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differential equations using infinite electric field, Gauss’s law, electric CSC 201 - Computer AI using Excel. The data used in methods to solve system of linear and provides the students with an
series and Laplace transform. Solve potential, capacitance and dielectrics, Programming I these laboratories is collected from equations, calculate Eigen values and opportunity to further develop and
systems of differential equations. current and resistance, direct current different domains such as health, Eigen vectors of matrices, (3) function refine their programming skills.
circuits, magnetic fields, sources Credit Hour: 3 environmental science, business, and approximation and interpolation In particular, the emphasis of this
PHY 102 - Physics and of magnetic field, Faraday’s law, Prerequisite: MTT 101 or Higher engineering. method: Lagrange’s interpolation, course is on the organization of
Engineering Applications I inductance, and alternating current The main objective of this course is to Newton’s interpolation, subsection information, the implementation
Credit Hours: 3 circuits. provide students with the logic and COE 202 - Engineering Ethics, low interpolation, and cubic spline of common data structures such
Prerequisite: MTT 102 Taken Simultaneously with PHY 201L tools required to develop scientific Economy and Law interpolation, (4) approximation for as lists, stacks, queues, trees, and
graphs, and techniques of data
numerical integration and differential,
The course aim is to provide (1credit hour) prerequisite PHY 102 + software programs in MATLAB. Credit Hours: 3 (5) approximation method for solving abstraction, including encapsulation
MATLAB is a matrix-based language
engineering and computer science PHY 201 Co-requisite. that is commonly used for scientific Prerequisite: ENG 200 + MTT 102 equations. and inheritance. We will also explore
students with clear understanding PHY 201L - Physics and and engineering computing. MATLAB recursion, hashing, and the close
of the basic concepts of physics. Engineering Applications II has a rich set of toolboxes for a wide This course integrates two relationship between data structures
The course is divided into two parts: Laboratory range of applications in science interrelated general engineering Major Requirements and algorithms. Operationally,
Mechanics, and Waves. The topics and engineering. The material for disciplines, namely: ethics and applications of data structures to
covered are; Units, Vectors and Credit Hour: 1 this course includes: Introduction economy. In the first part of the searching and sorting algorithms will
Scalars, Kinematics, Newton’s laws of Prerequisite: PHY 102 to MATLAB Programming concepts, course, the students are introduced be incorporated into programming
Motion, Work and Energy, Oscillatory Co requisite: PHY 201 Control Structures (loops and to ethical issues that practicing CSC 202 - Computer assignments as will complexity
Motion, Waves Motion, Sound conditions), Functions, Arrays and engineers may face in their Programming II analysis. Hands-on programming is a
Waves and Superposition of Waves. This course is designed to help Object-Oriented programming. professional practice. This includes a Credit Hours: 3 central component of this course.
Taken simultaneously with PHY 102L students develop the ability to discussion of the code of ethics and Prerequisite: CSC 201
(1credit hour) prerequisite MTT 102 + perform scientific experiments and COE 101 - Introductory Artificial responsibility of engineers, ethical CSC 303 - Digital Logic Design
PHY 102 Co-requisite. to enhance their understanding of Intelligence theories, ethical problems-solving Computer Programming II offers Credit Hours: 3
theoretical material presented in greater reliability, maintainability
PHY 102L - Physics and Phy201 (Electricity and Magnetism) Credit Hours: 3 methods, and case studies based and reusability than Structured Prerequisite: ECS 200
Engineering Applications I by performing landmark experiments Prerequisite: STT 100 on real events that illustrate the Programming. This course follows This course introduces theory
Laboratory with emphasis on the presentation problems faced by engineers. The on from Computer Programming and design of digital logic circuits,
and interpretation of experimental This course introduces students case studies also show the effects I which covers the structured including number systems, Boolean
Credit Hour: 1 data. to broad topics in artificial of engineering decisions on society.
