General Information
| Course Code | E_IBK3_BIA |
|---|---|
| Credits | 6 EC |
| Period | P4 |
| Course Level | 300 |
| Language of Tuition | English |
| Faculty | School of Business and Economics |
| Course Coordinator | dr. A.C. Smit |
| Examiner | dr. A.C. Smit |
| Teaching Staff |
dr. M.G.A. Plomp dr. A.C. Smit M. Shafeie Zargar |
Practical Information
You need to register for this course yourself
Last-minute registration is available for this course.
| Teaching Methods | Seminar, Instruction course, Lecture, Response class |
|---|
Target audiences
This course is also available as:
Course Objective
Academic & Research skills- Using business intelligence and data mining suites to create insight
from data and tackle business problems
Bridging theory and practice
- Defining, describing and recalling the basic concepts, constituent
components, principles and theories underlying the use and the
deployment of business intelligence & analytics solutions
- Choosing, applying, and evaluating business intelligence & analytics
concepts, principles and solutions to solve business problems
Course Content
Dealing with the overabundance of data and the ability to transform datainto insights have become critical success factors for organizations.
This course offers the handles that are needed to unleash the potential
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 trending BI&A
technologies to learn how to use their features and characteristics 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 in this area are ‘big data’, ‘data science’, ‘business
intelligence’, ‘data mining’ and ‘data-driven decision making and
innovations’
Teaching Methods
Hearing lectures, large and small-scale tutorialsMethod of Assessment
Assessment:Written exam – Individual assessment
Interim Assignment(s) / Tests:
Hands-on analytics quizzes – Individual assessment
Literature
This course is article based. Readings are specified in the coursemanual.
Explanation Canvas
Use of Canvas is mandatory. All the updates regarding the coursecontent, schedules, masterclass enrolments, quizzes and grading will be
communicated on Canvas.
Recommended background knowledge
Knowledge of the fundamentals of statistics.Recommended knowledge Elementary course on (Management) Information
Systems (for example: Laudon, K.C. & Laudon, J.P. (2016). Essentials of
MIS (12th edition).
BK: 2.1 Business Information Technology
IBA: 2.1 Business Information Systems