Artificial Intelligence in Business (5 cr)

Code: BUS3PO305-3002

Basic information of implementation

Enrollment: 02.01.2020 - 24.01.2020; Enrolment for the implementation has ended.

Timing: 20.01.2020 - 22.05.2020; Implementation has ended.

ECTS Credits: 5 cr

Campus: Porvoo Campus

Teaching languages: English

Seats: 15 - 40

Degree programmes: SAMPO Degree Programme in International Sales and Marketing

Teachers: Darren Trofimczuk

Groups: PO5
Porvoo Advanced Studies; EXCH
EXCH Exchange students

Course: BUS3PO305

Evaluation scale

H-5

Schedule

Assignments dates will be confirmed at the beginning of the implementation

Implementation methods, demonstration and Work&Study

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 

Materials

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

Teaching methods and instruction

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.

• 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 

Working life connections

Possible company visits and guest lecturers and workshops from different companies and organisations.

Exam dates and re-exam possibilities

• 1 x written assignments (40%)
• 1 x online test (20%)
• 1 x practical task (20%)
• 1 x video assignment (20%)

Internationality

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

Completion alternatives

The course is 90% virtual and 10% contact classes (guest lectures)

Learning assignments

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

Assessment methods