This course provides an introduction to three core topics of the digital economy: Economics, Statistics, and Technology. First, students learn the core principles of microeconomics, focusing on consumer behavior, supply decisions, and price mechanisms. Second, students receive an introduction to statistical methods necessary to evaluate empirical and experimental applications in the real world. Third, the course presents the foundations of mathematics, programming, logic, and computer networks necessary to understand the core mechanics of the digital economy.

The course will discuss the basic theory and terminology and will link the content to other courses in the digital economy program.

Overview of basic concepts in microeconomics

Basic understanding of market processes

Basic understanding of data and data types

Skills to find the right statistical method for the specific task

Core skills in Mathematics and Programming

Basic understanding of Logic and Databases

 Students must be present in the first unit.

Regular attendance is compulsory (at least 80% of lectures).

Presentations, Exercises, Experiments

There will be one exam per topic (economics, statistics, technology) on the Friday of the respective week.

Passing and grades regulation: To pass the class, students have to pass (i.e., achieve at least 50%) in every one of the three exams. For the final grade, the average percentage of all three exams will be used.

Grading scale:

Fail: < 50 %

Sufficient (4): ≥ 50 % to < 62,5 %

Satisfactory (3): ≥ 62,5 % to < 75 %

Good (2):  ≥75 % to < 87,5 %

Excellent (1): ≥ 87,5 % 

None

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