Nivå/kategori

Yrkesstudier

Undervisningsspråk

Engelska

Kurstyp

Obligatorisk

Cykel/nivå

Yrkeshögskoleexamen

Rekommenderat studieår

3

Omfattning

5 sp

Kompetensmål

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.

Läranderesultat

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.

Innehåll

Machine learning objectives for:

-classification

-regression

-natural language processing.

Introduction to python programming

Förkunskaper

20 credits from your subject module.

Mer 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.

Litteratur

Mooc course Elements of AI @ HU and others

Studieaktiviteter

  • Föreläsningar - 20 timmar
  • Projekt- och produktionsarbete/konstnärlig verksamhet - 65 timmar
  • Nätbaserade - 50 timmar

Arbetsbelastning

  • Kursens totala antal arbetstimmar: 135 timmar
  • Varav självstyrda studieformer: 135 timmar
  • Varav schemalagda studier: 0 timmar

Undervisningsform

Närundervisning

Examinationsformer

Essä, rapporter, produktioner och portfolio

Examinationskrav

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.

Lärare

Björk Kaj-Mikael

Examinator

Björk Kaj-Mikael

Antal kursplatser

Ingen begränsning

Delprestation i kraft till

12 månader efter kursens slutdatum

Examinationsformer

Datum meddelas senare - Rapporter och produktioner

Kurs och studieplanssökning