Page 492 - Undergraduate Catalog 2024-25
P. 492

492


        monitoring of networks.  Students will   problems, called design patterns.   Bachelor of
        be made aware of the key factors that   Reapplying design pattern solutions
        have impacts on system and network   to new applications reduces the   Science in
        administration.  The course will   development cost and lends itself
        introduce the concepts, techniques   to extensibility. This course is about   Industrial
        and tools essential for system and   object-oriented design patterns.
        network administrators including   How design patterns solve design   Engineering
        tasks for the planning, design and   problems? How to select a design
        installation, of workstations, servers   pattern? How to use a design
        and data centers and developing   pattern? Detailed study of creational
        disaster recovery plans, name spaces   patterns, structural patterns, and   Degree Requirements
        polices, customer care process and   behavioral patterns in included.
        troubleshooting of networks.
                                      SWE 371 - Software
        ITE 442 - Data Science and Big   Requirements and Specification   MTT 200 - Calculus II
        Data Analytics                Credit Hours: 3                Credit Hours: 3
        Credit Hours: 3               Prerequisite: CSC 202          Prerequisite: MTT 102
        Prerequisite: SWE 201 or CSC 201,
        STT 201                       The course describes the       This course is a continuation
                                      requirements development including   of Calculus I. The course will
        This course provides practical   the business requirements, functional   concentrate on integral calculus.
        foundation level training that   and non-functional requirements,   A recurring theme throughout the
        enable immediate and effective   and data requirements. The course   semester will be the relationship
        participation in big data and other   also covers the study of methods,   between an approximation and
        analytics projects. It includes an   tools, notations, verification, and   the exact value. The topics covered
        introduction to big data and the   validation to techniques for the   are; The Fundamental Theorems of
        Data Analytics Lifecycle to address   analysis and specification of software   Calculus, Techniques of Integration,
        business challenges that leverage   requirements.            Numerical Integration, Improper
        big data. The course provides                                Integrals, Area, Volumes, Arc
        grounding in basic and advanced   SWE 471 - Software Design and   Length, and Average Values,
        analytic methods and an introduction   Architecture          Infinite Sequences and Series, and
        to big data analytics technology and   Credit Hours: 3       Applications in the field of science
        tools, including MapReduce and   Prerequisite: CSC 401       and engineering.
        Hadoop. Labs offer opportunities for
        students to understand how these   This course presents concepts and   MTT 201 - Calculus III
        methods and tools may be applied to   methods for the design of software   Credit Hours: 3
        real-world business challenges as a   systems. Fundamental design   Prerequisite: MTT 200
        practicing data scientist. The course   concepts using notation of Unified
        takes an “Open”, or technology-  Modeling Language (UML). Designing   This course is a continuation of
        neutral approach, and includes a final   for qualities such as performance,   the study of calculus. The course
        lab in which students address a big   security, reusability, reliability.   provides an introduction to the
        data analytics challenge by applying   Metrics and measurement.  Survey of   design, analysis. The topics covered
        the concepts taught in the course   software design methods; Object-  are: introduction to vectors, vector
        in the context of the Data Analytics   oriented analysis and modeling;   calculus, partial derivatives, and
        Lifecycle. The course prepares the   Software architecture design.  multiple integrals.
        student for the Proven™ Professional
        Data Scientist Associate (EMCDSA)                            MTT 204 - Introduction to Linear
        certification exam.                                          Algebra
                                                                     Credit Hours: 3
        SWE 370 - Object Oriented
        Design Patterns                                              Prerequisite: MTT 200
        Credit Hours: 3                                              This course is an introduction to
        Prerequisite: CSC 202                                        Linear Algebra and some of its
                                                                     applications. The aim is to teach the
        Software can be built utilizing                              fundamentals of linear algebra in a
        proven solutions to common                                   way that illustrates their relevance


        Abu Dhabi University | Undergraduate Catalog 2024 - 2025
   487   488   489   490   491   492   493   494   495   496   497