Lisans Yönetmelik ve Yönergeleri
 İstanbul Şehir Üniversitesi Lisans Eğitim ve Öğretim Yönetmeliği
 İstanbul Şehir Üniversitesi Yaz Öğretimi Yönetmeliği
 İstanbul Şehir Üniversitesi Üniversite İçi ve Kurumlar Arası Yatay Geçiş Yönergesi
 İstanbul Şehir Üniversitesi Çift Anadal Programı Yönergesi
 İstanbul Şehir Üniversitesi Yandal Programı Yönergesi
 İstanbul Şehir Üniversitesi Burs Yönergesi
Endüstri Mühendisliği Ders Planı
Toplam Kredi: 139 Ortalama Dönemlik Kredi: 17
I. Dönem  
Ders Kodu  Ders Adı  T  P  L  CR  ECTS  Önşart  
UNI 111  Critical Reading and Writing in Turkish I  3  0  0  3  5  –  
UNI xxx  Core Course Elective I  3  0  0  3  5  –  
LIFE 101  Life Sciences I – Chemistry  3  0  0  3  5  –  
MATH 103  Calculus I – Differential  3  2  0  4  6  –  
PHYS 103  Physics I – Mechanics and Dynamics  3  2  0  4  6  –  
PHYS 103L  Physics I – Lab  0  2  0  1  1  –  
ENGR 105  Introduction to Engineering  (noncredit)  2  –  
TOTAL  18  30  
II. SEMESTER


UNI 112  Critical Reading and Writing in Turkish II  3  0  0  3  5  –  
UNI xxx  Core Course Elective II  3  0  0  3  5  –  
LIFE 102  Life Sciences II – Biology  3  0  0  3  5  –  
MATH 104  Calculus II – Integral  3  2  0  4  6  MATH 103  
PHYS 104  Physics II – Electromagnetics and Modern Physics  3  2  0  4  6  –  
PHYS 104L  Physics II Lab  0  2  0  1  1  –  
ENGR 100  Computer Skills  (noncredit)  2  
TOTAL  18  30  
UNI 100  Exploring Istanbul  3  0  0  3  5  – 
III. Dönem


UNI 123  Textual Analysis and Effective Communication  3  0  0  3  5  –  
ENGR 211  Introduction to Programming  2  2  0  3  5  ENGR 105,
ENGR 100 

MATH 205  Linear Algebra  3  0  0  3  5  MATH 103  
ENGR 251  Probability for Engineers  2  2  0  3  5  ENGR 105, MATH 104  
ENGR 244  Engineering Materials  3  0  0  3  5  PHYS 102  
xxx  General Elective I  3  0  0  3  5  –  
TOTAL  18  30  
IV. Dönem


UNI 124  Textual Analysis and Academic Writing  3  0  0  3  5  UNI 123  
ENGR 212  Programming Practice  2  2  0  3  5  ENGR 211  
ENGR 246  Manufacturing Processes  3  0  0  3  5  ENGR 244  
ENGR 252  Statistics for Engineers  2  2  0  3  5  ENGR 251  
UNI xxx  Core Course Elective III  3  0  0  3  5  –  
xxx  General Elective II  3  0  0  3  5  –  
TOTAL  18  30  
IE 200  Summer Practice (25 work days)  (noncredit)  5 
JUNIOR YEAR  
V. Dönem


IE 321  Deterministic Models in OR  2  2  0  3  5  MATH 205  
IE 324  Simulation  2  2  0  3  5  ENGR 251  
UNI 201  Formations of Modern Turkey I  3  0  0  3  5  –  
UNI xxx  Core Course Elective IV  3  0  0  3  5  –  
xxx  General Elective III  3  0  0  3  5  –  
xxx  General Elective IV  3  0  0  3  5  –  
TOTAL  18  30  
VI. Dönem


IE 316  Engineering Economics  2  2  0  3  5  ENGR 252  
IE 322  Stochastic Models in OR  2  2  0  3  5  IE 321  
IE 344  Design and Analysis of Manufacturing Systems  2  2  0  3  5  ENGR 252  
UNI 202  Formations of Modern Turkey II  3  0  0  3  5  –  
UNI xxx  Core Course Elective V  3  0  0  3  5  –  
xxx  College Elective IV  3  0  0  3  5  –  
TOTAL  18  30  
IE 300  Summer Practice (25 work days)  (noncredit)  5 
VII. Dönem


.  
