Syllabus

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: 28.02.2022 - 06.04.2022

Teacher in charge (valid for whole curriculum period):

Teacher in charge (applies in this implementation): Yong Liu

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:

  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 for whole curriculum period:

  • Assignments
  • Learning diary

Workload

• valid for whole curriculum period:

  Contact teaching
  Independent work
  
  

DETAILS

Substitutes for Courses

• valid for whole curriculum period:

  Substitutes for Courses

Prerequisites

• valid for whole curriculum period:

  Prerequisites

FURTHER INFORMATION

Further Information

• valid for whole curriculum period:

  Teaching Language : English

  Teaching Period : 2022-2023 Spring IV - V
  2023-2024 Spring IV - V

  Enrollment :

   

   

Description