Elements of Artificial Intelligence MOOCLaajuus (2 cr)
Code: HBIS1509
Credits
2 op
Teaching language
- English
Responsible person
- Juha Saukkonen
Objective
The student masters the key concepts and definitions of AI and is able to participate into professional discussion that relates to the topic and applicability of AI.
Intended Learning Outcomes (ILOs):
IBCRI: Skills in Critical and Analytical Understanding
Upon completion of the course the student understands the basic concept and logic of Artificial Intelligence and masters the key vocabulary related to the subject. The student is also able to understand the limitations of the current stage of development of Artificial Intelligence.
IBBUS Applied Business Skills:
Student understand the practical (existing and potential) applications of AI and implications of them to business processes.
.
Content
Content areas covered: - What is AI? - AI problem solving - Real World AI - Machine learning - Neural Networks - Implications of AI
Assessment criteria, approved/failed
There is no grade, but the amount of exercises you complete is tracked. For getting the certificate, you need to complete at least 90% of the exercises and get 50% of the exercises right.
Go to https://www.elementsofai.com/. Complete the course at your own pace. Submit the certificate to the Moodle workspace IB general (enrolment key: ibgeneral). It will be added to your transcript.
If your track is Technology Business and Future Foresight, please discuss this topic with Juha Saukkonen. He has integrated this AI to some of his course actions.
Materials
MOOC-platform for the course:
https://www.elementsofai.com/
Enrollment
01.08.2023 - 24.08.2023
Timing
28.08.2023 - 20.05.2024
Number of ECTS credits allocated
2 op
Virtual portion
2 op
Mode of delivery
Online learning
Unit
School of Business
Teaching languages
- English
Seats
0 - 50
Degree programmes
- Bachelor's Degree Programme in International Business
Teachers
- Pia Kreus
- Juha Saukkonen
- Jay Panjwani
Teacher in charge
Juha Saukkonen
Groups
-
HBI21S1Degree Programme in International Business
-
HBI23S1Bachelor's Degree Programme in International Business
-
HBI22S1Degree Programme in International Business
Objectives
The student masters the key concepts and definitions of AI and is able to participate into professional discussion that relates to the topic and applicability of AI.
Intended Learning Outcomes (ILOs):
IBCRI: Skills in Critical and Analytical Understanding
Upon completion of the course the student understands the basic concept and logic of Artificial Intelligence and masters the key vocabulary related to the subject. The student is also able to understand the limitations of the current stage of development of Artificial Intelligence.
IBBUS Applied Business Skills:
Student understand the practical (existing and potential) applications of AI and implications of them to business processes.
.
Content
Content areas covered: - What is AI? - AI problem solving - Real World AI - Machine learning - Neural Networks - Implications of AI
Learning materials and recommended literature
The material in the course MOOC platform
Teaching methods
Self-paced online MOOC course
Exam dates and retake possibilities
no exam, passing based on the certificate issued at the completion
Student workload
starting and ending at student's own decision - course continuously open
workload of 54 hours consists of online assignments and readings
Evaluation scale
Pass/Fail
Evaluation criteria, pass/failed
There is no grade, but the amount of exercises you complete is tracked. For getting the certificate, you need to complete at least 90% of the exercises and get 50% of the exercises right.
Go to https://www.elementsofai.com/. Complete the course at your own pace. Submit the certificate to the Moodle workspace IB general (enrolment key: ibgeneral). It will be added to your transcript.
If your track is Technology Business and Future Foresight, please discuss this topic with Juha Saukkonen. He has integrated this AI to some of his course actions.
Enrollment
01.08.2022 - 19.05.2023
Timing
29.08.2022 - 19.05.2023
Number of ECTS credits allocated
2 op
Virtual portion
2 op
Mode of delivery
Online learning
Unit
School of Business
Teaching languages
- English
Degree programmes
- Bachelor's Degree Programme in International Business
Teachers
- Juha Saukkonen
- Jay Panjwani
- Piia Hynynen
Groups
-
HBI21S1Degree Programme in International Business
-
HBI20S1Bachelor's Degree Programme in International Business
-
HBI22S1Degree Programme in International Business
Objectives
The student masters the key concepts and definitions of AI and is able to participate into professional discussion that relates to the topic and applicability of AI.
Intended Learning Outcomes (ILOs):
IBCRI: Skills in Critical and Analytical Understanding
Upon completion of the course the student understands the basic concept and logic of Artificial Intelligence and masters the key vocabulary related to the subject. The student is also able to understand the limitations of the current stage of development of Artificial Intelligence.
IBBUS Applied Business Skills:
Student understand the practical (existing and potential) applications of AI and implications of them to business processes.
.
Content
Content areas covered: - What is AI? - AI problem solving - Real World AI - Machine learning - Neural Networks - Implications of AI
Learning materials and recommended literature
The material in the course MOOC platform
Teaching methods
Self-paced online MOOC course
Exam dates and retake possibilities
no exam, passing based on the certificate issued at the completion
Student workload
starting and ending at student's own decision - course continuously open
workload of 54 hours consists of online assignments and readings
Evaluation scale
Pass/Fail
Evaluation criteria, pass/failed
There is no grade, but the amount of exercises you complete is tracked. For getting the certificate, you need to complete at least 90% of the exercises and get 50% of the exercises right.
Go to https://www.elementsofai.com/. Complete the course at your own pace. Submit the certificate to the Moodle workspace IB general (enrolment key: ibgeneral). It will be added to your transcript.
If your track is Technology Business and Future Foresight, please discuss this topic with Juha Saukkonen. He has integrated this AI to some of his course actions.
Enrollment
01.11.2021 - 09.01.2022
Timing
10.01.2022 - 20.05.2022
Number of ECTS credits allocated
2 op
Virtual portion
2 op
Mode of delivery
Online learning
Unit
School of Business
Teaching languages
- English
Degree programmes
- Bachelor's Degree Programme in International Business
Teachers
- Juha Saukkonen
- Christina Borén
Groups
-
HBI19S1Degree Programme in International Business
-
HBI21S1Degree Programme in International Business
Objectives
The student masters the key concepts and definitions of AI and is able to participate into professional discussion that relates to the topic and applicability of AI.
Intended Learning Outcomes (ILOs):
IBCRI: Skills in Critical and Analytical Understanding
Upon completion of the course the student understands the basic concept and logic of Artificial Intelligence and masters the key vocabulary related to the subject. The student is also able to understand the limitations of the current stage of development of Artificial Intelligence.
IBBUS Applied Business Skills:
Student understand the practical (existing and potential) applications of AI and implications of them to business processes.
.
Content
Content areas covered: - What is AI? - AI problem solving - Real World AI - Machine learning - Neural Networks - Implications of AI
Evaluation scale
0-5
Evaluation criteria, pass/failed
There is no grade, but the amount of exercises you complete is tracked. For getting the certificate, you need to complete at least 90% of the exercises and get 50% of the exercises right.
Go to https://www.elementsofai.com/. Complete the course at your own pace. Submit the certificate to the Moodle workspace IB general (enrolment key: ibgeneral). It will be added to your transcript.
If your track is Technology Business and Future Foresight, please discuss this topic with Juha Saukkonen. He has integrated this AI to some of his course actions.