ENGR 497  Global Design Project I  1  2  0  2  10  Senior Standing  
IE 451  Project Management  2  2  0  3  5  Senior Standing  
IE 446  Manufacturing Planning and Control  2  2  0  3  5  IE 344  
IE xxx  Departmental Elective I  3  0  0  3  5  –  
xxx  College Elective II  3  0  0  3  5  –  
TOTAL  14  30  
VIII. Dönem


ENGR 498  Global Design Project II  1  2  0  2  10  ENGR 497  
IE xxx  Departmental Elective II  3  0  0  3  5  Senior Standing  
IE xxx  Departmental Elective III  3  0  0  3  5  Senior Standing  
IE xxx  Departmental Elective IV  3  0  0  3  5  Senior Standing  
xxx  College Elective II  3  0  0  3  5  
TOTAL  14  30 
DEPARTMENTAL ELECTIVES


ENGR 314  Database Management  3  0  0  3  5  NONE  
IE 333  Quality Engineering and Reliability  3  0  0  3  5  NONE  
IE 452  Stochastic Processes and Queueing  3  0  0  3  5  NONE  
IE 426  Nonlinear Programming  3  0  0  3  5  NONE  
IE 434  Data Mining  3  0  0  3  5  NONE  
IE 445  Modern Manufacturing Technologies  3  0  0  3  5  NONE  
IE 448  Product Desing and Innovation  3  0  0  3  5  NONE  
ENGR 422  Numerical Analysis  3  0  0  3  5  NONE  
IE 463  Finance for Engineers  3  0  0  3  5  NONE  
IE 371  Ergonomics  3  0  0  3  5  NONE  
IE 427  Graph Theory  3  0  0  3  5  NONE  
IE 438  Design of Experiments  3  0  0  3  5  NONE  
IE 458  Scheduling and Sequencing  3  0  0  3  5  NONE  
IE 462  Supply Chain Management  3  0  0  3  5  NONE  
ENGR 461  Computer Aided Engineering  3  0  0  3  5  NONE  
IE 493  Seminars in Industrial Engineering  3  0  0  3  5  NONE  
IE 494  Special Topics in Industrial Engineering  3  0  0  3  5  NONE  
IE 435  Forecasting and Time Series  3  0  0  3  5  NONE  
IE 442  Advanced Materials Science for Engineers  3  0  0  3  5  NONE  
IE 450  Nanomanufacturing and Devices  3  0  0  3  5  NONE  
IE 465  Integrated Business Processes in ERP  3  0  0  3  5  NONE 
DEPARTMENTAL ELECTIVES FROM SCHOOL OF MANAGEMENT AND ADMINISTRATIVE SCIENCES


ECON 201  Macroeconomics  3  0  0  3  5  
ITM 304  Supply Chain Management  3  0  0  3  5  
ITM 422  Managerial Decision Making  3  0  0  3  5  
MGT 202  Organizational Behavior  3  0  0  3  5  
MGT 203  Financial Accounting  3  0  0  3  5  
MGT 204  Managerial Accounting  3  0  0  3  5  MGT 203  
MGT 302  Human Resource Management  3  0  0  3  5  
MGT 303  Financial Management  3  0  0  3  5  MGT 203  
MGT 305  Marketing Management  3  0  0  3  5  
MGT 308  Organization Theory  3  0  0  3  5  
MGT 309  Operations Management  3  0  0  3  5  
MGT 442  Cost Accounting  3  0  0  3  5  MGT 204 
Courses from the Industrial and Systems Engineering MS Program or other graduate programs may be taken as Departmental or College Elective with the consent of the academic advisor. (Considered as equivalent to 3 credits = 5 ECTS credits)
ISE coded graduate courses will be taken as departmental, ECE and BGM coded graduate courses will be taken as college electives.
THE POOL OF COURSES CURRICULUM


.  
UNI 117  Understanding Society and Culture  3  0  0  3  5  None  
UNI 221  World Civilizations and Global Encounters: Until 1300 CE  3  0  0  3  5  None  
UNI 102  Critical Thinking  3  0  0  3  5  None  
UNI 118  Understanding Politics and Economy  3  0  0  3  5  None  
UNI 222  World Civilizations and Global Encounters: Since 1300 CE  3  0  0  3  5  None  
UNI 205  Understanding Science and Environment  3  0  0  3  5  None 
Other UNI courses may be taken with the consent of the academic advisor and approval of the College Administrative Board.
NOTES:
T (Theorical) P (Practical) L (Laboratory) Cr (Credit) ECTS (European Credit Transfer System Credit)
For International Students, instead of UNI 111 and UNI 112, two of UNI 115, 116, 215, 216, 315, 316 courses will be given.
General Electives: All the Courses offered within the university excluding the courses offered by the college.
Departmental Electives: Courses offered by the department with its own code
College Electives: All the Courses offered within the college excluding the courses offered by the department
Total Credits Required for Graduation: 139
No. of Courses: 49
Average Credit Load Per Semester: 17
Total Credits of Electives: 48
Elective Ratio: 35%
4 Departmental Electives are taken from junior, senior or graduate level courses in IE
3 College Elective courses are taken from junior, senior or graduate level courses in CENS with the approval of the academic advisor.
4 General Elective courses are taken from any college or school with the academic advisor’s consent.
5 Core Course (Humanities) Electives must be taken from the Core Course Curriculum listed above.
College and General Elective courses may replace each other with the consent of the academic advisor.
This new curriculum will be implemented for the new freshman students who entered the College in the year 2014.
For the existing sophomore, junior and senior students;
Total credit required for graduation is 136.
ENGR 100 is not compulsory.
Endüstri Mühendisliği Çift Anadal ve Yandal Programları
Students from other engineering programs must take the courses in Group A for a Double Major in IE
(9 courses, 27 credits)
GROUP A  
IE 321 Deterministic Models in OR (3 cr.)  ENGR 246 Manufacturing Processes (3 cr.) 
