Course Information
SemesterCourse Unit CodeCourse Unit TitleT+P+LCreditNumber of ECTS Credits
6MIS 322Decision Support Systems3+0+035

Course Details
Language of Instruction English
Level of Course Unit Bachelor's Degree
Department / Program MANAGEMENT INFORMATION SYSTEMS
Mode of Delivery Face to Face
Type of Course Unit Compulsory
Objectives of the Course To teach concepts of foundations of decision making and decision support
Course Content the concept of decision support systems, decision making models, phases of the
decision making process
Course Methods and Techniques
Prerequisites and co-requisities None
Course Coordinator None
Name of Lecturers Prof.Dr. Cem Harun Meydan cem.harun.meydan@ankarabilim.edu.tr
Assistants None
Work Placement(s) No

Recommended or Required Reading
Resources 1. Turban E, Sharda R., Delen D. (2011) Decision Support and Business Intelligence Systems, Ninth Edition, Pearson. 2. Turban E, Sharda R., Delen D. (2014). Business Intelligence and Analytics: Systems for Decision Support, Tenth Edition, Pearson.
1. Turban E, Sharda R., Delen D. (2011) Decision Support and Business
Intelligence Systems, Ninth Edition, Pearson.
2. Turban E, Sharda R., Delen D. (2014). Business Intelligence and Analytics:
Systems for Decision Support, Tenth Edition, Pearson.

Course Category
Mathematics and Basic Sciences %100

Planned Learning Activities and Teaching Methods
Activities are given in detail in the section of "Assessment Methods and Criteria" and "Workload Calculation"

Assessment Methods and Criteria
In-Term Studies Quantity Percentage
Mid-terms 1 % 40
Practice 8 % 0
Final examination 1 % 60
Total
10
% 100

 
ECTS Allocated Based on Student Workload
Activities Quantity Duration Total Work Load
Course Duration 14 3 42
Hours for off-the-c.r.stud 14 5 70
Assignments 14 2 28
Mid-terms 1 2 2
Final examination 1 2 2
Total Work Load   Number of ECTS Credits 5 144

Course Learning Outcomes: Upon the successful completion of this course, students will be able to:
NoLearning Outcomes
1 undertand the decision and decision making
2 understand DSS components and how they integrate
3 analyze business cases and solve business problems
4 apply analytical skills through the use of the software decision support tools
5 use and design spreadsheets for DSS modeling and solution


Weekly Detailed Course Contents
WeekTopicsStudy MaterialsMaterials
1 Introduction
2 Building project teams
3 From business idea to business case
4 Industry trends and competitive analysis
5 Industry risk analysis
6 Project budget and scheduling
7 Mid- term exam
8 Market assessment and forecasting
9 Cash flow model
10 Scenario model
11 Business plan development
12 Creating strategic narrative and preparing presentation for investors
13 Case study
14 Case study
15 Discussion
16 Final Exam


Contribution of Learning Outcomes to Programme Outcomes
P1 P2 P3 P4 P5 P6 P7 P8 P9 P10 P11
All 2 4 4 5 3 2 3 4 3 4 4
C1 2 4 4 5 3 2 3 3 4 3 3
C2 3 4 4 4 3 3 2 3 4 3 4
C3 3 4 4 4 3 4 4 2 3 4 3
C4 2 4 3 4 2 3 3 4 4 3 3
C5 3 5 3 5 3 2 3 2 3 2 3

Contribution: 1: Very Slight 2:Slight 3:Moderate 4:Significant 5:Very Significant


https://obs.ankarabilim.edu.tr/oibs/bologna/progCourseDetails.aspx?curCourse=50628&lang=en&curProgID=5813