AB-2-075 (0) - AI for Business

• Företagsekonomi 2018 (logistik) - Business insight management
• Företagsekonomi 2018 (marknadsföring) - Business insight management
• Företagsekonomi 2018 (turism) - Business insight management
• Företagsekonomi 2019 - Business insight management
• Företagsekonomi 2020 - Business insight management
• Företagsekonomi 2021 - Datadrivna insikter och beslutsfattande - avancerade studier
• Företagsekonomi 2022 - Datadrivna insikter och beslutsfattande - avancerade studier
• International business 2018 - Business insight management
• International business 2019 - Business insight management
• International business 2020 - Business insight management
• International business 2021 - Datadrivna insikter och beslutsfattande - avancerade studier
• International business 2022 - Datadrivna insikter och beslutsfattande - avancerade studier

3 (2023-01-01 till 2023-03-19)

Engelska

Obligatorisk

Yrkeshögskoleexamen

3

5 sp

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

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.

Machine learning contents for:

-classification

-regression

-natural language processing.

20 credits from your subject module.

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.

Mooc course Elements of AI @ HU and others

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

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

Närundervisning

Essä, rapporter, produktioner och portfolio

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.

Björk Kaj-Mikael

Björk Kaj-Mikael

https://arcada.itslearning.com/ Extern länk

Ingen begränsning (39 studenter anmälda)

12 månader efter kursens slutdatum

2022-12-26 till 2023-01-05

Datum meddelas senare - Rapporter och produktioner