Electrical & Computer Engineering (ECE)

ECE 814 - Introduction to Digital Signal Processing

Credits: 4

Introduction to digital signal processing theory and practice, including coverage of discrete time signals and systems, frequency domain transforms and practical spectral analysis, digital filter terminology and design, and sampling and reconstruction of continuous time signals. Laboratory component providing an introduction to DSP design tools and algorithm implementation. Lab.

Grade Mode: Letter Grading

ECE 815 - Introduction to VLSI

Credits: 4

Principles of VLSI (Very Large Scale Integration) systems at the physical level. CMOS circuit and logic design, CAD tools, CMOS system case studies. Students exercise the whole development cycle of a VLSI chip: design and layout with the up-to-date commercial EDA tools. An IA (continuous grading) grade is given at the end of semester I.

Grade Mode: Letter Grading

ECE 817 - Introduction to Digital Image Processing

Credits: 4

Digital image representation; elements of digital processing systems; multidimensional sampling and quantization; image perception by humans, image transformations including the Fourier, the Walsh, and the Hough Transforms; image enhancement techniques including image smoothing, sharpening, histogram equalization, and pseudo color processing; image restoration fundamentals; image compression techniques, image segmentation and use of descriptors for image representation and classification. Lab.

Grade Mode: Letter Grading

ECE #824 - Ubiquitous Computing Fundamentals

Credits: 4

Ubiquitous computing, or ubicomp, explores embedded, interconnected computing devices that are part of everyday objects and activities. This course takes an interdisciplinary look at the foundations of ubiquitous computing. Topics include software and hardware for ubicomp, human-computer interaction in ubicomp, and issues related to privacy and security in ubicomp. Students undertake a research project inspired by the material.

Grade Mode: Letter Grading

ECE 857 - Fundamentals of Communication Systems

Credits: 4

Spectra of deterministic and random signals, baseband and bandpass digital and analog signaling techniques, transmitter and receiver architectures, performing analysis of digital and analog signaling in additive noise channels, carrier and symbol timing synchronization methods. Lab.

Grade Mode: Letter Grading

ECE 872 - Control Systems

Credits: 4

Development of advanced control system design concepts such as Nyquist analysis, lead-lag compensation; state feedback; parameter sensitivity; controllability; observability; introduction to non-linear and modern control. Includes interactive computer-aided design and real-time digital control. (Also offered as ME 872.) Lab.

Equivalent(s): ME 872

Grade Mode: Letter Grading

ECE 875 - Applications of Integrated Circuits

Credits: 4

Design and construction of linear and nonlinear electronic circuits using existing integrated circuits. Limitations and use of operational amplifiers. Laboratory course in practical applications of non-digital integrated circuit devices. Lab.

Grade Mode: Letter Grading

ECE 884 - Biomedical Instrumentation

Credits: 4

Principles of physiological and biological instrumentation design including transducers, signal conditioning, recording equipment, and patient safety. Laboratory includes the design and use of instrumentation for monitoring of electrocardiogram, electromyogram, electroencephalogram, pulse, and temperature. Current research topics, such as biotelemetry, ultrasonic diagnosis, and computer applications. Lab.

Grade Mode: Letter Grading

ECE 896 - Special Topics in Electrical or Computer Engineering

Credits: 1-4

New or specialized courses and/or independent study. Some sections may use credit/fail grading.

Grade Mode: Letter Grading

ECE 899 - Master's Thesis

Credits: 1-6

Master's Thesis.

Repeat Rule: May be repeated for a maximum of 6 credits.

Grade Mode: Graduate Credit/Fail grading

ECE 900 - Research and Development From Concept to Communication

Credits: 4

The course will introduce students to the general tools of scientific research and technical communication, including topics on: 1. how to conduct research (and development), and general tools for formulating research questions and hypotheses; 2. how to effectively communicate in writing and in oral presentations, both for proposals and for reports on completed technical work.

Grade Mode: Letter Grading

ECE 910 - Graduate Seminar

Credits: 1

Graduate seminars presented by UNH faculty, graduate students and external speakers. Topics include new research ideas and results in areas relevant to electrical and computer engineering.

Grade Mode: Graduate Credit/Fail grading

ECE 915 - Advanced Active Circuits

Credits: 3

Investigation of devices and techniques used in advanced circuit design using discrete solid-state devices and integrated circuits. Oscillators, phase-lock systems, low noise techniques, etc.

