DESCRIPTION OF IE ELECTIVES (B.Sc.)
DESCRIPTION OF GRADUATE COURSES (M.Sc.)
Industrial Engineering Department undergraduate program curriculum has been rearranged and is enforced starting from 2007-2008 academic year. This page includes the description of the courses in the new curriculum. Description of the courses in the previous curriculum may be reached by this link.
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IE |
101 |
Industrial Engineering Orientation
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(2 0 2) |
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The aim of this course is to provide an understanding of the
industrial and systems engineering. |
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IE |
111 |
Computer Aided Engineering Drawing
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(2 2 3) |
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The course mainly consists two parts. While the first part provides
introduction and general information on AutoCAD, the second part is related
with the basics of engineering drawing. |
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IE |
114 |
Materials Science and General Chemistry
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(3 2 4) |
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The course is designed to cover the following subjects: classification of the materials, atomic structure,
periodic table, molecular structure, bonding in solid materials, structure of
crystalline solids, mechanical properties of the materials, phase diagrams,
thermal processing of metal alloys, properties and use of ceramics, glasses
and composites, material selection, and design. |
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IE |
200 |
Summer Training I |
(0 0 0) |
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A minimum of four weeks (20 working days) training in a manufacturing organization. A thorough observation of the manufacturing system and a discussion of the various aspects of the manufacturing process. |
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IE |
243 |
Manufacturing
Processes
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(2 2 3) |
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This course is designed to provide students with an introduction of a number
of manufacturing processes. It is an overview course discussing a wide
variety of manufacturing processes with less detail. Instead, the principles
behind the processes will be discussed. Special emphasis will be given to
some common methods in manufacturing industry including metal cutting,
numerical control, casting, forming and shaping
processes. |
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IE |
227 |
Introduction to Probability
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(3 2 4) |
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In this course, basic probability concepts and counting techniques are
introduced. Consequently, the concepts of the random variable and
distribution are given. The expectation, variance, correlation concepts are
introduced. Various types of probability distributions are introduced. Examples in the manufacturing, service
systems and decision making are given so that the concepts and their
applications are better appreciated. |
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IE |
211 |
Introduction to Engineering Thermodynamics
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(3 0 3) |
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This course is designed to provide students with an understanding of
thermodynamic principles; application of the first and second laws of thermodynamics;
understanding of the basic relations among physical properties of materials,
energy transfer by heat, work and mass, and entropy. Some fundamental and common applications in
real world, for instance, power cycles, reverse cycles, refrigeration cycles,
etc., are also included. |
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IE |
244 |
Computer Integrated Manufacturing Systems
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(2 2 3) |
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This course is designed to highlight the major automation-related subjects
within the scope of manufacturing system. Special emphasis will be given on
industrial robotics, robot programming and flexible manufacturing systems
(FMS). Laboratory exercises will deal with robotic programming and experiment
with FMS systems. The elements of a flexible manufacturing environment such
as CNC machines, robots, conveyors are modeled and operated via OpenCIM software package. |
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IE |
228 |
Engineering
Statistics
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(2 2 3) |
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Descriptive statistics, probability and random variables, point and
interval estimation, hypothesis testing, sample size determination, basic
experimental design and analysis of variance, simple linear regression. Use
of statistical software to analyze data. |
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IE |
232 |
Operations Research I – Modeling
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(3 2 4) |
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This course is redesigned to equip students with the ability of conceptualization
of real life systems in the form of mathematical models. Principles of model
building and basic optimization concepts and approaches for problem solving
are discussed in detail. The application of these principles and concepts are
illustrated using simplified but practical problems from diverse fields of
application in manufacturing/service/distribution systems. Scopes and
limitations of suggested formulations are presented and their applications in
real-life situations are focused with the help of mathematical programming
software. The emphasis is on the formation and interpretation of models
rather than solution procedures. |
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IE |
240 |
Cost Analysis in Engineering
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(2 2 3) |
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This course includes the material necessary to analyze cost behavior,
examine costing systems and their practices in different organizations with
different nature of production. The ways how these systems are used in
decision making at different levels, are illustrated by examples. The aim is
to teach the students basics of financial accounting; definition of costs,
cost absorption techniques with an emphasis on allocation of overhead,
budgeting, variance analysis, cost-volume-profit analysis; preparation of
balance sheet, income statement and flow of funds statement; inventory
valuation. |
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IE |
300 |
Summer Training II |
(0 0 0) |
