Please note! Course description is confirmed for two academic years (1.8.2018-31.7.2020), which means that in general, e.g. Learning outcomes, assessment methods and key content stays unchanged. However, via course syllabus, it is possible to specify or change the course execution in each realization of the course, such as how the contact sessions are organized, assessment methods weighted or materials used.

LEARNING OUTCOMES

The objective of the course is to give the students an understanding of the data informed decision-making. The focus is on business-oriented analytical skills, which enable the students to work with the data, to understand them and turn them into intelligence and actions.

Credits: 6

Schedule: 01.03.2021 - 07.04.2021

Teacher in charge (valid 01.08.2020-31.07.2022): Yong Liu

Teacher in charge (applies in this implementation):

Contact information for the course (applies in this implementation):

CEFR level (applies in this implementation):

Language of instruction and studies (valid 01.08.2020-31.07.2022):

Teaching language: English

Languages of study attainment: English

CONTENT, ASSESSMENT AND WORKLOAD

Content
  • Valid 01.08.2020-31.07.2022:

    This course aims at providing an understanding of issues related to data informed decision-making and problem solving. To do this, it offers a balanced insight into the building blocks of business intelligence (BI), such as data management, data warehousing, reporting, and analytics. Besides a set of guest speakers representing academia and business life, a central feature of the course is a BI challenge, which students work in small groups. The course requires both independent learning skills and organizational skills.

Assessment Methods and Criteria
  • Valid 01.08.2020-31.07.2022:

    50% assignments
    50% learning diary / Final exam

Workload
  • Valid 01.08.2020-31.07.2022:

    Contact teaching 24h
    Independent work 136h
    Total 160h (6 ECTS)

DETAILS

Study Material
  • Valid 01.08.2020-31.07.2022:

    Course book: Sharda, Ramesh Delen, Dursun Turban, Efraim (2014) Business Intelligence and Analytics (10th edition). Pearson, New York (NY).

Substitutes for Courses
  • Valid 01.08.2020-31.07.2022:

    37E00550 Business Intelligence

    EMS MIM students can replace this capstone with 42E05400 CEMS Business Project

Prerequisites
  • Valid 01.08.2020-31.07.2022:

    Before registration, one is expected to know SQL and database management basics.

FURTHER INFORMATION

Description

Registration and further information