Page 468 - Undergraduate Catalog 2023-24

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Bachelor of application problems from text form coefficients. Solve ordinary linear The topics covered are; electric CSC 201 - Computer illustrate the principles and concepts
into a mathematical equation.
for the course CHE 205.
differential equations using infinite
field, Gauss’s law, electric potential,
Programming I
Science in MTT 201 - Calculus III series and Laplace transform. Solve capacitance and dielectrics, current Credit Hours: 3 COE 101 - Introductory Artificial
and resistance, direct current circuits,
systems of differential equations.
Electrical Credit Hours: 3 PHY 102 - Physics & Engineering magnetic fields, sources of magnetic Prerequisite: MTT 101 or Higher Intelligence
field, Faraday’s law, inductance, and
Prerequisite: MTT 200
Credit Hours: 3
The main objective of this course is to
Engineering This course is a continuation of the Applications I alternating current circuits. Taken provide students with the logic and Prerequisite: STT 100
Simultaneously with PHY 201L
study of calculus II. The purpose was Credit Hours: 3 (1credit hour) prerequisite PHY 102 + tools required to develop scientific This course introduces students to
Prerequisite: MTT 102
software programs in MATLAB.
to establish a firm understanding PHY 201 Co-requisite. MATLAB is a matrix based language broad topics in artificial intelligence
Degree Requirements of multi-dimensional aspects of The course aim is to provide PHY 201L - Physics and that is commonly used for scientific (AI) and machine learning without
calculus and its applications. The
computer science students with clear
requiring them to have a computing
topics covered are: An introduction understanding of the basic concepts Engineering Application II and engineering computing. MATLAB or mathematical background.
has a rich set of toolboxes for a wide
to vectors and geometry of space, of physics. The course is divided into Laboratory Students will have a closer look
ECS 200 - Introduction to partial derivatives, and multiple two parts: Mechanics, and Waves. range of applications in science at the booming field of AI and
Engineering and Computing integrals. The topics covered are; Units, Vectors Credit Hour: 1 and engineering. The material for develop insights on how it drives
Credit Hours: 3 Through the process of working and Scalars, Kinematics, Newton’s Prerequisite: PHY 102 this course includes: Introduction value for the society in virtually
to MATLAB Programming concepts,
Co-requisite: PHY 201
Prerequisite: No Prerequisite through application problems, the laws of Motion, Work and Energy, Control Structures (loops and all sectors including business,
Oscillatory Motion, Wave Motion,
This course provides an introductory student will develop the ability to Sound Waves, and Superposition of This course is designed to help conditions), Functions, Arrays and healthcare, education, engineering,
and governance. The course
students develop the ability to
general overview of electrical interpret and evaluate real world Waves. Taken simultaneously with perform scientific experiments and Object-Oriented programming. covers basic AI concepts and
engineering, biomedical engineering, application problems from text form PHY 102L (1 credit hour) prerequisite to enhance their understanding of CHE 205 - General Chemistry I terminologies, applications, tools,
information technology, and into a mathematical equation. MTT 102 + PHY 102 Co-requisite. theoretical material presented in and performance evaluation in an
computer engineering fields. The MTT 204 - Introduction to Linear Phy201 (Electricity and Magnetism) Credit Hours: 3 accessible way to a wide range of
course aims to introduce students Algebra PHY 102L - Physics and by performing landmark experiments Co-requisite: ENG 200 (Co)/ENG 100 (Co) audiences. Students are introduced
to: these fields as professions, IEEE Engineering Applications I with emphasis on the presentation Chemistry is the study of matter and to supervised learning including
codes of ethics, engineering design Credit Hours: 3 Laboratory and interpretation of experimental interactions. This course introduces classification and regression, deep
concepts, project management, Prerequisite: MTT 200 Credit Hours: 1 data. the principles of chemistry including; learning, unsupervised learning, and
challenges in team work, laboratory Prerequisite: MTT 102 elements and their symbols, the reinforcement learning. They are also
health and safety procedures, data This course is an introduction to Co-requisite: PHY102 The student will be required to make periodic table, names and formulas trained on using simple yet powerful
