Department of Information and Computing Sciences

Departement Informatica Onderwijs
Bachelor Informatica Informatiekunde Kunstmatige intelligentie Master Computing Science Game&Media Technology Artifical Intelligence Business Informatics

Onderwijs Informatica en Informatiekunde

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Business intelligence

Website:website containing additional information
Course code:INFOMBIN
Credits:7.5 ECTS
Period:periode 4 (week 17 t/m 26, dwz 24-4-2017 t/m 30-6-2017; herkansing week 28)
Timeslot:B
Participants:up till now 58 subscriptions
Schedule:Official schedule representation can be found in Osiris
Teachers:
formgrouptimeweekroomteacher
college   di 9.00-10.4517-25 BBG-165 Marco Spruit
Armel Lefebvre
Vincent Menger
Zhengru Shen
       
di 11.00-12.4522 BBG-223
do 15.15-17.0018-20 BBG-205
22-25 BBG-205
practicum groep 1 di 11.00-12.4517-21 BBG-106 CLZ
23 BBG-106 CLZ
24 UNNIK-222
25-26 BBG-106 CLZ
groep 2 di 11.00-12.4517-21 BBG-109 CLZ
23 BBG-109 CLZ
24 UNNIK-105
25-26 BBG-109 CLZ
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:
  • 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
During this course the following BI topics will be covered:
  • Business perspective
  • Statistics
  • Data management
  • Data integration
  • Data warehousing
  • Data mining
  • 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
  • Software development
Literature: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:
  • 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.
Even newer editions are most likely fine as well (but do ask us beforehand).

This course book has more or less the following structure:

  1. An overview of Business Intelligence, Analytics, and Decision support
  2. Data Warehousing
  3. Business Reporting, Visual Analytics, and Business Performance Management
  4. Data Mining
  5. Text and Web Mining
  6. Big Data and Analytics
  7. Business Analytics: Emerging Trends and Future Impacts
Also, a number of recent journal papers will be part of the study materials.
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:
  • 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.
Also, we will have a crash course BI using Jedox in the first weeks!.
Exam form:Balancing out theory, practice and participation on BI is also reflected in the course grading balance:
  • 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.
Final grade: (4 * (0.025 * McExam)) + (0.4 * OpenExam) + (0.5 * Project) + (OptionalParticipationBonus)

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:In order to qualify for the second chance exam, you need to have scored at least a you need to have scored at least a 4.0 for (a) the written open Exam and (b) the Project.
Description:Please refer to the MBIN course website for more info.
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