​The Department of Industrial Engineering and Management offers an undergraduate degree program leading to a Bachelor of Science in Industrial Engineering and a graduate degree program leading the Master of Engineering Management degree.

Major: Industrial Engineering (IE)
The Industrial Engineering Program extends over  a  four-year  period and is offered exclusively on a daytime, on-campus basis. The program  is offered in nine terms whereby  eight  terms  are  12/13-week Fall/Spring terms given over four years, and one eight-week summer term taken during the third year of the program in which students are required to participate in a practical training program with a local, regional or international organization.

IE Program Educational Objectives
Graduates of the IE program will be able to:

• assume key roles in a range of industries that use industrial engineering, includingmanufacturing and service.
• effectively participate in, coordinate and manage diverse teams of engineers and analysts, especially in large-scale systems.
• pursue advanced degrees in industrial engineering and other related fields at reputable regional and international universities.
• appreciate the importance of professional ethics and  actively use their knowledgeand experience to the benefit of the community.
  
  

IE Program Learning Outcomes

Upon graduation, IE students will be able to demonstrate:

• an ability to apply knowledge of mathematics, science and engineering to model, optimize and evaluate integrated systems of people, technology and information.
  
• an ability to design and conduct experiments, as well as to analyze and interpret data.
• 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.
• an ability to function on multidisciplinary engineering teams.
• an ability to identify, formulate and solve engineering problems and to develop integrated solutions to large-scale, sociotechnical problems through quantitative models.
• an understanding of professional and ethical responsibility.
• an ability to communicate effectively in oral and written form.
• the broad education necessary to understand the impact of engineering solutions in a global, economic, environmental and societal context.
• recognition of the need for, and ability to engage in, lifelong learning.
• knowledge of contemporary issues.
• an ability to use the techniques, skills and modern engineering tools necessary forengineering practice.​
  
  

IE Program Requirements

The  BE curriculum in Industrial Engineering is a four-year  program (with  one summers) consisting of 244 ECTS of coursework, split into 190 ECTS compulsory courses and 54 ECTS electives.

The IE curriculum is supported by four pillars:

a) basic science courses, b) general education courses, c) basic business courses and d) general engineering fundamental courses.

The specific course requirements are as follows:

• Basic Science Courses: MATH 202, MATH 218/219, MATH 251, STAT 230, PHYS 210, CHEM 201/202
• General Education Requirements: 
• ​12 ECTS in English, ENGL 203 and ENGL 206;
• 6 credits in Arabic;
• 3 credits on quantitative reasoning, MATH 201;
• 12 ECTS in natural science including BIOL 210;
• 24 ECTS in the humanities including a course on Greek Studies;
• 12 ECTS in social sciences, ECON 211 and MNGT 215;
• ​6 credits on ethics and community engagement including INDE 410.

• Basic Business Courses: ACCT 210
• Engineering Fundamentals: CIVE 210, EECE 230, MECH 421
  
  

The IE courses are distributed in three core areas:

a) Operations Research, b) Engineering Management and c) Production Systems.

IE Plan of Study​

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IE Course Description

INDE 301 Engineering Economy
A course that covers principles, basic concepts  and  methodology  for  making rational decisions in the design and implementation of real engineering projects; time value of money, depreciation, comparing alternatives, effect of taxes, inflation, capital financing and allocation, and decision under uncertainty. Every term.

INDE 302 Operations Research I
A course on operation research modeling concepts with an emphasis on linear programming; topics include: linear programming, network programming and project management. Prerequisite: MATH 218 or  Math 219, or equivalent. Annually.​

INDE 303 Operations Research II
Another course on operation research modeling concepts with an emphasis on probability models and  stochastic  processes;  topics  include conditional probability, discrete- and continuous-time Markov chains and their application in modeling queues, inventories and production process behavior. Prerequisite: STAT 230 or equivalent. Annually.

INDE 320 Work Measurement and Methods Engineering
A course on system and work design concepts;  time  studies;  performance rating  and  allowances;  standard  and  pre-determined times;  work  methods  improvement;  design  of  manual  work, equipment, tools and work environments; line balancing; manpower determinations, job  analysis  and  incentives;  systems  analysis,  lean  and value analysis. Prerequisite: STAT 230 or equivalent. Annually.​

INDE 402 Facility Planning and Material Handling
Inter-relationships between facilities, process design, systematic layout procedures, computer aided layout, location analysis models, material handling analysis and concepts, warehousing storage and retrieval systems. Prerequisites: INDE 302 and INDE 303. Annually.

INDE 410 Engineering Ethics
A course on engineering ethics covering responsibility in engineering; framing the moral problem; organizing principles of ethical theories; computers, individual morality and social policy; honesty, integrity and reliability; safety, risk and liability in engineering; engineers  as  employees; engineers and the environment; international engineering professionalism; and future challenges. Every term.

 INDE 411 Introduction to Project Management
Introduction to project management for engineers. Conception, planning, scheduling, budgeting, leadership,  management,  tracking  and  completion of projects. Project management software is introduced and used. Prerequisites: INDE 302 and INDE 303. Annually.

 INDE 412 Engineering Entrepreneurship
This course provides students with the tools necessary to create and grow a successful, innovative technology enterprise.  Topics  include evaluating market opportunities, designing profitable business models, producing a solid business plan, raising capital, addressing legal considerations and developing a winning team. Prerequisite: INDE 301  or equivalent.​

INDE 421 Human Factors Engineering

INDE 430 Statistical Quality Control

INDE 431 Production Planning and Inventory Control​
Methods of production and inventory planning. Single-product replenishment systems. Inventory management for special classes of items and products. Multiple item and multiple location inventories. Production planning and scheduling: aggregate production planning, MRP, JIT, OPT and short-range production scheduling. Prerequisites: INDE 302 and 303. Annually.​

INDE 500 Approved Experience
Practical training program with a local, regional or international organization. Summer.

INDE 501 Final Year Project I

INDE 502 Final Year Project II
This is the second part of the IE capstone course. Prerequisite: INDE 501. Spring.​

INDE 504 Discrete Event Simulation​
System definition; model formulation, Monte-Carlo method; random number generation; discrete events; system entities and its attributes. Emphasis on analysis of systems and models of  real-life  problems.  Lab  experience  with a modern discrete-event simulation package (e.g., ARENA). Prerequisite: INDE 303. Annually.​

INDE 513 Information Sys​tem
This is a course that answers the questions: What is information? How can    it best be stored? What to call it? The course also covers  the  following topics: abstraction, interfaces, barriers, specification, documentation, relational calculus and architectural abstractions, data structures  for  fast  data storage and retrieval, encryption, putting things on the Web, data warehousing and data mining. Annually.​

INDE 535 Data Analytics for Operations Research and Financial Engineering
Students will learn to identify, evaluate and capture  analytic  opportunities that create value for an organization.  Basic  descriptive analytics methods  are reviewed utilizing specialized software (e.g. R) in analyzing large data sets. Predictive analytics techniques including clustering, classification and regression are covered in detail. Prescriptive analytics applications on utilization simulation and optimization over large data to improve business decisions are presented. Annually.

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