| Course Code |
Course Name |
Credit hours |
Description |
| A0871103 |
Principles of Renewable Energy |
3 |
Introduction to renewable Energy include Photovoltaic, Wind power, Micro hydropower, Biomass energy, Waste power, Solar thermal power, Geothermal power, Ocean energy (tidal, tide-flow and wave), Ocean energy (OTEC), , Comparison of characteristics and cost of renewables. How we can use the sun, wind, biomass, geothermal resources, and water to generate more sustainable energy. It explains the fundamentals of energy, including the transfer of energy, as well as the limitations of natural resources. Starting with solar power, the text illustrates how energy from the sun is transferred and stored; used for heating, cooling, and lighting; collected and concentrated; and converted into electricity |
| A0110168 |
Digital Literacy and Artificial Intelligence |
3 |
|
| A1321100 |
Sport and Health |
3 |
Defining health and fitness: physical education, health education; the cognitive, emotional, skill-oriented, and social goals of physical education; the history of physical education: ancient, medieval, and modern ages, the Olympics, Athletics in Jordan: nutrition and exercising; athletic injuries: bone, joint , muscle, skin injuries; special exercises for figure deformation; diseases related to lack of exercise: diabetes, obesity, being underweight, back pain, cancer; hooliganism: causes and recommended solutions for hooliganism. |
| A0110167 |
Critical Thinking Skills |
3 |
|
| A0110281 |
Society Health |
3 |
|
| Course Code |
Course Name |
Credit hours |
Description |
| A0852202 |
Communication Skills and Artificial Intelligence |
2 |
|
| A0833101 |
Numerical Analysis |
3 |
General numerical methods: equation solving via iteration, interpolation; numerical integration, and numerical differentiation; numerical methods in linear algebra, Gauss elimination, least squares method, numerical methods for differential equations. |
| A0110111 |
General Physics 1 |
3 |
|
| A0832101 |
Differential Equations |
3 |
Different methods of solving ordinary differential equations of first, second and higher-order DEs. Using Laplace transform and Power series method for solving Des. Modeling of some engineering, physical, and social problems will be given. |
| A0110201 |
Linear Algebra |
3 |
|
| A0851202 |
Engineering Workshop |
1 |
Workplace safety and use of tools; basic skills of measurements; basic skills of hand filing, welding, carpentry, sheet metal fabrication, and household electric circuits. |
| A0831201 |
Engineering Drawing |
2 |
Use of instruments; lettering; Drawing of basic views and projection method; orthographic; isometric drawing and sketching; sectional views; computer aided design applications using AutoCAD (2D & 3D) in all engineering aspects. |
| A0851201 |
Computer Skills (Engineering) |
3 |
The Basic Concepts of Programming using C++ language: C++ Programming; Controls Structures; Functions; Arrays; Pointers; An introduction to Classes and Objects. |
| A0110113 |
General Physics Lab. |
1 |
|
| A0110102 |
Mathematics (2) |
3 |
|
| A0832103 |
Engineering statistics and probability |
3 |
|
| A0110121 |
General Chemistry |
3 |
|
| A0110112 |
General Physics (2) |
3 |
|
| A0110101 |
Mathematics (1) |
3 |
|
| A0852203 |
Engineering Ethics |
1 |
|
| Course Code |
Course Name |
Credit hours |
Description |
| A0843502 |
Sensors and Actuators Lab. |
1 |
|
| A0845303 |
Graduation Project (2) |
2 |
At this stage students are expected to investigate possible solutions to a problem, and to present the results in writing, verbally and in action. For assessment, students submit regular reports of their progress, and give in-person presentations and demonstrations of their work. |
| A0845302 |
Graduation Project (1) |
1 |
Students will start their project by performing an extensive literature review about a particular problem in the field. Students are expected to follow a clear time frame and submit all required forms and documents towards the end of this stage. |
| A0842202 |
Mechanical Design and Modeling |
3 |
This course enables students to develop basic spatial skill by using a solid modelling system. Students develop skills in interpreting and visualising 3D objects in 2D format. They create and assemble solid model representation of machine components and create 2D engineering drawings from solid models. Students develop advanced technical sketching skills to aid communication in engineering design. |
| A0842204 |
Computer Aided Design Lab. |
1 |
Mechanical engineering drawing conventions and abbreviations, various systems of size description, including precision dimensioning, fastening elements, standard organization and preparation of engineering drawings, assembly and detailed drawings, design applications using AutoCAD and Solidworks softwares. |
| A0843501 |
Sensors and Actuators |
3 |
|
| A0842201 |
Statics and Strength of Materials |
3 |
