Courses
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-211 ENGR-212 ENGR-200
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
ENGR 314 DIRECTED RESEARCH IN ENGR 3.0 Credit(s)
Research under supervision of an engineering faculty member on a recent technological advancement including literature search, testing, and prototyping (if applicable). Prerequisite: Take ENGR-200 ENGR-211 ENGR-212;
Offered: All Semesters All Years
CSE 300 STATISTICS & PROBABILITY 3.0 Credit(s)
This is an introduction to Statistics and Probability for Computer Science and Engineering. In this course, you will learn all the theories, concepts and applications of Statistics and Probability; from organizing and presenting data, sampling, testing hypotheses, confidence intervals and regression to probability theories, random variables and distributions. Prerequisite: Take MA-151
Offered: Fall & Spring Semesters All Years
CMD 335 CULTURAL & STRUCTURAL LINGUISTICS 3.0 Credit(s)
This course provides an overview of Linguistics from a structural and cultural perspective. Students will explore connections between languaage, culture and identity.
Offered: Fall Semester All Years
EX 366 CLINICAL ROTATION 3.0 Credit(s)
This course provides the Exercise Science student with clinical experience in either an on-campus or off-campus location. Specifically, students will be able to appreciate and participate in a variety of clinical skills related to the fitness assessment, programming and training of clients with a diverse background. This course can only be taken in the final two semesters prior to graduation. Prerequisite: EX 250 and EX 260 Prerequisite: Take EX-250 with lab and EX-260 with lab
Offered: Fall & Spring Semesters All Years
HS 308 FUNDAMENTALS OF NUTRITION 3.0 Credit(s)
This course presents the fundamental scientific principles of human nutrition. Students will learn the components of a healthy diet, understand the major nutrition problems that affect individuals and populations throughout the life cycle, and understand the scientific basis for nutritional recommendations for health and to prevent disease.
Offered: All Semesters All Years