Course Descriptions IENG 6000   Research Methods
CREDIT HOURS: 0
The research methods course is designed for graduate students in the early stage of their master’s or doctoral research. It introduces the requirements for graduate studies, engineering science and the research process. To this effect, the course pays attention to library services and the literature search process, making a research plan, academic writing, publishing in peer-reviewed journals, aspects of student well-being, and successfully pursuing an academic career. This course is designed to offer graduate students a roadmap through graduate studies.
FORMAT: Lecture
LECTURE HOURS PER WEEK: 3

IENG 6900   Industrial Engineering Methodologies
CREDIT HOURS: 3
This course gives an overview of industrial engineering methodologies with particular reference to classical industrial engineering and ergonomics. The subject areas covered include: work methods and measurement, engineering economics, plant layout and material handling and industrial ergonomics. Due emphasis will be given to the application of the methodologies in an industrial environment.
PREREQUISITES: This course is not intended for graduates of an Industrial Engineering undergraduate programme.
RESTRICTIONS: Restricted to Industrial Engineering students. Students in other programs must contact the instructor for permission to register.

IENG 6906   Occupational Ergonomics
CREDIT HOURS: 3
Consideration is given to human's anatomical, physiological and psychological capabilities and limitations for systematic analysis, identification and evaluation of human-machine-environment systems to design consumer products, equipment, tools, and the workstation. Due emphasis will be given to the application of ergonomics principles and data at the human-machine interface in industrial and other occupational settings.

IENG 6908   Advanced Facilities Planning
CREDIT HOURS: 3
This class covers advanced topics in facilities planning and design. Models for the planning and design of production and distribution facilities will be presented in the following areas: plant and distribution centre location, layout, and material handling systems design.

IENG 6909   Supply Chain Management
CREDIT HOURS: 3
This class covers advanced topics in Logistics and Supply Chain Management. Models for designing, planning, and operating supply chain logistic networks will be presented. Topics covered include supply chain network design, planning and managing inventories, transportation planning, and the role of information technology.

IENG 6912   Introduction to Operations Research
CREDIT HOURS: 3
This course is a graduate level introduction to the fundamental ideas of operations research. The course focuses on mathematical modelling in deterministic and non-deterministic settings. The course covers topics in the theory and application of mathematical optimization, network analysis, decision theory, inventory theory, and stochastic processes including queuing processes. The course requires background in probability theory and linear algebra as well as some skill in computer programming.
PREREQUISITES: This course is not intended for graduates of an Industrial Engineering undergraduate programme.

IENG 6916   Stochastic Processes
CREDIT HOURS: 3
This course is an introduction to the fundamentals of stochastic processes at a graduate level. Emphasis is placed on the analysis of the probability structure of stochastic models. Topics discussed include renewal processes, counting processes, Markov chains, Markov decision processes, birth and death processes. Stationary processes and their spectral analysis may also be discussed. Applications of stochastic processes in operations research, quality and reliability engineering are presented.

IENG 6917   Simulation of Industrial Systems
CREDIT HOURS: 3
Computer simulation of industrial systems, the design of discrete simulation models, and the generation of random variables are all covered by this course. Also included is the design of simulation languages. Applications of simulation models in decision making situations arising in production, distribution and economic systems are studied.

IENG 6918   Decision Analysis
CREDIT HOURS: 3
We will study the foundations of decision and risk theory and construct a correct theory and practical methodology - Preference Function Modelling (PFM) - for decision making including group decision making.

IENG 6920   Advanced Topics in Linear and Integer Programming
CREDIT HOURS: 3
The course will explore advanced methods to deal with large-scale and/or uncertain linear and integer programming problems encountered in real-life applications. Large-scale optimization methods include: Dantzig-Wolfe decomposition, column generation, Lagrangian relaxation, cutting planes, branch-and-cut, branch-and-price and Benders’ decomposition. Methods for dealing with uncertainty include: stochastic programming, chance-constrained programming, sample-average approximation, robust optimization and distributionally-robust optimization. Through a project, students will get a chance to apply these methods on problems drawn from different applications such as logistics, energy and finance
FORMAT: Lecture
LECTURE HOURS PER WEEK: 3
PREREQUISITES: IENG 6912 or instructor permission.

IENG 6921   Nonlinear Optimization
CREDIT HOURS: 3
Key issues in engineering design are the optimization of the design parameters and optimization of overall system performance. The objective of this course is to expose the student to modern techniques in finite dimensional optimization. Topics in unconstrained optimization will include steepest descent, conjugate gradient and quasi-Newton methods. In the field of constrained optimization, topics will include Kuhn-Tucker theory and algorithmic methods such as reduced gradients, gradient projection, penalty and barrier methods. The use of constructive dual methods may also be included. Throughout the course, students will be encouraged to apply the theory to engineering decision problems.

