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Basics of Artificial Intelligence (5 op)

Toteutuksen tunnus: TP00BN39-3002

Toteutuksen perustiedot


Ilmoittautumisaika
08.02.2021 - 14.02.2021
Ilmoittautuminen toteutukselle on päättynyt.
Ajoitus
01.03.2021 - 31.05.2021
Toteutus on päättynyt.
Opintopistemäärä
5 op
Lähiosuus
1 op
Virtuaaliosuus
4 op
Toteutustapa
Monimuoto-opetus
Toimipiste
Laurea Leppävaara
Opetuskielet
englanti
Paikat
20 - 40
Koulutus
Laurea täydentävä osaaminen, amk-tutkinto (TON2), Tietojenkäsittely ja tietoliikenne (ICT)
Complementary competence, bachelor's studies in English (CCN2), Information and Communication Technologies (ICT)
Opettajat
Jouni Takala
Lassi Tissari
Vastuuopettaja
Lassi Tissari
Opintojakso
TP00BN39

Tavoitteet

The student is able to:
- understand what is AI and how it can affect business
- recognize opportunities of AI in different domains
- analyze and visualize data
- knows the basic statistical methods used in data analysis
- knows how to use software to perform data analysis
- knows how to apply some basic methods used in AI
- knows trends in AI
- can recognize ethical challenges related to applying AI in business

Aika ja paikka

Online

Oppimateriaali ja suositeltava kirjallisuus

AI for Dummies
ProQuest Ebook Central - Detail page
Azure Machine Learning Studio (Data Science) - Documentation
MS Power Apps Chatbot documentation
Other materials TBA

Toteutustapa

Lectures and workshops
Independent study and teamwork
NOTE: Prerequisites: moderate knowledge of statistical and mathematical methods

Course Content
• definition of AI and basic concepts related to it
• business cases where AI is used
• methods and software for data analysis and visualization
• application of AI methods (Team work)
• recent trends in AI
• ethical issues in AI

Toteutuksen tärkeät päivämäärät

4.3
Introduction & Orientation
Lecture : What is AI
Intro: Exam (Individual or Group, Assignment 1)
Compulsory

11.3 No-workshop - Self Study

18.3 Exam

25.3
Power BI - Visualization & Data Science
- Workshop
- Individual Assignment 1 intro

1.4  No-workshop - Self Study

8.4 
Basics of Data Science
- Lecture
- Workshop : Azure Machine Learning Studio
- Individual assignments 2 intro

15.4  No-workshop - Self Study
 
22.4  Workshop: Group work - Intro

29.4  No-workshop - Self Study

6.5  Workshop: Group work - Q & A

13.5 No-workshop - Self Study
Ascension Day

20.5 Team's Presesentation

Sisältö ja sen jaksotus

4.3
Introduction & Orientation
Lecture : What is AI
Intro: Exam (Individual or Group, Assignment 1)
Compulsory

11.3 No-workshop - Self Study

18.3 Exam

25.3
Power BI - Visualization & Data Science
- Workshop
- Individual Assignment 1 intro

1.4  No-workshop - Self Study

8.4 
Basics of Data Science
- Lecture
- Workshop : Azure Machine Learning Studio
- Individual assignments 2 intro

15.4  No-workshop - Self Study
 
22.4  Workshop: Group work - Intro

29.4  No-workshop - Self Study

6.5  Workshop: Group work - Q & A

13.5 No-workshop - Self Study
Ascension Day

20.5 Team's Presesentation

Arviointiasteikko

Hyväksytty/Hylätty

Lisätiedot

Prerequisites: moderate knowledge of statistical and mathematical methods

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