Qi Cheng

Independent research for students continuing graduate study beyond the level of the MS degree.Offered for variable credit, 1-12 credit hours, maximum of 36 credit hours.Prerequisite(s): Consent of major professor.

A student studying for the master's degree will enroll in this course for a maximum of six credit hours.Offered for variable credit, 1-6 credit hours, maximum of 6 credit hours.

Concepts of probability, statistics, and random variables necessary for study of signals and systems involving uncertainty and randomness. Applications of probability and statistics to practical problems in electrical and computer engineering including communications, signal processing, image processing, and control systems. Prerequisite(s): ECEN 3513.

Independent research for students continuing graduate study beyond the level of the MS degree.Offered for variable credit, 1-12 credit hours, maximum of 36 credit hours.Prerequisite(s): Consent of major professor.

Concepts of probability, statistics, and random variables necessary for study of signals and systems involving uncertainty and randomness. Applications of probability and statistics to practical problems in electrical and computer engineering including communications, signal processing, image processing, and control systems. Prerequisite(s): ECEN 3513.

Independent research and report of an advanced electrical engineering problem. Work performed serves as foundation of the oral PhD preliminary exam.Offered for fixed credit, 3 credit hours.Prerequisite(s): Consent of adviser.

Theory and applications involving probability, random variables, functions of random variables, and stochastic processes, including Gaussian and Markov processes. Operations on random variables, transformation of random variables, single and multiple random variables, correlation, power spectral density, and stationary and non-stationary random processes. Random sums and sequences. Response of linear systems to stochastic processes. State-space formulation and covariance analysis. Same course as MAE 5513.Prerequisite(s): ECEN 4503 or Departmental Permission.

Theory and applications involving probability, random variables, functions of random variables, and stochastic processes, including Gaussian and Markov processes. Correlation, power spectral density, and non-stationary random processes. Response of linear systems to stochastic processes. State-space formulation and covariance analysis. Same course as ECEN 5513. Previously offered as MAE 6063.Prerequisite(s): ECEN 3513 and 4503 or STAT 4033 or MAE 4053 or MAE 4063 or consent of instructor.

Theory and applications involving probability, random variables, functions of random variables, and stochastic processes, including Gaussian and Markov processes. Correlation, power spectral density, and non-stationary random processes. Response of linear systems to stochastic processes. State-space formulation and covariance analysis. Same course as ECEN 5513. Previously offered as MAE 6063.Prerequisite(s): ECEN 3513 and 4503 or STAT 4033 or MAE 4053 or MAE 4063 or consent of instructor.

Theory and applications involving probability, random variables, functions of random variables, and stochastic processes, including Gaussian and Markov processes. Operations on random variables, transformation of random variables, single and multiple random variables, correlation, power spectral density, and stationary and non-stationary random processes. Random sums and sequences. Response of linear systems to stochastic processes. State-space formulation and covariance analysis. Same course as MAE 5513.Prerequisite(s): ECEN 4503 or Departmental Permission.

Independent research for students continuing graduate study beyond the level of the MS degree.Offered for variable credit, 1-12 credit hours, maximum of 36 credit hours.Prerequisite(s): Consent of major professor.

A student studying for the master's degree will enroll in this course for a maximum of six credit hours.Offered for variable credit, 1-6 credit hours, maximum of 6 credit hours.

Concepts of probability, statistics, and random variables necessary for study of signals and systems involving uncertainty and randomness. Applications of probability and statistics to practical problems in electrical and computer engineering including communications, signal processing, image processing, and control systems. Prerequisite(s): ECEN 3513.

Independent research for students continuing graduate study beyond the level of the MS degree.Offered for variable credit, 1-12 credit hours, maximum of 36 credit hours.Prerequisite(s): Consent of major professor.

Concepts of probability, statistics, and random variables necessary for study of signals and systems involving uncertainty and randomness. Applications of probability and statistics to practical problems in electrical and computer engineering including communications, signal processing, image processing, and control systems. Prerequisite(s): ECEN 3513.

Independent research for students continuing graduate study beyond the level of the MS degree.Offered for variable credit, 1-12 credit hours, maximum of 36 credit hours.Prerequisite(s): Consent of major professor.

Theory and applications involving probability, random variables, functions of random variables, and stochastic processes, including Gaussian and Markov processes. Operations on random variables, transformation of random variables, single and multiple random variables, correlation, power spectral density, and stationary and non-stationary random processes. Random sums and sequences. Response of linear systems to stochastic processes. State-space formulation and covariance analysis. Same course as MAE 5513.Prerequisite(s): ECEN 4503 or Departmental Permission.

Theory and applications involving probability, random variables, functions of random variables, and stochastic processes, including Gaussian and Markov processes. Correlation, power spectral density, and non-stationary random processes. Response of linear systems to stochastic processes. State-space formulation and covariance analysis. Same course as ECEN 5513. Previously offered as MAE 6063.Prerequisite(s): ECEN 3513 and 4503 or STAT 4033 or MAE 4053 or MAE 4063 or consent of instructor.

Theory and applications involving probability, random variables, functions of random variables, and stochastic processes, including Gaussian and Markov processes. Operations on random variables, transformation of random variables, single and multiple random variables, correlation, power spectral density, and stationary and non-stationary random processes. Random sums and sequences. Response of linear systems to stochastic processes. State-space formulation and covariance analysis. Same course as MAE 5513.Prerequisite(s): ECEN 4503 or Departmental Permission.

Independent research for students continuing graduate study beyond the level of the MS degree.Offered for variable credit, 1-12 credit hours, maximum of 36 credit hours.Prerequisite(s): Consent of major professor.

A student studying for the master's degree will enroll in this course for a maximum of six credit hours.Offered for variable credit, 1-6 credit hours, maximum of 6 credit hours.

Concepts of probability, statistics, and random variables necessary for study of signals and systems involving uncertainty and randomness. Applications of probability and statistics to practical problems in electrical and computer engineering including communications, signal processing, image processing, and control systems. Prerequisite(s): ECEN 3513.

Independent research for students continuing graduate study beyond the level of the MS degree.Offered for variable credit, 1-12 credit hours, maximum of 36 credit hours.Prerequisite(s): Consent of major professor.

Independent research and report of an advanced electrical engineering problem. Work performed serves as foundation of the oral PhD preliminary exam.Offered for fixed credit, 3 credit hours.Prerequisite(s): Consent of adviser.

Concepts of probability, statistics, and random variables necessary for study of signals and systems involving uncertainty and randomness. Applications of probability and statistics to practical problems in electrical and computer engineering including communications, signal processing, image processing, and control systems. Prerequisite(s): ECEN 3513.