Force vectors, force system and resultants, equilibrium, structural analysis, geometric properties and distributed Loadings, internal Loadings, stress and strain, mechanical properties of materials, axial load, torsion, bending, transverse shear, combined loadings, stress and strain transformations, design of beams, buckling of Columns. |
| A0844103 |
Deep Learning and Computer Vision |
3 |
This course introduces deep learning, a subfield of machine learning concerned with the creation and application of neural networks. Algorithms for extracting high-level data representations are provided. Image classification, time series prediction, text orientation, natural language translation, speech recognition, and deep reinforcement learning are among the topics addressed in the course. Students learn how to build a variety of deep neural networks using application software interfaces such as TensorFlow and Keras, including convolutional neural networks (CNN), recurrent neural networks (RNN), self-organizing maps (SOM), generating adversarial networks (GANs), and long memory range networks (LSTM). |
| A0844101 |
Machine Learning |
3 |
This an introductory course that gives and overview of many concepts, techniques, and algorithms in machine learning, beginning with topics such as classification and linear regression and ending up with more recent topics such as statistical pattern recognition, boosting, supervised and unsupervised learning, support vector machines, neural networks, hidden Markov models, and Bayesian networks. |
| A0843503 |
Robotics |
3 |
|
| A0845506 |
Robotics Lab. |
1 |
|
| A0844504 |
Smart Industrial Robotics |
3 |
|
| A0844203 |
Digital Control Lab |
1 |
Open-Loop and Closed-Loop of Analog and Digital Control Systems; Servomechanism Principles; Transient Response; Closed-Loop Position and Velocity Control Systems; The Effect of Gain, PI, PD, and PID Controls on System Performance; Control Systems for First and second order differential equations; Frequency Response Measurements; Analogue Computer Simulation of Control Systems; Implementation using microcontrollers. |
| A0845505 |
Mobile and Autonomous Robots |
3 |
|
| A0843106 |
Artificial Intelligence Lab. |
1 |
|
| A0844201 |
Hydraulic and Pneumatic Systems |
3 |
Fundamentals of fluid mechanics. Fluid kinematics. Bernoulli equation. Mass, energy, and momentum principles, The basic knowledge concerned with structure, modelling, and principles of the performance, function, and applications of all hydraulic and pneumatic components (valves; pumps; motors and cylinders). Design and control of hydraulic, electro-hydraulic, pneumatic, and electro- pneumatic circuits. Design of electro-hydraulic and electro- pneumatic systems, and application of digital logic and PLC to fluid power systems. |
| A0843102 |
Artificial Intelligence (AI ) |
3 |
|
| A0843101 |
Data Structures and Algorithms |
3 |
Concepts, representations and use of elementary data structures: pointers, arrays, linked lists, stacks, queues, graphs, trees, heaps and hash tables. Asymptotic complexity analysis. Divide and Conquer design and analysis. Binary Search. Recurrences Methods. Sort algorithms: selection sort, merge sort, quick sort, radix sort. Greedy Algorithms. Shortest Path algorithms. Breadth and Depth First Search. P and NP problems. |
| A0844401 |
Robot Communication Systems |
3 |
|
| A0842203 |
Dynamics and Mechanics of Machines |
3 |
Kinematics of particles; Rectilinear and curvilinear motion in various coordinate systems. Kinetics of particles; Newton?s second law, Central force motion, Work-energy equation, Principle of impulse and momentum, Impact, Conservation of energy. Kinematics and kinetics of rigid bodies; Relative velocity and acceleration. Kinematics of mechanisms, vector method of analysis of plane mechanisms. Static and dynamic analysis of machines, inertia forces, Static and dynamic balancing, balancing machines. Dynamics and balancing of reciprocating engines. Flywheels. Kinematics and dynamics of cams and gears mechanisms. Elements of mechanical vibrations. |
| A0844301 |
Field Training |
3 |
|
| A0844202 |
Digital Control |
3 |
Sampling and signal reconstruction; signal analysis and data filtering; z-transform; practical aspects of system identification and digital control; discretization of systems; response and stability analysis of discrete systems; State space representation of discrete systems; controller design methods (digital pole placement, digital PID, etc.); Realization of digital controllers; Applications to real life control systems. |
| Course Code |
Course Name |
Credit hours |
Description |
| A0852304 |
Electronics Lab |
1 |
Diode characteristics: clipping and clamping circuits, half-wave and full-wave rectification,Zener diode, and voltage regulation; BJT characteristics and biasing circuits; FET characteristics and biasing circuits; transistor amplifiers;frequency response of single-stage and multi-stage transistor amplifiers,transfer characteristics of cascade amplifier;differential amplifier;operational amplifiers and applications; oscillators; passive and active filters. |
