Psychology
Bachelor	Length of the Programme: 4	Number of Credits: 240	TR-NQF-HE: Level 6	QF-EHEA: First Cycle	EQF: Level 6

Ders Genel Tanıtım Bilgileri

School/Faculty/Institute

Faculty of Engineering

Course Code

IE 305

Course Title in English

Modeling and Methods in Optimization

Course Title in Turkish

Modelleme ve Optimizasyonda Yöntemler

Language of Instruction

Type of Course

Select

Level of Course

Select

Semester

Fall

Contact Hours per Week

Lecture: 3

Recitation: none

Lab: none

Other: none

Estimated Student Workload

151 hours per semester

Number of Credits

6 ECTS

Grading Mode

Standard Letter Grade

Pre-requisites

IE 202 - Operations Research I
IE 202 - Operations Research I

Expected Prior Knowledge

None

Co-requisites

None

Registration Restrictions

None

Overall Educational Objective

Course Description

Course Description in Turkish

Course Learning Outcomes and Competences

Upon successful completion of the course, the learner is expected to be able to:
1) identify network structure in optimization problems and use suitable solution methods;
2) formulate good mathematical models;
3) explore heuristic algorithms for optimization problems;
4) design suitable heuristic algorithms for optimization problems, analyze and interpret the results, and draw conclusions;
5) give a demonstration of a designed algorithm;
6) function effectively as a member of a team;

Program Learning Outcomes/Course Learning Outcomes	1	2	3	4	5	6
1) Thorough knowledge of the major concepts, theoretical perspectives, empirical findings, and historical trends in psychology.
2) Understanding of and ability to apply essential research methods in psychology, including research design, data analysis, and data interpretation.
3) Competence to use critical and creative thinking, skeptical inquiry and a scientific approach to solving problems related to behavior and mental processes.
4) Understanding and ability to apply psychological principles, skills and values in personal, social, and organizational contexts.
5) Ability to weigh evidence, to tolerate ambiguity, and to reflect other values that underpin psychology as a discipline.
6) Internalization and dissemination of professional ethical standards.
7) Demonstration of competence in information technologies, and the ability to use computer and other technologies for purposes related to the pursuit of knowledge in psychology and the broader social sciences.
8) Skills to communicate the knowledge of psychological science effectively, in a variety of formats, in both Turkish and in English (in English, at least CEFR B2 level).
9) Recognition, understanding, and respect for the complexity of sociocultural and international diversity.
10) Recognition for the need for, and the skills to pursue, lifelong learning, inquiry, and self-improvement.
11) Ability to formulate critical hypotheses based on psychological theory and literature, and design studies to test those hypotheses.
12) Ability to acquire knowledge independently, and to plan one’s own learning.
13) Demonstration of advanced competence in the clarity and composition of written work and presentations.

Relation to Program Outcomes and Competences

N None	S Supportive	H Highly Related

	Program Outcomes and Competences	Level	Assessed by
1)	Thorough knowledge of the major concepts, theoretical perspectives, empirical findings, and historical trends in psychology.	N
2)	Understanding of and ability to apply essential research methods in psychology, including research design, data analysis, and data interpretation.	N
3)	Competence to use critical and creative thinking, skeptical inquiry and a scientific approach to solving problems related to behavior and mental processes.	H	Exam,HW,Participation
4)	Understanding and ability to apply psychological principles, skills and values in personal, social, and organizational contexts.	N
5)	Ability to weigh evidence, to tolerate ambiguity, and to reflect other values that underpin psychology as a discipline.	N
6)	Internalization and dissemination of professional ethical standards.	N
7)	Demonstration of competence in information technologies, and the ability to use computer and other technologies for purposes related to the pursuit of knowledge in psychology and the broader social sciences.	N
8)	Skills to communicate the knowledge of psychological science effectively, in a variety of formats, in both Turkish and in English (in English, at least CEFR B2 level).	N
9)	Recognition, understanding, and respect for the complexity of sociocultural and international diversity.	S	Participation
10)	Recognition for the need for, and the skills to pursue, lifelong learning, inquiry, and self-improvement.	S	HW,Participation
11)	Ability to formulate critical hypotheses based on psychological theory and literature, and design studies to test those hypotheses.	N
12)	Ability to acquire knowledge independently, and to plan one’s own learning.	S	Exam,HW
13)	Demonstration of advanced competence in the clarity and composition of written work and presentations.	H	Exam,HW

