Course ObjectiveQuantitative Skills
•Using business intelligence and data mining suites to create insight
from data and tackle business problems
•Defining, describing and recalling the basic concepts, constituent
components, principles and theories underlying the use and the
deployment of business intelligence & analytics solutions.
Bridging Theory and Practice
•Choosing, applying, and evaluating business intelligence & analytics
concepts, principles and solutions to solve business problems.
Course ContentDealing with the overabundance of data and the ability to transform data
into insights are critical success factors for organizations. This
course offers an introduction to the tools and concepts that allow you
to unleash the power of data and business intelligence and analytics
solutions in order to
create competitive advantage. The course primarily has a managerial
focus. The students will acquire hands-on experience with well-known
BI&A technologies, and learn how to use their features and capabilities
in practice. Our partners from the industry and the business consulting
sector will be closely involved in the course, sharing their insights
and experience during several interventions.
Keywords: business intelligence, analytics, data science, data
warehousing, data mining, big data, machine learning, data-driven
Method of AssessmentFinal written exam (individual)
Weekly computer-based analytics quizzes (individual)
Both components are mandatory for passing the course.
LiteratureThis course is article based.
Readings & practice material will be announced in the course manual.
Recommended background knowledgeRecommended knowledge Elementary course on (Management) Information
Systems (for example: Laudon, K.C. & Laudon, J.P. (2016). Essentials of
MIS (12 th edition).
Knowledge of the fundamentals of statistics.
Course Introduction to Digital Innovation (SBE, Period 3.1).
BK: 2.1 Business Information Technology
IBA: 2.1 Business Information Systems
|Language of Tuition||English|
|Faculty||School of Business and Economics|
|Course Coordinator||M. Shafeie Zargar|
|Examiner||M. Shafeie Zargar|
dr. A.C. Smit
M. Shafeie Zargar
dr. M.G.A. Plomp
You need to register for this course yourself
Last-minute registration is available for this course.
|Teaching Methods||Seminar, Lecture, Response class|
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