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Automation (0908561) Course Instructor Information: Dr. Osama Habahbeh, Office: MEX 3RD Floor, Phone Extension: 23031, Email: o.habahbeh@ju.edu.jo Pre and Co-requisites: Pre-requisite: Modern Control Systems (0908442) Course Objectives: To develop the knowledge and understanding of production and manufacturing concepts, types of automation, industrial control systems, Programmable Logic Controllers (PLC), Computer Numerical Control (CNC), and their applications. To develop skills of PLC and CNC programming. References: • Automation, Production Systems, and Computer Integrated Manufacturing, Mikell P. Groover, Prentice-Hall, Third Edition. Course Outcomes By the end of the course, students are expected to: • Understand the basic production concepts, and types of manufacturing. • Recognize automation types and strategies. • Understand Programmable Logic Controllers (PLC) characteristics and applications. • Understand the principles of Computer Numerical Control (CNC) • Employ PLC programming techniques in real-life applications • Employ CNC programming techniques in real-life applications Course Contents • Introduction to production concepts: production lines and assembly systems. • Manufacturing operations: types of manufacturing. • Introduction to automation: automation types and strategies. • Industrial control systems: continuous and discrete systems • Numerical control: computer numerical control (CNC) • Discrete control: programmable logic controllers (PLC) and personal computers (PC) Grading • Project, Home works, and Quizzes: 10% • Midterm Exam: 20% • Final Exam: 35% • Lab: 35%
Fifth year
  
Engineering Numerical Methods (943301) Course Instructor Information: Dr. Osama Habahbeh, Office: MEX 3RD Floor, Phone Extension: 23031, Email: o.habahbeh@ju.edu.jo Pre and Co-requisites: Pre-requisite: Engineering Math-I (0301202) Course Objectives: To develop the knowledge and understanding of numerical errors, Interpolation, approximation, curve fitting, Numerical differentiation and integration, To develop skills of using numerical techniques to solve systems of linear and non-linear algebraic equations, ordinary and partial differential equations, and Eigenvalue problems. References: • Applied Numerical Methods with MATLAB for Engineers and Scientists, Chapra S.C., McGraw Hill International Edition. Third Edition. Course Outcomes By the end of the course, students are expected to: • Understand the basic numerical concepts and terminology. • Realize the importance of round-off and truncation errors. • Determine error propagation. • Understand the concepts of "stability", "convergence", and “uniqueness”. • Find roots of nonlinear algebraic equations in single variable. • Find solution for systems of linear algebraic equations. • Find solution for systems of non-linear algebraic equations. • Employ numerical approximations and curve-fitting: interpolation and regression. • Perform numerical differentiation and integration. • Solve ordinary differential equations: initial and Boundary value problems. • Design algorithms for solving engineering problems. • Use computer languages to solve mathematical problems. Course Contents • Introduction to Numerical Methods: significance and applications. • Algorithm Design • Approximations and errors: Error propagation, condition, stability, convergence. • Solution of Non-linear Algebraic equations: single and multi variables, Bracketing methods, Open methods. • Solution of systems of linear algebraic equations: Direct methods, Iterative methods. • Numerical Approximations and Curve-fitting: Polynomial interpolations, Linear Regression. • Numerical differentiation: first and higher order derivatives in forward, backward, and central difference forms. • Numerical integration: Trapezoidal rule, Simpson's rules, Romberg Integration. • Solution of Ordinary differential equations: Initial and boundary Value Problems, high order ODEs, Finite-Difference method. • Solution of eigenvalue problems: polynomial method, Power method. Grading • Project, Home works, and Quizzes: 20% • Midterm Exam: 30% • Final Exam: 50%
third year
  
Robotic Systems (0908563) Course Instructor Information: Dr. Osama Habahbeh, Office: MEX 3RD Floor, Phone Extension: 23031, Email: o.habahbeh@ju.edu.jo Pre and Co-requisites: Pre-requisites: Mechanics of Machinery (0904331), Control Systems (0908441) Course Objectives: To develop the knowledge and understanding of Robot structures, workspace, transformations, Kinematics and dynamic analyses, Singularity issues, and Trajectory planning. To develop skills of robot design and programming. References: • Introduction to Robotics Mechanics and Control, By John J. Craig, Silma Inc., Addison Wesley Longman. Third Edition. Course Outcomes By the end of the course, students are expected to: • Recognize robot types and terminologies. • Understand the basics of Robot structures, workspace, and transformations. • Recognize singularity issues • Perform Kinematics and dynamic analyses • Employ Trajectory planning methods for path generation. • Understand robot design and programming. Course Contents • Introduction: Robot types and their applications • Robotic terminologies • Kinematic configuration: Forward and inverse kinematic analyses • Dynamic analysis: Lagrange formulation and Newton-Euler Method • Path planning: Trajectory planning methods. • Motion programming Grading • Project, Home works, and Quizzes: 20% • Midterm Exam: 30% • Final Exam: 50%
Fifth year
  