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A minimum of four weeks (20 working days) training in a manufacturing or service organization. A thorough observation of the manufacturing system and a discussion of the various aspects of the manufacturing processes. Identifying, designing and formulating a solution methodology to an industrial engineering problem. |
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IE |
301 |
Work Study and Ergonomics
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(2 2 3) |
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This course is designed to teach the fundamentals of Work Study and
Ergonomics, which are both used in the examination of human and work in all
their contexts. The topics covered in the course are introduction, problem
solving tools (recording and analysis tools, activity charts, line
balancing), operation analysis, manual work design (principles of motion
economy, motion study), time study (performance rating and allowances),
standard data and formulas, work sampling, predetermined time systems, job
analysis, job evaluation and compensation, design (workplace, equipment, and
tool), work environment design, design of cognitive work. |
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IE |
361 |
Production
Planning I
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(2 2 3) |
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This is the first of two sequel courses, which are
designed to introduce the basics of production planning and control with the
need of modern manufacturing organizations in mind. The topics covered in the
first course are production and inventory management environments, long-range
planning, forecasting, aggregate planning, deterministic and independent
demand inventory management, stochastic and independent demand inventory
management, aggregate inventory management, distribution and inventory
control. |
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IE |
341 |
Engineering Economic Analysis
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(2 2 3) |
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This course highlights the importance of economic principles in engineering
applications, especially in project evaluation procedures. Basics of economic
evaluation of engineering decisions such as time value of money, inflation,
depreciation and income taxes and related techniques are given. |
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IE |
327 |
System Simulation
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(2 2 3) |
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This course highlights the importance of economic principles in
engineering applications, especially in project evaluation procedures. Basics
of economic evaluation of engineering decisions such as time value of money,
inflation, depreciation and income taxes and related techniques are given. |
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IE |
333 |
Operations Research II – Deterministic Problems
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(3 2 4) |
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This course is designed to introduce the fundamentals of Operations
Research applied to deterministic problems. The emphasis is on the solution
procedures and interpretation of the solutions. The topics covered are the basic
deterministic models used in decision making: linear programming, simplex
methods, duality, post optimality analysis, integer programming, network
models and nonlinear programming. |
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IE |
302 |
Facilities Design and Location
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(2 2 3) |
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In this course, an overview of all the functions that are involved in
successfully designing and operating a manufacturing facility. The topics
covered are choosing manufacturing processes, developing production systems
and associated plant layout, designing material-handling and storage systems,
selecting the essential labor resources, considering the cost factors that go
into the design and operation of a plant, basic location/allocation analysis,
which determines the most economic location for a plant or plants in a
country (or machines within a plant). |
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IE |
362 |
Production
Planning II
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(2 2 3) |
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This is the second of two sequel courses, which are designed to
introduce the basics of production planning and control with the need of
modern manufacturing organizations in mind. The topics covered in the first
course are master scheduling, push production control systems (MRP, lot
sizing, MRP II), pull production systems (just-in-time production, kanban), production activity control (scheduling in
different production environments, priority rules, input/output control),
supply chain management, project management (CPM, PERT, time costing methods,
resource constraints). |
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IE |
364 |
Production Information Systems
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(2 2 3) |
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Various aspects of information systems (IS) and information technologies
(IT) related to industrial engineering (IE) discipline with special emphasis
on production systems. IT infrastructure. Data resources management. IE
perspective on IS, understanding the business value of information, digital
firm, IS in enterprises, strategic importance of IS. Enhancing management
decision making, telecommunications and internet technologies. Database
structure and development, relational database structure, security and
control, ethical and social aspects. |
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IE |
334 |
Operations Research III – Stochastic Problems
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(3 2 4) |
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This course is designed to introduce uncertainty, risk and
probabilistic approaches in decision making problems. Basic mathematical
modeling tools used in stochastic processes, queuing theory, inventory
systems and decision analysis are introduced. Discrete and continuous time
Markov chains, birth and death processes, M/M/c queuing systems, stochastic
dynamic programming are analyzed and elementary solution techniques are
discussed. |
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IE |
427 |
Quality
Engineering
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(2 2 3) |
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Review of fundamental statistical concepts. Introduction to control
charts. Control charts for attributes. Control charts for variables. Special
control charts. Graphical methods for quality improvement. Process control
techniques. Specification limits. Process capability analysis. Tolerances and
related techniques. Acceptance sampling by attributes and by variables.