IE 343 Production Planning and Control (3 cr.)  ENGR 252 Statistics for Engineers (3 cr.) 
IE 451 Project Management (3 cr.)  IE 322 Stochastic Models in OR (3 cr.) 
IE 4** or ISE 5** level elective (3 cr.)  IE 324 Simulation (3 cr.) 
IE 426 Decision Analysis (3 cr.) 
 If they have a graduation project approved by the IE Department, they may be exempted from IE497 and IE498.
• Courses other than those listed can be accepted with the approval of the advisor.
Students from the School of Business must take the courses in Groups A and B for a Double Major in IE
(All together, 16 courses, 53 credits)
GROUP B 
LIFE 101 Life Sciences I Chemistry 4 cr. 
LIFE 102 Life Sciences II Biology 4 cr. 
MATH 104 Calculus II – Integral 4 cr. 
PHYS 104 Physics II – Electromagnetics and Modern Phys. 4 cr. 
PHYS 104L Physics II Lab 1 cr. 
MATH 205 Linear Algebra and Differential Equations 3 cr. 
ENGR 212 Programming Practice 3 cr. 
ENGR 244 Engineering Materials 3 cr. 
 If they have a graduation project approved by the IE Department, they may be exempted from IE 497 and IE 498.
• Courses other than those listed can be accepted with the approval of the advisor.Any undergraduate student, if eligible, can get Minor in IE if s/he successfully completes the courses in Group C(All together, 6 courses, ≥ 18 credits)
GROUP C  
IE 321 Deterministic Models in OR (3 cr.)  IE 324 Simulation (3 cr.) 
ENGR 252 Statistics for Engineers (3 cr.) 
 Plus three (3) other courses from the list of IE 3xx, IE 4xx or ISE 5xx codes.
• If the student has taken any equivalent course in the major program, s/he must take a replacement course to ensure 6 courses are completed.
Endüstri Mühendisliği Programı Ders Içerikleri
CORE COURSES
Differential calculus including analytic geometry; functions, limits and continuity; derivatives, techniques and applications of differentiation; logarithmic and trigonometric functions.
Textbook: Thomas’ Calculus, Maurice D. Weir, Joel Hass, and Frank R. Giordano, Pearson.
MATH 104 Calculus II – Integral (3+2) 4 – ECTS = 6
Integral calculus including definite and indefinite integrals; techniques of integration; applications in mathematics and engineering; infinite series. (Prerequisite: MATH 201 or consent of instructor).
Textbook: Thomas’ Calculus, Maurice D. Weir, Joel Hass, and Frank R. Giordano, Pearson.
PHYS 103 Physics I – Mechanics and Dynamics (3+2) 4 – ECTS = 6
Introduction to classical mechanics for students in engineering and the physical sciences. Measurement, units, and foundations of physics; vectors; kinematics; circular motion; forces, mass, and Newton’s laws; center of mass; momentum; work and energy; conservation laws; collisions; rotational kinematics.
Textbook: Physics for Scientists and Engineers, Fishbane et. al., 2005. AddisonWesley.
PHYS 103L Physics I – Lab: Mechanics and Dynamics (0+2) 1 – ECTS = 1
Lab work on foundations of physics; vectors; kinematics; circular motion; forces, mass, and Newton’s laws; center of mass; momentum; work and energy; conservation laws; collisions; rotational kinematics.
PHYS 104 Physics II – Electromagnetics and Moderns Physics (3+2) 4 – ECTS = 6
Rotational dynamics and angular momentum; equilibrium and elasticity; periodic motion including LRC electrical circuits; gravitation; fluid mechanics; temperature; thermal expansion; heat and the first law of thermodynamics; heat conduction; kinetic theory of gases; entropy and the second law; heat engines. (Prerequisite: PHYS 203 or consent of instructor).
Textbook: Physics for Scientists and Engineers, Fishbane et. al., 2005. AddisonWesley.
Lab work on rotational dynamics and angular momentum; equilibrium and elasticity; periodic motion including LRC electrical circuits; gravitation; fluid mechanics; temperature; thermal expansion; heat and the first law of thermodynamics; heat conduction; kinetic theory of gases; entropy and the second law; heat engines. (Prerequisite: PHYS 203 or consent of instructor).
LIFE 101 Life Sciences I Biology (3+0) 3 – ECTS = 5
Fundamentals of living creatures, cell structures, bio system; its relation with human activities.
LIFE 102 Life Sciences II Chemistry (3+0) 3 – ECTS = 5
Basics of matters, elements and their compound under different circumstances. Its relation and mechanics in human body and surroundings
ENGR 106 Introduction to Engineering (Noncredit) – ECTS = 2
Introduction to the art and science of engineering through the basics of mechanical, electrical, industrial and computer systems. Topics covered include: definition and history of engineering; ethics and social responsibility; engineering design process; engineering solutions; estimations and approximations; dimensions; units and conversions; mathematics and computer solutions; life long learning; mechanics; energy and thermal sciences; electricity and electronics; materials; manufacturing; economics; statistics, and introduction to the various engineering disciplines and mechanical engineering subdisciplines.
