Lassi Tissari
20% Face-to-face, 80% Distance learning
AI for Dummies ProQuest Ebook Central - Detail page Azure Machine Learning Studio (Data Science) - Documentation MS Power Apps Chatbot documentation Other materials TBA
Lectures and workshops
Independent study and teamwork
NOTE: Prerequisites: basics of statistical research and statistical 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
Individual assignments (Exam and assignments) 30%
Project work in team 70%
04.03.2021 - 31.05.2021
08.02.2021 - 14.02.2021
20 - 40
Laurea Leppävaara, tiko
Jouni Takala, Lassi Tissari
Prerequisites: basics of statistical research and statistical methods
Complementary competence, bachelor's studies in English (CCN2), Information and Communication Technologies (ICT), Laurea täydentävä osaaminen, amk-tutkinto (TON2), Tietojenkäsittely ja tietoliikenne (ICT)
Laurea Leppävaara
4 credits
Approved/Failed
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
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
Online