Psychology | |||||
Bachelor | Length of the Programme: 4 | Number of Credits: 240 | TR-NQF-HE: Level 6 | QF-EHEA: First Cycle | EQF: Level 6 |
School/Faculty/Institute | Faculty of Engineering | ||||||
Course Code | IE 202 | ||||||
Course Title in English | Operations Research I | ||||||
Course Title in Turkish | Yöneylem Araştırması I | ||||||
Language of Instruction | EN | ||||||
Type of Course | Flipped Classroom | ||||||
Level of Course | Intermediate | ||||||
Semester | Spring | ||||||
Contact Hours per Week |
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Estimated Student Workload | 160 hours per semester | ||||||
Number of Credits | 6 ECTS | ||||||
Grading Mode | Standard Letter Grade | ||||||
Pre-requisites |
MATH 211 - Linear Algebra |
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Expected Prior Knowledge | Prior knowledge in matrix theory | ||||||
Co-requisites | None | ||||||
Registration Restrictions | none | ||||||
Overall Educational Objective | To learn deterministic operations research methodologies. | ||||||
Course Description | This course introduces the most widely used deterministic operations research methodologies. The following topics are covered: introduction to operations research & linear programming (LP); model formulation; graphical solution procedure; selected LP applications; Simplex method; big-M method; two phase method; special cases in Simplex method; matrix representation of the Simplex method; graphical sensitivity analysis; dual problem; duality theorems; complementary slackness theorem; economic interpretation of duality; dual Simplex method; post optimality analysis; transportation problem; assignment problem. | ||||||
Course Description in Turkish | Bu ders, en yaygın kullanımı olan deterministik yöneylem araştırması yöntembilimlerini tanıtır. Ders boyunca yöneylem araştırmasına giriş & doğrusal programlama; model formüle etme; grafik çözüm yöntemi; seçilmiş doğrusal programlama uygulamaları; Simplex yöntemi; büyük M yöntemi; iki faz yöntemi; Simplex yönteminde özel durumlar; Simplex yönteminin matris temsili; grafiksel duyarlılık analizi; eşlek problem; dualite önermeleri; tümler gevşeklik önermesi; dualitenin ekonomik yorumu; eşlek Simplex yöntemi; hassas analiz; ulaşım problemi; atama problemi. |
Course Learning Outcomes and CompetencesUpon successful completion of the course, the learner is expected to be able to:1) formulate linear programming/integer programming models; 2) solve and analyze linear programming problems; 3) comprehend the basics and usage of Simplex algorithm; 4) explain the relation between primal and dual solutions and give the economic interpretation of dual solutions; 5) follow solution techniques for specialized linear programming problems such as transportation and assignment problems; 6) function effectively as a member of a team; 7) use OR software to solve mathematical models. |
Program Learning Outcomes/Course Learning Outcomes | 1 | 2 | 3 | 4 | 5 | 6 | 7 |
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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. |
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 , March 2024 |
Course Coordinator | HANDE KÜÇÜKAYDIN |
Semester | Spring |
Name of Instructor | Asst. Prof. Dr. FİLİZ GÜRTUNA |
Week | Subject |
1) | Introduction to Operations Research (OR) & Linear Programming (LP) Modeling |
2) | Graphical LP Solution & Model Formulation |
3) | Selected LP Applications & Introduction to Simplex Method |
4) | Simplex Method |
5) | Simplex Method, Starting Methods |
6) | Starting Methods, Sensitivity Analysis |
7) | Sensitivity Analysis |
8) | Matrix Representation of the Simplex Method |
9) | Duality |
10) | Duality & Dual Simplex Method |
11) | Post-Optimal Analysis |
12) | Post-Optimal Analysis, Transportation Problem |
13) | Transportation Problem |
14) | Assignment Problem |
15) | Final Exam/Project/Presentation Period |
16) | Final Exam/Project/Presentation Period |
Required/Recommended Readings | • Taha, H. A. (2017). Operations Research: An Introduction (10th Edition). Upper Saddle River, New Jersey: Pearson • Winston, W.L. (2003). Operations Research: Applications and Algorithms (4th Edition). Cengage Learning | ||||||||||||||||||
Teaching Methods | Lectures/contact hours using “flipped classroom” as an active learning technique | ||||||||||||||||||
Homework and Projects | 1 mini-project regarding the use of a linear programming solver | ||||||||||||||||||
Laboratory Work | none | ||||||||||||||||||
Computer Use | GAMS | ||||||||||||||||||
Other Activities | |||||||||||||||||||
Assessment Methods |
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Course Administration |
hande.kucukaydin@mef.edu.tr +902123953631 Instructor’s -office and phone number: 5th floor, 212 3953631 -office hours: TBA -email address: hande.kucukaydin@mef.edu.tr Exams and quizzes: Closed book and closed notes. Rules for attendance: YÖK regulations. You are responsible for the announcements made in class. Rules for late submission of assignments: N/A 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 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: You are expected to be present without exception and to plan any travel around these dates accordingly. Medical emergencies are of course excluded if accompanied by a doctor’s note. A note indicating that you were seen at the health center on the day of the exam is not a sufficient documentation of medically excused absence from the exam. The note must say that you were medically unable to take the exam. Provided that proper documents of excuse are presented, a make-up exam will be given for each missed midterm. If you fail to take the exam on the assigned day and do not have a valid excuse, you will be given zero (0) on the exam. Employment interviews, employer events, weddings, vacations, etc. are not excused absences. Eligibility to take the final exam: YÖK regulations. 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) extendable up to 72 hours, with submissions |
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 | 70 | ||
Project | 1 | 1 | 5 | 20 | 26 | ||
Quiz(zes) | 3 | 4 | 1 | 15 | |||
Midterm(s) | 1 | 20 | 2 | 22 | |||
Final Examination | 1 | 25 | 2 | 27 | |||
Total Workload | 160 | ||||||
Total Workload/25 | 6.4 | ||||||
ECTS | 6 |