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 ITE 390 - Computer Ethics  Then, students will be introduced   PHY 102 - Physics and   PHY 201L - Physics and   STT 201 Intermediate Statistics   CEN 425 - Internet of Things:
 Credit Hours: 3  to the concepts of Transcendental   Engineering Applications I   Engineering Applications II Lab  and Research Methods  Applications and Networking
 Functions, Integration Technique,
 Prerequisite: CSC 202  infinite Series and power Series.   Credit Hours: 3  Credit Hours: 3  Credit Hours: 3  Credit Hours: 3
 A study of the ethical and social   Through the process of working   Prerequisite: MTT 102  Prerequisite: PHY 102 + PHY 201   Prerequisite: STT 100  Prerequisite: CEN 325 + (CEN 333 or
        (co-req)
                                                                     ITE 421) + (CSC 305 as co-req)
 issues related to computers and   through application problems, the   The course aim is to provide   The science of data analysis
 computer networks, big data,   student will develop the ability to   engineering and computer science   This course is designed to help   is commonly called Statistics.    This course builds upon the concepts
 computer algorithms and Artificial   interpret and evaluate real world   students with clear understanding   students develop the ability to   Statistics and statistical analyses are   and skills developed in CEN325
 intelligence. This course examines   application problems from text form   of the basic concepts of physics.   perform scientific experiments and   fundamental tools for managerial   and CEN333. It enforces covered
 the ethical issues arising from   into a mathematical equation.  The course is divided into two parts:   to enhance their understanding of   decision-making.   Statistical   concepts and introduces new ones
 advances in Information Technology   Mechanics, and Waves.  The topics   theoretical material presented in   analysis provides many ways to   for distributed embedded systems
 and the responsibility that IT   MTT 202 - Discrete Structures   covered are; Units, Vectors and   Phy201 (Electricity and Magnetism)   deal with uncertainties and, hence,   design. The course uses 8-bit
 professionals and users have in   and Applications  Scalars, vectors product, motion in   by performing landmark experiments   is useful both for descriptive and   microcontrollers and Linux-based
 regard to ethical computer usage.   Credit Hours: 3  one and two dimensions, Newton’s   with emphasis on the presentation   for inferential tasks.  This course   32-bit microprocessors and their
 Topics covered are social impact of   laws of Motion, Circular motion, Work   and interpretation of experimental   presents statistical concepts and their   integration running Linux design
 computing, computer crime, software   Prerequisite: STT 100  and Energy, Conservation of Energy   data.  applications for managerial decision-  scalable applications in the context
 theft, privacy, intellectual property   This course introduces the basic   and Oscillatory Motion.  making.  Computer based statistical   of Internet of Things.  Students
 rights, autonomy, technology at the   foundations of logic, structures,   CHE 205 General Chemistry I   analyses and the application of   are also introduced to state charts
 work place, technology and jobs, and   algorithms, number theory,   PHY 102L - Physics and   Credit Hours: 3  the insights gained through such   (with concurrency and composite
 computer games, big data and AI,   induction, recursion and relations   Engineering Applications I Lab  Prerequisite: (Co) ENG 102/ENG 200  statistical analyses for developing   states) for modeling and design
 as well as new and emerging ethical   with application in computer science   Credit Hours: 3  effective business decisions will be   of IoT applications. The course
 issues related to technology and   and engineering. The course then   Prerequisite: MTT 102 + PHY 102   This course introduces the principles   integrated into every aspect of the   discusses advanced interfacing
 information.  introduces students to graphs and   (co-requisite)  of chemistry including: elements and   course.  Topics addressed include   techniques to many sensors and
 ITE 421 - Native Mobile   trees and their use in modeling and   This course is designed to help   their symbols, the periodic table,   Normal Distribution, sampling   actuators. At the end of the course
        names and formulas of compounds,
                                                                     students will gain theoretic and
                                      distributions, estimation techniques,
 Application Development  analyzing computer science and   students develop the ability to   chemical reactions, balancing   hypothesis testing for one and more   practical experiences that they can
 computer engineering problems.
