Page 448 - Undergraduate Catalog 2024-25

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Generative Modeling Fundamentals, Learning. It introduces students Bachelor of
Image Generation with GANs, and to concepts, techniques, and
Text Generation with Autoregressive applications of Machine Learning Science in
Models. The course has a project. (ML), Deep Learning, and Internet of
In this project, students work teams Things (IoT). Topics covered include Electrical
using MATLAB and PyCharm to Machine Learning, Deep Neural
design a Synthetic Data Generator Networks, IoT, Microcontrollers, Engineering
and communicate their experience Embedded Systems, TinyML.
using presentations and reports. Students connect theoretical
concepts learned in the course to
practice using hands-on laboratory Degree Requirements
AI Concentration experiences covering TinyML Models
Elective Courses Training and Testing, Deployment of
TinyML Models to Microcontrollers, ECS100 - Introduction to
and Wake-Word Detection Engineering and Computing
AIRE 475 - Self-Driving Cars Application. The course has a project.
In this project, students work teams Credit Hours: 3
Credit Hours: 3 using Arduino IDE , TensorFlow Lite, Prerequisite: No Prerequisite
Prerequisite: CEN325 + AIRE310 PyCharm, Arduino Nano 33 BLE
Sense, Sensors, and Actuators to This course provides an introductory
This course builds on the concepts design a TinyML-based Model and general overview of electrical
and skills acquired in CEN325, Deployment and communicate their engineering, biomedical engineering,
Internet of Things: Foundations experience using presentations and computer engineering, and AI
and Design, and AIRE310, Machine reports. and robotics engineering fields,
Learning. It provides students with an introducing students to concepts,
in-depth understanding of concepts, techniques, and applications
techniques, and applications of of Electrical, Computer, and
Self-Driving Vehicles. Topics covered Biomedical Engineering. Topics
include Deep learning, Computer covered include an Introduction to
Vision, Behavior Cloning, Lane Assist, Engineering, Roles, and Workplace
PID Control, and Internet of Things of Engineers, Ethical Practices in
(IoT). Students connect theoretical Engineering, Design Process, Basic
concepts learned in the course to Circuit Concepts, Numeric Systems,
practice using hands-on laboratory and Teamwork. Students connect
experiences covering Lane Finding, theoretical concepts learned in the
Behavior Cloning on data collected course to practice using hands-on
using Unity Simulator, Autonomous laboratory experiences covering
indoor flight mission programming. Ohm’s law, electronic simulations,
The course has a project. In this programming, and debugging. The
project, students work teams course has a project where students
using PyCharm, MATLAB, Arduino, work in teams using Tinkercad,
Raspberry Pi, Actuators, and Sensors EasyEDA, ICs, PCBs, and testing and
to design a Self-driving Robot with measuring equipment to design
Lane Assist and PID Control System an electrocution protection system
and communicate their experience and communicate their experience
using presentations and reports. using presentations and reports.
Students will also analyze the
AIRE 325 - Ultra-low Power AI impact of Electrical, Computer, and
on Microcontrollers Biomedical Engineering on society,
the environment, and the economy.
Credit Hours: 3
Prerequisite: CEN325 + AIRE310
This course builds on the concepts
and skills acquired in CEN325,
Internet of Things: Foundations
and Design, and AIRE310, Machine

Abu Dhabi University | Undergraduate Catalog 2024 - 2025