MATH 205 Linear Algebra and Differential Equations (3+0) 3 – ECTS = 5
Linear algebra including systems of linear equations; matrices, inverses of matrices; determinants; vector spaces and subspaces, bases and dimension. First order differential equations, including direction fields, separation of variables, first order linear equations, growth and decay, nonlinear models.
(Prerequisite: MATH 201 or consent of instructor).
Textbook: Modern Engineering Mathematics, Glyn James, 2008, Prentice Hall.
ENGR 211 Introduction to Programming (2+2) 3 – ECTS = 5
Introduction to programming and the organization of computers. Basic programming concepts, algorithms, data and control structures, debugging, program design, documentation, structured and objectoriented programming.
ENGR 212 Programming Practice (2+2) 3 – ECTS = 5
Basic data manipulation, vectors and arrays, execution control, functions, strings, file input and output, 2D and 3D plotting, matrix operations, linear equations, numerical methods: interpolation, curve fitting, numerical integration, numerical differentiation.
ENGR 244 Engineering Materials (3+0) 3 – ECTS = 5
Introduces the student to the main families of materials and the principles behind their development, selection, and behavior. Discusses the generic structures and properties of metals, ceramics, polymers, composites, semiconductors relevant to industrial applications. The relationship of properties to structure and processing is emphasized in every case.
Textbook: Engineering Materials: Properties and Selection, Kenneth G. Budinski and Michael K. Budinski, 2010. Prentice Hall.
ENGR 246 Manufacturing Processes (3+0) 3 – ECTS = 5
Manufacturing properties of metals and alloys, nonmetallic materials; Fundamental manufacturing processes such as deformation, material removal joining particulate, ceramicbased, polymerbased, microelectronic; Economic aspects; Videos, demonstrations, and industrial site tours to illustrate modern industrial practice. Basic understanding of conversion of raw materials into components, design, analysis and selection of appropriate processes for given openended problems.
Textbook: Manufacturing Processes for Eng. Materials, S. Kalpakjian and S.R. Schmidt, Prentice Hall.
ENGR 251 Probability for Engineers (2+2) 3 – ECTS = 5
Collection, organization and presentation of data. Introduction to probability theory, counting theorems, conditional probability and independence. Random variables, expectation, discrete probability models, continuous probability models, normal and related distributions. Sampling distributions, central limit theorem. Point and interval estimation. (Prerequisite: MATH 201 or consent of instructor)
Textbook: Applied Statistics and Probability for Engineers 4E, Douglas C. Montgomery and George C. Runger, John Wiley High Education, 2006.
ENGR 252 Statistics for Engineers (2+2) 3 – ECTS = 5
Hypothesis testing, concepts and applications. Single and multi factor analysis of variance. Analysis of categorical data. Correlation and regression analysis. Nonlinear and multiple regression. Nonparametric statistics. (Prerequisite: IE 232 or consent of instructor).
Textbook: Applied Statistics and Probability for Engineers 4E, Douglas C. Montgomery and George C. Runger, John Wiley High Education, 2006.
IE 200 SUMMER PRACTICE (NonCredit) – ECTS = 5
Students are required to spend minimum of 5 weeks (25 work days) in industry/business and obtain practical experience on departments, topics and practices related to Industrial Engineering. At the end of the summer practice, students will write a technical report and submit it to the department.
IE 300 SUMMER PRACTICE (NonCredit) – ECTS = 5
Students are required to spend minimum of 5 weeks (25 work days) in industry/business and obtain practical experience on departments, topics and practices related to Industrial Engineering. At the end of the summer practice, students will write a technical report and submit it to the department.
IE 314 Database Management Systems (2+2) 3 – ECTS = 5
The relational model; storing data: Disks, files, file organizations, indexes; conceptual design and the ER model; schema refinement and normal forms; physical database design and tuning; SQL: The Query Language; data warehousing, OLAP, data mining; networked databases.
Textbook: Database Management Systems by Raghu Ramakrishnan and Johannes Gehrke, 2002.
IE 321 Deterministic Models in Operation Research (2+2) 3 – ECTS = 6
Analysis and mathematical modeling of decisionmaking problems in a deterministic environment. Linear, integer, nonlinear, and dynamic programming; network models. (Prerequisite: MATH 206 or consent of instructor).
Textbook: Operations Research – Applications and Algorithms, Wayne L. Winston, Duxbury.
IE 322 Stochastic Models in Operation Research (2+2) 3 – ECTS = 6
Analysis and mathematical modeling of decisionmaking problems in an uncertain (stochastic) environment. Discretetime Markov chains, Poisson processes, continuoustime Markov chains, and renewal theory. Applications to queuing systems, inventory, and reliability. (Prerequisite: IE 321 or consent of instructor)
Textbook: Operations Research – Applications and Algorithms, Wayne L. Winston, Duxbury.
