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COURSE INFORMATION FORM Faculty Faculty of Engineering Program B.Sc. in Civil Engineering Elective B.Sc. in Computer Engineering Elective B.Sc. in Electrical-Electronics Engineering Elective B.Sc. in Industrial Engineering Required B.Sc. in Mechanical Engineering Elective Semester Fall 2016-2017 Course Code IE 101 Course Title in English Introduction to Industrial Engineering Course Title in Turkish Endüstri Mühendisliğine Giriş Language of Instruction English Type of Course Flipped Classroom Level of Course Undergraduate Course Category (by % of Content) Basic Science Semester Offered Fall Contact Hours per Week Lecture: 1 hour Estimated Student Workload 31 hours per semester. Number of Credits 1 ECTS Grading Mode Standard Letter Grade Pre-requisites None Expected Prior Knowledge None Co-requisites None Registration Restrictions Only Undergraduate Students Overall Educational Objective To learn the profession, main topics, and approaches of industrial engineering. Course Description This course provides an introduction to fundamental concepts & approaches of industrial engineering. Following topics are covered: definition & history of industrial engineering; definition & history of operations research (OR); components of an OR model; constructing OR models and categories of OR techniques; linear functions, equalities & inequalities, differences between linear & nonlinear programming; systems of linear equations; sample space & events of experiments; mutually exclusive & collectively exhaustive events; conditional probability; independent events; law of total probability; probability distributions; simple linear regression; problem situation; decision trees; simulation; charts & diagrams; Markov chains; economic order quantity models; lot sizing models. Course Description in Turkish Course Learning Basic Engineering 35 Engineering Design 65 Recitation: - General Education Lab:- Other:- Bu ders, endüstri mühendisliğinin esas kavramları ve yaklaşımları hakkında bilgi veren bir giriş dersidir. Ders, şu konu başlıklarını içermektedir: endüstri mühendisliğinin tanımı & tarihi; yöneylem araştırmasının (YA) tanımı ve tarihi; bir YA modelinin bileşenleri; YA modeli kurma ve YA tekniklerinin sınıfları; doğrusal fonksiyonlar, eşitlikler & eşitsizlikler; deneylerin örnek uzayları & olayları; karşılıklı dışlamalı & birlikte kapsayıcı olaylar; koşullu olasılık; bağımsız olaylar; toplam olasılık yasası; olasılık dağılımları; basit doğrusal regresyon; problem durumları; tablo & şemalar; Markov zincirleri; ekonomik sipariş miktarı modelleri; öbek büyüklüğü modelleri. Upon successful completion of the course, the learner is expected to: Outcomes and Competences 1. 2. 3. 4. apply knowledge of mathematics and engineering, explain the concepts of IE/operations research (OR) principles, analyze a situation and use suitable tools & techniques of IE/OR to solve the problems, model engineering problems and apply basic solution methods to these models. Relation to Student Outcomes and Competences: N=None S=Supportive RelationshipoftheCoursewiththeStudentOutcomesandCompetences (a) an ability to apply knowledge of mathematics, science, and engineering H=Highly Related Level Assessedby N/S/H (Related Learning Outcomes) Exam, Project, HW, Lab, Presentation, etc. H (1,3,4) Exams, Flipped Classroom Practice, Active Learning Activities (b) an ability to design and conduct experiments, as well as to analyze and interpret data N (c) an ability to design a system, component, or process to meet desired needs within realistic constraints such as economic, environmental, social, political, ethical, health and safety, manufacturability, and sustainability N (d) an ability to function on multidisciplinary teams (e) an ability to identify, formulate, and solve engineering problems (f) an understanding of professional and ethical responsibility N H (1,3,4) N (g) an ability to communicate effectively H (1,2,3) (h) the broad education necessary to understand the impact of engineering solutions in a global, economic, environmental, and societal context (i) a recognition of the need for, and an ability to engage in life-long learning Exams, Flipped Classroom Practice, Active Learning Activities Exams, Flipped Classroom Practice, Active Learning Activities N S Flipped Classroom Practice, Active Learning Activities (j) a knowledge of contemporary issues N (k) an ability to use the techniques, skills, and modern engineering tools necessary for engineering practice S Flipped Classroom Practice, Active Learning Activities Prepared by and Date Asst. Prof. Dr. Hande Küçükaydın / October 2016 Name of Instructors Asst. Prof. Dr. Hande Küçükaydın Course Contents Week Topic 1. Definition, history & main topics of industrial