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of the basic concepts of physics. This course is designed to help the course the students will follow classification and regression, deep include replacement analysis, humid environment of the Gulf
The course is divided into two parts: students develop the ability to the data-driven approach to solve learning, unsupervised learning, inflation and depreciation. The course region. Sample engineering design
Mechanics, and Waves. The topics perform scientific experiments and real-life problems through a series and reinforcement learning. They enables students to make suitable project to understand the effect
covered are; Units, Vectors and to enhance their understanding of of practical labs and class activities. are also trained on using simple decisions in their professional life of contemporary issues on civil
Scalars, Kinematics, Newton’s laws of theoretical material presented in They will learn how to design yet powerful Artificial Intelligence when they have to make a decision engineering profession.
Motion, Work and Energy, Oscillatory Phy201 (Electricity and Magnetism) and implement introductory to tools to empower their creativity on ethical and economical basis.
Motion, Waves Motion, Sound Waves by performing landmark experiments intermediate data-driven decision- and innovation in problem solving, CIV 201 - Statics
and Superposition of Waves. Taken with emphasis on the presentation support systems using Microsoft Artificial Intelligence strategy Credit Hour: 3
simultaneously with PHY 102L (1 and interpretation of experimental Excel. The course concludes by design, process automation, and Major Requirements Prerequisite: PHY 102
credit hour) prerequisite MTT 102 + data. introducing the students to a variety cost reduction, and thus add value
PHY 102 Co-requisite. of special data analytics applications to their future employers. This is The course introduces
CSC 201 - Computer in engineering, health, business, and done through a practical course undergraduate students to the
PHY 102L - Physics and Programming I the web emphasizing social, security, component designed to allow CIV 102 - Computer Aided fundamentals of engineering
Engineering Applications I Lab and economic dimensions. students to build simple data-driven Drawing problem solving. It utilizes vector
Credit Hour: 3 Artificial Intelligence using Excel. algebra and free body diagrams to
Credit Hours: 1 Prerequisite: MTT 101 or higher GEN 300 - Numerical Methods The data used in these laboratories Credit Hour:3 solve statics problems. Students
Prerequsite: MTT 102 is collected from different domains Prerequisite: No Prerequisite apply mathematics, calculus and
Co-requisite: PHY 102 The main objective of this course is to Credit Hour: 3 This course is an introduction to physics to solve engineering
provide students with the logic and Prerequisite: MTT 205 + CSC 201 such as health, environmental
This course is designed to help tools required to develop scientific science, business, and engineering. computer aided drawing utilizing problems such as, calculation of
students develop the ability to software programs in MATLAB. A course that deals with the COE 202 - Engineering Ethics, AutoCAD software to produce civil external and internal forces acting
perform scientific experiments and MATLAB is a matrix based language application of numerical methods in engineering drawings. Students on rigid bodies (and particles)
to enhance their understanding that is commonly used for scientific solving civil engineering problems. Economy and Law will gain basic to intermediate under static equilibrium. The course
of theoretical concepts presented and engineering computing. MATLAB Topics covered include: mathematical Credit Hour: 3 proficiency in AutoCAD, annotation, also enables students to analyze
in Physics I course (PHY102) by has a rich set of toolboxes for a wide modeling and error analysis, solution Prerequisite: ENG 200 + MTT 102 geometric construction, and line distributed forces; locate centroid;
performing landmark experiments range of applications in science of linear and nonlinear equations, conventions. The course will also find moments of inertia, and draw
with emphasis on the presentation and engineering. The material for numerical differentiation and This course integrates two introduce students to orthographic moment and shear diagrams..
and interpretation of experimental this course includes: Introduction integration, optimization, curve- interrelated general engineering projections, isometric view, sectional CIV 205 - Introduction to
data. to MATLAB Programming concepts, fitting, and solution of ordinary disciplines, namely: ethics and views, and drawings of section views Geomatics
Control Structures (loops and differential equations. The course for civil engineering applications
PHY 201 - Physics and conditions), Functions, Arrays and also provides students with a hands- economy. In the first part of the including structural, geotechnical, Credit Hour: 3
Engineering Application II Object-Oriented programming. on introduction to mathematical course, the students are introduced transportation, etc., Examples Prerequisite: MTT 102
to ethical issues that practicing
Credit Hour: 3 COE102 - Introductory Big Data programming using MATLAB. engineers may face in their included are intended to improve This course covers plane surveying,
student’s visualization.
Prerequisite: PHY 102 Analysis COE 101 - Introductory Artificial professional practice. This includes a topographical surveying, horizontal
The course is intended to provide Credit Hour: 3 Intelligence discussion of the code of ethics and CIV104 - Introduction to Civil and vertical curves, topographic
Engineering
responsibility of engineers, ethical
engineering and computer Prerequisite: STT 100 Credit Hour: 3 theories, ethical problems-solving surveys, construction surveys,
science students with sufficient Prerequisite: STT100 methods, and case studies based Credit Hour:3 earthwork, route surveying. Use of
understanding and knowledge of This course provides a general on real events that illustrate the Prerequisite: No Prerequisite specialized software for earthwork
physics concepts in Electricity and introduction to Data Analytics. This course introduces students to problems faced by engineers. The calculations, site grading, site layout,
Magnetism that can be relevant to It provides an essential guide to broad topics in artificial intelligence case studies also show the effects of This course introduces students adjusting measured quantities,
their field of study. The course is understand and use data analytics and machine learning without engineering decisions on society. to the study and practice of civil calculating coordinates and areas,
divided into two parts; Electricity and in real-life applications without the requiring them to have a computing engineering; specialized sub- and locating points for design grades
Magnetism. The topics covered are; need for any previous familiarity or mathematical background. The second part of the course gives disciplines of civil engineering; and planned roadways.
electric field, Gauss’s law, electric programming. The course starts Students will have a closer look at the students a working knowledge professionalism and professional Mathematical topics for surveying
potential, capacitance and dielectrics, by introducing the main concepts booming field of Artificial Intelligence on making economic comparison registration; engineering ethics; andconstruction including
current and resistance, direct current of Data Analytics to provide a solid and develop insights on how it drives of investment alternatives in introduction to static and dynamic probability, error and precision;
circuits, magnetic fields, sources understanding of the field, its value for the society in virtually engineering project environment. equilibrium; mathematical matrix operations; allocation theory;
of magnetic field, Faraday’s law, subfields, and major application all sectors including business, This includes description of the computing; exercises in engineering network analysis; and constraint
inductance.). areas. Then, we move through the healthcare, education, engineering, interest and time value of money technical communications based optimization.Applications
various types of analytics starting and governance. The course covers relationships, methods of comparing Water resources; environmental of global positioning systems and
PHY 201L - Physics and with basic univariate descriptive basic Artificial Intelligence concepts alternatives using economic concepts engineering; geotechnical
Engineering Application II Lab analytics and moving through and terminologies, applications, such as: the rate-of return (ROR), the engineering; foundation design; and geographical information systems
to civil engineering projects. Brief
Credit Hour: 1 multivariate until we reach predictive tools, and performance evaluation in present worth (PW), the future worth transportation principles. coverage of the fundamental
Prerequisite: PHY 102 analytics. The course is designed an accessible way to a wide range of (FW), the annual equivalent (AE), Introduction to the concepts of concepts of the systems.
Co-requisite: PHY 201 in a way that balances between audiences. Students are introduced cost-benefit analysis and breakeven engineering design in the hot and
theory and practice. Throughout to supervised learning including and payback analysis. Other topics

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