IE 324 Simulation (2+2) 3 – ECTS = 5
Development of a simulation language such as GPSS/H or SIMAN for modeling production, inventory, finance, transportation, public and health systems. Statistical analysis of simulation input/output data, design of simulation experiments, other elements of simulation analysis and generation of random numbers. (Prerequisite: IE 351 or consent of instructor).
Textbook: Introduction to Simulation and Risk Analysis, James R. Evans, David L. Olson, and James R. Evans, 2001, Pearson.
IE 343 Production Planning and Control (2+2) 3 – ECTS = 5
Production management, forecasting methods, descriptive and explanatory models, classification of production systems, facility layout and location, single and multifacility location problems, time and motion study, work sampling methods, work design, capacity planning, maintenance function.
Textbook: Production Planning and Control: The Management of Operations, Taylor and Francis, Prentice Hall.
IE 426 Decision Analysis (2+2) 3 – ECTS = 5
Decision making in case of uncertainty, incomplete information, multiple objectives, and subjective judgment and preferences. The course offers a set of tools to help structure decision problems and generate creative alternatives, quantify uncertainty, quantify subjective judgment, and, combine all this in an optimal choice model. The course objective is to teach basic concepts and skills necessary to deal with such efforts. (Prerequisite: Senior standing and consent of instructor).
Textbook: Making Hard Decisions, Robert T. Clemen, Terence Reilly, Duxburry.
IE 451 Project Management (2+2) 3 – ECTS = 5
Projects are all the work that’s done one time, and ongoing operations represent the work we do over and over. These two types of work require different management approaches and techniques. This course introduces project management issues and techniques, which the students are required to apply to realworld projects. Project selecting, structuring, scheduling, budgeting, resource management, and project control are the main topics. (Prerequisite: Senior standing).
Textbook : Project Management: A Systems Approach to Planning, Scheduling, and Controlling by Harold Kerzner, 2009.
ENGR 497 Global Design Project I (1+2) 2 – ECTS = 10
Investigation and report on a special (reallife) project under the guidance of the project supervisor. It requires analyzing a well defined engineering problem (of practical nature) and designing a new / improved system to solve it. Students are expected to apply a synthesis of knowledge and skills acquired in different courses. The course involves lectures, team presentations, industry / business visits, report writing. (Prerequisite: Senior standing).
Recommended Textbook: System Analysis, Design, and Development: Concepts, Principles, and Practices (Wiley Series in Systems Engineering and Management) by Charles S. Wasson, 2005.
ELECTIVE COURSES(3 ŞEHİR credits – 5 ECTS credits each)IE 425 Scheduling and Sequencing
This course covers deterministic scheduling and sequencing problems such as single machine scheduling, parallel machine scheduling, flow shop scheduling, and job shop scheduling. An introduction to neighborhood search techniques, such as genetic algorithms, tabu search, simulated annealing, and ant systems, are also covered. (Prerequisite: Senior standing).
Textbook: Principles of Sequencing and Scheduling by Kenneth R. Baker and Dan Trietsch, 2009.
IE 434 Quality Engineering
Total Quality Management; history, concepts, principles, tools and models. Principles of quality control systems, process control and capability concepts, control charts, acceptance sampling plans, cost of quality, modern concepts in quality control and management. (Prerequisite: Consent of instructor).
Textbook: Modern Methods For Quality Control and Improvement by Harrison M. Wadsworth, Kenneth S. Stephens, and A. Blanton Godfrey, 2001.
ENGR 461 Computer Aided Engineering (CAE)
Introduction to engineering graphics, computeraided engineering (CAE) and computeraided design (CAD), and freehand sketching. Develop CAD proficiency using advanced 3D software. Graphical presentation of design: solid modeling, views, sections, dimensioning, and tolerancing.
IE 463 Finance For Engineers
Quantitative methods: Time value of money, the investment setting, stock market analysis. Macroeconomic and microeconomic analysis, global economic analysis. Financial statement analysis: Basic concepts, financial ratios and earnings per share, assets, liabilities. Corporate Finance: corporate investing and financing decisions. Asset valuation: Markets and instruments, equity investments. Debt investments: analysis and valuation. Derivative investments, alternative investments. Portfolio management: Capital market theory. (Prerequisite: Senior standing).
Textbook: Foundations of Finance: The Logic and Practice of Financial Management, Keown, Martin, Petty & Scott, 2008. Prentice Hall.
IE 471 Ergonomics
Relationship between man and work environment, human body and physiological functions, anatomy and anthropometry in equipment design, environmental factors. Measurement of human work capabilities in the industrial environment.
Textbook: Ergonomics: How to Design for Ease and Efficiency, K.H.E. Kroemer and H.B. Kroemer, 2001. Prentice Hall.
IE 493 Seminars in Industrial Engineering
Investigating and modeling a special topic from an industrial engineer’s point of view. Students are required to prepare a paper, study in detail and present it before the selected members of the department. (Prerequisite: Senior Standing).
IE 494 Special Topics in Industrial Engineering
Selected topics of current interest in Industrial Engineering. (Prerequisite: Senior Standing).The following graduate courses in the Industrial and Systems (ISE) Graduate Program may be taken as Departmental Elective with the consent of the academic advisor.
