Civil Engineering with Thesis
Master	TR-NQF-HE: Level 7	QF-EHEA: Second Cycle	EQF-LLL: Level 7

General course introduction information

Course Code:

MY505

Course Name:

Decision Models

Course Semester:

Fall
Spring

Course Credits:

Theoretical	Practical	Credit	ECTS
3	0	3	10

Language of instruction:

Course Requisites:

Does the Course Require Work Experience?:

Type of course:

Department Elective

Course Level:

Master

TR-NQF-HE:7. Master`s Degree

QF-EHEA:Second Cycle

EQF-LLL:7. Master`s Degree

Mode of Delivery:

Face to face

Course Coordinator :

Ar.Gör. AHMET SELÇUK YALÇIN

Course Lecturer(s):

Öğr.Gör. MELEK NAR ÇEVİK

Course Assistants:

Course Objective and Content

Course Objectives:

To be able to comprehend analysis techniques and tools of complex business situations to make scientific decisions.

Course Content:

In this course, students will be able to determine their decision situations, determine and use decision rules based on this situation, decision trees, utility theory, evaluation methods of information and additional information, multi-criteria decision models, solution concepts for these models and calculation methods of solutions, target programming. problems and methods of analysis of their solutions are taught.

Learning Outcomes

The students who have succeeded in this course;

Learning Outcomes

1 - Knowledge
Theoretical - Conceptual
1) Will be able to define Decision and Decision Problem
2) Will be able to define the decision criteria used in uncertainty and risk environment
3) Will be able to explain Decision Tree and Bayes Theorem
4) Will be able to define Nonlinear Models
2 - Skills
Cognitive - Practical
3 - Competences
Communication and Social Competence
Learning Competence
Field Specific Competence
Competence to Work Independently and Take Responsibility

Lesson Plan

Week	Subject	Related Preparation
1)	Components of the Decision and Decision Problem
2)	Decision Types and Decision Making Process
3)	Decision Making in an Environment of Uncertainty
4)	Decision Making in Risk Environment
5)	Decision Trees
6)	Bayes' Theorem in Decision Making
7)	Expected Value of Exact Information
8)	Midterm
9)	Fundamentals of Nonlinear Programming
10)	Constrained and Unconstrained Optimization Problems
11)	Basic Concepts of Graph Models
12)	Shortest Path Problems
13)	Highest Flow and Smallest Propagation Problem
14)	Simulation Models
15)	Using Simulation in Queuing Problems
16)

Sources

Course Notes / Textbooks:
References:

Course-Program Learning Outcome Relationship

Learning Outcomes	1	2	3	4
Program Outcomes
1) Describe the broad multidisciplinary scope of Civil Engineering and the interaction between related disciplines.
2) Repeats the current techniques and methods applied in the field of Civil Engineering, their limitations, effects and results.
3) Conducts applied research in the field of Civil Engineering, reaches the information in depth and in depth, evaluates and applies the information.
4) Applies modeling and experimental research; analyzes complex situations encountered in this process.
5) Uses advanced methods and software used in the field of technology and communication technologies.
6) Reaches in-depth and in-depth knowledge by performing applied research in the field of technology, evaluates and applies information.
7) Conveys the process and results of the studies systematically in written, oral and visual form in national and international environments in and out of civil engineering field.

Course - Learning Outcome Relationship

No Effect	1 Lowest	2 Low	3 Average	4 High	5 Highest

	Program Outcomes	Level of Contribution
1)	Describe the broad multidisciplinary scope of Civil Engineering and the interaction between related disciplines.	3
2)	Repeats the current techniques and methods applied in the field of Civil Engineering, their limitations, effects and results.	3
3)	Conducts applied research in the field of Civil Engineering, reaches the information in depth and in depth, evaluates and applies the information.	3
4)	Applies modeling and experimental research; analyzes complex situations encountered in this process.	3
5)	Uses advanced methods and software used in the field of technology and communication technologies.	3
6)	Reaches in-depth and in-depth knowledge by performing applied research in the field of technology, evaluates and applies information.	3
7)	Conveys the process and results of the studies systematically in written, oral and visual form in national and international environments in and out of civil engineering field.	3

Learning Activity and Teaching Methods

Expression
Brainstorming/ Six tihnking hats
Individual study and homework
Group study and homework
Homework

Assessment & Grading Methods and Criteria

Written Exam (Open-ended questions, multiple choice, true-false, matching, fill in the blanks, sequencing)
Homework
Application
Individual Project
Group project
Presentation

Assessment & Grading

Semester Requirements	Number of Activities	Level of Contribution
Midterms	1	% 40
Final	1	% 60
total		% 100
PERCENTAGE OF SEMESTER WORK		% 40
PERCENTAGE OF FINAL WORK		% 60
total		% 100

Workload and ECTS Credit Grading

Activities	Number of Activities	Duration (Hours)	Workload
Course Hours	14	3	42
Application	10	5	50
Study Hours Out of Class	15	10	150
Project	5	3	15
Midterms	1	3	3
Paper Submission	6	5	30
Final	1	3	3
Total Workload			293