Prerequisite: MTT 102 intelligence (AI) and machine The second part of the course gives programming concepts. The current algebra, logic gates, combinational
Co-requisite: PHY 102 • The student will be required to learning without requiring them to students a working knowledge course introduces the students to and sequential circuit design and
make extensive use of computer- have a computing or mathematical on making economic comparison the concepts of Object Orientated analysis, Karnaugh maps, truth
This course is designed to help generated graphs and tables background. Students will have a of investment alternatives in Programming. It develops the basic tables, logic optimization, arithmetic
students develop the ability to for displaying and analyzing closer look at the booming field engineering project environment. skills necessary to develop software circuits, flip-flops, counters, memory
perform scientific experiments and experimental data. This will be of AI and develop insights into This includes description of the application programs in Java using and storage, synchronous and
to enhance their understanding accomplished using Excel or other how it drives value for society interest and time value of money objected oriented principles and asynchronous state machines, and
of theoretical concepts presented spreadsheet programs of comparable in virtually all sectors including relationships, methods of comparing concepts. introduction to programmable logic.
in Physics I course (PHY102) by capability. To accomplish this, each business, healthcare, education, alternatives using economic concepts It also introduces students to a
performing landmark experiments laboratory station is equipped with a engineering, and governance. The such as: the rate-of return (ROR), the The course presents the main systematic design methodology.
with emphasis on the presentation PC and required software. course covers basic AI concepts and present worth (PW), the future worth principles of Objected Oriented
and interpretation of experimental terminologies, applications, tools, (FW), the annual equivalent (AE), Programming: data abstraction, CSC 305 - Data Communications
data. • Experiments will be performed and performance evaluation in an cost-benefit analysis and breakeven objects and classes, inheritance, and Networks
as shown in the lab syllabus. All and polymorphism, exception
PHY 201 - Physics and labs will include an introductory accessible way to a wide range of and payback analysis. Other topics handling, abstract classes and Credit Hours: 3
Engineering Applications II lecture followed by completion of audiences. Students are introduced include replacement analysis, interfaces. Students should have Prerequisite: Junior Level
inflation and depreciation. The course
to supervised learning including
Credit Hours: 3 the laboratory assignment. Before classification and regression, deep enables students to make suitable a core foundation of structured This course provides an introduction
programming principles in order to
Prerequisite: PHY 102 students leave the lab, they must learning, unsupervised learning, and decisions in their professional life progress smoothly and effectively in to modern data communications and
request the instructor s review of reinforcement learning. They are also when they have to make a decision computer networks from the physical
The course is intended to provide their data and sign it. Signed raw trained in using simple yet powerful on ethical and economical basis. this course. to the transport layers. The course
engineering and computer data sheets must be attached to AI tools to empower their creativity CSC 301 - Data Structures and will present data communications
science students with sufficient reports when they are submitted. and innovation in problem-solving, AI GEN 300 - Numerical Methods Algorithms fundamentals and computer
understanding and knowledge of Student cannot receive a lab report strategy design, process automation, networking methods, using the ISO
physics concepts in Electricity and grade without an original raw data and cost reduction, and thus add Credit Hours: 3 Credit Hours: 3 7-layer reference model to organize
Magnetism that can be relevant to sheet signed by their instructor. value to their future employers. This Prerequisite: MTT 205 + CSC 201 Prerequisite: CSC 202 + MTT 202 the study. Attention will be focused
their field of study. The course is is done through a practical course This course covers the following main on the protocols of the physical, data
divided into two parts; Electricity and component designed to allow topics: (1) numerical computation and This course builds on the pre- link control, network, and transport
Magnetism. The topics covered are; students to build simple data-driven error analysis, (2) direct and iteration requisites programming courses layers, for local and wide area

Abu Dhabi University | Undergraduate Catalog 2023 - 2024 Abu Dhabi University | Undergraduate Catalog 2023 - 2024