and convex problems are formulated. The course is examined through the assignments and the course project work.

Additional information

The assignments and the course work are given during the course. The presentation of the course work is done during period 2.

Recommended or required reading

Are given in the lectures and on itslearning

Study activities

  • Lectures - 28 hours
  • Project- and production work/artistic activities - 40 hours
  • Individual studies - 67 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 should pass the following examinations: Examination 1 Assignments Examination 2 Course work Students can get 60 % of the grade from the assignments and 40 % from the course work.

Teacher

  • Björk Kaj-Mikael
  • Karlsson Jonny

Examiner

Björk Kaj-Mikael

Home page of the course

https://arcada.itslearning.com/

Group size

No limit (27 students enrolled)

Assignments valid until

12 months after course has ended

Course enrolment period

2019-10-14 to 2019-11-10

Assessment methods

Date will be announced later - Reports and productions
Room reservations
Date Time Room Title Description Organizer
2019-10-31 09:00 - 13:00 F367 Maskininlärning och optimering Björk Kaj-Mikael
2019-11-07 09:00 - 13:00 F367 Maskininlärning och optimering Björk Kaj-Mikael
2019-11-14 09:00 - 13:00 F367 Maskininlärning och optimering Björk Kaj-Mikael
2019-11-28 09:00 - 13:00 F367 Maskininlärning och optimering Björk Kaj-Mikael
2019-12-05 09:00 - 13:00 F367 Maskininlärning och optimering Björk Kaj-Mikael
2019-12-19 09:00 - 13:00 A311 Maskininlärning och optimering Björk Kaj-Mikael
2020-01-30 10:00 - 12:00 Företagsbesök, Innofactor Kägelstranden 9, Esbo. För anmälning och mera info, kolla mejl. Karlsson Jonny

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