{"id":13,"date":"2025-05-28T20:23:57","date_gmt":"2025-05-28T20:23:57","guid":{"rendered":"https:\/\/research.ece.ncsu.edu\/impress\/?page_id=13"},"modified":"2026-08-08T22:41:47","modified_gmt":"2026-08-09T03:41:47","slug":"teaching","status":"publish","type":"page","link":"https:\/\/research.ece.ncsu.edu\/impress\/teaching\/","title":{"rendered":"Teaching"},"content":{"rendered":"\n

Teaching in the IMPRESS Lab centres on the signal processing and machine learning<\/strong> emphasis area \u2014 from the core undergraduate mathematics that engineering rests on, through signals and systems, to graduate electives in radar and array processing that lead directly into the lab\u2019s research.<\/p>\n\n

At NC State University (2025\u2013 )<\/h2>\n\n
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\"Complex<\/figure>\n<\/div>\n\n
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ECE 220 \u2014 Analytical Foundations for ECE<\/h3>\n\n

Offered: Spring 2025, Spring 2026<\/p>\n\n

The core mathematical foundations for electrical and computer engineering: complex numbers and the complex exponential, linear algebra, and differential equations \u2014 the analytical language behind circuits, signals, systems, and machine learning.<\/p>\n\n

Course syllabus \u2192<\/strong><\/a><\/p>\n<\/div>\n<\/div>\n<\/div><\/div>\n\n

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\"Signals<\/figure>\n<\/div>\n\n
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ECE 301 \u2014 Linear Systems<\/h3>\n\n

Offered: Fall 2025<\/p>\n\n

Representation and analysis of signals and linear time-invariant systems in continuous and discrete time: convolution, Fourier series and transforms, sampling, and transform-domain analysis \u2014 the foundation of modern signal processing.<\/p>\n\n

Course syllabus \u2192<\/strong><\/a><\/p>\n<\/div>\n<\/div>\n<\/div><\/div>\n\n

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\"Uniform<\/figure>\n<\/div>\n\n
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ECE 792 \u2014 Radar and Array Signal Processing<\/h3>\n\n

Offered: Fall 2026<\/p>\n\n

A graduate course covering the principles of radar and sensor array processing: the radar range equation and radar cross section, matched filtering and pulse compression, ambiguity functions and waveform design, Doppler processing and clutter, array geometries and beamforming, direction-of-arrival estimation, adaptive and space-time adaptive processing, and modern learning-based approaches to radar and array problems.<\/p>\n\n

Course syllabus \u2192<\/strong><\/a><\/p>\n<\/div>\n<\/div>\n<\/div><\/div>\n\n

At Mississippi State University (2018\u20132024)<\/h2>\n\n
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\"Mathematical<\/figure>\n<\/div>\n\n
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ECE 4990\/6990 \u2014 Mathematical Foundations of Machine Learning<\/h3>\n\n

Offered: Spring 2020, Spring 2021 \u2014 designed and offered for the first time at MSU<\/p>\n\n

Gives senior, masters and first-year Ph.D. students in engineering and computing a solid mathematical background in the linear algebra, signal processing and applied probability behind modern data science, covering the foundations of both supervised and unsupervised learning \u2014 so that students can understand, extend and develop learning techniques rather than only applying black-box tools.<\/p>\n\n

Course syllabus \u2192<\/strong><\/a><\/p>\n<\/div>\n<\/div>\n<\/div><\/div>\n\n

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\"Statistical<\/figure>\n<\/div>\n\n
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ECE 8433 \u2014 Statistical Signal Processing<\/h3>\n\n

Offered: Spring 2019<\/p>\n\n

Introduces graduate students to the mathematical ideas behind modern statistically-based analysis of signals and systems: detection, classification and estimation together with their underlying statistical properties \u2014 the foundations on which many current machine learning and deep learning methods are built.<\/p>\n\n

Course syllabus \u2192<\/strong><\/a><\/p>\n<\/div>\n<\/div>\n<\/div><\/div>\n\n

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\"Signals<\/figure>\n<\/div>\n\n
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ECE 3443 \u2014 Signals and Systems<\/h3>\n\n

Offered: Spring 2019, Fall 2020, Spring 2022, Fall 2022, Fall 2023<\/p>\n\n

Basic concepts of signals, system modelling and system classification; time-domain and frequency-domain approaches to the analysis of continuous and discrete systems, with modern simulation software.<\/p>\n\n

Course syllabus \u2192<\/strong><\/a><\/p>\n<\/div>\n<\/div>\n<\/div><\/div>\n\n

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\"Principles<\/figure>\n<\/div>\n\n
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ECE 4433\/6433 \u2014 Introduction to Radar<\/h3>\n\n

Offered: Fall 2021<\/p>\n\n

Basic principles of radar and its key sub-systems: the radar range equation, radar cross section, clutter, measurement of range and velocity, waveforms, matched filtering, pulse compression and stretch processing, ambiguity functions and coded waveforms, Doppler processing and MTI filtering, and the principles of radar target detection.<\/p>\n\n

Course syllabus \u2192<\/strong><\/a><\/p>\n<\/div>\n<\/div>\n<\/div><\/div>\n\n

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\"Electromagnetics<\/figure>\n<\/div>\n\n
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ECE 3313 \u2014 Electromagnetics I<\/h3>\n\n

Offered: Fall 2018<\/p>\n\n

Fundamental laws and concepts governing electromagnetics: static and dynamic fields, energy and power, fields and waves within and at the boundaries of media, and radiation and propagation in space and within transmission lines.<\/p>\n\n

Course syllabus \u2192<\/strong><\/a><\/p>\n<\/div>\n<\/div>\n<\/div><\/div>\n\n

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Additional teaching at MSU<\/h3>\n\n