AI in Business (5 cr)

Evaluation scale

H-5

Schedule

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).

Implementation methods, demonstration and Work&Study

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:

Materials

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

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).

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.

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

Assessment methods

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)