Curriculum Requirements
Master of Science in Electrical and Computer Engineering
Major Requirements
| Required Courses | Credits: | |
| EENG 635 | Probability and Stochastic Processes | 3 |
|
Elements of probability theory. Random variables, distributions, densities, moments, characteristic functions, functions of random variables and limit theorems. Correlation, spectral density, ergodicity and applications in linear systems. Normal, Poisson and Wiener processes, mean square estimation and Markov processes. Application to electrical engineering noise analysis. Equivalent to CSCI 635. Classroom Hours - Laboratory and/or Studio Hours – Course Credits: 3-0-3 |
||
| EENG 641 | Computer Architecture I | 3 |
|
This course explores modem architectural design patterns and exposes the students to latest technologies used to build computing systems. Concepts presented in this course include but are not limited to pipelining, multicore processors, superscalar processors with in-order and out-of order execution, virtual machines, memory hierarchy, virtual memory, interconnection networking, storage and I/0 architectures, computer clustering and cloud computing. Students are introduced to performance evaluation techniques and learn how to use the results of such techniques in the design of computing systems. Equivalent to CSCI 641. Classroom Hours - Laboratory and/or Studio Hours – Course Credits: 3-0-3 |
||
| EENG 665 | Linear Systems | 3 |
|
This course will cover fundamental concepts in linear system theory such as matrix algebra, linear vector space, linear operator. Linearity, causality, and time invariance will be discussed. Input output and state space models will be presented. The concepts of controllability, observability, and stability of linear systems will be studied. Classroom Hours - Laboratory and/or Studio Hours – Course Credits: 3-0-3 |
||
| EENG 770 | Digital Communications | 3 |
|
Prerequisite: Prerequisite: EENG 635 Design techniques for modern communication systems. Digital signal representation, sampling, quantization, noise representation, modulation methods and multiplexing. System performance in the presence of noise with emphasis on design. Classroom Hours - Laboratory and/or Studio Hours – Course Credits: 3-0-3 |
||
| Total: 12 Credits | ||
| Thesis Track | Credits: | |
| EENG 889 | MS Thesis I1 | 3 |
| Please view all course descriptions: http://www.nyit.edu/courses | ||
| EENG 891 | MS Thesis II1 | 3 |
|
Prerequisite: Prerequisite: EENG 890 This is the second of a two-course sequence for master's thesis. Students will continue the research and experimentation started in the first course in the sequence. The course culminates in an oral defense of the thesis project in front of a thesis committee consisting of the student's thesis faculty advisor and other members. By the end of the semester, students will complete a publication-quality master's thesis to be archived in the NYIT library. Classroom Hours - Laboratory and/or Studio Hours – Course Credits: 3-0-3 |
||
| Total: 6 Credits | ||
| [1] Non-Thesis Track students do not take these courses. | ||
| Electrical/Computer Electives2 | Credits: | |
| EENG/CSCI/INCS XXX | Any graduate course within the College of Engineering and Computing Sciences approved by the chair/advisor3 | 12–18 |
| Please view all course descriptions: http://www.nyit.edu/courses | ||
| Total: 12–18 Credits | ||
|
[2] Thesis Track take 12 credits. Non-Thesis Track take 18 credits. [3] No more than six credits can be taken from CSCI and INCS courses. |
||
| Total Required Credits = 30 |