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  
• Tutorials
• 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
E-Books
Course materials
Webinars
Internet based resources
Course videos & interviews

Course instructor:
Darren Trofimczuk: darren.trofimczuk@haaga-helia.fi
www.darrentony.com

Possibility to operate with international teams and international lectures. Possible guest lecturers from international organisations and partner universities

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.

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.

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.

Pass =Submission of all assignments
Fail =No Submission of any of the 4 assignments