| A0872304 |
Electric Circuits Lab. |
1 |
DC Circuits: Kirchoff?s Voltage and Current Laws, Network theorems, Maximum Power Transfer; Transient Circuits: RL, RC, RLC; Resonant Circuits; Magnetically Coupled Circuits; Two-Port Networks. |
| A0853305 |
Signals and Systems |
3 |
Classification of signals, basic concepts of sampling, basic continuous-time and discrete-time signals;signal processing using MATLAB; classification of systems, properties of continuous-time LTI systems, proprieties of discrete-time LTI systems, convolution processes, Laplace transform, transfer function; Fourier series; Fourier transform and applications, power spectral density, frequency response. |
| A0864401 |
Engineering Economy and Management |
3 |
|
| A0853309 |
Communication Systems |
3 |
|
| A0853502 |
Microprocessors and Embedded systems lab |
1 |
This lab Identifying internal structure and operation of the Microprocessor intel 8086/8088 and microcontroller PIC 16F877A , Design methodology for software for each (Intel 8086&PIC16F877A)
|
| A0853102 |
Random Operations and applications |
3 |
|
| A0853501 |
Microprocessors and Embedded systems |
3 |
Introduction to microprocessor and microcomputer; the 8086/8088 microprocessors and their architecture; addressing modes; instruction set; programming the microprocessor using assembly languages; introduction to embedded systems; introducing PIC 16 series: architecture overview of PIC16F84A, the 16F84A memory; building assembly programs: introduction to assemblers, PIC 16 Series instruction set; parallel ports; interrupts; counters and timers. |
| A0852303 |
Electronics |
3 |
Introduction to Electronics; Semiconductors: Intrinsic and Extrinsic Semiconductors, Electrical Properties of Semiconductors, Diffusion Process in Semiconductors; The PN Junction Diode: Forward, Reverse Biased Junction, V/I Static Characteristics, Diode Types: Zener, LED, and Photodiode; Diode Applications: Rectification, Clipper, and Clamper Circuits, Voltage Multipliers; Bipolar Junction Transistors: CB and CE Characteristics, DC Biasing and Analysis; BJT Applications: BJT as a Switch, and Amplifier; Field-Effect Transistor: V/I Characteristics of JFET and MOSFET, DC Biasing and Analysis; Biasing of Transistor (BJT and FET); Single-Stage Amplifier; Cascaded BJT and FET Amplifiers; Composite Transistor Stages; Operational Amplifiers and Applications; Differential Amplifier; Operational Amplifier Architectures; Frequency Response of Amplifiers; Negative-Feedback Amplifiers. |
| A0872303 |
Electrical Circuits |
3 |
"Introduction to electrical engineering. Fundamentals of electric circuits, |
| A0873501 |
Machines and Electrical Power |
3 |
Principles of electromagnetic circuit; single-phase transformers: ideal practical transformer, equivalent circuit, auto-transformer; three-phase transformer: types, connection; AC machinery fundamentals: principle of work, rotating magnetic field; three phase induction motors: principle of work, properties an performance, starting, speed control; synchronous machines: construction, internal generated voltage, equivalent circuit; operation modes: alone, parallel; synchronous motors: steady state operation, starting. |
| A0852301 |
Digital Logic Circuits |
3 |
Numbering System and Information Representation: Arithmetic Operations, Decimal and Alphanumeric Codes, Binary Logic; Boolean Algebra: Identities, Functions and Manipulation, Standard Forms, Simplification, Logic Gates, , Integrated Circuits; Combinational Logic Design: Circuits (Gate Level), Design Hierarchy and Procedures, Computer-Aided Design, Combinational Two-Level and Multi-Level Implementations, Arithmetic (Add, Subtract, Multiply) and Other Popular Modules (Multiplexers, Encoders, Decoders); Sequential Logic Design: Latches, Flip-Flops, State Machine Design and Minimization (Mealy Digital and Moore Models); Design Problems. |
| A0874501 |
Control Systems |
3 |
Concept of Control Systems; Open-loop and Closed-loop Systems; Mathematical Modeling of Physical Systems; Transfer Function and System Modeling Diagrams; Response Characteristics of Control Systems; Specifications of System Performance; Stability Analysis of Linear Control Systems; Routh?s Stability Criterion; Time-domain Analysis of Control Systems; Design of Controllers and Compensators. |
| A0852302 |
Digital Logic Circuits Lab. |
1 |
The Digital Logic Circuits laboratory develops students with the ability of identifying the digital logic gates and combinational logic circuits such as adders, decoders. Students are also conducting experiment with memory elements (flip-flops) and sequential logic circuits |
| A0852601 |
Object Oriented Programming |
3 |
Introduction to Object Oriented Programming; Classes; Objects; Strings; Control Statements; Methods Arrays; Parameter Passing, Encapsulation, Inheritance, Polymorphism and an Introduction to The Graphical User Interface (GUI). |
