|Website:||website containing additional information|
|Period:||period 4 (week 17 through 27, i.e., 20-4-2015 through 3-7-2015; retake week 34)
|Participants:||up till now 32 subscriptions|
|Schedule:||Official schedule representation can be found in Osiris|
|Teachers:||Dit is een oud rooster!
|week: 26||Thu 28-6-2018||17.00-20.00 uur||room: EDUC-THEATRON|
|week: 28||Thu 12-7-2018||13.30-16.30 uur||room: EDUC-ALFA||retake exam|
This course deals with a collection of computer technologies that support managerial decision making by providing information of both internal and external aspects of operations. They have had a profound impact on corporate strategy, performance, and competitiveness, and are collectively known as business intelligence.
This course has been designed with the following learning objectives in mind:
During this course the following BI topics will be covered:
Understand the fundamentals of the collection of technologies called Business Intelligence (BI)
Understand the relationships between BI technologies within a typical BI architecture
Relate the theoretical foundations to professional experiences in daily practice
Experience the typical steps performed in a BI implementation project
Obtain hands-on experience with professional BI tooling
Understand current state-of-the-art research in BI technologies
Reporting and online analytic processing (i.e., descriptive analytics)
Quantitative analysis and operations research (i.e., predictive analytics)
Management communications (written and oral)
Systems analysis and design
|Literature:||The lectures will be centered around the well-known book which you need to have in your possession before lecture 1:
A newer edition is fine as well.
AD ALERT: One option is to buy the book from A-Eskwadraat.|
This course book has the following structure:
Also, a number of scientific papers will be part of the study materials.
Introduction to Business Intelligence
Business Performance Management
Data Mining for Business Intelligence
Text and Web Mining
Business Intelligence Implementation: Integration and Emerging Trends
These are listed on the Course website's Materials Download page (only accessible by course students).
|Course form:||In general, the course is structured around the principle of 6 contact hours a week:|
Also, we will have a crash course BI using Jedox in weeks 3 and 4, and present the results in week 5!.
Tue 13:15-15.00 - Lectures, either by Marco, Floris, or a guest.
- Thu 09:00-10.45 - Lectures, either by Marco, Floris, or a guest.
- Thu 11:00-12.45 - Workshops where you will work on your BI team project. Also, project milestone team presentations will occasionally be held.
|Exam form:||Balancing out theory, practice and participation on BI is also reflected in the course grading balance:
Final grade: (5 * (0.04 * McExam)) + (0.3 * OpenExam) + (0.25 * Project) + (0.1 * Assignments) + (0.15 * Talks+Participation)
- Exam: 1 written open exam, as well as 5 multiple-choice mini-exams (one for each chapter), with one second-chance exam opportunity in August.
- Project: 1 BI team project grade, consisting of the final project deliverables: working prototype, oral presentation and written report.
- Assignments: the Jedox DWH presentation and the Meta-algorithmics report.
- Talks: Most notably, scientific paper analysis talk, but also including project milestone and other presentations.
- Participation: Your fair grading of other students' work.
IMPORTANT: In order to pass this course, you need to have scored at least a 4.0 for each course component.
|Minimum effort to qualify for 2nd chance exam:||In order to qualify for 2nd chance exam, you need to have scored at least a 4.0 for each course component specified in Exam form.|
|Description:||Please refer to the MBIN course website for more info.|