•   AI in Business BUS8PO805-3013 23.05.2022-31.08.2022  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 of the course is taught virtually, but there will be a few live webinars made available to join to support the learning. There are five topics in total with 3 & 4 combined:

    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

    Optional live webinars will be offered on these dates to support the assessment tasks:

    • Webinar 1 (overview of course and assignments - option 1): Monday 30th May 16:30 - 17:30
    • Webinar 2 (overview of course and assignments - option 2): Wednesday 1st June 16:30 - 17:30
    • Webinar 3: (Intro to AI and Using Machine Learning BigML)): Wednesday 8th June 16:00 - 17:30
    • Webinar 4: (AI Ethics & Future of AI)): Monday 13th June 16:00 - 17:30

    Note - The course materials will be in the Moodle site (videos, learning files, support documents, Q&A forums).

    Learning material and recommended literature

    1) Artificial Intelligence for Dummies /Mueller & Massaron: Chapters 1-3, 5, 9-10:

    Using the link, you can read the e-book with a browser (Haka-login required). Instructions for other e-book features for Haaga-Helia students are available here.

    Our course book is also available from Safari O'Reilly for Higher Education ( https://haaga-helia.finna.fi/Record/3amk.273164 )

    2) Wikipedia reference for Artificial Intelligence:
    https://en.wikipedia.org/wiki/Artificial_intelligence

    Campus

    Porvoo Campus

    Exam dates and re-exam possibilities

    Topic 1: Online multiple choice exam - (worth 20% and graded)
    Topic 2: Machine Learning task with data file using BigML - (Pass/Fail - worth 20%)
    Topic 3 & 4: Online Exam (1 x Written & 1 x Multiple choice) - (worth total of 40% graded)
    Topic 5: Online multiple choice exam - (worth 20% and graded

    Online Exams can be taken at any time during the course, but must be completed by the end of the course.

    Teaching language

    English

    Timing

    23.05.2022 - 31.08.2022

    Learning assignments

    This course introduces the impact of AI in business and introduces students to a number of AI topics. All of the course is taught virtually, but there will be a few live webinars made available to join to support the learning. There are five topics in total with 3 & 4 combined: 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

    Enrollment

    13.04.2022 - 20.05.2022

    Content scheduling

    Optional live webinars will be offered on these dates to support the assessment tasks:

    • Webinar 1 (overview of course and assignments - option 1): Monday 30th May 16:30 - 17:30
    • Webinar 2 (overview of course and assignments - option 2): Wednesday 1st June 16:30 - 17:30
    • Webinar 3: (Intro to AI and Using Machine Learning BigML)): Wednesday 8th June 16:00 - 17:30
    • Webinar 4: (AI Ethics & Future of AI)): Monday 13th June 16:00 - 17:30

    Note - The course materials will be in the Moodle site (videos, learning files, support documents, Q&A forums).

    Groups
    • PO8
    • CAMPUS22KESÄ
    • KESÄ2022
    • VIRTUAL
    Teachers

    Darren Trofimczuk

    Seats

    15 - 100

    Further information

    Assessment Types for each topic:

    • Pre-Assignment (To be accepted on the course): Pass/Fail
    • Topic 1: Online multiple-choice exam - (worth 20% and graded)
    • Topic 2: Machine Learning task with data file using BigML or PowerBI - (Pass/Fail - worth 20%
    • Topic 3 & 4: Online Exam (1 x Written & 1 x Multiple-choice) - (worth total of 40% graded)
    • Topic 5: Online multiple-choice exam - (worth 20% and graded)

    Degree Programme

    SAMPO Degree Programme in International Sales and Marketing

    R&D proportion

    0.00 cr

    Virtual proportion

    0.00 cr

    Evaluation scale

    H-5