Simulation and Modeling (0908312) Course Instructor Information: Dr. Osama Habahbeh, Office: MEX 3RD Floor, Phone Extension: 23031, Email: o.habahbeh@ju.edu.jo Pre and Co-requisites: 0904314, 0908341, 0908575 Course Objectives: To develop the knowledge and understanding of modeling and simulation of physical systems, such as mechanical, thermal, fluidic, electrical, and electronic components. To develop skills of dynamic analysis which is the basis for control algorithms. To develop skills of system modeling and simulation using analytical and numerical methods. References: • Modeling and Analysis of Dynamic Systems, Close, Frederick, & Newell, 3rd Edition. • Theory of Vibration with Applications, William T. Thomas, 3rd Edition, Printic Hall, 1988. • Mechanical Vibrations, Singiresn S. Rao, 2nd Edition, Addison Wesley, 1990. • Dynamic Modeling and Control of Engineering Systems, J. Lowen Shearer, Bohdan T. Kulakowski, Macmillan Publishing, 1990. Course Outcomes By the end of the course, students are expected to: • Understand and model mechanical, electrical, electronic, fluidic, and thermal components. • Formulate mathematical equations to describe the behavior of physical systems. • Understand, analyze, and simulate various types of vibrations • Solve models using analytical and numerical approaches and interpret results • Employ computer software in system modeling and simulation. • Perform Laplace transform-based analysis of systems Course Contents • Introduction: Rigid-body kinematics, Mass moment of inertia. • Rigid-body dynamics: Newton laws, Energy methods, impulse and momentum methods • Gyroscopic motion • Modeling of Multiphysical systems: mechanical, electrical, fluid, and thermal components. • Block diagrams simulation: Simulink application • Modeling of real-world systems: Analytical and numerical solutions of differential equations. • Laplace analysis: 1sr order, 2nd order, Steady-State and transient systems, frequency response functions. • Vibrations: Harmonic, non-harmonic, linear vibrations. Free vibration, Forced vibration. Grading • Project, Home works, and Quizzes: 20% • Midterm Exam: 30% • Final Exam: 50%
third year
  
Systems Integration (0908571) Course Instructor Information: Dr. Osama Habahbeh, Office: MEX 3RD Floor, Phone Extension: 23031, Email: o.habahbeh@ju.edu.jo Pre and Co-requisites: Pre-requisites: Mechatronics System Design Course Objectives: To develop the knowledge and understanding of systems engineering principles, and how the various components of any system can be integrated. It covers all the stages of system’s life cycle from design to disposal. It focuses on the principles of Safety, Maintainability, and Reliability of engineering systems. To develop skills of evaluating the maintainability and Reliability of engineering systems. References: • “Reliability, Maintainability and Risk: Practical Methods for Engineers”, David J. Smith, Butterworth Heinemann/Elsevier, 7th Edition, 2005. Course Outcomes By the end of the course, students are expected to: • Recognize the basics of Systems Engineering. • Understand Product life cycle • Understand Engineering Design Methodology • Recognize the concepts of safety, failure, and risk • Employ reliability and maintainability methods for system evaluation • Understand Design Assurance, Review, and Testing • Recognize Project Management methods and Contracts Course Contents • Introduction: Systems Engineering. • Product life cycle: design to disposal • Engineering Design Methodology: Component Selection, Design Assurance, Review, and Test • Reliability: Prediction and Quantification. • Safety and Risk assessment methods: Systematic Failures, hazard • Maintainability: Prediction and Demonstration • Project Management: Contracts Grading • Project, Home works, and Quizzes: 20% • Midterm Exam: 30% • Final Exam: 50%
Fifth year
Attachment
  
Aeronautics development history and types of aircraft, including lighter-than-air vehicles. Concept and importance of Aeronautical Engineering. Aircraft parts and components and their functions. Aircraft systems (mechanical, electrical, electronic, pneumatic, and hydraulic). Principles of Aeronautical Engineering (aerodynamics, power plant, aircraft performance). Aircraft weight, balance, and control. Impact of airplane characteristics on operation. Flight phases from planning to implementation and review. Types and characteristics of airports and ground handling services. Aircraft maintenance, Communications systems in aviation. Software used in aeronautical engineering. Aviation safety. Quality programs related to aeronautical engineering. Aeronautical engineering on airline organization chart. Skills needed for aeronautical engineers. Trends and future expectations for the aviation industry.
Fifth year