|Website:||website containing additional information|
|Period:||period 4 (week 17 through 26, i.e., 23-4-2018 through 29-6-2018; retake week 28)
|Participants:||up till now 3 subscriptions|
|Schedule:||Official schedule representation can be found in Osiris|
|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|
|Note:||No up-to-date course description available.|
Text below is from year 2016/2017
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
The lectures will be centered around a current version of the well-known book of which you need to have one edition in your possession before lecture 1:
Even newer editions are most likely fine as well (but do ask us beforehand).
- Sharda,R., Delen,D., Turban,E. (2014). Business Intelligence - A Managerial Perspective on Analytics. Third edition. Pearson. ISBN13:978-1-292-00487-7.
- Turban,E., Sharda,R., King,D., Delen,D. (2011). Business Intelligence - A Managerial Approach. Second, international edition. Pearson. ISBN13:978-0-13-247882-3.
This course book has more or less the following structure:
Also, a number of recent journal papers will be part of the study materials.
An overview of Business Intelligence, Analytics, and Decision support
Business Reporting, Visual Analytics, and Business Performance Management
Text and Web Mining
Big Data and Analytics
Business Analytics: Emerging Trends and Future Impacts
These are listed on the Course website's Materials Download page.
|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 the first weeks!.
Tue 09:00-10:45 - Lectures, either by Marco or a guest.
- Thu 15:15-17.00 - Lectures, either by Marco or a guest.
- Tue 11:00-12.45 - Workshops where you will work on your BI team project. Also, project milestone team presentations will occasionally be held, as specified on the INFOMBIN project assignment page.
|Exam form:||Balancing out theory, practice and participation on BI is also reflected in the course grading balance:
Final grade: (4 * (0.025 * McExam)) + (0.4 * OpenExam) + (0.5 * Project) + (OptionalParticipationBonus)
- THEORY: One individual written open exam on ALL topics covered during the course including any guest lectures and extra assignments, as well as five multiple-choice mini-exams (CH2,CH3,CH4,CH5,CH6+7). Only four of these five grades will be included in the final course formula, which means that you can miss out on one mini-exam in case of sickness or other misfortunes.
- There is one second-chance exam opportunity for the OpenExam in July, before the summer break.
- PRACTICE: One BI team project grade, consisting of the final project deliverables: working prototype, oral presentation, written report. Furthermore, your performance in various assignments, talks, and participation may influence your final grade.
- There is one second-chance report revision opportunity, which needs to be confirmed beforehand by the course team, by properly submitting your revised report second-chance exam date.
IMPORTANT: In order to pass this course, you need to have scored at least a 5.0 for (a) the written open Exam and (b) the Project.
|Minimum effort to qualify for 2nd chance exam:||To qualify for the retake exam, the grade of the original must be at least 4.|
|Description:||Please refer to the MBIN course website for more info.|