Kursen ingår i dessa läroplaner och studiehelheter
- 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
- Företagsekonomi 2023 - 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
- International business 2023 - Datadrivna insikter och beslutsfattande - avancerade studier
Nivå/kategori
Undervisningsspråk
Engelska
Kurstyp
Obligatorisk
Cykel/nivå
Yrkeshögskoleexamen
Rekommenderat studieår
3
Omfattning
5 sp
Kompetensmål
In this study unit the focus lies on the following
competencies:
Fact-based Decision Making Competence
Resilience Competence
Technological Competencies
Leadership
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
Läranderesultat
Upon completion of this study unit:
You are able to ask managerial
questions that can be answered through the use
of AI methods based on machine learning.
(Knowledge)
You have 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. (Knowledge,
Approach)
Innehåll
Machine learning contents for:
-classification
-regression
-natural language processing
-business opportunities with AI methods
-basic knowledge how several AI methods work
Förkunskaper
20 credits from your subject module.
Mer information
Have to pass the Mooc course Introduction to AI with
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 Introduction to AI with 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 Introduction to AI with
Elements of AI @ HU.
Examinator
Fabricius Susanna
Kursens hemsida
Antal kursplatser
Ingen begränsning
Delprestation i kraft till
12 månader efter kursens slutdatum
Examinationsformer
Datum meddelas senare - Rapporter och produktioner