(3 ŞEHİR credits each, equivalent to 5 ECTS credits)
ISE 521 Introduction to Operation Research and Industrial Engineering Topics
The term ‘operations research (OR)’ means “scientific approach to decision making”. In OR, the objective is to optimally design and operate a system, usually under conditions that require allocation of limited resources, and usually under lack of complete information. This is a survey course in OR. Topics include linear programming, network analysis, probability theory, queueing theory, project management, dynamic programming, inventory theory, and nonlinear programming. The analysis of these models using Excel spreadsheets will be emphasized.
ISE 523 Linear Programming
This is a theoretical introductory course for first year graduate students. The primary objective is to provide the students with a deep understanding of the concepts that underlie all linear programming algorithms and also understand how and why some of the current algorithms solve linear programming models. Topics include: theory of linear programming; convexity; simplex and algorithmic aspects; duality and sensitivity; computational issues; decomposition and column generation; introduction to integer and nonlinear programming.
Textbook: Linear Programming and Network Flows. Bazaraa, Jarvis, Sherali. Wiley, 2009.
ISE 524 Computer Simulation Techniques
This course builds a holistic framework for analyzing complicated systems in modern manufacturing and service industries. Process view of organizations is reinforced in a consistent manner and the analysis and improvement of such systems are studied using computer simulations. Simulation Basics; Queueing Applications; Inventory Applications; Validation and Verification; Group Project.
Textbook: J. Banks, J. S. Carson B. L. Nelson, and D. M. Nicol. 2000. DiscreteEvent System Simulation.
ISE 525 Dynamic Programming
Introduction to theory and computational aspects of dynamic programming and its application to sequential decision problems. Knapsack problem, equipment replacement, travelling salesman problem. Stochastic dynamic programming.
Textbook: Dynamic Programming and Optimal Control, Dimitri P. Bertsekas, Athena Scientific.
ISE 526 Stochastic Processes
Probabilistic models that are widely used in engineering and management science. Markov Chains; Renewal Theory; Markov Decision Processes: Queueing Theory; Inventory Control. A course in the theory of probability is a prerequisite.
Textbook: Introduction to Probability Models, Sheldon Ross, John Wiley.
ISE 531 Probability and Statistics for Engineers
General probability and statistical concepts and techniques useful for engineers and researchers in engineering. Topics include : Combinatorial probability, independence, conditional probability, random variables, discrete and continuous probability models, expectation and moments, central limit theorem, estimation, confidence intervals, hypothesis testing, tests of means and variances, goodnessoffit, regression, analysis of variance, and introduction to experimental design.
Textbook: Jay DeVore, Probability and Statistics for Engineering and the Sciences, Duxbury.
ISE 532 Reliability Engineering
The reliability concept and the methods to measure the reliability of the complex engineering systems. Optimization theory and statistical analysis will be used to evaluate and optimize the system reliability. Reliability and hazard functions, system reliability evaluation, system reliability optimization, time and failure dependent reliability.
Prerequisites: Probability and Operation Research.
Textbook: Reliability Engineering: Theory and Practice, Alessandro Birolini, Springer.
ISE 533 Econometrics and Forecasting
Simple and multiple regression models; relaxing the assumptions of the classical model: multicollinearity, heteroscedasticity, autocorrelation, model specification. Topics in econometrics: regression on dummy variables, the LPM, logit and probit models, autoregressive and distributed lag models; simultaneousequation models.
Textbook: Business Forecasting, Hanke & Wichern, 2009. Prentice Hall.
ISE 534 Data Mining
Definitions, introduction, examples, and the process data preparation and reduction, brief review of regression, decision trees, neural networks, knearest neighbor, cluster analysis, association rule mining, Principal components, pruning, boosting, bagging, crossvalidation, bootstrapping.
Textbook: Introduction to Data Mining: Tan, Steinbach, and Kumar; Addison Wesley, 2006.
ISE 535 Quality Management
Audit objectives and responsibilities, selection of lead auditor, evaluation of auditor candidates, audit team, managing an audit program. Initiating, preparing and executing an audit, audit documents, audit completion, corrective action followup. (Prerequisite: Senior standing and consent of instructor).
Textbook: Introduction to Quality Management: Assurance and Control, Hutchins, 1991. Prentice Hall.
ISE 537 Applied Data Analysis
Basic concepts and techniques in applied data analysis including regression modeling, analysis of variance, and experimental design. Multiple regression, logistic regression, analysis of variance, and experimental designs (oneway, randomized block designs, multiway factorials, incomplete blocks, and repeated measures). Statistical methods and models that are widely used across many disciplines.
Textbook: Applied Linear Statistical Models, Kutner, Nachtshem, Neter, Li, McGraw Hill/Irwin.
ISE 538 Design of Experiments
Principles of experimental design: randomization, blocking, transformations, fixed and random effects. Single factor experiments, Latin squares, factorial experiments, analysis of covariance, response surface design.
Textbook: Design and Analysis of Experiments, Douglas Montgomery, 2008. Wiley.