Application of design of experiments to quality control. Taguchi methods. |
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IE |
407 |
Systems’ Analysis
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(1 4 3) |
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This course is a project based synthesis of the techniques and
methodologies of Operations Research and Industrial Engineering covered in other
courses. This is not a course in the classical sense. The aim is to conduct a
program in which industry and academia, students and engineers/managers,
learning and implementing, course-work and real-life all come together and
meet with each other. More specifically, teams of students and professors
work on real-world projects sponsored by industry to develop implementable solutions. The projects are concerned with
the design of complex systems and may involve modeling and analysis of
manufacturing and service systems based on demand, resource, capacity,
location, computer integration, and information requirements. IE 407 is
devoted to the understanding and identification of the particular system involved, the issues, and statement of the problem. |
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IE |
499 |
Seminar in
IE Practice
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(0 2 1) |
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Throughout this course a series of seminars will be given by invited
speakers on issues of current interest to the practice of industrial engineering
to introduce IE students to the work atmosphere and opportunities available
in academia and various manufacturing and service systems. |
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IE |
408 |
Systems’ Design and Implementation
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(2 4 4) |
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This course is a project based synthesis of the techniques and
methodologies of Operations Research and Industrial Engineering covered in
other courses. This is not a course in the classical sense. The aim is to conduct
a program in which industry and academia, students and engineers/managers,
learning and implementing, course-work and real-life all come together and
meet with each other. More specifically, teams of teams of students and
professors work on real-world projects sponsored by industry to develop implementable solutions. The projects are concerned with
the design of complex systems and may involve modeling and analysis of
manufacturing and service systems based on demand, resource, capacity,
location, computer integration, and information requirements. IE 408 is
devoted to the formulation and development of the solution of the problem
stated in IE 407, and implementation of that solution in the corresponding
real life system. |
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IE |
402 |
Supply Chain Management
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(3 0 3) |
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This course gives and understanding of the basic concepts, techniques
and algorithms for planning and coordinating the supply chain systems. Moreover,
it serves an opportunity to practice the tools taught in operations research
and production planning courses. |
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IE |
406 |
Project Scheduling and Control
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(3 0 3) |
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In this course, the project planning and control
tools used in managing and delivering projects will be explained in depth.
Upon the conclusion of this course, students will have gained a practical
knowledge of:
- Project scheduling basics and models
- Resource constrained project scheduling :models
and solution algorithms
- Project monitoring and control tools
- Project risk analysis tools
- Project management software |
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IE |
412 |
Applied Time Series Analysis
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(3 0 3) |
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This course introduces Box-Jenkins methods for modeling time series data.
First the basic concepts are introduced and then the models for both
stationary and non-stationary processes are discussed briefly. The
estimation, model identification and forecasting are presented. Finally, the
concepts are extended to multivariate case. |
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IE |
422 |
Industrial Pollution Prevention
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(3 0 3) |
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The course has a core fundamental part, which covers basic concepts of
P2, relationship between industrial activity and environment, and
environmental regulations. In the second part of the course, the focus is on
the P2 tools and techniques, such as improved manufacturing operations (green
design or eco-design), life cycle assessment (LCA), ecoefficiency
and good housekeeping. The P2 planning and its economics are the other
related topics to be covered in the course.
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IE |
428 |
Quality Management Systems
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(3 0 3) |
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This course teaches how to apply the concepts and tools of total quality
to develop, implement, and maintain an effective quality assurance system in
a manufacturing or service organization. Emphasis will be on both
documentation and team-based strategies for continuous improvement, using the
ISO 9000:2000 Standard as a basis for quality system requirements. |
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IE |
429 |
Design of Experiments
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(3 0 3) |
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This course is redesigned to equip the students with the ability of
designing, performing and analyzing experiments. Principles of
experimentation, different design types are discussed briefly. Besides the
concept of robustness is introduced and designs of robust experiments are given.
