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GOL 205 - Physical Geology Working through application Mechanics, and Waves. The topics PHY 201L - Physics and various types of analytics starting and governance. The course covers
problems, the students will develop covered are; Units, Vectors and Engineering Application II Lab with basic univariate descriptive basic Artificial Intelligence concepts
Credit Hour: 3 (2 lecture+ 1 lab) the ability to interpret and evaluate Scalars, Kinematics, Newton’s laws of analytics and moving through and terminologies, applications,
Prerequisite: No Prerequisite real world application problems Motion, Work and Energy, Oscillatory Credit Hour: 1 multivariate until we reach predictive tools, and performance evaluation in
Co-requisite: ENG 200 from text form into a mathematical Motion, Waves Motion, Sound Waves Prerequisite: PHY 102 analytics. The course is designed an accessible way to a wide range of
Origin of the Earth and its shells; equation. and Superposition of Waves. Taken Co-requisite: PHY 201 in a way that balances between audiences. Students are introduced
composition of the Earth’s crust MTT 204 - Introduction to Linear simultaneously with PHY 102L (1 This course is designed to help theory and practice. Throughout to supervised learning including
and oceans, and their geological Algebra credit hour) prerequisite MTT 102 + students develop the ability to the course the students will follow classification and regression, deep
characteristics; primary and PHY 102 Co-requisite. perform scientific experiments and the data-driven approach to solve learning, unsupervised learning,
secondary structures; internal Credit Hour: 3 to enhance their understanding of real-life problems through a series and reinforcement learning. They
geological processes; plate tectonics Prerequisite: MTT 200 PHY 102L - Physics and theoretical material presented in of practical labs and class activities. are also trained on using simple
and the relation of geological events Engineering Applications I Lab Phy201 (Electricity and Magnetism) They will learn how to design yet powerful Artificial Intelligence
to it. External geological processes; This course introduces Linear Credit Hours: 1 by performing landmark experiments and implement introductory to tools to empower their creativity
stratigraphic columns, details of Algebra and its practical applications, Prerequsite: MTT 102 with emphasis on the presentation intermediate data-driven decision- and innovation in problem solving,
the geological time scale and case particularly in Engineering. It aims Co-requisite: PHY 102 and interpretation of experimental support systems using Microsoft Artificial Intelligence strategy
studies of geological ages and their to impart fundamental concepts of data. Excel. The course concludes by design, process automation, and
palaeogeographic distribution; linear algebra while demonstrating This course is designed to help introducing the students to a variety cost reduction, and thus add value
climate; important biological aspects. their applicability in engineering students develop the ability to CSC 201 - Computer of special data analytics applications to their future employers. This is
contexts. Topics covered include perform scientific experiments and Programming I in engineering, health, business, and done through a practical course
MTT 200 - Calculus II matrices, systems of linear equations, to enhance their understanding the web emphasizing social, security, component designed to allow
determinants, linear transformations, Credit Hour: 3 and economic dimensions. students to build simple data-driven
Credit Hour: 3 eigenvalues, eigenvectors, and of theoretical concepts presented Prerequisite: MTT 101 or higher Artificial Intelligence using Excel.
Prerequisite: MTT 102 diagonalizing matrices. in Physics I course (PHY102) by GEN 300 - Numerical Methods The data used in these laboratories
performing landmark experiments
The Calculus II course extends the MTT 205 - Differential Equations with emphasis on the presentation The main objective of this course is to Credit Hour: 3 is collected from different domains
provide students with the logic and
principles introduced in Calculus I, and interpretation of experimental tools required to develop scientific Prerequisite: MTT 205 + CSC 201 such as health, environmental
aiming to deepen understanding and Credit Hour: 3 data. software programs in MATLAB. science, business, and engineering.
expand applications. Beginning with Prerequisite: MTT 200 MATLAB is a matrix based language A course that deals with the
a review of foundational functions Co-requisite: MTT 204 PHY 201 - Physics and that is commonly used for scientific application of numerical methods in COE 202 - Engineering Ethics,
from Calculus I, students will Engineering Application II and engineering computing. MATLAB solving civil engineering problems. Economy and Law
progress to explore Transcendental This course is designed to equip Credit Hour: 3 has a rich set of toolboxes for a wide Topics covered include: mathematical Credit Hour: 3
Functions, Integration Techniques, engineering students with essential Prerequisite: PHY 102 range of applications in science modeling and error analysis, solution Prerequisite: ENG 200 + MTT 102
Infinite Series, and Power Series. techniques for solving various types and engineering. The material for of linear and nonlinear equations,
Through practical problem-solving of first-order differential equations The course is intended to provide this course includes: Introduction numerical differentiation and This course integrates two
exercises, students will refine including Separable, Exact, Linear, engineering and computer to MATLAB Programming concepts, integration, optimization, curve- interrelated general engineering
their skills in translating real- and Bernoulli equations. Additionally, science students with sufficient Control Structures (loops and fitting, and solution of ordinary disciplines, namely: ethics and
world scenarios into mathematical students will learn to formulate understanding and knowledge of conditions), Functions, Arrays and differential equations. The course economy. In the first part of the
equations, enhancing their ability mathematical models for basic physics concepts in Electricity and Object-Oriented programming. also provides students with a hands- course, the students are introduced
to interpret and solve complex physical systems. Moreover, they will Magnetism that can be relevant to on introduction to mathematical to ethical issues that practicing
application problems. solve higher-order linear ordinary their field of study. The course is COE102 - Introductory Big Data programming using MATLAB. engineers may face in their
differential equations using different divided into two parts; Electricity and Analysis
MTT 201 - Calculus III methods such as the auxiliary Magnetism. The topics covered are; COE 101 - Introductory Artificial professional practice. This includes a
equation, infinite series, and Laplace electric field, Gauss’s law, electric Credit Hour: 3 Intelligence discussion of the code of ethics and
Credit Hour: 3 transforms. Furthermore, students Prerequisite: STT 100 responsibility of engineers, ethical
Prerequisite: MTT 200 will explore the solution of systems of potential, capacitance and dielectrics, Credit Hour: 3 theories, ethical problems-solving
current and resistance, direct current
Prerequisite: STT100
This course is a continuation of the differential equations. circuits, magnetic fields, sources This course provides a general methods, and case studies based
introduction to Data Analytics.
on real events that illustrate the
study of Calculus II. The purpose is PHY 102 - Physics and of magnetic field, Faraday’s law, It provides an essential guide to This course introduces students to problems faced by engineers. The
to establish a firm understanding Engineering Applications I inductance.). understand and use data analytics broad topics in artificial intelligence case studies also show the effects of
of multi-dimensional aspects of in real-life applications without the and machine learning without engineering decisions on society.
calculus and its applications. The Credit Hour: 3 need for any previous familiarity requiring them to have a computing
topics covered are as follows: An Prerequisite: MTT 102 programming. The course starts or mathematical background. The second part of the course gives
introduction to vectors and geometry by introducing the main concepts Students will have a closer look at the students a working knowledge
of space, partial derivatives, and The course aim is to provide of Data Analytics to provide a solid booming field of Artificial Intelligence on making economic comparison
engineering and computer science
multiple integrals. students with clear understanding understanding of the field, its and develop insights on how it drives of investment alternatives in
of the basic concepts of physics. subfields, and major application value for the society in virtually engineering project environment.
all sectors including business,
This includes description of the
The course is divided into two parts: areas. Then, we move through the healthcare, education, engineering, interest and time value of money
Abu Dhabi University | Undergraduate Catalog 2026 - 2027 Abu Dhabi University | Undergraduate Catalog 2026 - 2027