Information Package / Course Catalogue
| 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 439 | ||||
| Course Title in English | Machine Scheduling | ||||
| Course Title in Turkish | Makine Çizelgelemesi | ||||
| Language of Instruction | EN | ||||
| Type of Course | Flipped Classroom | ||||
| Level of Course | Introductory | ||||
| Semester | Fall | ||||
| Contact Hours per Week |
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| Estimated Student Workload | 148 hours per semester | ||||
| Number of Credits | 6 ECTS | ||||
| Grading Mode | Standard Letter Grade | ||||
| Pre-requisites |
IE 104 - Computational Methods for IE IE 202 - Operations Research I |
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| Expected Prior Knowledge | None | ||||
| Co-requisites | None | ||||
| Registration Restrictions | Only undergraduate students | ||||
| Overall Educational Objective | To acquire knowledge and skills to analyze, design, and implement efficient scheduling algorithms to optimize resource utilization and minimize production makespan in various industrial settings. | ||||
| Course Description | This course introduces students to fundamental scheduling problems, their complexity, and algorithmic approaches to solve them. Through theoretical discussions, practical examples, and hands-on exercises, students will gain a comprehensive understanding of scheduling challenges and strategies to address them. | ||||
| Course Description in Turkish | Bu ders, öğrencilere temel çizelgeleme problemlerini, bunların karmaşıklığını ve bunları çözmek için algoritmik yaklaşımları tanıtır. Teorik tartışmalar, pratik örnekler ve uygulamalı alıştırmalar yoluyla öğrenciler, planlama zorlukları ve bunları ele almak için stratejiler hakkında kapsamlı bir anlayış kazanacaklardır. |
Course Learning Outcomes and CompetencesUpon successful completion of the course, the learner is expected to be able to:1) identify and classify machine scheduling problems, their characteristics and complexities, 2) analyze and evaluate classic scheduling algorithms and heuristics, 3) design and develop effective strategies to optimize machine schedules, 4) apply scheduling theory to real-life cases. |
| Program Learning Outcomes/Course Learning Outcomes | 1 | 2 | 3 | 4 |
|---|---|---|---|---|
| 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 | UTKU KOÇ , December 2023 |
| Course Coordinator | UTKU KOÇ |
| Semester | Fall |
| Name of Instructor | Asst. Prof. Dr. UTKU KOÇ |
Course Contents
| Week | Subject |
| 1) | Introduction, Framework and Concepts |
| 2) | Classes of Schedules and Complexity Single Machine Scheduling (deterministic) |
| 3) | Single Machine Scheduling (deterministic) |
| 4) | Single Machine Scheduling (deterministic) |
| 5) | Parallel Machine Scheduling (deterministic) |
| 6) | Parallel Machine Scheduling (deterministic) |
| 7) | Flow Shops Scheduling (deterministic) |
| 8) | Flow Shops Scheduling (deterministic) |
| 9) | Job Shops Scheduling (deterministic) |
| 10) | Job Shops Scheduling (deterministic) |
| 11) | Open Shop Scheduling (deterministic) |
| 12) | Stochastic Model Preliminaries |
| 13) | Scheduling in Practice |
| 14) | Review and Conclusion |
| 15) | Final Exam/Project/Presentation Period |
| 16) | Final Exam/Project/Presentation Period |
| Required/Recommended Readings | Required: ● Michael L. Pinedo, “Scheduling: Theory, Algorithms, and Systems” 5th edition, Springer | ||||||||||||||||||
| Teaching Methods | |||||||||||||||||||
| Homework and Projects | |||||||||||||||||||
| Laboratory Work | |||||||||||||||||||
| Computer Use | Students are expected to use computer programs for the course project. | ||||||||||||||||||
| Other Activities | |||||||||||||||||||
| Assessment Methods |
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| Course Administration |
kocu@mef.edu.tr Course Instructor: Asst. Prof. Utku Koç, email: kocu@mef.edu.tr, office: A519 Course Teaching Assistant: TBA Lecture time and place: Tuesday 10:00 – 13:00 / Office hours: TBA Pre-lecture videos: Attendance/participation: According to Law on Higher Education Arti. 54, students are required to attend at least 70% of the lectures. Students are expected to prepare for the lecture via pre-lecture videos and reading materials and attend the lectures. Formal use of e-mails: The course instructor assumes that any information sent through email will be received in 24 hours, unless a system problem occurs. Project: A term project will be assigned. Students are required to get at least 50 / 100 from the project in order to pass. Inappropriate conduct, academic dishonesty and plagiarism are subject to YÖK Disciplinary Regulation. |
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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 | 2 | 3 | 1 | 84 | ||
| Project | 1 | 50 | 2 | 52 | |||
| Quiz(zes) | 4 | 2 | 1 | 12 | |||
| Total Workload | 148 | ||||||
| Total Workload/25 | 5.9 | ||||||
| ECTS | 6 | ||||||