Page 500 - Undergraduate Catalog 2024-25
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        microeconomics theory and     Bachelor of                   its subfields, and major application
        applications. The course is designed                        areas. Students will learn the different
        to introduce undergraduate students   Science in            types of data, data sources and data
        to the fundamental concepts                                 uses, and technologies for Big Data.
        and theories of microeconomics   Software                   Then, we move through the various
        with the primary focus being                                types of analytics starting with basic
        the application of principles and   Engineering             univariate descriptive analytics and
        practices of microeconomics to                              moving through multivariate until
        business, finance and managerial                            we reach predictive, model-based
        economics. The first part of the                            analytics. The course is designed
        course will involve discussing the                          in a way that balances between
        problem of scarcity, demand, supply,   Degree Requirements   theory and practice. Throughout
        equilibrium prices, and the use of                          the course, the students will follow
        prices as guide for production and                          the data-driven approach to solving
        consumption. Concepts including;                            real-life problems through a series
        marginal analysis, opportunity cost,   SWE 201 - Structured   of practical labs and class activities.
        production possibilities frontier and   Programming         They will learn how to explain and
        elasticity. In the second part of the   Credit Hours: 3      identify the elements of introductory
        course, the discussion will center on   Prerequisite: MTT101 or higher  to intermediate data-driven systems
        consumer choice; the behavioral and   The main objective of this course is to   using Microsoft Power BI. The
        firm’s production decisions and on                          course concludes by introducing the
        the short-run and long-run costs and   provide students with the logic and   students to a variety of special data
                                      tools required to develop structured
        output decisions. The theory of firm   software programs in Java.  Java is a   analytics applications in engineering,
        in perfect competition, monopolistic   challenging programming language   health, business, and the web
        competition, monopoly, and oligopoly   that is based on the object-oriented   emphasizing social, security, and
        markets are fully examined in the                           economic dimensions.
        third part. In each of these market   programming methodology. However,
                                      this course focuses on structured
        models, equilibrium price, output and   programming as the main learning   CSC 202 - Computer
        profits are reviewed.                                       Programming II
                                      objective.  It also serves as a
        Throughout the course, particular   preliminary foundation for learning   Credit Hours: 3
        emphasis is placed on the use of   the object-oriented programming   Prerequisite: SWE 201 or CSC 201
        microeconomic analysis to explain   methodology.            Object-oriented programming offers
        contemporary economic issues   The material for this course includes:   greater reliability, maintainability
        and subjects influencing individual,   Introduction to Computers and Java   and reusability than structured
        business and government decisions.
                                      Programming, Control Structures   programming. This course follows
                                      (loops and conditions), Functions,   on from Structured Programming
                                      Arrays, and Strings and the notion of   and introduces the concepts of
                                      algorithms for solving problems.  Object-Oriented Programming. It
                                                                    develops the basic skills necessary
                                      COE 102- Introductory Big Data   to develop software application
                                      Analytics                     programs in Java using objected
                                                                    oriented principles and concepts.
                                      Credit Hours: 3
                                                                    The course presents the main
                                      Prerequisite: STT100          principles of Objected Oriented
                                                                    Programming: data abstraction,
                                      This course provides a general   objects and classes, inheritance,
                                      introduction to Data Analytics.   and polymorphism. Students should
                                      It provides an essential guide to   have a core foundation of structured
                                      understanding and using data   programming principles in order to
                                      analytics in real-life applications   progress smoothly and effectively in
                                      without the need for any previous   this course.
                                      familiarity with programming. The
                                      course starts by introducing the main
                                      concepts of Data Analytics to provide
                                      a solid understanding of the field,


        Abu Dhabi University | Undergraduate Catalog 2024 - 2025
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