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
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 virtual course as either assignments or online tests, based on the assignment tasks.
English
Possibility to operate with international teams and international lectures. Possible guest lecturers from international organisations and partner universities.
16.01.2023 - 19.05.2023
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.
This course is 100% virtual independent studies.
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
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.?
• 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 (Written & Multiple choice) & Long Assignment - (worth 40% graded)
• Topic 5: Online multiple choice exam - (worth 20% and graded)
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.?
22.08.2022 - 16.12.2022
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.
13.06.2022 - 19.08.2022
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.?
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. 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
Contact teaching
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
H-5
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
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 virtual course as either assignments or online tests, based on the assignment tasks.
English
Possibility to operate with international teams and international lectures. Possible guest lecturers from international organisations and partner universities.
17.01.2022 - 20.05.2022
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.
03.01.2022 - 14.01.2022
This course is 100% virtual independent studies.
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
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.?
• 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 (Written & Multiple choice) & Long Assignment - (worth 40% graded)
• Topic 5: Online multiple choice exam - (worth 20% and graded)
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