Decision Making Process and Models Probability Theory Introduction to Decision Analysis Benefits and game theory, linear Introduction to Programming Linear Programming Applications Markov Chain Analysis Project Planning Queuing Theory Simulation Forecasting Techniques Integer Programming Goal Programming Non-Linear Programming
20
Contribution of the Course to Professional Development
Modeling involves solving a real world problem by converting it into a standard structure. In addition, companies are collecting more and more data day by day. And they hunt for data within these mountains of data. Some computer-based systems have been developed to facilitate these processes. The professional contribution of the course is to familiarize yourself with these practices.
21
Learning Outcomes:
1
To develop decision support systems using tools and methods.;
2
Synthesizing technology used in decision support systems.;
3
Decision support systems design, development and implementation of methods for analyzing and applications;
4
To make assessment of the choice of technology used in the development of decision support systems;
5
Ability to identify and evaluate opportunities to develop decision support systems;
22
Course Content:
Week
Theoretical
Practical
1
An overview of the management support system
2
Decision-makers, decision-making and systems
3
Modeling and Decision Support
4
Decision support systems-Data Management, Module Management, Interface Management
5
Decision Support Systems Design
6
Group decision support systems
7
Corporate Decision Support Systems
8
Decision support and artificial intelligence
9
Artificial Intelligence and Expert Systems
10
Clever factors
11
Decision support systems manager
12
Decision support systems manager
13
Databases, data warehousing, knowledge base
14
Decision support of today and tomorrow
23
Textbooks, References and/or Other Materials:
24
Assesment
TERM LEARNING ACTIVITIES
NUMBER
PERCENT
Midterm Exam
1
40
Quiz
0
0
Homeworks, Performances
0
0
Final Exam
1
60
Total
2
100
Contribution of Term (Year) Learning Activities to Success Grade
40
Contribution of Final Exam to Success Grade
60
Total
100
Measurement and Evaluation Techniques Used in the Course
Measurement and evaluation are performed according to the Rules & Regulations of Bursa Uludağ University on Undergraduate Education.
Information
25
ECTS / WORK LOAD TABLE
Activites
NUMBER
TIME [Hour]
Total WorkLoad [Hour]
Theoretical
14
2
28
Practicals/Labs
14
2
28
Self Study and Preparation
0
0
0
Homeworks, Performances
0
0
0
Projects
0
0
0
Field Studies
0
0
0
Midtermexams
1
20
20
Others
0
0
0
Final Exams
1
20
20
Total WorkLoad
96
Total workload/ 30 hr
3,2
ECTS Credit of the Course
3
26
CONTRIBUTION OF LEARNING OUTCOMES TO PROGRAMME QUALIFICATIONS
