LEARNING OUTCOMES
Upon successful completion of this course, the student will be able to:
- Understand the basic principles of planning and leading with data, including critical evaluation of the source and context of the data, and the challenges and pitfalls of introducing and using data analytics to support organizational decision making
- Apply data analysis to business problems, including 1) combining data from multiple sources, 2) conducting analysis by using relevant software, 3) visualizing the findings and storytelling, and 4) making recommendations based on them
- Understand the legal and ethical issues associated with collecting, storing and handling data
- Build and interpret the results of basic models that are commonly used to support decision making, including Linear Programming, Forecasting and Decision Analysis models
Credits: 3
Schedule: 11.11.2024 - 03.12.2024
Teacher in charge (valid for whole curriculum period):
Teacher in charge (applies in this implementation): Anastasia Koulouri
Contact information for the course (applies in this implementation):
CEFR level (valid for whole curriculum period):
Language of instruction and studies (applies in this implementation):
Teaching language: English. Languages of study attainment: English
CONTENT, ASSESSMENT AND WORKLOAD
Content
valid for whole curriculum period:
The course consists of two modules: 1) Introduction to data analytics; and 2) Modelling to inform decision making
The first module introduces data analytics and its emergence, evolution and use in informing decision making. It focuses on analyzing and visualizing data to draw insights and make recommendations. It also touches upon the challenges associated with using data to inform decisions including those related to governance and ethics.
The second module focuses on the use of models to inform decision making, including optimization, decision trees, and forecasting. It introduces the basics of each of these three modelling approaches and focuses on building, using and interpreting the results of basic models.
Assessment Methods and Criteria
valid for whole curriculum period:
Based on participation and successful completion of assginments (module 1), and assignment and exam (module 2)
Students taking module 1 have the option to attempt a pre-course test in the first week of the teaching period and receive 3 credits without the above requirements on a pass/fail basis (that is no grade out of 5).
Workload
valid for whole curriculum period:
Lectures and drop-in sessions
Module 1: Assessment based on individual assignments; mandatory attendance to 2 out of 3 lectures.
Module 2: Assessment based on individual assignment and exam; mandatory attendance to 2 out of 3 lectures.
Attendance to drop-in sessions is optional.
DETAILS
Study Material
valid for whole curriculum period:
Course materials (including slides, Excel practice notes, exercises and associated comnnetary, datasets) as well as videos, books and journal articles.
Substitutes for Courses
valid for whole curriculum period:
Prerequisites
valid for whole curriculum period:
FURTHER INFORMATION
Further Information
valid for whole curriculum period:
Teaching Language: English
Teaching Period: 2024-2025 Autumn II
2025-2026 Autumn IIRegistration:
Students are admitted to the course in the following priority order 1) Global Management / People Management and Organizational Development students, 2) CEMS / Strategic Management in a Changing World students, 3) other students.