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).
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
Porvoo Campus
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.
English
23.05.2022 - 31.08.2022
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
13.04.2022 - 20.05.2022
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).
Darren Trofimczuk
15 - 100
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)
SAMPO Degree Programme in International Sales and Marketing
0.00 cr
0.00 cr
H-5