BEC-55306 Big Data for Business Decisions
Course
Credits 6.00
| Teaching method | Contact hours |
| Lecture | 20 |
| Tutorial | 14 |
| Group work | 6 |
| Course coordinator(s) | dr. M van der Voort |
| Lecturer(s) | prof. dr. ir. H Hogeveen |
| dr. M van der Voort | |
| dr. J Wolfert | |
| dr. ir. Y de Mey | |
| S van der Burg | |
| Examiner(s) | dr. M van der Voort |
Language of instruction:
English.
Assumed knowledge on:
BEC-10306 Introduction to Business Economics and BEC-52306 Financial and Business Management or BEC-51806 Agricultural Business Economics.
Contents:
The digital world is nowadays generating an unimaginable amount of data. With this so called Big Data, companies have more exact measurements for parameters that could not be measured before. The more data is available to a business the more information it has to go off when making major business decisions. Already a lot of ‘scientific’ work can be found and variety of (online) courses are available dealing with Big Data and how to transform this into information. However, what is the economic value of Big Data in for businesses? The goal of this course is to provide you with insight in the economic aspects of Big Data and how it can play a role in business decisions of firms in the food supply chain.
Learning outcomes:
After successful completion of this course students are expected to be able to:
- explain the basic concepts of Big Data and the Big Data landscape and challenges along the food supply chain including the three key sources of Big Data: people, organizations, and sensors;
- explain principles of data ownership, data protection and the possible risks of Big Data for privacy;
- apply methods to use Big Data in business decisions and assess the value of Big Data in business decisions;
- design a business model that utilizes Big Data in business decisions for a company in the food supply chain.
Activities:
- lectures;
- tutorials;
- group case study;
- self-study.
Examination:
- written exam with open and closed questions (closed book) (75%);
- case reporting group work (25%).
Literature:
Will be made available during the course.