This course introduces the impact of AI in business and introduces students to a number of current AI topics. The course is taught virtually, but there will be option for students to also join live interactive webinars in addition to some guest lecturers and AI experts. The course will include a small number of assessment tasks based around the following teaching instruction:
• Virtual classes
• Inquiry learning
• Peer-to-peer learning
• Tutorials
• Lectures and live webinars
• Independent study and teamwork
The main book to use for this course is: Artificial Intelligence: 101 Things You Must Know Today About Our Future, Lasse Rouhiainen, ISBN: 1982048808 (50 page free sample will be provided for all students).
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.
Distance learning
Possible networking opportunities with AI experts and guest lecture workshops from different companies and organisations.
Porvoo Campus
All assessment will be done in the course through assignments and or via Moodle quiz/exams.
• Virtual course assignments x2 (60%)
• Guest lectures and webinar tasks (40%)
English
Possibility to operate with international teams and international lectures. Possible guest lecturers from international organisations and partner universities.
24.05.2021 - 20.08.2021
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: Robotics in Business Topic 4: Artificial Intelligence in Business and Society Topic 5: The 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.
14.04.2021 - 21.05.2021
The course will run intensively with live online Zoom support webinars over 3 week period starting 24.05 -11.06. These will be designed to support the topics, introduce the content and provide opportunities to interact with the course instructor (webinars will be recorded for those that cannot join live).
After 11.06 students will be able to work independently on the course assessments in their own time over the summer. All support materials will be active during the summer. The course will start week 21 (24.05) and finish in officially in week 33 (20.08). All assessments will need to be returned by Friday 20th August for final grades to be released and verified by the course instructor.
Virtual learning including virtual study with assignments, independent study, project work, interactive webinars and online exams.
Darren Trofimczuk
15 - 60
• Virtual course assignments x2 (60%)
• Guest lectures and webinar tasks (40%)
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. The feedback is collected in an electronic form.
HETI Tietojenkäsittelyn koulutusohjelma, BITE Degree Programme in Business Information Technology, SAMPO Degree Programme in International Sales and Marketing
5 cr
H-5
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.
• Learning methods
• Virtual classes
• Inquiry learning
• Peer-to-peer learning
• Tutorials
• Possible company visits
• Lectures and workshops
• Independent study and teamwork
The main book to use for this course is: Artificial Intelligence: 101 Things You Must Know Today About Our Future, Lasse Rouhiainen, ISBN: 1982048808
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.
Distance learning
Possible company visits and guest lecturers and workshops from different companies and organisations.
Porvoo Campus
All assessment will be done in the course either in contact lessons (through assignments) or via Moodle quizz/exams.
• Virtual course assignments x3 (60%)
• Guest lectures and webinar tasks (40%)
English
Possibility to operate with international teams and international lectures. Possible guest lecturers from international organisations and partner universities.
23.08.2021 - 17.12.2021
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-(with Python code) Topic 3: Robotics in Business Topic 4: Artificial Intelligence in Business and Society Topic 5: The 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.
Contact classes will run every other week.
50% Virtual tasks
50% contact classes
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
Darren Trofimczuk
15 - 40
• Virtual course assignments x3 (60%)
• Guest lectures and webinar tasks (40%)
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.
ABBA Degree Programme in Aviation Business, SAMPO Degree Programme in International Sales and Marketing, TEMPO Degree Programme in Tourism and Event Management
5 cr
H-5
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.
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
Recommended literature:
E-Books
Course materials
Webinars
Internet based resources
Course videos & interviews
Distance learning
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.
Porvoo Campus
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:
Assessment Types for each topic:
Pre-Assignment - Pass/Fail
Topic 1: Online Exam -30% (compulsory assignment) -Graded
Topic 2: Machine Learning task with Data file & BigML-30% (Pass = Grade 5, Fail = 0)
Topic 3 & 4: Written Assignment-40% (compulsory assignment) Graded
Topic 5: Forum contribution & 1 x webinar participation– (Pass/Fail)
English
18.01.2021 - 21.05.2021
Topic 1: Online Exam -30% (compulsory assignment) -Graded Topic 2: Machine Learning task with Data file & BigML-30% (Pass = Grade 5, Fail = 0) Topic 3 & 4: Written Assignment-40% (compulsory assignment) Graded Topic 5: Forum contribution & 1 x webinar participation– (Pass/Fail)
04.01.2021 - 15.01.2021
All online as a virtual course - Moodle
Darren Trofimczuk
15 - 40
ABBA Degree Programme in Aviation Business, SAMPO Degree Programme in International Sales and Marketing, TEMPO Degree Programme in Tourism and Event Management
5 cr
H-5
No past implementations yet.