Also finding out the optimum levels of the effective factors are of concern.
Thus, response surface methodology and designs are also introduced. |
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IE |
435 |
Decision Analysis
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(3 0 3) |
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Introduction, elements of decision problems, structuring decisions,
probability and decision, decision making
in a complex world, uncertainty and making choices, payoffs and losses, developing a decision
model, Non-probabilistic and probabilistic criteria for decision making under
uncertainty, utility and the assessment of utility functions, Decision tree analysis,
gaining insight through evaluation, the value of information, terminal and
posterior decisions, the value of perfect and sample information,
pre-posterior analysis, using simulation to solve decision problems, getting
agreement, implementing the decision analysis process. |
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IE |
452 |
Analysis of Investment Projects
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(3 0 3) |
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This course presents that how statistical tools are used in evaluation
and comparison of capital investment projects and financial investments.
Uncertain nature of future returns and costs of projects are analyzed and
decision making techniques are introduced. |
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IE |
454 |
An Introduction to Combinatorial Analysis
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(3 0 3) |
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The aim of this course is to develop better skills in understanding, formulating
and building combinatorial models. Real life cases are studied. Software
packages are used for solution and analysis of models |
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IE |
456 |
Mathematical Modeling and Application
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(3 0 3) |
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The aim of this course is to develop the skills in understanding,
formulating and building mathematical modeling. Deterministic models in the
areas of transportation, distribution, location, production and economic
planning are analyzed. Real life cases are studied. Software packages are
used for solution and analysis of models. |
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IE |
458 |
Mathematical Models in Defense Systems
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(3 0 3) |
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Review of Military Operations Research, mathematical models in Defense
Analysis; deterministic combat simulation (homogeneous, heterogeneous)
models; stochastic (Lanchester, discrete-time)
combat simulation (homogeneous, heterogeneous) models; weapon effectiveness
index/attrition models; weapon system and munition
planning models; hybrid land combat models; naval warfare simulation and
modeling; air defense models. |
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IE |
470 |
Reliability Engineering
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(3 0 3) |
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Introduction, basic ideas behind
product reliability and reasons for collecting reliability data,
Models, types of reliability data, probability plotting, reliability and hazard
functions, system reliability evaluation, model’s parameter estimation and
reliability testing, life testing and accelerated life testing models,
reliability improvement: warranty and preventive maintenance, case studies. |
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IE |
471 |
Inventory Planning and Control
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(3 0 3) |
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The aim of this course is to develop better skills in understanding,
formulating and building inventory planning and control models. Inventory
policies for known demand and time varying demand, for uncertain demand and for
special items are analyzed. Real life cases are studied. Software packages
are used for solving the models. |
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IE |
473 |
Material Handling Systems
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(3 0 3) |
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In this course, firstly manufacturing systems and importance of
material handling will be reviewed. Secondly, material handling systems will
be reviewed, including MHS design, ten principles of material handling and
unit load concept. Then features and typical applications of material
transport systems will be discussed. Mathematical analysis of vehicle based
system will be studied on the basis of rate of deliveries and required number
of vehicle. Applications of charting techniques in material handling and
conveyor analysis will be studied. The last section deals with storage
systems. |
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IE |
474 |
Scheduling and Sequencing
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(3 0 3) |
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This course gives an introduction to scheduling problems techniques,
principles, algorithms and computerized scheduling systems. |
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IE |
481 |
Optimization Techniques |
(3 0 3) |
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Special forms of simplex algorithm. Maxima, minima and saddle points. Lagrange multipliers and Kuhn-Tucker conditions. Univariate search methods. Gradient methods and constrained optimization techniques including penalty methods. |
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IE |
491 |
Industrial Waste Management
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(3 0 3) |
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The course is composed of two main parts. The first part is designed
to introduce the fundamentals of the subject, such as, definition of waste
management, mass balance techniques to carry out simple flow diagram
problems, pollution prevention, feasibility analysis, risk assessment, etc.
The second part focuses on the major pollutants originating from the
industries and their control using environmental technologies. |
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