engineering 2. Definition & history of operations research (OR), components of an OR model, constructing OR models and categories of OR techniques 3. Linear functions, linear equalities & inequalities, linear & nonlinear programming and their differences 4. Systems of linear equations 5. Sample space & events of experiments, mutually exclusive & collectively exhaustive events, probability calculus including conditional probability & independent events 6. Law of total probability, probability distributions 7. Simple linear regression 8. Problem situation and decision problems 9. Decision trees 10. Simulation 11. Charts and diagrams 12. Markov chains 13. Economic order quantity models 14. Lot sizing models 15. Final Exam Period 16. Final Exam Period Required/Recommended Readings - Teaching Methods Lectures/contact hours using “flipped classroom” as an active learning technique Homework and Projects - Laboratory Work - Computer Use MS Excel Other Activities - Assessment Methods Types of assessment: Number Midterm Exams 1 Classroom Practice Final Exam Total Course Administration Ratio (%) 35 20 1 45 100 Instructor’s office and phone number: 5th Floor, (0212) 3953631 office hours: Monday 9:00-11:00 email address: [email protected] Rules for attendance: Classroom practice contributes to 20% of the final grade. 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. 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 ) Disclaimer: The instructor reserves the right, when necessary, to alter the grading policy, change examination dates, and modify the syllabus and course content. Modifications will be announced in class. Students are responsible for the announced changes. ECTS Student Workload Estimation A ctivity Lecture/F lippedC las s room N o/W eeks Hours N o/W eeks per S emes ter(A ) P reparing forthe A ctivity(B ) S pentintheA ctivity Its elf(C ) 14 0 .5 1 Quiz z es M idterm(s ) A s s ing ment,P roject, P res entation 1 F inalE xamination 1 T otalW orkload T otalW orkload/2 5 EC TS 2 5 1 2 C alculation E xplanation 21 A *(B +C +D ) 0 A *(B +C +D ) 3 A *(B +C +D ) 0 A *(B +C +D ) 7 A *(B +C +D ) C ompleting the A ctivity R equirements (D ) 31 1.2 4 1 PROGRAM CRITERIA 1. Breadth in industrial engineering practice, analysis and design with 17 required course in industrial engineering, and depth in one or more fields with 4 industrial engineering electives. 2. Ability to design, develop, implement and improve integrated systems that include people, materials, information, equipment, and energy. 3. In-depth knowledge of appropriate analytical, experimental and computational methods for system integration. Key verbs for cognitive domain in writing learning outcomes and competences: Key Verbs: Remembering: defines, describes, identifies, knows, labels, lists, matches, names, outlines, recalls, recognizes, reproduces, selects, states. Understanding: comprehends, converts, defends, distinguishes, estimates, explains, extends, generalizes, gives an example, infers, interprets, paraphrases, predicts, rewrites, summarizes, translates. Applying: applies, changes, computes, constructs, demonstrates, discovers, manipulates, modifies, operates, predicts, prepares, produces, relates, shows, solves, uses. Analyzing: analyzes, breaks down, compares, contrasts, diagrams, deconstructs, differentiates, discriminates, distinguishes, identifies, illustrates, infers, outlines, relates, selects, separates. Evaluating: appraises, compares, concludes, contrasts, criticizes, critiques, defends, describes, discriminates, evaluates, explains, interprets, justifies, relates, summarizes, supports. Creating: categorizes, combines, compiles, composes, creates, devises, designs, explains, generates, modifies, organizes, plans, rearranges, reconstructs, relates, reorganizes, revises, rewrites, summarizes, tells, writes. Key verbs for affective domain in writing learning outcomes and competences: Receiving Phenomena: asks, chooses, describes, follows, gives, holds, identifies, locates, names, points to, selects, sits, erects, replies, uses. Responding to Phenomena: answers, assists, aids, complies, conforms, discusses, greets, helps, labels, performs, practices, presents, reads, recites, reports, selects, tells, writes. Valuing: completes, demonstrates, differentiates, explains, follows, forms, initiates, invites, joins, justifies, proposes, reads, reports, selects, shares, studies, works. Organizing: adheres, alters, arranges, combines, compares, completes, defends, explains, formulates, generalizes, identifies, integrates, modifies, orders, organizes, prepares, relates, synthesizes. Internalizing values: acts, discriminates, displays, influences, listens, modifies, performs, practices, proposes, qualifies, questions, revises, serves, solves, verifies.