Prepared by and Date	HANDE KÜÇÜKAYDIN ,
Course Coordinator	HANDE KÜÇÜKAYDIN
Semester	Fall
Name of Instructor	Asst. Prof. Dr. HANDE KÜÇÜKAYDIN

Course Contents

Week	Subject
1)	Network Optimization Models: Shortest Path Problem, Minimal Spanning Tree Problem
2)	Network Optimization Models: Maximum Flow Problem
3)	Building LP Models
4)	Interpreting and Using LP solutions
5)	Interpreting and Using LP solutions, Combinatorial Optimization Problems
6)	Computational Complexity, Heuristics for Combinatorial Optimization: Introduction, Reformulation, Rounding and Decomposition
7)	Heuristics for Combinatorial Optimization: List-processing Heuristics, Neighborhoods and Neighbors, Steepest Descent
8)	Heuristics for Combinatorial Optimization: List-processing Heuristics, Neighborhoods and Neighbors, Steepest Descent
9)	Heuristics for Combinatorial Optimization: Simulated Annealing, Tabu Search, Genetic Algorithms
10)	Non-linear Models in One Variable
11)	Non-linear Models: Convexity and Unconstrained Optimization
12)	Non-linear Models: Constrained Optimization
13)	Integer Linear Models
14)	Deterministic Dynamic Programming
15)	Final Examination Period
16)	Final Examination Period

Required/Recommended Readings

Williams, H. P. (2013). Model Building in Mathematical Programming (5th Edition). Wiley Taha, H. A. (2011). Operations Research: An Introduction (9th Edition). Upper Saddle River, New Jersey: Pearson

Teaching Methods

Lectures/contact hours using “flipped classroom” as an active learning technique

Homework and Projects

2 quizzes and 1 group project (groups of 2 students)

Laboratory Work

None

Computer Use

Visual Basic for Applications

Other Activities

None

Assessment Methods

Assessment Tools	Count	Weight
Quiz(zes)	2	% 10
Project	1	% 20
Midterm(s)	1	% 30
Final Examination	1	% 40
TOTAL		% 100

Course Administration

hande.kucukaydin@mef.edu.tr
+902123953631
Instructor’s office and phone number: 5th Floor, (0212) 3953631 office hours: Tuesday 10:00-12:00 email address: hande.kucukaydin@mef.edu.tr Rules for attendance: Minimum attendance requirement is 70%. Missing a quiz: Provided that proper documents of excuse are presented, a make-up exam will be given for each missed quiz. Missing a project: Project deadlines are always extendable up to 72 hours, with submissions late for (0,24] hours receive 70% of the credit they get, (24,48] hours receive 35% , and (48,72] receive 10%. Missing a midterm: Provided that proper documents of excuse are presented, a make-up exam will be given for each missed midterm. Missing a final: Faculty regulations. A reminder of proper classroom behavior, code of student conduct: YÖK Regulations Statement on plagiarism: YÖK Regulations (http://3fcampus.mef.edu.tr/uploads/cms/webadmin.mef.edu.tr/4833_2.pdf )

ECTS Student Workload Estimation

Activity	No/Weeks	Hours			Calculation
	No/Weeks per Semester	Preparing for the Activity	Spent in the Activity Itself	Completing the Activity Requirements
Course Hours	14	1	3	1.5	77
Project	1	5	20		25
Quiz(zes)	2	4	0.5		9
Midterm(s)	1	20	1.5		21.5
Final Examination	1	25	2		27
Total Workload					159.5
Total Workload/25					6.4
ECTS					6