Swedish name: Artificiell intelligens för verksamhetsutveckling
This syllabus is valid: 2021-01-04
and until further notice
Course code: 2IN408
Credit points: 15
Education level: Second cycle
Main Field of Study and progress level:
Informatics: Second cycle, has only first-cycle course/s as entry requirements
Grading scale: VG Pass with distinction, G Pass, U Fail
Responsible department: Department of Informatics
Established by: Head of Department of Informatics, 2020-11-25
The course builds on a relational understanding of Artificial Intelligence (AI) and focuses on opportunities, limitations, and challenges related to organizational use of AI for value creation. The course introduces different types of AI technologies and how they have emerged. Through theories of how the relationship and dynamics between organizations and technology can be understood, the course highlights how AI triggers new organizational and societal challenges. Against this backdrop, the course explores how, on operational and strategic levels, businesses can work with understanding, managing and creating value using AI.
Expected learning outcomes
Regarding knowledge and understanding the student is, after the course, expected to be able to: 1. Describe different types of AI technologies and account for their evolution. 2. Account for and explain the role of AI in organizational value creation. 3. Account for and motivate different ethical challenges and issues raised by the use of AI in businesses.
Regarding proficiency and aptitude the student is, after the course, expected to be able to: 4. Analyze organizational use of AI. 5. Analyze organizational challenges related to the management of AI in businesses. 6. Develop recommendations for the use of AI in businesses on both operational and strategic levels.
Regarding evaluative capacity and approach the student is, after the course, expected to be able to: 7. Through analytical generalization, identify conditions for the use of AI in businesses.
Admission to the course requires 90 credits in informatics, computer science, business administration, media and communication studies, pedagogics, psychology, political science or sociology (or equivalent competence). Also required is English A.
Form of instruction
Learning is supported by lectures, student-centered teaching, and supervision in relation to self-studies, laboratory work, and different forms of written assignments. Some teaching sessions may be compulsory. If the course so requires, necessary computer applications will be provided and introduced. During the course students are free to use the departmental computer labs. The language of instruction is English.
The course grade is based on individual written assignments, a group assignment, and seminar participation. The grading scale for the course is Pass with distinction (VG), Pass (G), and Fail (U).
Students who do not pass the exams during the course will be given a second opportunity soon afterwards. Students who do not pass after these two attempts have the possibility to complete remaining assignments during subsequent re-exam periods.
When a student has failed an exam on two occasions, they have the right to request another examiner. Requests for new examiners are made to the Director of studies.
If special circumstances arise, the examiner has the right to decide on another type of exam.
2021 week 1
Competing in the age of AI : strategy and leadership when algorithms and networks run the world Iansiti Marco, Lakhani Karim R. Boston, MA : Harvard Business Review Press :  : viii, 267 pages : ISBN: 9781633697621 Mandatory Search Album, the University Library catalogue
Davenport Thomas H. The AI advantage : how to put the artificial intelligence revolution to work Cambridge, Massachusetts : The MIT Press :  : x, 231 pages : ISBN: 9780262039178 Mandatory Search Album, the University Library catalogue