NUMERICAL DECISION MAKING METHODS PROGRAMME COURSE DESCRIPTION

Code	Name of the Course Unit	Semester	In-Class Hours (T+P)	Credit	ECTS Credit
YBS321	NUMERICAL DECISION MAKING METHODS	5	3	3	5

GENERAL INFORMATION
Language of Instruction :	Turkish
Level of the Course Unit :	BACHELOR'S DEGREE, TYY: + 6.Level, EQF-LLL: 6.Level, QF-EHEA: First Cycle
Type of the Course :	Elective
Mode of Delivery of the Course Unit	-
Coordinator of the Course Unit	Assist.Prof. GÜLŞEN FİLAZOĞLU ÇOKLUK
Instructor(s) of the Course Unit
Course Prerequisite	No

OBJECTIVES AND CONTENTS
Objectives of the Course Unit:	This course aims to make use of the mathematical models to solve decision problems and their applications, to identify the correct method, to identify and to perform the necessary analyses.
Contents of the Course Unit:	Contents of the course include theoretical and practical teaching of the subjects such as project management, production planning and inventory control, mass production planning, stock control systems, process management and capacity planning, modelling, linear programming, optimization problems, business design, quality control, transmission model, assignment model and transfer model, project programming and control techniques-PERT/CPM, decision analysis, game theory, queuing theory, decision-making, decision-making problems, decision-making process, benefit theory, certainty, decision-making under uncertainty and risk, numerical decision-making, computer aided decision-making, computer aided problem solving and simulation.

KEY LEARNING OUTCOMES OF THE COURSE UNIT (On successful completion of this course unit, students/learners will or will be able to)
Use optimization problems (linear programming models) as a tool for decision making.
Evaluate the resources effectively for the organization.
Analyze existing resources for efficiency.
Distinguish between efficient and inefficient sources.

WEEKLY COURSE CONTENTS AND STUDY MATERIALS FOR PRELIMINARY & FURTHER STUDY
Week	Preparatory	Topics(Subjects)	Method
1	-	Numerical decision-making techniques General introduction	Lecture & Practice – Exercise & Team/Group Work
2	Literature Review	Model concept and optimization, introduction to linear programming	Lecture & Practice – Exercise & Team/Group Work
3	Literature Review	Linear programming: basic concepts and modelling	Lecture & Practice – Exercise & Team/Group Work
4	Literature Review	Linear programming: solution concept	Lecture & Practice – Exercise & Team/Group Work
5	Literature Review	Linear programming: sensitivity analysis	Lecture & Practice – Exercise & Team/Group Work
6	Literature Review	Linear programming: Simplex method and Duality	Lecture & Practice – Exercise & Team/Group Work
7	Literature Review	Integer Linear programming: Modelling	Lecture & Practice – Exercise & Team/Group Work
8	-	MID-TERM EXAM	-
9	Literature Review	0 – 1 programming: Modelling	Lecture & Practice – Exercise & Team/Group Work
10	Literature Review	Data envelopment analysis	Lecture & Practice – Exercise & Team/Group Work
11	Literature Review	Markov analysis	Lecture & Practice – Exercise & Team/Group Work
12	Literature Review	Estimation methods	Lecture & Practice – Exercise & Team/Group Work
13	Literature Review	Decision-making analysis: decision making under uncertainty	Lecture & Practice – Exercise & Team/Group Work
14	Literature Review	Decision-making analysis: decision making under risk	Lecture & Practice – Exercise & Team/Group Work
15	Literature Review	Introduction to project management	Lecture & Practice – Exercise & Team/Group Work
16	-	FINAL EXAM	-
17	-	FINAL EXAM	-

SOURCE MATERIALS & RECOMMENDED READING
Celikbilek, Y. (2018). Cok Kriterli Karar Verme Yontemleri - Aciklamalı ve Karsilastirmali Saglik Bilimleri Uygulamalari. Nobel Akademik Publications.
Ozcan, Y. (2013). Saglik Kurumlari Yonetiminde Sayısal Yontemler–Teknikler ve Uygulamalar. Cevirenler: Sahin Kavuncubasi ve Selami Yildirim. Siyasal Bookstore.
Timor, M. (2010). Yoneylem arastirmasi. Turkmen Bookstore.

ASSESSMENT
Assessment & Grading of In-Term Activities	Number of Activities	Degree of Contribution (%)	Description

Level of Contribution
0	1	2	3	4	5

KNOWLEDGE
Theoretical
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Use knowledge sources consisting of the most effective methods and up-to-date information, implementation of tools and materials about psychology and supporting disciplinaries. (Blooms 3)
2	Determine problems in the field of psychology and solve them. (Blooms 3)

KNOWLEDGE
Factual
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Discriminate between normal and abnormal behaviours. (Blooms 2)
2	Interpret psychology researches and report on them. (Blooms 3)

SKILLS
Cognitive
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Relate between psychology and other social sciences on relations. (Blooms 4)

SKILLS
Practical
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Apply psychological tests. (Blooms 3)
2	Integrate knowledge and skills gained on the theories of contemporary psychology in the phases of helping individuals. (Blooms 6)
3	Conduct several experiments in the field of psychology. (Blooms 6)

OCCUPATIONAL
Autonomy & Responsibility
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Collaborate with relevant organizations and individuals on the field studies. (Blooms 6)

OCCUPATIONAL
Learning to Learn
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Integrate developments in the field of psychology to the existing knowledge. (Blooms 6)
2	Scientifically analyse human behaviours. (Blooms 4)

OCCUPATIONAL
Communication & Social
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Explain knowledge and ideas gained in the field fluently and apprehensibly in a written way and verbally. (Blooms 2)
2	Recognize individual, national and universal effects of problems in the field of psychology. (Blooms 2)

OCCUPATIONAL
Occupational and/or Vocational
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Integrate computer software and hardware and statistics in the field of psychology to their studies. (Blooms 6)
2	Survey developments in informatics and communication technologies. (Blooms 4)
3	Support social projects in the field of psychology. (Blooms 5)

WORKLOAD & ECTS CREDITS OF THE COURSE UNIT
Workload for Learning & Teaching Activities
Type of the Learning Activites	Learning Activities (# of week)	Duration (hours, h)	Workload (h)
Lecture & In-Class Activities	14	3	42
Preliminary & Further Study	13	2	26
Land Surveying	0	0	0
Group Work	0	0	0
Laboratory	0	0	0
Reading	0	0	0
Assignment (Homework)	0	0	0
Project Work	0	0	0
Seminar	0	0	0
Internship	0	0	0
Technical Visit	0	0	0
Web Based Learning	0	0	0
Implementation/Application/Practice	0	0	0
Practice at a workplace	0	0	0
Occupational Activity	0	0	0
Social Activity	0	0	0
Thesis Work	0	0	0
Field Study	0	0	0
Report Writing	0	0	0
Final Exam	1	1	1
Preparation for the Final Exam	7	5	35
Mid-Term Exam	1	1	1
Preparation for the Mid-Term Exam	5	4	20
Short Exam	0	0	0
Preparation for the Short Exam	0	0	0
TOTAL	41	0	125