Artificial Intelligence in Business, 5 cr - BUS3PO305
Course unit language
No upcoming implementations yet.
No ongoing implementations yet.
No past implementations yet.
This course introduces the impact of AI in business and introduces students to a number of AI topics. Much of the course is taught virtually, but there will be a few contact classes at Porvoo campus. Guest lecturers/experts on AI will also provide some lectures and these will be recorded as a webinar and placed onto the course. The course is 90% virtual, but there might be some contact classes for guest lectures.
There are five key topics covered in the course module:
Topic 1: An Introduction to Artificial Intelligence
Topic 2: Machine Learning in Business and applications-(with Python code)
Topic 3: Robotics in Business
Topic 4: Artificial Intelligence in Business and Society
Topic 5: The Future of Artificial Intelligence
• 1 x written assignments (40%)
• 1 x online test (20%)
• 1 x practical task (20%)
• 1 x video assignment (20%)
Detailed assessment can be checked from implementation plans (including attendance requirements). The self-assessment of one's own learning does not influence the module grade. The self-assessment and students’ feedback to the module will be used for the module development. The feedback is collected in an electronic form.
• Learning methods
• Virtual classes
• Inquiry learning
• Peer-to-peer learning
• Possible company visits
• Lectures and workshops
• Independent study and teamwork
• Rouhiainen Lasse, 2017, Artificial Intelligence: 101 Things You Must Know Today About Our Future, ISBN: 1982048808
Internet based resources
Course videos & interviews
Darren Trofimczuk: email@example.com
Starting level and linkage with other courses
Possibility to operate with international teams and international lectures. Possible guest lecturers from international organisations and partner universities
Assessment criteria - grade 1
The student has some understanding of AI in business used in the module. He/She is able to communicate at a minimal level with AI in business terminology and theory. The student is able to operate only when aided by other students and supervisors.
Assessment criteria - grade 3
The student is able to understand most concepts in AI in business within the module. He/She is able to communicate at an intermediate level with AI in business terminology and theory. He/She is able to discuss and write assessment tasks with reference to some AI academic materials mostly independently.
Assessment criteria - grade 5
The student is able to understand concepts in AI in business within the module. He/She is able to communicate fully independently with AI in business terminology and theory. He/She is able to discuss and write assessment tasks with reference to AI academic materials independently. He/She applies an entrepreneurial problem-solving approach to their project work.
Evaluation criteria, approved/failed
Pass =Submission of all assignments
Fail =No Submission of any of the 4 assignments