Bachelor – Mechanical Engineering

ME 100Probability and Statistics in Engineering 1 ME 200Probability and Statistics in Engineering 2
ME 110Introduction to Engineering mechanicsME 210Manufacturing processes 1
ME 120Operations research - Optimization ME 215Integrated Production Systems 1
ME 150Operations research – Stochastic ModelsME 315Work analysis and Design 1
ME 115Engineering Economics ME 350Management in Engineering

  • ME 100: Probability and Statistics in Engineering 1 : An introduction to probability and statistics. Probability and probability distributions. Mathematical expectation. Functions of random variables. Estimation. Applications oriented to engineering problems
  • ME 110: Introduction to Engineering mechanics: This course is an introduction to learning and applying the principles required to solve engineering mechanics problems. Concepts will be applied in this course from previous courses you have taken in basic math and physics
  • ME 120: Operations research – Optimization: Introduction to deterministic optimization modeling and algorithms in operations research. Emphasis on formulation and solution of linear programs, networks flows, and integer programs. .
  • ME 150 : Operations research – Stochastic Models: Introduction to probabilistic models in operations research. Emphasis on Markov chains, Poisson processes, and their application to queuing systems.
  • ME 115: Engineering Economics : Cost measurement and control in engineering studies. Basic accounting concepts, income measurement, and valuation problems. Manufacturing cost control and standard cost systems. Capital investment, engineering alternatives, and equipment replacement studies..
  • ME 200: Probability and Statistics in Engineering 2: Introduction to statistical inference and experimental design. Correlation, regression, single and multi-factor ANOVA, non-parametric methods. Applications to statistical quality control.
  • ME 210: Manufacturing Processes 1 : Principal manufacturing processes; metal cutting, grinding and metal forming operations, machine tools, and tools and tooling. Nontraditional machining and welding. Introduction to computer-aided manufacturing and computer-aided graphics and design, N/C programming, robots, and flexible manufacturing systems.
  • ME 215: Integrated production systems 1 : Basic concepts in the design and operational control of integrated production systems. Includes topics on facility layout and material handling, material flow and information flow, resource and capacity planning, and shop floor control and scheduling
  • ME 315:Work Analysis and design 1 :  Fundamentals of work methods and measurement. Applications of engineering, psychological, and physiological principles to the analysis and design of human work systems..
  • ME 350:Management in Engineering : This course gives an overview of engineering management and covers topics such as financial principles , management of innovation , technology strategy ,and best management practices.



ME 400Manufacturing Processes 2 ME 451Introduction to Sustainable energy
ME 411Introduction to system simulationME 460Linear Programming
ME 415Integrated production systems 2ME 470Discrete optimization models and Algorithms
ME 420Work analysis and design 2ME 480Engineering Economic Analysis
ME 450Introduction to manufacturing systemsME 490Economic Decisions in Engineering

  • ME 400: Manufacturing processes 2 The interrelations of materials, processes, and design with various aspects of manufacturing
  • ME 411: Introduction to system simulation: he course presents a general introduction to simulation concept and methodology. It covers simulation modeling in specialized simulation environments. Practical application of simulation to diverse systems will be discussed. Proper design and analysis of the simulation experiment is emphasized.
  • ME 415 : Integrated production systems 2 : Extensions of topics on the design and operational control of integrated production systems. Includes production databases, facility layout, material handling, advanced control and scheduling, and physical distribution.
  • ME 420 : Work analysis and design 2 : Applications of engineering, computer sciences, information sciences, and psychological principles and methods to the analysis and design of human work systems.
  • ME 450: Introduction to manufacturing systems: This course provides ways to analyze manufacturing systems in terms of material flow and storage , information flow , capacities , and times and durations of events.
  • ME 451: Introduction to sustainable energy : This class assesses current and potential future energy systems, covering resources, extraction, conversion, and end-use technologies, with emphasis on meeting regional and global energy needs in the 21st century in a sustainable manner. Instructors and guest lecturers will examine various renewable and conventional energy production technologies, energy end-use practices and alternatives, and consumption practices in different countries.
  • ME 460: Linear Programming:  Optimization of linear objective functions subject to linear constraints. Development of theory and algorithmic strategies for solving linear programming problems.
  • IE 470: Discrete optimization models and Algorithms : An introduction to classic models and algorithms for discrete optimization. Basic theory and computational strategies for exact and heuristic solution of integer, combinational, and network problems in the context of classic models.
  • ME 480: Engineering Economic Analysis: Analysis of engineering costs and capital investments. Applications of classical optimization, mathematical programming, and the theory of production to the analysis of investment proposals. Evaluation and selection of individual projects and formulation of capital investment programs
  • ME 490: Economic Decisions in Engineering: Topics in decision making and rationality including decision analysis, decision making under uncertainty, and various descriptive and prescriptive models from operations research, economics, psychology, and business. Applications are drawn from engineering decision making, public policy, and personal decision making. Attention also is paid to designing aids to improve decision making.


ME 505Safety EngineeringME 530Design and Evaluation of material handling systems
ME 510Optical Engineering ME 541Advanced Facilities Design
ME 515Production management control ME 550Micro/Nano Engineering laboratory
ME 520Manufacturing process EngineeringME 556System simulation
ME 525Human Factors in Engineering ME 580Simulation design and analysis
  • ME 505: Safety Engineering : Application of human factors and engineering practice in accident prevention and the reduction of health hazards are presented. The objective of this course is to provide an understanding of the safety and health practices which fall within the responsibilities of the engineer in industry. Special attention is devoted to the detection and correction of hazards and to contemporary laws and enforcement on occupational safety and health.
  • ME 510: Optical Engineering : This course concerns the theory and practice of optical methods in engineering and system design, with an emphasis on diffraction, statistical optics, holography, and imaging. It provides the engineering methodology skills necessary to incorporate optical components in systems serving diverse areas such as precision engineering and metrology, bio-imaging, and computing (sensors, data storage, communication in multi-processor systems).
  • ME 515 :Production management control : Background and development of production management, plus current concepts and controls applicable to production management functions.
  • ME 520: Manufacturing process Engineering: Theories and applications of materials forming and removal processes in manufacturing, including product properties, process capabilities, processing equipment design, and economics. A systems approach to all aspects of manufacturing process engineering
  • ME 525: Human Factors in Engineering : Survey of human factors in engineering with particular reference to human functions in human-machine systems, and consideration of human abilities and limitations in relation to design of equipment and work environments.
  • ME 530: Design and Evaluation of material handling systems : Analysis for design and evaluation of material handling systems with emphasis on material flow control and storage. Analytic models and simulation used. Economic justification models for material handling systems.
  • ME 541 : Advanced Facilities design: Study of the theoretical and applied aspects of manufacturing systems layout. Emphasis on contemporary manufacturing, including the layout of cellular systems, automated material handling systems, and storage systems
  • ME 550 : Micro/Nano Engineering laboratory : This course encourages creative thinking through hands-on experience via building, observing and manipulating micro-and nano-scale structures. Students learn about underlying science and engineering principles and possible applications.
  • ME 556: System simulation: Philosophy and elements of digital simulation language. Practical application of simulation to diverse systems
  • ME 580 : Simulation design and Analysis :  An introduction to simulation of stochastic systems on digital computers. Emphasis is on the fundamentals of simulation as a statistical experiment. Topics include uniform random numbers, input modeling, random variate generation, output analysis, variance reduction, and optimization.