IENG 6923   Distribution Management
CREDIT HOURS: 3
The course will explore the mathematical models in distribution management, and the relationship between theoretical advances and useful applications. The following topics will be covered: location problems, vehicle routing and scheduling with multiple constraints, dynamic routing & scheduling, implementation strategies. Students will be required to undertake a project in solving a distribution management problem.

IENG 6962   Advanced Topics in Maintenance Engineering and Management
CREDIT HOURS: 3
This class deals with graduate level topics in design, modelling and optimization of reliability and maintainability, and design of maintenance systems. Topics may include; general repair models with partial repari and imperfect maintenance, CBM methods, and the use of mathematical models int he development of a mintenance information system.
PREREQUISITES: ENGM 2032.03, ENGM 2022.03, and one of MECH 4900.03, IENG 4548.03, ECED 3600.032 or equivalent or instructor permission

IENG 6964   Optimization of Health Care Systems
CREDIT HOURS: 3
This course will focus on current research of healthcare systems. This course will illustrate how industrial engineering techniques can be applied to healthcare systems. Topics to be discussed include capacity planning, quality, decision analysis, scheduling, optimization models, and waiting line models.
FORMAT:
  • Lecture
  • Lab

LECTURE HOURS PER WEEK: 3
LAB HOURS PER WEEK: 2
PREREQUISITES: None

IENG 6967   Advanced Topics in Engineering Risk and Safety
CREDIT HOURS: 3
The course aims to provide advanced insights in the principles underlying safety and risk, from an engineering perspective, with primary attention to risk and safety in complex socio-technical systems. As a graduate course, the focus is on understanding, analysis, and critical evaluation of state-of-the-art concepts, theories, and methods in safety and risk research. After a broad common foundation is established for all course participants, the remainder of the course is implemented through a co-design approach. The common foundation focuses on i) basic concepts in the discipline (including safety-I vs safety-II, resilience, reliability, risk, etc.), ii) modern accident theories and analysis methods in complex socio-technical systems (including STAMP, FRAM, etc.), and iii) concepts and approaches for validation in different scientific disciplines relevant for engineering safety and risk research. The co-design approach has the objective to enable students to create specific learning objectives aligned with their research for their graduate thesis, in consultation with the course instructor, and maximally in collaboration with other students participating in the course.
FORMAT: Lecture
LECTURE HOURS PER WEEK: 3
PREREQUISITES: Prior knowledge of basic risk theories and analytical risk analysis methods, such as those covered in the course IENG4567.03 Engineering Risk Management, is recommended. Nevertheless, interested students are encouraged to seek instructor permission to participate in this course.

IENG 6990   Directed Studies in Industrial Engineering I
CREDIT HOURS: 3
This course is offered to students enrolled in a Masters program in Industrial Engineering who wish to gain knowledge in a specific area for which no appropriate graduate level courses are offered. Each student taking this course will be assigned a suitable course advisor. The student will be required to present the work of one term (not less than 90 hours in the form of directed research, and individual study) in an organized publication format and may, at the discretion of the advisor, be required to take a formal examination.

IENG 7000   Graduate Seminar I
CREDIT HOURS: 0
The course is designed for continuous participation by graduate students during their degree program. Students are required to present their work to peers in seminars and to attend other student’s research seminars.
FORMAT: Seminar
FORMAT COMMENTS: The course is designed for continuous participation by graduate students during their degree program. Students are required to present their work to peers in seminars and to attend other student’s research seminars.
LECTURE HOURS PER WEEK: 3

IENG 7990   Directed Studies in Industrial Engineering II
CREDIT HOURS: 3
This course is offered to students enrolled in a PhD program in Industrial Engineering who wish to gain knowledge in a specific area for which no appropriate graduate level courses are offered. Each student taking this course will be assigned a suitable course advisor. The student will be required to present the work of one term (not less than 90 hours in the form of directed research, and individual study) in an organized publication format and may, at the discretion of the advisor, be required to take a formal examination.

IENG 8000   Graduate Seminar II
CREDIT HOURS: 0
The course is designed for continuous participation by graduate students during their degree program. Students are required to present their work to peers in seminars and to attend other student’s research seminars.
FORMAT: Seminar
FORMAT COMMENTS: Seminars and class sessions
LECTURE HOURS PER WEEK: 3
PREREQUISITES: IENG 7000

IENG 8500   Meng Project
CREDIT HOURS: 0
A Master of Engineering candidate will be required to submit a project satisfactory to the Faculties of Graduate Studies and Engineering and to make a successful oral presentation of the work.