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networks. The course examines in Frequency domain analysis devices and how they can be used to of single/multi-stage amplifiers. CEN 399i - Internship in CEN 464 - Digital Signal
detail analog and digital signaling, and Fourier transform, Laplace design circuits that provide important Power amplifiers: class A and B. Computer Engineering I Processing
analog and digital conversions, transform, Z-Transform, and Discrete electronic functions. Feedback topologies and stability.
network protocols & topologies, Fourier transform. Students will Wave shaping: Multi-vibrators (Mono- Credit Hours: 2 Credit Hours: 3
and error detection & correction. It be introduced with basic concepts CEN 333 - Cross-platform Mobile stable, quasi-stable, and Bi-stable) Prerequisite: 90 Credit Hours Prerequisite: CEN 320
also discusses well known standards of difference between continuous Application Development and oscillators. CEN 399ii - Internship in This course is concerned with signals
such as Ethernet, DSL, Frame Relay, and discrete time systems, signals Credit Hours: 3 Computer Engineering II and systems, specifically, processing
ATM, and TCP/IP. Topics on wireless and systems, transformations, and CEN 325 - Internet of Things: of digital and/or discrete time signals
communications will be covered as properties of such systems. The Prerequisite: CSC 201 Foundations and Design Credit Hour: 1 using linear time invariant systems,
well. concept of linear time invariance This course teaches students Credit Hours: 3 Prerequisite: CEN 399i hence digital signal processing - DSP.
(LTI) system and convolution will
CEN 330 - Probability and be discussed before moving to the cross-platform mobile application Prerequisite: CSC 201 + CSC 303 This course focuses on getting the The design and the implementation
Stochastic Processes Fourier Series analysis of periodic development with a focus on This course will introduce 8-bit student practically involved in the of DSP are introduced via a mini-
project to provide hands on
advanced topics including navigation,
Credit Hours: 3 signals. Frequency domain analysis persistence both remote (Firebase microcontrollers, their RISC day-to-day business events in a experience. This course builds
relevant, modern and automated
Prerequisite: MTT 200 + STT 100 will start with the concept, properties, & Google Cloud Storage) and local, architecture, and how they are used organization. The student will follow a upon concepts that students have
and applications of Fourier transform RESTful API integration, localization, to build embedded systems and learned in Calculus, Linear algebra
This course covers probability and then the same will be extended reverse-geocoding, and geofencing Internet of Things applications by well-planned course of action during and Signals and Systems and
theory, discrete and continuous to Laplace, Z, and Discrete Fourier services on Google Maps API, device interfacing sensors and actuators. the period of training. The plan competency of MATLAB. It is the
random variables and their Transform. sensors for orientation, motion, and During this course, students will will be devised jointly by the site- student’s responsibility to come to
distributions, the concept of mean light, hardware control over the cloud develop a basic understanding of supervisor and college-supervisor. class equipped with the knowledge
and variance, functions of one and CEN 304 - Electronic Devices and using the mobile app as an interface, embedded systems and how to The course will be a breakthrough provided in those courses.
