Schedule: 24.02.2020 - 08.04.2020
Teacher in charge (valid 01.08.2018-31.07.2020):
Contact information for the course (applies in this implementation):
Lecture: Yong Liu (email@example.com)
Teaching Period (valid 01.08.2018-31.07.2020):
IV Spring (2018-2019) Otaniemi campus
IV Spring (2019-2020) Otaniemi campus
Learning Outcomes (valid 01.08.2018-31.07.2020):
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.
Content (valid 01.08.2018-31.07.2020):
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.
Details on the course content (applies in this implementation):
Students will get chances to hear stories of BI applications and usage in real business life from guest speakers, tentatively including Analytics Architect of IBM Finland, CTO of Marimekko, Head of Business Intelligence of F-Secure, Head of Market Intelligence Services of M-brain, etc.
Assessment Methods and Criteria (valid 01.08.2018-31.07.2020):
50 % learning diary / Final exam
Elaboration of the evaluation criteria and methods, and acquainting students with the evaluation (applies in this implementation):
Students are expected to learn to use IBM Cognos for the big assignment (50%).
In addition, students can choose to write learning diary OR attend a final exam, which constitute the rest of 50% of the course evaluation.
Workload (valid 01.08.2018-31.07.2020):
• Contact teaching 24h
• Independent work 136h
Total 160h (6 ECTS)
Details on calculating the workload (applies in this implementation):
Study Material (valid 01.08.2018-31.07.2020):
Course book: Sharda, Ramesh – Delen, Dursun – Turban, Efraim (2014) Business Intelligence and Analytics (10th edition). Pearson, New York (NY).
Substitutes for Courses (valid 01.08.2018-31.07.2020):
37E00550 Business Intelligence
EMS MIM students can replace this capstone with 42E05400 CEMS Business Project
Prerequisites (valid 01.08.2018-31.07.2020):
Before registration, one is expected to know SQL and database management basics.
Grading Scale (valid 01.08.2018-31.07.2020):
Registration for Courses (valid 01.08.2018-31.07.2020):