Grade Mode: Letter Grading

ECE 920 - Wireless Communication Systems

Credits: 3

Principles of wireless communication systems including analysis of radio wave propagation and modeling, large scale and small scale signal fading, cellular communication architectures, multi-access systems, advanced modulation techniques, signal diversity systems, multiple antenna communications, cognitive radio, and software defined radio.

Grade Mode: Letter Grading

ECE 924 - Ubiquitous Computing

Credits: 3

Ubiquitous computing, or ubicomp, explores embedded, interconnected computing devices that are part of everyday objects and activities. This course takes an interdisciplinary look at the ubiquitous computing through the review of recent research literature. Topics include the visions of ubicomp and some of its applications, software and hardware for ubicomp, human-computer interaction, context awareness, privacy, and security. Students undertake a ubicomp research project inspired by the literature review.

Grade Mode: Letter Grading

ECE 925 - Biosensors: Fundamentals and Applications

Credits: 3

An in-depth and quantitative view of device design and performance analysis. An overview of the current state of the art to enable continuation into advanced biosensor work and design. Topics emphasize biomedical, bioprocessing, environmental, food safety, and bio-security applications. College level general chemistry, calculus, differential equations, and linear algebra required prior to taking this course.

Grade Mode: Letter Grading

ECE 941 - Digital Signal Processing

Credits: 3

Discrete-time stochastic signals, signal modeling, parameter estimation, optimal filtering and decision making, with application to adaptive filters, echo cancellation, channel equalization and parametric spectral estimation. Requires prior coursework in discrete-time LTI systems, analysis and design of recursive and non-recursive linear digital filters, and Fournier based spectral estimation.

Grade Mode: Letter Grading

ECE 951 - Advanced Control Systems I

Credits: 3

State-space representation of multivariable systems, analysis using state transition matrix. Controllability and observability, pole placement using state and output feedback, Luenberger observers. Introduction to computer-controlled systems (sampling, discrete state representation, hybrid systems), nonlinear analysis (Liapunov, Popov, describing function). (Also offered as ME 951.)

Equivalent(s): ME 951

Grade Mode: Letter Grading

ECE 952 - Advanced Control Systems II

Credits: 3

Special topics in control theory: continuous and discrete systems; optimal control systems, including calculus of variations, maximum principle, dynamic programming, Weiner and Kalman filtering techniques, stochastic systems, and adaptive control systems.

Equivalent(s): ME 952

Grade Mode: Letter Grading

ECE 960 - Computer Architecture

Credits: 3

Advanced topics in computer organization. Parallel and pipeline processing, associative and stack computers, microprogramming, virtual memory, current topics.

Grade Mode: Letter Grading

ECE #965 - Introduction to Pattern Recognition

Credits: 3

Machine classification of data, feature space representation, multispectral feature extraction, Bayes decision theory, linear discrimination functions, parameter estimation, supervised and unsupervised learning, clustering, scene analysis, associative memory techniques, and syntactic methods of recognition.

Grade Mode: Letter Grading

ECE 966 - Robust Integrated Circuit Design and Verification

Credits: 3

This course covers the typical hardware failure causes, error control coding theories and their application in integrated circuit designs, fault tolerance techniques, hardware Trojan detection methods, and the principles of secure chip design. Knowledge of Digital Circuits and Computer Organization required.

Grade Mode: Letter Grading

ECE 992 - Advanced Topics in Electrical Engineering

Credits: 1-4

Special course covering advanced topics in electrical and computer engineering. Refer to section description for details about the covered topics. Course may be repeated, but not in duplicate subjects.

Grade Mode: Letter Grading

ECE 993 - Advanced Topics in Computer Engineering

Credits: 1-4

Example of recent topic: wireless communication networks. May be repeated.

Grade Mode: Letter Grading

ECE 994 - Advanced Topics in Systems Engineering

Credits: 1-4

Examples of recent topics: neural networks, advanced digital telecommunications. May be repeated.

Grade Mode: Letter Grading

ECE 998 - Independent Study

Credits: 1-3

Independent theoretical and/or experimental investigation of an electrical engineering problem under the guidance of a faculty member.

Grade Mode: Letter Grading

ECE 999 - Doctoral Research

Credits: 0

Doctoral Research.

Grade Mode: Graduate Credit/Fail grading

Special Fee: Yes