two random variables, central limit Circuits and camera integration. It also program them using assembly and in exposing the students to the
theorem, statistics, and random Credit Hours: 3 provides students with an advanced embedded C. They also learn how professional work culture and CSC 408 - Distributed
processes. Emphasis is given to Prerequisite: CEN 201 hands-on experience of recent systems can be controlled and/or conduct of business complexities. Information Systems
applications to signal processing and advancement in AI and Computer monitored by these microcontrollers. CEN 454 - Computer Vision and
communications. This course introduces the Vision powered mobile and Internet Lectures and labs will be used to Machine Learning Credit Hours: 3
fundamentals and essential topics ensure that the concepts of IoT are Prerequisite: CSC 202 + CSC 305
CEN 201 - Electric Circuits I for the study of electronic circuits. computing technologies and their understood. Topics covered include Credit Hours: 3 The study of distributed systems is
applications. Application uses cases
Credit Hours: 3 Topics covered include: diodes, covered include facial detection, instruction cycle, registers, memory, Prerequisite: CEN 320 + BME 320 exciting and interesting! In many
Prerequisite: ECS 200 or PHY 201 Bipolar Junction Transistors (BJTs), visual tracking, segmentation, object IO, ADC, DAC, Timers, interrupts, and This course will introduce concepts respects, distributed systems are at
Field Effect Transistors (FETs), and serial communication. the forefront of a revolution in the
This is the first course in the Operational Amplifiers (Op Amps). detection, text recognition, and of computer vision including image computer science discipline. In this
Computer and Electrical Engineering Firstly, students will be introduced landmark identification. It also gives CSC 308 - Operating Systems representation and enhancement, course we will explore the principles
Program on electric circuits. It to the basics of Semiconductor a brief introduction to mobile game Credit Hours: 3 edge detection, image segmentation, and paradigms that are associated
teaches the fundamentals of materials, mass-action law, formation development. Prerequisite: CSC 301 feature extraction and object with distributed systems. During
electrical circuit theory and its of p-n junctions, and flow of diffusion CEN 324 - Digital and Analog recognition. It is focused on the our exploration of principles, we
application to practical direct and and drift current within the junction. Electronics This course introduces students application of machine learning, will focus on developing a working
alternating current circuits. Whilst The diode concept will be introduced to the concepts and principles of especially deep learning, to images, understanding of the notions and
MTT 102 is the formal pre-requisite subsequently, starting with Credit Hours: 3 operating systems design and to video, or 3D signals. It explores both concepts that are fundamental to all
to this course, general knowledge of mathematical model of diode current Prerequisite: CEN 304 the prevailing techniques for their raw input and feature-space (e.g., distributed systems: communication,
personal computers and operating and then moving towards the diode The course covers the analysis implementation. The course requires shape, appearance, spatial, etc.), coordination, fault-tolerance,
systems will be beneficial. applications (rectification, clipping, and design of digital and analog students have some rudimentary imaging data as input to machine transparency, self organization,
learning for segmentation, object
CEN 320 - Signals and Systems and clamper). The topics of half-wave, circuits. Analog-to-digital and understanding of the performance recognition, object detection, and and synchronization. During our
full-wave rectification, clipping and digital-to-analog conversion circuits. trade-offs inherent in the choice investigation of paradigms, such as
Credit Hours: 3 clamping circuits will be discussed Fundamental concepts in digital of algorithms and data structures. scene understanding. Students message passing, remote object
Prerequisite: MTT 205 + CEN 201 in details. The types of didoes such electronics: VTC curve, Fan-out, The course will cover operating will learn to use Matlab’s Image invocation, distributed shared
as Zener and LEDs will be discussed Propagation delay and static/ systems concepts including process Processing and Computer Vision memory, or group communication,
This course will provide a foundation briefly. The device structure for management, threads, concurrency, toolboxes and Python’s OpenCV
to other courses that deal with the formation of BJT and FET and dynamic power dissipation. NMOS/ memory management, virtual in labs and projects to design we will examine, in great depth,
signals and systems concepts directly their physical operation leading to CMOS inverters, CMOS NOR/NAND memory, I/O device management, image and video processing and specific technologies for building
or indirectly such as communication, their terminal characteristics will be gates. Operational amplifiers. Low, and disk management. Two concrete understanding pipelines. distributed systems. To this end, we
control, instrumentation, etc. covered. The DC and AC analysis of medium, and high frequency models examples of operating systems are will focus on the implementation
The course covers the following different types of BJT and FETs will for transistors. Small-signal analysis used to illustrate how the principles of distributed systems that utilize
topics classification of systems DT be covered. The course will also treat (Hybrid-π model) and design of and techniques are deployed in the Java programming language.
and CT systems, signal modeling the use of equivalent circuit models single-stage MOSFET/BJT circuits. practice. Main topics include: interprocess
and transformation, LTI systems, that describe the operation of these Frequency response characteristics communication, remote invocation,
distributed operating systems,

Abu Dhabi University | Undergraduate Catalog 2023 - 2024 Abu Dhabi University | Undergraduate Catalog 2023 - 2024