57E00500 - Capstone: Business Intelligence, Lecture, 26.2.2024-10.4.2024

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Please note! Course description is confirmed for two academic years, 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: 26.02.2024 - 10.04.2024

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):

Responsible teacher: Yong Liu <yong.liu@aalto.fi>
Teaching assistant: Pham Hà <ha.pham@aalto.fi>

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.

  • applies in this implementation

    • On-site lectures
    • Software Tutorials
      • Power BI Tutorial
      • Weka Tutorial
      • Tableau Tutorial

Assessment Methods and Criteria

  • valid for whole curriculum period:

    • Assignments
    • Learning diary

  • applies in this implementation

    Peer evalution of Power BI and Weka assignment.
    Tableau assignment will be evaluated by the lecturer.

Workload

  • valid for whole curriculum period:

    Contact teaching
    Independent work

  • applies in this implementation

    Little preparation is need for the on-site lectures. Students are expected to do BI software study after the class through the software tutorial.

DETAILS

Study Material

  • valid for whole curriculum period:

    Course book: Carl Anderson (2015). Creating a Data-Driven Organization: Practical Advice from the Trenches, Publisher(s): O'Reilly Media, Inc.

  • applies in this implementation

    Course book: Carl Anderson (2015) Creating a Data-Driven Organization: Practical Advice from the Trenches, O’Reilly. Available at the University Library as an online book.

Substitutes for Courses
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

    Lectures in IV period, assignment in V period.

     

     

  • applies in this implementation

    A competition event will be organized in collaboration with Tableau and a similar BI course at Turku School of Economics on April 23.

Rules of Conduct - Students´ Rights and Responsibilities (in force from 1 August 2020)

Aalto University Code of Academic Integrity and Handling Violations Thereof