Page 506 - Undergraduate Catalog 2023-24

506 507

CSE 490 - Selected Topics in introduction to big data and the validation to techniques for the MTT 201 - Calculus III PHY 102 - Physics & Engineering inductance, and alternating current
Cybersecurity Data Analytics Lifecycle to address analysis and specification of software Credit Hours: 3 Applications I circuits. Taken simultaneously with
Credit Hours: 3 business challenges that leverage requirements. Prerequisite: MTT 200 Credit Hours: 3 PHY 201L (1 credit hour).
big data. The course provides
Prerequisite: Determined based on grounding in basic and advanced SWE 471 - Software Design and This course is a continuation of Prerequisite: MTT 102 PHY 201L - Physics and
topics analytic methods and an introduction Architecture the study of calculus. The course The course aim is to provide Engineering Application II Lab
Cybersecurity Engineering curriculum to big data analytics technology and Credit Hours: 3 provides an introduction to the engineering and computer science Credit Hour: 1
covers fundamental principles in tools, including MapReduce and Prerequisite: CSC 401 design, analysis. The topics covered students with clear understanding Prerequisite: PHY 102
different area such as database Hadoop. Labs offer opportunities for are: introduction to vectors, vector of the basic concepts of physics. Co requisite: PHY 201
security, network security, Secure students to understand how these This course presents concepts and calculus, partial derivatives, and The course is divided into two parts:
Programming, Operating systems methods and tools may be applied to methods for the design of software multiple integrals. Mechanics, and Waves. The topics This course is designed to help
security, and many other areas. real-world business challenges as a systems. Fundamental design MTT 204 - Introduction to Linear covered are; Units, Vectors and students develop the ability to
The main purpose of this course practicing data scientist. The course concepts using notation of Unified Scalars, Kinematics, Newton’s laws of perform scientific experiments and
is to study Cybersecurity related takes an “Open”, or technology- Modeling Language (UML). Designing Algebra Motion, Work and Energy, Oscillatory to enhance their understanding of
topic that are not included in the neutral approach, and includes a final for qualities such as performance, Credit Hours: 3 Motion, Wave Motion, Sound Waves, theoretical material presented in
current Cybersecurity Engineering lab in which students address a big security, reusability, reliability. Prerequisite: MTT 200 and Superposition of Waves. Taken Phy201 (Electricity and Magnetism)
curriculum. The content of the course data analytics challenge by applying Metrics and measurement. Survey of simultaneously with PHY 102L (1 by performing landmark experiments
and the subjects vary depending the concepts taught in the course software design methods; Object- This course is an introduction to credit hour). with emphasis on the presentation
on the instructor background and in the context of the Data Analytics oriented analysis and modeling; Linear Algebra and some of its and interpretation of experimental
students’ interest in the subject. Lifecycle. The course prepares the Software architecture design. applications. The aim is to teach the PHY 102L - Physics and data.
student for the Proven™ Professional fundamentals of linear algebra in a Engineering Applications I Lab
ITE 422 - System and Network Data Scientist Associate (EMCDSA) way that illustrates their relevance Credit Hour: 1 CHE 205 - General Chemistry I
Administration certification exam. Bachelor of to engineering applications. An Prerequisite: MTT 102 Credit Hours: 3
Credit Hours: 3 SWE 370 - Object Oriented Introduction to Matrices and Systems Co-requisite: PHY 102 Pre or Co-requisites: ENG 200
Prerequisite: CSC 305 Design Patterns Science in of Linear Equations are given with Chemistry is the study of matter and
other topics such as; Determinants,
This course is designed to provide Credit Hours: 3 Industrial Linear Transformations, Eigenvectors This course is designed to help interactions. This course introduces
students develop the ability to
students with the knowledge Prerequisite: CSC 202 and Eigenvalues and Diagonalizing perform scientific experiments and the principles of chemistry including;
required to administer and Engineering Matrices. Engineering applications of to enhance their understanding elements and their symbols, the
suggest alternative strategies for Software can be built utilizing linear algebra are incorporated using of theoretical concepts presented periodic table, names and formulas
the configuration, operation and proven solutions to common Math software available in Physics I course (PHY 102) by of compounds, chemical reactions,
monitoring of networks. Students will problems, called design patterns. MTT 205 - Differential Equations performing landmark experiments balancing chemical equations,
be made aware of the key factors that Reapplying design pattern solutions Degree Requirements with emphasis on the presentation stoichiometry, and other major
have impacts on system and network to new applications reduces the Credit Hours: 3 and interpretation of experimental principles of organic and in-organic
administration. The course will development cost and lends itself Prerequisite: MTT 200 data substances. Laws and applications
introduce the concepts, techniques to extensibility. This course is about Co-requisite: MTT 204 will also be described in this course.
and tools essential for system and object-oriented design patterns. MTT 200 - Calculus II PHY 201 - Physics & Engineering This course gives the students a full
network administrators including How design patterns solve design Credit Hours: 3 The course will demonstrate the Applications II idea about the basic definitions of
tasks for the planning, design and problems? How to select a design Prerequisite: MTT 102 usefulness of ordinary differential Credit Hours: 3 chemistry, chemical interactions and
installation, of workstations, servers pattern? How to use a design equations (O.D.E.) for modeling laws, and characteristics of mater.
and data centers and developing pattern? Detailed study of creational This course is a continuation physical and other phenomena. Prerequisite: PHY 102 Also, it reviews important algebraic
disaster recovery plans, name spaces patterns, structural patterns, and of Calculus I. The course will The topics covered are first and The course is intended to provide concepts and introduces the use of
polices, customer care process and behavioral patterns in included. concentrate on integral calculus. higher orders O.D.E, Laplace engineering and computer these concepts in chemistry.
troubleshooting of networks. SWE 371 - Software A recurring theme throughout the transform, applications of Laplace science students with sufficient CHE 201L - General Chemistry I
semester will be the relationship
ITE 442 - Data Science and Big Requirements and Specification between an approximation and transform to initial value problems understanding and knowledge of Lab
of O.D.E, systems of O.D.E and some
physics concepts in Electricity and
Data Analytics Credit Hours: 3 the exact value. The topics covered engineering applications. Through Magnetism that can be relevant to Credit Hour: 1
Credit Hours: 3 Prerequisite: CSC 202 are; The Fundamental Theorems of the process of working through their field of study. The course is Prerequisite: ENG 200
Prerequisite: SWE 201 or CSC 201, The course describes the Calculus, Techniques of Integration, application problems, the student divided into two parts; Electricity and Co-requisite: CHE205
Numerical Integration, Improper
STT 201 requirements development including Integrals, Area, Volumes, Arc will develop the ability to interpret Magnetism. The topics covered are; This course introduces the principles
and evaluate real world application
This course provides practical the business requirements, functional Length, and Average Values, problems from a text form into a electric field, Gauss’s law, electric and concepts of chemistry with the
potential, capacitance and dielectrics,
foundation level training that and non-functional requirements, Infinite Sequences and Series, and mathematical equation. current and resistance, direct current emphasis on laboratory skills and
enable immediate and effective and data requirements. The course Applications in the field of science circuits, magnetic fields, sources practical hands-on experiences for
participation in big data and other also covers the study of methods, and engineering. of magnetic field, Faraday’s law, the students. This course will have
analytics projects. It includes an tools, notations, verification, and
Abu Dhabi University | Undergraduate Catalog 2023 - 2024 Abu Dhabi University | Undergraduate Catalog 2023 - 2024