Introduction to Artificial Intelligence

The technologies of Artificial Intelligence will add 13T USD to the global economy in this decade, or 1.2% gdp growth annualized. The whole IT industry added 0.6% gdp growth on an annual basis over the past 30 years. Not only will AI have a huge impact technologically but it will transform society, the work force and businesses alike. Market leaders and innovative startups are already harnessing this potential. A basic understanding of this field is necessary for decision makers and managers to be successful leaders in the coming decade. Surveys regularly rank AI as one of the most interesting and fastest-growing fields, and it is already generating over a trillion dollars a year in revenue. AI expert Kai-Fu Lee predicts that its impact will be “more than anything in the history of mankind.” Moreover, the intellectual frontiers of AI are wide open and AI has many openings for full-time masterminds.
The course has several goals related to the use of AI in modern businesses and it is aimed at students with no prior knowledge of AI, Machine Learning or programming. The course is designed to present students with; an overview of the history and place of AI, its techniques and terminology, its main uses in today’s products and businesses, its relation to business decision making and organization, forming predictions, its risks and open ethical questions. The end goal of the course is to place the student in a position where they can actively participate in AI related business or public decision making and give them a starting foundation to further their own exploration of the field if they choose to do so. The course is designed to be equally useful to students who decide to pursue management or technical tracks.

Course leader

Boris Debić, MSc Physics, Google CHO Emeritus.

Dorian Wild, ZSEM.

Target group

Bachelor students

Course aim

1.Acquire knowledge of the definition and evolution of AI, its terminology, main areas of application and research and the concepts of patterns, predictions and intelligent agents.
2.Develop analytical thinking about problem solving with intelligent agents. Develop an understanding of knowledge representation and acquire knowledge on planning techniques and agents acting in the real world.
3.Develop skills in the contemporary use of AI. Acquire knowledge on how business decision making is changing based on AI techniques. Get familiar with most common uses of AI and with new areas looming over the horizon. Develop an understanding of the economics of AI.
4.Participate in the design of systems that act intelligently and learn from experience.
5.Acquire knowledge of the risks and ethics of AI and AI based systems. Acquire a brief overview of common security risks and introduce basic concepts of privacy in order to tie them to the AI field.
6.Develop expertise on the business impact of AI and strategic AI related decision making.

Credits info

5 EC
Students will get 5 ECTS from this course

Fee info

EUR 1100: Students who apply in the Early Bird time will get the Early Bird price for 1100 euros for 1 term
EUR 1600: Students who apply in the Early Bird time will get the Early Bird price for 1600 euros for 2 terms and 2100 euros for 3 terms

Scholarships

Students who apply in the Early Bird time will get the Early Bird price