| Course Code |
Course Name |
Credit hours |
Description |
| A0110161 |
Islamic Culture |
3 |
|
| A0110163 |
Archeology and Tourism in Jordan |
3 |
|
| A0110164 |
Development and Environment |
3 |
|
| A0110165 |
Contemporary Issues |
3 |
|
| A0411601 |
Legal Education and Human Rights |
3 |
This course identifying the basic concepts of human rights in an analytical way, and then realistic clarify of the international & regional means dealing with human rights such as treaties, recommendations and international means that are in the process of formation, such imperative rules & customs, this course also address realistically the content of human rights and the rights of the first generation such as right of living. The second-generation rights such as the right to work and third-generation rights such as the right of environment. International ways to protect human rights in general. In addition, the extent to which the Jordanian constitution is compatible with international human rights standards. |
| A0110162 |
History of Jordan and Palestine |
3 |
|
| A0110166 |
Media and Public Relations |
3 |
|
| 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 |
| 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. |
| A0852202 |
Communication Skills and Artificial Intelligence |
2 |
|
| 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 |
|
| 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. |
| A0110102 |
Mathematics (2) |
3 |
|
| A0832103 |
Engineering statistics and probability |
3 |
|
| A0110113 |
General Physics Lab. |
1 |
|
| A0110121 |
General Chemistry |
3 |
|
| A0110112 |
General Physics (2) |
3 |
|
| A0851202 |
Engineering Workshops |
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. |
| A0110101 |
Mathematics (1) |
3 |
|
| A0852203 |
Engineering Ethics |
1 |
|
| Course Code |
Course Name |
Credit hours |
Description |
| A0882401 |
Mechanical Drawing |
1 |
|
| A0885302 |
EV Simulation Lab |
1 |
|
| A0884501 |
Field Training |
3 |
|
| A0885401 |
Vehicular Engineering and Design |
3 |
|
| A0885305 |
Applications of Artificial Intelligence in EV |
3 |
|
| A0885402 |
Steering systems , safety and protection systems in vehicles |
3 |
|
| A0884306 |
Vehicle Software Engineering |
2 |
|
| A0884305 |
Vehicular Architecture and Embedded Systems |
3 |
|
| A0885303 |
Vehicular Systems Testing |
2 |
|
| A0885304 |
Vehicular Systems Testing lab |
1 |
|
| A0883302 |
Introduction to Electric Vehicles |
2 |
|
| A0884202 |
Electrical Vehicles Thermal Systems |
3 |
|
| A0883101 |
Dynamics and Vibration |
3 |
|
| A0885301 |
Energy Storage Technologies |
2 |
|
| A0884201 |
Heat Transfer |
3 |
|
| A0884302 |
Vehicular Sensors& Actuators lab |
1 |
|
| A0884303 |
Vehicular Control Systems |
2 |
|
| A0883301 |
Vehicular signals and Systems |
3 |
|
| A0885502 |
Graduation Project (2 |
2 |
|
| A0884301 |
Vehicular Sensors& Actuators |
3 |
|
| A0884304 |
Vehicular Control Lab |
1 |
|
| A0884101 |
Mechanical Design |
3 |
|
| A0885501 |
Graduation Project (1) |
1 |
|
| A0883401 |
Metallurgy |
2 |
|
| A0883102 |
Engineering Measurements |
3 |
|
| Course Code |
Course Name |
Credit hours |
Description |
| A0885604 |
Autonomous Vehicles |
3 |
|
| A0885603 |
Selected Topics in Electric Vehicles |
3 |
|
| A0885601 |
Pneumatic and hydraulic systems |
3 |
|
| A0885602 |
Virtual Instrumentation in Automotive |
3 |
|
| 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). |
| A0885608 |
Vehicular Communication Systems |
3 |
|
| Course Code |
Course Name |
Credit hours |
Description |
| A0862401 |
Statics |
3 |
Principles of mechanics; system of units; force vectors; resultant forces; equilibrium of a particle; rigid bodies; equivalent systems of forces; centriods and centers of gravity; analysis of structures: frames, machines, and trusses; shear forces and bending moments; friction; moments of inertia; principle of virtual work. |
| A0874511 |
Power Electronics & Drives |
3 |
|
| A0853102 |
Random Operations and applications |
3 |
|
| A0864401 |
Engineering Economy and Management |
3 |
|
| A0873506 |
Electric Machines for Vehicles |
2 |
|
| A0862402 |
Strength of Materials |
3 |
Mechanical properties of materials; stresses and strains in members subjected to tension, compression, and shear; torsion stresses; flexural and shearing stresses in beams; combined stresses; transformation of stresses and strains; deflection of beams; buckling of columns. |
| 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, |
| A0862601 |
Fluid Mechanics |
3 |
|
| A0874302 |
Power Electronics Lab. |
1 |
Single-Phase Half-Wave Rectifiers: Controlled, and Uncontrolled; Single-Phase Full-Wave Rectifiers: Controlled, and Uncontrolled, and Semi-Controlled; Three-Phase Half-Wave Rectifiers: Controlled, and Uncontrolled; Three-Phase Full-Wave Rectifiers: Controlled, and Uncontrolled, and Semi-Controlled; Regulators; Invertors. |
| A0862302 |
Engineering Materials Science |
3 |
Definition of engineering materials. Classification of materials and their properties. Metallic and non-metallic materials. Metals, alloys and composite materials. Conductors, insulators and semiconductors. Mechanical, Magnetic, Thermal and electrical characteristics of materials. Industrial applications of different types of materials. |
| 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. |
| A0873510 |
Electric Machines Vehicles Lab |
1 |
|