 Credit Hours: 3  Finally, the course presents the   perform scientific experiments and   chemical equations, stoichiometry,   than one populations, Goodness-of-  immediately utilize to design and
 Prerequisite: CSC 202  basics of Boolean Algebra and Finite   to enhance their understanding   and other major principles of   Fit and Analysis of Variance.  implement real-life IoT projects for
 Automata with applications.  of theoretical concepts presented   organic and in-organic substances.    remote monitoring and control using
 This course provides basic   in Physics I course (PHY102) by   Laws and applications will also be   mobile applications. The course uses
 knowledge and understanding of   MTT 204 - Introduction to Linear   performing landmark experiments   described in this course.  This course   both the Arduino and Raspberry Pi
 mobile applications design and   Algebra   with emphasis on the presentation   gives the students a full idea about   and their integration using PyFirmata.
 implementation. The course also   Credit Hours: 3  and interpretation of experimental   the basic definitions of chemistry,   Major Requirements   Especially emphasis is given to using
 examines the tools by which mobile   data.   chemical interactions and laws,   operating system (Linux) capabilities
 applications are built in different   Prerequisite: MTT 200  and characteristics of mater. Also, it   to expand what can be done
 mobile device environments. The aim   This course is an introduction to   PHY 201 - Physics and   reviews important algebraic concepts   CEN 325 - Internet of Things:   compared to CEN325. For example,
 of this subject is to enable students   Linear Algebra and some of its   Engineering Applications II   and introduces the use of these   Foundation and Design  integrating simple computer vision
 to understand the basic principles   applications. The aim is to teach the   Credit Hours: 3  concepts in chemistry.  Credit Hours: 3  and mobile applications in embedded
 and architectures of native mobile   fundamentals of linear algebra in a   Prerequisite: PHY 102  control.
 application development. The course   way that illustrates their relevance   CHE 201L Chemistry Lab   Prerequisite: (SWE 201 or CSC 201)
 focuses on mobile application   to engineering applications. An   The course is intended to provide   Credit Hours: 3  + CSC 303  CEN 445 - Securing the Internet
 development using Android. In   Introduction to Matrices and Systems   engineering and science students   Prerequisite: CHE 205 (co-req)  This course will introduce   of Things
 addition, the course introduces   of Linear Equations are given with   with sufficient understanding and   microcontrollers and how they are   Credit Hours: 3
 cloud-based servers and cloud   other topics such as: Determinants,   knowledge of physics concepts in   This course introduces the principles   used to build Internet of Things   Prerequisite: CEN 425
 functions using firebase.  Linear Transformations, Eigenvectors   Electricity and Magnetism that can   and concepts of chemistry with the   applications. During this course,
        emphasis on laboratory skills and
 MTT 200 - Calculus II  and Eigenvalues and Diagonalizing   be relevant to their field of study.   practical hands-on experiences for   students will develop a basic   This course introduces the
 The course is divided into two parts:
                                                                     fundamental concepts of IoT security,
                                      understanding of embedded and
 Matrices. Engineering applications of
 Credit Hours: 3  linear algebra are incorporated using   Electricity and Magnetism.  The topics   the students.  This course will have   networked systems and how to   introducing students with practical
 Prerequisite: MTT 102  Math software available.  covered are; electric field, Gauss’s law,   laboratory experiments, simulated   program them using assembly and   solutions that account for resource
 electric potential, capacitance and   experiments, demonstrations and   embedded C. They also learn how   limitations at IoT end-node, hybrid
 This Calculus II course builds upon   dielectrics, current and resistance,   group activities for the students that   simple I/O devices are controlled   network architecture, communication
 Calculus I whose purpose was to   direct current circuits, magnetic   illustrate the principles and concepts   by these microcontrollers and how   protocols, and application
 establish a firm understanding of   fields, sources of magnetic field,   for the course CHE 205.  to connect them to the cloud using   characteristics. The course covers the
 the foundations of calculus and   Faraday’s law and inductance.  Wi-Fi. Lectures and labs will be used   most important potential IoT security
 their applications. It will start with   to ensure that the concepts of IoT are   risks and threats and presents both
 some functions seen in Calculus I.   understood.                    the general theory and practical
 Abu Dhabi University | Undergraduate Catalog 2023 - 2024  Abu Dhabi University | Undergraduate Catalog 2023 - 2024
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