ISE 541 Lean Manufacturing and Operations
Overview of lean principles; Lean philosophy, history and basic methods; Lean system design: current state, optimal state and pull design; Pull system mechanics: Kanban, containerization, tools to determine and control inventory; Factory layout for lean manufacturing: basic models and options; Lean system design: analysis of throughput, cycle time, bottlenecks, material flow; Impact of supply chain; Integration of sixsigma into lean; (Prerequisite: Senior standing).
Textbook: Design and Analysis of Lean Production Systems, R G Askin, J B Goldberg, Wiley India Pvt. Ltd.
ISE 542 Advanced Materials Science for Engineers
Principles of structure and processing on advanced materials for functional use. Methods of treatment and processing for structural improvement. Materials under stress and strain, defect mechanisms and flow. Electrical, optical and magnetic properties of materials with comprehensive coverage of electronic properties in metals, semiconductors, and insulators at a fundamental level. Mechanical and electrical test and analytical methods. Fundamental solidstate properties and new technologies that lead to nanomaterials, thin film technologies and cuttingedge products.
Textbook: Materials Science and Engineering : Introduction, by William Callister, ISBN: 9780471736967, Publisher: John Wiley & Sons
ISE 543 Microfabrication
This graduate and senior undergraduate course presents a broad overview of micronanofabrication technologies and the science of miniaturization to engineering and science students. This science comprises an understanding of the intended application, knowledge of the different manufacturing options, familiarity with all material choices, and an understanding of scaling laws. Different options to make very small machines (micro and nano size) are reviewed and materials choices are discussed..
Textbook: “Fundamentals of Microfabrication, The Science of Miniaturization” Second Edition by Marc Madou, CRC Press 2002.
ISE 544 Design for Manufacturability
Interactive relations between material, design, manufacturing, and service for a product will be discussed using case studies. Design for manufacturability and sustainability will be exercised on openended industrial problems. Impact of design on manufacturing, part and service cost; Impact of design on manufacturability, assembly, waste; energy utilization; case studies.
Textbook: Selected readings and presentations.
ISE 545 Modern Manufacturing Technologies
In this course, several modern manufacturing processes and system types will be discussed with real examples and cases from industry. Developments in traditional manufacturing process technologies; nontraditional manufacturing processes; manufacturing system types and emerging paradigms; selection of manufacturing processes and systems for selected products.
Textbook: Fundamentals of Modern Manufacturing: Materials, Processes, and Systems, Mikell Groover, John Wiley and Sons.
ISE 546 Manufacturing Systems
Modern manufacturing systems; Manufacturing system types and classification; Major differences and interactions between different manufacturing systems; Manufacturing system design, analysis and simulation (Prerequisite: Consent of instructor).
Textbook: Analysis and modeling of manufacturing systems, S. B. Gershwin, Yves Dallery, Chrissoleon T. Papadopoulos, Kluwer Academic Publishers.
ISE 547 Nanomanufacturing and devices
This graduate and senior undergraduate course gives an overview of the main directions in nanotechnology/nanoscience, presents existing applications, and makes a critical presentation of some of the future visions in nanotechnology. Students will be provided with a survey of key concepts and state of the art research in the areas of nanotubes, nanowires, nanoparticle applications, nanoelectronics, photonics, nanobiotechnology, scanning probe microscopy, and surface science
Textbook: Innovation Management and New Product Development, Trott, 2008. Prentice Hall.
ISE 548 Product Design and Innovation
New product development requires teams of technical and nontechnical people to work across disciplines. This course covers a wide range of topics concerning customer driven product innovation, new product development processes, tools, techniques, and organizational skills.
Textbook: Innovation Management and New Product Development, Trott, 2008. Prentice Hall.
ISE 549 Solar Energy
The class outlines the relevance of photovoltaics today and in the future. Then follows an introduction to the physical background of solar cells and the most important materials and technologies, with emphasis on future developments and prospects. Semiconductors and physics of solar cells; Silicon solar cell materials and technology; Thinfilm silicon and future concepts and other new solar materials; Solar cells, solar modules and PV systems and manufacturing; Efficiency and performance of PV systems; Competing forms of renewable energy.
Textbook: A collection of book chapters and articles from various resources. Photovoltaic Energy Generation, Goetzberger and Hoffmann, Springer 2010, ISBN10: 3642062601. Solar Electric Power Generation – Photovoltaic Energy Systems: Stefan Krauter, Springer 2010.
ISE 551 Advanced Topics in Project Management
Developing basic PM skills; Initiating a project; Planning and acquiring resources; Assessing risk; Developing the project plan; Budgeting; Execution and controlling outcome; Assemble team; Problem resolution; Monitor project processes; Closeout the project.
Textbook: A collection of book chapters and articles from various resources: Kim Heldman, PMP, Project ManagementJump Start. Wiley, 2005. Rory Burke, Project Management Techniques. Burke Publishing, 2007. Robert Heller, Managing Teams, DK Publishing Inc., 1998.
ISE 552 Logistics and Supply Chain Management
Demand Forecasting; Logistics Network Design; Contracting in Supply Chains; Bullwhip Effect, Information Sharing, VendorManaged Inventory; Supply Chain Design – Efficient vs. Responsive Supply Chains; Sourcing: Procurement Auctions, Forward Buying; Quality and Supply Risks; Pricing: Dynamic Pricing, Revenue Management. A background in Production Operations Management is needed.
