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Business Analytics

Description

Course objectives
In this course, students will learn how to

  • Translate real world problems into formal models.
  • Apply different methods to improve a current solution.
  • Determine the optimal solution to a formal model.
  • Do quick ad-hoc analyses using Pivot tables.
  • Aggregate and analyse large date sets using different EXCEL functions.

Course description
This course will show you how to analyse a surprisingly wide array of business planning and decision problems using spreadsheet models. We will cover to broad topics: (1) analysing data and (2) modelling decision problems.

Learning methods
It is a very hands-on class, learning by doing. In class and in the assignments, we will analyse datasets and implement models to solve business problems.

Attendance
Not mandatory. But I will ask students to present and discuss their solutions to the assignments.

Examination information
100% Assignments (individual), no exam.

Required material
No readings required.

People

 

Martignoni D.

Course director

Sachenbacher M. A.

Assistant

Additional information

Semester
Spring
Academic year
2021-2022
ECTS
3
Language
English
Education
Master of Science in Economics in Management, Core course, 1st year
Master of Science in Management and Informatics, Elective course, Lecture, 1st year
Master of Science in Management and Informatics, Elective course, Lecture, 2nd year