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Course module: 346242-B-6
346242-B-6
Decision Support Systems
Course info
Course module346242-B-6
Credits (ECTS)6
CategoryBA (Bachelor)
Course typeCourse
Language of instructionEnglish
Offered byTilburg University; Tilburg School of Economics and Management; TiSEM: Management; TiSEM: Management;
Is part of
Minor Information & Supply Chain Management
Minor Elective Minor
Lecturer(s)
Lecturer
dr. E.A.M. Caron
Other course modules lecturer
Lecturer
P.K. Medappa
Other course modules lecturer
Academic year2019
Starting block
SM 1
Course mode
Full-time
Remarks-
Registration openfrom 19/08/2019 up to and including 24/01/2020
Aims
Many decisions in professional and private life are taken on the basis of data that come from all sorts of information systems. Decision Support Systems (DSS) and Business Intelligence & Analytics are about the way we can use data stored in those information systems to generate new and useful information, that can support executive managers in taking business decisions. For example, information that identifies potential risks (or new opportunities) for the company, like: excessive costs, improper inventory levels, bad scores on key performance indicators, high customer churn, potential fraud, etc. In this course, we will introduce concepts and computerized methods for, data- and knowledge-driven, decision-making.

After completing this course, students will be able to:
  • identify the need for computerized support of managerial decision-making, and the conceptual foundations and technologies of the DSS methodology.
  • comment on descriptive and reporting analytics. In addition, students have to develop a performance dashboard for decision and risk analysis.
  • use the data mining process for the development of analytics on business data. Comment on the objectives and benefits of data mining.
  • evaluate neural networks algorithms and/or other data mining models. In addition, students are able to analyse data sets using neural networks for predictive analytics.
  • explain the characteristics of knowledge management and apply its concepts in a business setting.
  • work with dedicated software for DSS:
    • MS Access for database management;
    • MS PowerBI for performance dashboard development;
    • Software to develop a rule-based knowledge system;
    • and software for data mining.
Specifics
The grading is determined for 60% by a written exam and for 40% by a practical part. The practical part includes:
  1. The development of a performance dashboard with visual analytics for business decision support;
  2. The development of a knowledge-based (expert) system, that gives advice related to a decision-making problem.
  3. The development of a data mining model in support of business decision-making.
Development entails: system design, data analysis, the writing of a paper, and presentations.
 
The mark for the practical part and written exam, should both be at least 4.5 out of 10. Partial results (exam, practical part) are not valid in the next year.

Recommended prerequisites
Management and Information Systems (330093)
 
Content
The course consists of three main domains related to computerized techniques for decision support:
  1. Descriptive analytics: Here we explain how data is organized in a data warehouse as a prior step to decision analysis. From the data warehouse, business reports, queries, alerts, and trends can be developed using various reporting tools and techniques, such as OLAP and performance dashboards;
  2. Predictive analytics: Here we discuss the data mining process and how to predict economic and business variables by mining data with neural networks and/or other data mining models.
  3. Prescriptive analytics: Here we give an introduction to artificial intelligence, knowledge-based (expert) systems (KBS), and knowledge management. KBS's can be used to identify and assess risks in various business domains and applications.
Type of instructions
Lectures, computer labs, and group assignments/projects.
 
Type of exams
See specifics.
Course available for exchange students
Bachelor level
Contact person
dr. E.A.M. Caron
Timetable information
Decision Support Systems
Written test opportunities
DescriptionTestBlockOpportunityDate
Written test opportunities (HIST)
DescriptionTestBlockOpportunityDate
Schriftelijk tentamen 60% / Written exam 60%EXAM_01SM 1117-12-2019
Schriftelijk tentamen 60% / Written exam 60%EXAM_01SM 1224-01-2020
Required materials
Literature
• Scientific articles. All required literature will be made available to students on the Blackboard in electronic form.
Recommended materials
Literature
Note. This book is only recommended.
ISBN:9781292009209
Title:Business Intelligence and Analytics: Systems for Decision Support
Author:Sharda, Delen, and Turban
Publisher:Pearson
Edition:10
Tests
Written exam 60%

Final grade

Practical part 40%

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