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 included in the course syllabus at the   Bachelor of   MTT 200 -Calculus II  eigenvalues, eigenvectors, and   of theoretical concepts presented   spreadsheet programs of comparable
 time of offering  Credit Hours: 3      diagonalizing matrices.    in Physics I course (PHY102) by   capability. To accomplish this, each
 CIV428 Slope Stability and Earth   Science in   Prerequisite: MTT 102  MTT 205 - Differential Equations  performing landmark experiments   laboratory station is equipped with a
                                      with emphasis on the presentation
                                                                     PC and required software.
 Structures  Computer   This Calculus II course builds upon   Credit Hours: 3      and interpretation of experimental
 Credit Hour:  3   Calculus I whose purpose was to   Prerequisite: MTT 200      data.  • Experiments will be performed
                                                                     as shown in the lab syllabus. All
 Prerequisite: CIV324  Engineering  establish a firm understanding of   Co-requisite: MTT 204  PHY 201 - Physics and   labs will include an introductory
 the foundations of calculus and
 The purpose of this course is to   their applications. It will start with   This course is designed to equip   Engineering Applications II  lecture followed by completion of
                                                                     the laboratory assignment. Before
 provide the students with an in-depth   some functions seen in Calculus I.   engineering students with essential   Credit Hours: 3      students leave the lab, they must
 knowledge and understanding of   Degree Requirements  Then, students will be introduced   techniques for solving various types   Prerequisite: PHY 102  request the instructor s review of
 concepts/principles used in the   to the concepts of Transcendental   of first-order differential equations   their data and sign it. Signed raw
 stability investigation of slopes and   Functions, Integration Technique,   including Separable, Exact, Linear,   The course is intended to provide   data sheets must be attached to
 embankments and their application   infinite Series and power Series.   and Bernoulli equations. Additionally,   engineering and computer   reports when they are submitted.
 in the design of earth dams and   ECS100 - Introduction to   Through the process of working   students will learn to formulate   science students with sufficient   Student cannot receive a lab report
 earth retaining structures.  Engineering and Computing  through application problems, the   mathematical models for basic   understanding and knowledge of   grade without an original raw data
 Credit Hours: 3         student will develop the ability to   physical systems. Moreover, they will   physics concepts in Electricity and   sheet signed by their instructor.
        solve higher-order linear ordinary
                                      Magnetism that can be relevant to
 Prerequisite: No Prerequisite  interpret and evaluate real world   differential equations using different
 application problems from text form   their field of study. The course is   CSC 201 - Computer
 This course provides an introductory   into a mathematical equation.  methods such as the auxiliary   divided into two parts; Electricity and   Programming I
 general overview of electrical   equation, infinite series, and Laplace   Magnetism. The topics covered are;
 engineering, biomedical engineering,   MTT 202 - Discrete Structures   transforms. Furthermore, students   electric field, Gauss’s law, electric   Credit Hour: 3
 computer engineering, and AI   and Applications  will explore the solution of systems of   potential, capacitance and dielectrics,   Prerequisite: MTT 101 or Higher
 and robotics engineering fields,   Credit Hours: 3      differential equations.   current and resistance, direct current   The main objective of this course is to
 introducing students to concepts,   Prerequisite: STT 100  PHY 102 - Physics and   circuits, magnetic fields, sources   provide students with the logic and
 techniques, and applications   Engineering Applications I  of magnetic field, Faraday’s law,   tools required to develop scientific
 of Electrical, Computer, and   This course provides an introductory   inductance, and alternating current   software programs in MATLAB.
 Biomedical Engineering. Topics   exploration of fundamental concepts   Credit Hours: 3      circuits.   MATLAB is a matrix based language
 covered include an Introduction to   in logic, proofs, cryptography,   Prerequisite: MTT 102  Taken Simultaneously with PHY 201L   that is commonly used for scientific
 Engineering, Roles, and Workplace   induction, set theory, functions,   (1credit hour) prerequisite PHY 102 +   and engineering computing. MATLAB
 of Engineers, Ethical Practices in   recursion, and relations, emphasizing   The course aim is to provide   PHY 201 Co-requisite.  has a rich set of toolboxes for a wide
 Engineering, Design Process, Basic   their relevance in computer science   engineering and computer science   range of applications in science
 Circuit Concepts, Numeric Systems,   and engineering. Additionally,   students with clear understanding   PHY 201L - Physics and   and engineering. The material for
 and Teamwork. Students connect   students are introduced to graphs   of the basic concepts of physics.   Engineering Applications II   this course includes: Introduction
 theoretical concepts learned in the   and trees as powerful tools for   The course is divided into two parts:   Laboratory  to Matlab Programming concepts,
 course to practice using hands-on   modeling and analyzing problems   Mechanics, and Waves. The topics   Control Structures (loops and
 laboratory experiences covering   in both computer science and   covered are; Units, Vectors and   Credit Hour: 1      conditions), Functions, Arrays and
 Ohm’s law, electronic simulations,   computer engineering domains.   Scalars, Kinematics, Newton’s laws of   Prerequisite: PHY 102      Object-Oriented programming.
 programming, and debugging. The   Finally, the course covers the basics   Motion, Work and Energy, Oscillatory   Co requisite: PHY 201
 course has a project where students   of Finite Automata and their practical   Motion, Waves Motion, Sound   This course is designed to help   COE 101 - Introductory Artificial
 work in teams using Tinkercad,   applications.  Waves and Superposition of Waves.   students develop the ability to   Intelligence
 EasyEDA, ICs, PCBs, and testing and   Taken simultaneously with PHY 102L   perform scientific experiments and
 measuring equipment to design   MTT 204 - Introduction to Linear   (1credit hour) prerequisite MTT 102 +   to enhance their understanding of   Credit Hours: 3
 an electrocution protection system    Algebra  PHY 102 Co-requisite.  theoretical material presented in   Prerequisite: STT 100
 and communicate their experience   Credit Hours: 3      PHY 102L - Physics and   Phy201 (Electricity and Magnetism)   This course builds on the concepts
 using presentations and reports.   Prerequisite: MTT 200  Engineering Applications I   by performing landmark experiments   and skills acquired in STT100 General
 Students will also analyze the   Laboratory  with emphasis on the presentation   Statistics. It introduces students
 impact of Electrical, Computer, and   This course introduces Linear   and interpretation of experimental   to concepts, techniques, and
 Biomedical Engineering on society,   Algebra and its practical applications,   Credit Hour: 1      data.   applications of Artificial Intelligence.
 the environment, and the economy.  particularly in Engineering. It aims   Prerequisite: MTT 102      Topics covered include Artificial
 to impart fundamental concepts of   Co-requisite: PHY 102  • The student will be required to   Intelligence Termonologies, Data
 linear algebra while demonstrating   make extensive use of computer-  Preprocessing, Supervised Learning
 their applicability in engineering   This course is designed to help   generated graphs and tables   ( e.g., Regression and Classification),
 contexts. Topics covered include   students develop the ability to   for displaying and analyzing   AI Performance Evaluation and Bias,
 matrices, systems of linear equations,   perform scientific experiments and   experimental data. This will be   Neural Networks, Convolutional
 determinants, linear transformations,   to enhance their understanding   accomplished using Excel or other


 Abu Dhabi University | Undergraduate Catalog 2026 - 2027  Abu Dhabi University | Undergraduate Catalog 2026 - 2027
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