analysis and report writing. The Linear Algebra and some of its extensive use of computer-generated of compounds, chemical reactions, AI tools to empower their creativity
course also introduces software applications. The aim is to teach the This course is designed to help graphs and tables for displaying and balancing chemical equations, and innovation in problem solving, AI
tools used in later courses. Upon fundamentals of linear algebra in a students develop the ability to analyzing experimental data. This stoichiometry, and other major strategy design, process automation,
successful completion of this course, way that illustrates their relevance perform scientific experiments and will be accomplished using Excel principles of organic and in-organic and cost reduction, and thus add
students will have a good foundation to engineering applications. An to enhance their understanding or other spreadsheet programs of substances. Laws and applications value to their future employers. This
of knowledge which helps them in Introduction to Matrices and Systems of theoretical concepts presented comparable capability. To accomplish will also be described in this course. is done through a practical course
their later courses. of Linear Equations are given with in Physics I course (PHY 102) by this, each laboratory station is component designed to allow
other topics such as; Determinants, equipped with a PC and required This course gives the students a full
MTT 200 - Calculus II Linear Transformations, Eigenvectors performing landmark experiments software. idea about the basic definitions of students to build simple data-driven
with emphasis on the presentation
and Eigenvalues and Diagonalizing chemistry, chemical interactions and AI using Excel. The data used in
Credit Hours: 3 Matrices. Engineering applications of and interpretation of experimental Experiments will be performed laws, and characteristics of mater. these laboratories is collected from
Prerequisite: MTT 102 linear algebra are incorporated using data. as shown in the lab syllabus. All Also, it reviews important algebraic different domains such as health,
This Calculus II course builds upon Math software available. PHY 201 - Physics and labs will include an introductory concepts and introduces the use of environmental science, business, and
engineering.
Calculus I whose purpose was to MTT 205 - Differential Equations Engineering Applications II lecture followed by completion of these concepts in chemistry.
establish a firm understanding of the laboratory assignment. Before CHE 201L - Chemistry Lab COE 202 - Engineering Ethics,
the foundations of calculus and Credit Hours: 3 Credit Hours: 3 students leave the lab, they must Economy, and Law
their applications. It will start with Prerequisite: MTT 200 Prerequisite: PHY 102 request the instructor s review of Credit Hour: 1
some functions seen in Calculus I. Co-requisite: MTT 204 The course is intended to provide their data and sign it. Signed raw Co-requisite: CHE 205 Credit Hours: 3
Then, students will be introduced computer science students with data sheets must be attached to This course introduces the principles Prerequisite: ENG 200 + MTT 102

to the concepts of Transcendental The course aim is to provide sufficient understanding and reports when they are submitted. and concepts of chemistry with the This course integrates two
Functions, Integration Technique, engineering students with some knowledge of physics concepts in Student cannot receive a lab report emphasis on laboratory skills and interrelated general engineering
infinite Series and power Series. standard methods to solve first order Electricity and Magnetism that can grade without an original raw data
Separable, Exact, Linear and Bernoulli sheet signed by their instructor. practical hands-on experiences for disciplines, namely: ethics and
Through the process of working differential equations. Construct be relevant to their field of study. the students. This course will have economy. In the first part of the
through application problems, the mathematical models of simple The course is divided into two parts; laboratory experiments, simulated course, the students are introduced
student will develop the ability to physical systems. Solve higher order Electricity and Magnetism. experiments, demonstrations and to ethical issues that practicing
interpret and evaluate real world linear ODE’s with constant group activities for the students that engineers may face in their
Abu Dhabi University | Undergraduate Catalog 2023 - 2024 Abu Dhabi University | Undergraduate Catalog 2023 - 2024