The course is included in these curricula and study modules

The course takes place in period

  • 1 (2023-08-01 to 2023-10-22)
  • 2 (2023-10-23 to 2023-12-31)

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

In this study unit the focus lies on the following
competencies:

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

Prescriptive issues and model improvements

Ensemble learning

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

Learning outcomes

Upon completion of this study unit:

You are familiar with prescriptive issues and
model improvement on a theoretical level.
(Knowledge)

You are able to improve model performance through
different types of ensemble learning techniques.
(Skills)

You see the benefits of applying prescriptive
analytics to make better decisions through
analysis of raw data. (Approach)

Prerequisites and co-requisites

Decision support systems and verification

Study activities

  • Lectures - 27 hours
  • Project- and production work/artistic activities - 81 hours
  • Individual studies - 27 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

Project work

Teacher

  • Kuvaja-Adolfsson Kristoffer
  • Karlsson Jonny

Examiner

Welander Fredrik

Home page of the course

Group size

No limit (29 students enrolled)

Assignments valid until

12 months after course has ended

Course enrolment period

2023-08-10 to 2023-09-06

Assessment methods

2023-02-28 - Other assignments

Room reservations
Date Time Room Title Description Organizer
2023-10-25 09:30 - 12:30 F365 Preskriptiv analytik Introduktion till preskriptiv analytik Kuvaja-Adolfsson Kristoffer
2023-10-31 13:00 - 16:00 F365 Preskriptiv analytik Introduktion till preskriptiv analytik Kuvaja-Adolfsson Kristoffer
2023-11-09 09:30 - 12:30 D399 Preskriptiv analytik Kuvaja-Adolfsson Kristoffer
2023-11-13 09:30 - 12:30 F365 Preskriptiv analytik Kuvaja-Adolfsson Kristoffer
2023-11-20 09:15 - 11:00 F143 Sisusession för IT & Media åk 1 och 2 & MTH1 på Campus och ONLINE Detta är en hybridsession där ni lär er använda Sisu, så man kan delta endera på campus eller online. Om man deltar på campus rekommenderas att man tar egen dator med sig (en padda eller smarttelefon fungerar tyvärr inte). Sessionen ordnas av Arcadas studieärenden: sisu@arcada.fi DELTA VIA DENNA LÄNK: https://teams.microsoft.com/l/meetup-join/19%3ameeting_OTI1NGMzNzUtNjQwYy00MmE1LWIwYTktZmY1YTZjYjkzZTE2%40thread.v2/0?context=%7b%22Tid%22%3a%2286080f64-b23d-4f93-8c43-e65f2588b9c3%22%2c%22Oid%22%3a%2295120ab9-e6c5-4d68-b283-421bbe101856%22%7d Välkomna! Ahlroth Siri
Eerola Sabina
2023-11-22 09:00 - 10:00 F143 Gästföreläsning - Johan Nylund, Netflix Buttler Pekka
Karlsson Jonny
Kuvaja-Adolfsson Kristoffer
2023-11-22 10:00 - 13:00 F365 Preskriptiv analytik Kuvaja-Adolfsson Kristoffer
2023-11-24 09:30 - 10:15 D4110 Studentdialog för 4:de årets IT-studenter Utvärdering och diskussion Biström Dennis
Dayama Niraj
Grönholm Hanna
Karlsson Jonny
Kuvaja-Adolfsson Kristoffer
Scherbakov-Parland Andrej
Welander Fredrik
2023-12-11 09:00 - 13:00 F365 Preskriptiv analytik Presentationstillfälle Kuvaja-Adolfsson Kristoffer

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