Program Overview

Analytical Thinking

Description

The Analytical Thinking course is designed to encourage students to critically evaluate empirical and statistical claims. The course objectives include:

• Encouraging students not to take every empirical or statistical claim for granted
• Equipping students with the skills to critically evaluate these claims
• Using analytical and logical thinking to achieve these goals, with minimal emphasis on mathematics

Course Description

The course introduces students to statistical pitfalls and fallacies that are often overlooked in everyday life. It covers key areas where statistical claims can be misleading, enabling students to read statistical arguments critically and make better decisions in their professional careers.

Learning Methods

The course consists of seminars and is practice-based, with students participating in experiments or solving in-class exercises, either individually or in small groups.

Attendance and Examination

• Attendance is appreciated but not required, except for group work
• The examination consists of a final assignment and an in-class group work
• The group work counts for 30% of the grade, while the final assignment counts for 70% of the grade

Required Material

Selected chapters from:

• Campbell, S. K. (2012). Flaws and fallacies in statistical thinking. Englewood Cliffs: Prentice-Hall
• Clark, M. (2007). Paradoxes from A to Z. 2nd ed. London: Routledge Materials will be provided.

Education

The Analytical Thinking course is offered as an elective course in the following programs:

• Master of Science in Economics, 2nd year
• Master of Science in Economics in Management, Track in Organization and Human Resources Management, 2nd year
• Master of Science in Management and Informatics, Lecture, 2nd year

Additional Information

• Semester: Fall
• Academic year: Not specified
• ECTS: 3.0
• Language: English

Program Details

• Faculty: Faculty of Economics
• Credits: 3.0 ECTS
• Language of instruction: English
• Semester offered: Fall