Website: | website containing additional information |
Course code: | INFOMBIN |
Credits: | 7.5 ECTS |
Period: | period 4 (week 17 through 27, i.e., 20-4-2015 through 3-7-2015; retake week 34)
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Timeslot: | C |
Participants: | up till now 32 subscriptions |
Schedule: | Official schedule representation can be found in Osiris |
Teachers: | Dit is een oud rooster!
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Exam: |
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 |
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Contents: | 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:
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Understand the fundamentals of the collection of technologies called Business Intelligence (BI)
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Understand the relationships between BI technologies within a typical BI architecture
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Relate the theoretical foundations to professional experiences in daily practice
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Experience the typical steps performed in a BI implementation project
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Obtain hands-on experience with professional BI tooling
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Understand current state-of-the-art research in BI technologies
During this course the following BI topics will be covered:
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Business perspective
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Statistics
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Data management
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Data integration
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Data warehousing
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Data mining
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Reporting and online analytic processing (i.e., descriptive analytics)
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Quantitative analysis and operations research (i.e., predictive analytics)
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Management communications (written and oral)
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Systems analysis and design
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Software development
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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:
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Introduction to Business Intelligence
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Data Warehousing
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Business Performance Management
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Data Mining for Business Intelligence
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Text and Web Mining
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Business Intelligence Implementation: Integration and Emerging Trends
Also, a number of scientific papers will be part of the study materials.
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:-
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.
Also, we will have a crash course BI using Jedox in weeks 3 and 4, and present the results in week 5!. |
Exam form: | Balancing out theory, practice and participation on BI is also reflected in the course grading balance:
- 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.
Final grade: (5 * (0.04 * McExam)) + (0.3 * OpenExam) + (0.25 * Project) + (0.1 * Assignments) + (0.15 * Talks+Participation)
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. |