Artificial Intelligence in Business Management (3 ECTS)

Objective

At the end of this introductory level course, students will be better informed about the increasing role of Artificial Intelligence (AI) in business management and various industries impacting their lives. This course will motivate students to examine their own life and work aspirations as AI is displacing many jobs and will continue to do so. At the end of this course, students will be able to
• explain what AI is and what is the role it is playing in our lives,
• appreciate the impact AI is making across industries spanning from health to manufacturing,
• reflect on the pros and cons of AI and start a dialogue on how to mitigate possible negatives,
• form an opinion on the ethical component of AI,
• comment on how Europe and the world should scale up AI initiatives,
• give better informed commentary on the increasing role of AI in business world and our lives,
• acquire motivation to examine our life and work aspirations as AI is displacing many jobs and will continue to do so,
• demonstrate better understanding of the skills which would be required in the future of work and plan/prepare accordingly.

Content

Technologies have changed the way we live, work and play. One of such technology which is making huge impacts is Artificial Intelligence (AI). This introductory level course will sensitise participants to the advancing role of AI in various industries across the world. The possibilities of AI will be discussed together with the challenges, as we prepare for the future, in various domains of life and work. This course is taking place as the world is deliberating on trusting AI and ethical considerations.

Materials

All learning material is available on the course website: http://tashfeen.pbworks.com

Teaching methods

Teaching methods include:

- Lectures

- Videos

- Discussions

- Case Analysis

Further information

Please feel free to contact the lecturer via email: mrtashfeen@hotmail.com

Evaluation scale

0-5

Assessment criteria, satisfactory (1)

Students’ active attendance (3 classes)
Students’ active participation in class discussions (3 classes)
Students’ submission of assignments (3 classes)

Assessment criteria, good (3)

Students’ active attendance (4 classes)
Students’ active participation in class discussions (4 classes)
Students’ submission of assignments (4 classes)

Assessment criteria, excellent (5)

Students’ active attendance (All classes)
Students’ active participation in class discussions (All classes)
Students’ submission of assignments (All classes)

Assessment criteria, approved/failed

Students’ active attendance (3 classes)
Students’ active participation in class discussions (3 classes)
Students’ submission of assignments (3 classes)

Assessment methods and criteria

The course assessment is based on

- Active attendance

- Active participation in class discussions

- Submission of assignments