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of interest in the field. Additionally, strengths, weaknesses, and areas applications of digital signal
students will analyze the impact of of interest in the field. Additionally, processing. Topics covered include
computer and electrical engineering students will analyze the impact of the z-transform and its application to
on society, the environment, and computer and electrical engineering the analysis of LTI systems, frequency
the economy, providing them with a on society, the environment, and analysis of signals, frequency-
more holistic understanding of their the economy, providing them with a domain analysis of LTI systems,
role as future engineers. more holistic understanding of their the properties and applications of
role as future engineers. discrete fourier transform, the design
CEN 399ii - Internship in of digital filters, and the properties
Computer Engineering II CEN 454 - Computer Vision and and applications of discrete fourier
Credit Hour: 1 Image Processing transform . The course has a project.
Prerequisite: CEN 399i Credit Hours: 3 In this project, students work teams
Prerequisite: CEN464 + CEN464L using MATLAB to design a digital
Internship in Computer Engineering filters and communicate their
II” is designed to expand on the This course builds on the concepts experience using presentations and
knowledge and skills acquired and skills acquired in CEN464 reports.
CEN399i Internship in Computer Digital Signal Processing. It
Engineering I, and in the Computer/ provides students with an in- CEN464L - Signal Processing Lab
Electrical Engineering program. This depth understanding of concepts, Credit Hours: 1
course provides students with an techniques, and applications of Co-Prerequisite: CEN464
opportunity to practically apply their image processing and computer
theoretical concepts in the fields of vision. Topics covered include noise This lab focuses on the practical
computer and electrical engineering estimation, image filtering, image applications of Digital Signal
within a professional industry setting. enhancement, image reconstruction, Processing concepts, techniques, and
The topics covered are dictated by morphological operations, image designs. Lab equipment includes a
the nature of the organization and segmentation, Convolutional PC and Matlab software. Students
the specific work assigned to the Neural Networks (CNN), and connect theoretical concepts learned
students. This hands-on experience object tracking. Students connect in the course to practice using hands-
can encompass various aspects of theoretical concepts learned in the on laboratory experiments covering
computer and electrical engineering course to practice using hands-on signal operations, convolution,
such as hardware design, software laboratory experiences covering Fourier and Laplace transforms,
development, network architecture, Spatial and Frequency Domain Fourier domain representation,
circuit analysis, control systems, and Image Enhancement Pipelines on time domain sampling, aliasing,
power distribution. In the course of Matlab, Background Modeling and pre-filtering, filter design, random
their internship, students will embark Foreground Segmentation using signals, probability, noise modeling
on a well-planned course of action Gaussian Mixture Models and and reduction, power spectral
jointly devised by the site-supervisor the EM Algorithm on Matlab, and analysis, and 1D-3D signal processing
and the college-supervisor. This Face Detection and Tracking using for audio, sensor, image, and video
plan is intended to expose the OpenCV. The course has a project. signals.
students to a broad range of practical In this project, students work teams CEN 425 - Internet of Things:
experiences that reflect the diverse using MATLAB and PyCharm to
nature of computer and electrical design a Particle Filter-Based Object Applications & Networking
engineering fields. A significant part Tracking in Video Sequences and Credit Hours: 3
of this course is the internship report communicate their experience using Prerequisite: CEN 325
and presentation that students are presentations and reports.
required to prepare. In this report This course builds on the concepts
and presentation, students will detail CEN 464 - Digital Signal and skills acquired in CEN325
their experiences, learning outcomes, Processing Internet of Things: Applications and
challenges faced, and solutions Credit Hours: 3 Networking. It provides students
devised. They will communicate Prerequisite: CEN 320 with an in-depth understanding
their findings and reflections in a of concepts, techniques, and
comprehensive report and present This course builds on the concepts applications of internet of
their experiences in presentations. and skills acquired in CEN320 Signals things. Topics covered include
This enhances their communication and Systems. It provides students microcontroller communication,RPi
and analytical skills and helps them with an in-depth understanding setup and IoT implementation,
introspect and understand their of concepts, techniques, and python basics, python lists and

Abu Dhabi University | Undergraduate Catalog 2024 - 2025