•   AI in Business BUS8PO805-3008 27.03.2023-19.05.2023  5   (PO8, ...) +-
    Learning objectives
    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 contact classes and guest lectures will also include a small number of assessment tasks.
    Starting level and linkage with other courses
    Possible company visits and guest lecturers and workshops from different companies and organisations.

    Possibility to?operate?with international teams?and international lectures. Possible guest lecturers from international organisations and partner universities.?
    Contents
    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
    Topic 3 & 4: Robotics in Business and AI in Business and Society
    Topic 5: The Future of Artificial Intelligence
    Assessment criteria
    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.
    Further information
    Course Instructor: Lecturer Darren Trofimczuk
    Darren.Trofimczuk@haaga-helia.fi
    Teaching methods and instruction

    This course introduces the impact of AI in business and introduces students to a number of AI topics. All the course is taught virtually. Guest lecturers/experts on AI will also provide some lectures and these will be recorded as a webinar and placed onto the course. The contact classes and guest lectures will also include a small number of assessment tasks.

    • Learning methods
    • Virtual classes
    • Tutorials
    • Online lectures/webinars
    • Independent study

    Learning material and recommended literature

    The main book to use for this course is: Tom Taulli, Artificial Intelligence Basics

    Materials will be provided in the course such as:
    • Learning materials
    • Books on the content topics
    • E-books and online articles
    • Online tutorials
    • Companies’ web portals
    • Relevant media, news agencies, quality press, etc
    • Exercises, tests
    Instructors’ own materials, materials produced by students.

    Working life connections

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

    Campus

    Porvoo Campus

    Exam dates and re-exam possibilities

    All assessment will be done in the virtual course as either assignments or online tests, based on the assignment tasks.

    Teaching language

    English

    Internationality

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

    Timing

    27.03.2023 - 19.05.2023

    Learning assignments

    Contents 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 Topic 3: Technologies Topic 4: Artificial Intelligence in Business and Society Topic 5: The Ethhics and Future of Artificial Intelligence 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. 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. 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.

    Enrollment

    02.01.2023 - 24.03.2023

    Content scheduling

    This course is 100% virtual independent studies.

    Groups
    • PO8
    • VIRTUAL
    • EXCH
    Alternative learning methods

    a) Learning with contact teaching including assignments, project work, independent study and exams
    b) Virtual learning including virtual study with assignments, project work via the Internet, project execution as a webinar and exams

    Teachers

    Juhani Heikkinen

    Seats

    15 - 40

    Further information

    Detailed assessment can be checked from implementation plans. 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.

    • Exercises 70%

    • Online multiple choice exam 30%

    Degree Programme

    SAMPO Degree Programme in International Sales and Marketing

    R&D proportion

    0.00 cr

    Virtual proportion

    5.00 cr

    Evaluation scale

    H-5