Textbook: Designing and Managing the Supply Chain: Concepts, Strategies, and Cases. David SimchiLevi, Philip Kaminsky.
ISE 553 Engineering Management
The course will address the organizational behavior and challenges for engineers, especially dynamics of globally distributed work teams. It will focus on developing practical new approaches to typical managerial problems faced in all sizes of corporate local or global companies. There will be emphasis on converting problematic situations into opportunities for improvement. Understand role and function of management in an organization; Alternative strategies to generic problems; Leadership and enhancing creativity; Successful work teams and communication skills; Conflict resolution; Time and stress management.
Textbook: A collection of book chapters and articles from various resources.
ISE 554 Technology and R&D Management
Historical Development. Functions of Technology Management: Planning and Forecasting, Decision Making, Human Aspects of Organizing, Leading Technical People, Controlling. Managing Technology: Managing Research and Development, Managing Engineering Design, Planning Production Activity, Managing Production Operations, Engineers in Marketing and Service Activities. Managing Projects: Project Planning and Acquisition, Project Organization, Leadership, and Control. Engineering Ethics. Globalization and Challenges for the Future.
Textbook: Managing Engineering and Technology, Lucy C. Morse, Dan L. Babcock, Prentice Hall, 2010.
ISE 556 Strategic Management
Strategic Management Approaches, The Tree of Business, Corporate Vision. Three Hierarchical Levels of Strategy, Strategy Pyramid. Strategic Programming Model for Stable Environment. Environmental Analysis, Competitive Analysis, Strategy Formulation, SWOT Analysis. Strategy Implementation, Strategic Leadership, Performance Management: Balanced Scorecard.
Textbook: Concepts in Strategic Management & Business Policy, Wheelen & Hunger, 2010. Prentice Hall.
ISE 561 Engineering Economy and Decision Analysis
Economic parameters play a significant role in decision making. This course introduces key economic, financial and accounting concepts for the engineering student and builds a framework for managerial decision making. Time Value of Money; Cash Flow Analysis; Risk Analysis, Decision Trees and Real Options; Cost Accounting Basics; Managerial Accounting.
Textbook: Engineering Economic Analysis, Donald Newnan, Ted Eschenbach, and Jerome Lavelle.
ISE 571 Facility Layout Planning
Design of production, distribution and inventory systems. Process design, materials handling, work area design, storage and warehousing, service area planning. Machine scheduling; number, size and location of facilities in a system; capacity planning; design of delivery routes.
Textbook: Facilities Planning and Design, GarciaDiaz & Smith, 2008. Prentice Hall.
ISE 572 Game Theory
Decision making under uncertainty; Simultaneous move games; Stackelberg leadership model; Double Marginalization in Supply Chains and Supply Chain Coordination; Bargaining Models: Theory and Practice; Cooperative Game Theory; PrincipleAgent Model; Mechanism Design; Optimal Auction Design.
Textbook: An Introduction to Game Theory, Martin J. Osborne. Oxford University Press, 2003.
Game Theory with Economic Applications, Bierman & Fernandez. Prentice Hall, 1998.
Endüstri Mühendisliği Staj Esasları
Staj programı, öğrencinin eğitim süreci boyunca edindiği teorik bilgilerin iş dünyasında uygulamaya dönüştürülebilmesini amaçlar. Bağlı bulundukları mühendislik bölümüne göre öğrenciler, dersler vasıtasıyla edindikleri kuramsal bilgilerinin gerçekliğini, güncelliğini ve uygulanabilirliğini sanayi, dijital dünya vb. birçok alanda uygulayabilme imkanı elde eder.
İstanbul Şehir Üniversitesi Endüstri Mühendisliği öğrencileri, dördüncü yarıyıl ve altıncı yarıyıl sonlarında her biri 25 iş günü (5 hafta) sürecek şekilde gerçek bir kuruluşta staj yapmak zorundadırlar. Staj yapılacak kuruluşun, öğrencinin kariyerinde uzmanlaşmayı düşündüğü alan ile (üretim, yöneylem, bilgi işlem, hizmet sektörü vb.) uyumlu olması, mezuniyet sonrası için büyük bir avantaj oluşturacaktır.
Öğrencilerimizin staj için mühendislik öğretisine uygun işyerlerine erişmesinde Kariyer Merkezi ve danışman akademisyenleri yardımcı olabileceklerdir.
Staj kapsamında uyulması gereken tüm kurallar “Staj Yönergesi”nde ilan edilmiştir. Erişmek için tıklayınız.
Staja başlamadan önce “Öğrenci Staj Bilgi Formu” staj yapılacak kurumun onayından sonra MDBF sekreterliğine teslim edilmelidir. Erişmek için tıklayınız.
Staj bitiminde MDBF Sekreterliğine “Stajyer Değerlendirme Formu” teslim edilmelidir. Erişmek için tıklayınız.
Staj bitiminde MDBF Sekreterliğine “Staj Raporu Değerlendirme Formu” teslim edilmelidir. Erişmek için tıklayınız.