Customer Experience and Artificial Intelligence (AI)Laajuus (5 cr)
Code: YM00CU11
Credits
5 op
Objective
Student
- understands concepts of customer experience (CX), artificial intelligence (AI), data analytics and machine learning
- identifies the interaction between customer experience and artificial intelligence and can communicate the data-driven customer experience
- knows the basics of refining data into beneficial customer understanding
- understands the possibilities of artificial intelligence and machine learning in one's occupation
Enrollment
20.11.2023 - 05.01.2024
Timing
02.01.2024 - 30.05.2024
Number of ECTS credits allocated
5 op
Mode of delivery
Contact teaching
Unit
Institute of Design and Fine Arts (LAB)
Campus
Lahti Campus
Teaching languages
- Finnish
Seats
12 - 40
Degree programmes
Teachers
- Tarja Keski-Mattinen
- Markus Ahola
Scheduling groups
- Luennot (Size: 0. Open UAS: 0.)
Groups
-
MLTIYMDR23S
-
LLPRYASLI23KV
-
MLTIYMUAS23SDesign Thinking and Customer Experience
-
MLTIYTO23H
Small groups
- Lecture 1
Learning outcomes
Student
- understands concepts of customer experience (CX), artificial intelligence (AI), data analytics and machine learning
- identifies the interaction between customer experience and artificial intelligence and can communicate the data-driven customer experience
- knows the basics of refining data into beneficial customer understanding
- understands the possibilities of artificial intelligence and machine learning in one's occupation
Implementation and methods of teaching
Student
- understands concepts of customer experience (CX), artificial intelligence (AI), data analytics and machine learning
- identifies the interaction between customer experience and artificial intelligence and can communicate the data-driven customer experience
- knows the basics of refining data into beneficial customer understanding
- understands the possibilities of artificial intelligence and machine learning in one's occupation
Assessment scale
1-5
Enrollment
21.11.2022 - 08.01.2023
Timing
01.02.2023 - 31.05.2023
Number of ECTS credits allocated
5 op
Mode of delivery
Contact teaching
Unit
Institute of Design and Fine Arts (LAB)
Campus
Lahti Campus
Teaching languages
- Finnish
Seats
12 - 25
Degree programmes
- Complementary competence and optional courses, Masters
Teachers
- Harri Heikkilä
- Markus Ahola
Scheduling groups
- Luennot (Size: 0. Open UAS: 0.)
Groups
-
MLTIYTO22H
-
MLTIYMUOJO22S
-
MLTIYMDR22S
Small groups
- Luennot 1
Learning outcomes
Student
- understands concepts of customer experience (CX), artificial intelligence (AI), data analytics and machine learning
- identifies the interaction between customer experience and artificial intelligence and can communicate the data-driven customer experience
- knows the basics of refining data into beneficial customer understanding
- understands the possibilities of artificial intelligence and machine learning in one's occupation
Assessment scale
1-5