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Elements of Artificial Intelligence MOOC (online) (2 cr)

Code: HBIS1509-3001

General information


Enrollment

03.08.2020 - 30.08.2020

Timing

31.08.2020 - 18.12.2020

Number of ECTS credits allocated

2 op

Virtual portion

2 op

Mode of delivery

Online learning

Unit

Liiketoimintayksikkö

Teaching languages

  • English

Degree programmes

  • Bachelor's Degree Programme in International Business (AMK)

Teachers

  • Piia Hynynen

Groups

  • HBI18S1
    Degree Programme in International Business
  • HBI19S1
    Degree Programme in International Business
  • HBI20S1
    Bachelor's Degree Programme in International Business
  • HBI18K1
    Degree Programme in International Business

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/

Oppimateriaali ja suositeltava kirjallisuus

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.

Content scheduling

You can define the timetable based on your own needs. Please read more info on the website: https://www.elementsofai.com/

Evaluation scale

Pass/Fail

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.