Courses

ENGR 349 ELECTROMAGNET THEORY WITH LAB   4.0 Credit(s)
Electromagnetic field theory, vectors, static, quasi-static and time-harmonic fields, transmission lines, Maxwell's equations in integral and differential forms, force, energy and power, and plane waves. Prerequisite: Take MA-152
Offered: Fall Semester All Years

ENGR 350 SENSORS & ROBOTICS WITH LAB   4.0 Credit(s)
Fundamentals of programmable logic controllers and microcontrollers for motor control, motion planning, forward and inverse kinematics, trajectory, vision, and data acquisition using various sensors. Prerequisite: Take ENGR-200
Offered: Fall Semester All Years

ENGR 351 PCB DESIGN WITH LAB   4.0 Credit(s)
PCB design process from high level design to final output and manufacture of printed circuit boards, packaging and interconnecting structures, electrical and mechanical design parameters. Prerequisite: Take ENGR-211
Offered: All Semesters All Years

ENGR 352 COMMUNICATION SYSTEMS WITH LAB   4.0 Credit(s)
Amplitude/angle modulation, probability theory and random processes, pulse code/delta modulation, baseband digital transmission, digital band-pass transmission techniques, wireless channel modeling, cellular systems, and performance analysis. Prerequisite: Take MA-254 ENGR-349
Offered: Spring Semester All Years

ENGR 354 ANALOG CIRC DESIGN WITH LAB   4.0 Credit(s)
Analysis and design of analog circuits using integrated bipolar and field effect transistor technologies, DC coupling, testing, and design of computer-aided analog ICs. Prerequisite: Take MA-152 ENGR-315
Offered: Fall Semester All Years

ENGR 411 ADV IMAGE PROCESS WITH LAB   4.0 Credit(s)
Introduction to theories, algorithms, and practical solutions of digital image/video perception, acquisition, color representation, enhancement, filtering, multi-spectral processing, restoration, segmentation, and compression. Prerequisite: Take ENGR-313
Offered: All Semesters All Years

ENGR 419 COOPERATIVE STUDIES IN ENGINEERING   6.0 Credit(s)
Full-time career related work experience in industry during one full semester. Students will work with their on-site employer. Prerequisite: Take ENGR-200 and MA-152
Offered: All Semesters All Years

ENGR 353 VLSI DESIGN WITH LAB   4.0 Credit(s)
CMOS design and circuits, MOSFET transistor theory, VLSI chip design, circuit simulation and performance estimation, clocking, power consumption, data path subsystems, and finite state machines. Prerequisite: Take ENGR-211
Offered: All Semesters All Years

CM 356 ADVERTISING & PR CAMPAIGNS   3.0 Credit(s)
Students research, plan, implement, and evaluate integrated public relations and advertising campaigns. Students gain hands-on experience by working with community clients. Prerequisite: Take CM-101, CM-227
Offered: All Semesters All Years

CS 481 INTRODUCTION TO ARTIFICIAL INTELLIGENCE   3.0 Credit(s)
Applied fundamentals of artificial intelligence, with a particular focus on data analytics, and cloud computing basics. Making virtual artifacts for systems to learn, plan and solve problems to complete the data-information-knowledge-wisdom pyramid. This course has a hands-on component focused on driving modern intelligent agents on real-world applications for contemporary problems, such as deep learning, data flows, and autonomous driving. Prerequisite: Take CS-112, MA-331 or MA-332 or CSE-300
Offered: Fall Semester All Years

CS 482 APPLIED MACHINE LEARNING   3.0 Credit(s)
This course provides a theoretical and a practical understanding of machine learning techniques. It offers the concepts, the intuitions, and the tools the students need to actually implement programs capable of learning from data. A large number of techniques is covered, from the simplest and most commonly used such as linear regression to some of the Deep Learning techniques. The course materials are supported with hands-on sessions using contemporary machine learning tools. Prerequisite: Take CS-112, MA-331 or MA-332 or CSE-300
Offered: Spring Semester All Years

FN 415 PORTFOLIO MANAGEMENT   3.0 Credit(s)
This course is designed to provide a sound foundation for the theory and practice of modern portfolio management. Topics include portfolio analysis, capital asset pricing theory, performance measurement, efficient market hypothesis, standard mean-variance theory, and dynamic asset allocation. The goal of this course is to acquaint students with the perspectives and techniques used to solve practical asset allocation problems of institutional investors such as pension funds, mutual funds, hedge funds, and sovereign wealth funds. Prerequisite: Take FN-315
Offered: Fall & Spring Semesters All Years

EC 304 MONEY & FINANCIAL INSTITUITONS   3.0 Credit(s)
This course overviews the global financial markets and institutions. It examines the regulatory framework and asset/liability management at commercial banks and other financial institutions. It analyzes the significance of money, credit, and interest rates as well as the impact of monetary policy on the economy. Students learn about assessment and management of various types of risks faced by global financial institutions. Prerequisite: Take EC-203
Offered: Fall & Spring Semesters All Years

CMD 360 RESEARCH IN CMD   3.0 Credit(s)
This course will provide students with a supervised research experience in speech, language, hearing or swallowing. Prerequisite: Take CMD-200, CMD-201, MA-131
Offered: Fall Semester All Years

MK 339 DIGITAL MARKETING ANALYTICS   3.0 Credit(s)
This course emphasizes the analytical nature of data and information that is required in modern-day marketing for better decision-making. Understanding both the theoretical and the practical nature of digital marketing, along with developing the skillset necessary for success in the industry, are the primary goals of this course. Prerequisite: Take MK-232 or MK-334
Offered: Fall & Spring Semesters All Years