Elements of Artificial Intelligence MOOC (online) (2 cr)
Code: HBIS1509-3001
General information
- Enrollment
-
03.08.2020 - 30.08.2020
Registration for the implementation has ended.
- Timing
-
31.08.2020 - 18.12.2020
Implementation has ended.
- Number of ECTS credits allocated
- 2 cr
- Local portion
- 0 cr
- Virtual portion
- 2 cr
- Mode of delivery
- Online learning
- Unit
- School of Business
- Teaching languages
- English
- Degree programmes
- Bachelor's Degree Programme in International Business
- Teachers
- Piia Hynynen
- Groups
-
HBI18S1Degree Programme in International Business
-
HBI20S1Bachelor's Degree Programme in International Business
-
HBI18K1Degree Programme in International Business
- Course
- HBIS1509
Evaluation scale
Pass/Fail
Content scheduling
You can define the timetable based on your own needs. Please read more info on the website: https://www.elementsofai.com/
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
Location and time
continuous open online study (MOOC), running fully virtually at Aalto University platform: https://www.elementsofai.com/
Materials
course material and additional/recommended further readings at the virtual platform of the course
Teaching methods
You can take the course Elements of AI at the University of Helsinki and it will be added as such to your transcript. Please register here: https://www.elementsofai.com/ and complete the course on their learning platform, learning fully online. Then you fill the cross-institutional form (can be found from the JAMK Study Guide, Forms) with your career tutor, attach the proof of completing the course and send the files to Student Services.
Exam schedules
no exam - students needs to provide the copy of the course certificate + the learning report (assignments done + % of correctness) to the JAMK teacher responsible for the course
Student workload
2 ECTS are equal to approximate 54 hours of student work. The whole course happens as online learning.
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.