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Publications in VIVO
 

Kuznetsov, Sergei E. Associate Professor

Positions

Research Areas research areas

Publications

selected publications

Teaching

courses taught

  • APPM 4540 - Introduction to Time Series
    Primary Instructor - Spring 2019
    Studies basic properties, trend-based models, seasonal models modeling and forecasting with ARIMA models, spectral analysis and frequency filtration. Same as STAT 5540 and MATH 4540 and MATH 5540.
  • APPM 5540 - Introduction to Time Series
    Primary Instructor - Spring 2019
    Studies basic properties, trend-based models, seasonal models modeling and forecasting with ARIMA models, spectral analysis and frequency filtration. Department enforced prerequisite: APPM 5520 or MATH 5520. Same as STAT 4540 and MATH 4540 and MATH 5540.
  • MATH 4510 - Introduction to Probability Theory
    Primary Instructor - Fall 2019
    Studies axioms, combinatorial analysis, independence and conditional probability, discrete and absolutely continuous distributions, expectation and distribution of functions of random variables, laws of large numbers, central limit theorems, and simple Markov chains if time permits. Degree credit not granted for this course and APPM 3570 or ECEN 3810 or MATH 3510. Same as MATH 5510.
  • MATH 4540 - Introduction to Time Series
    Primary Instructor - Spring 2019
    Studies basic properties, trend-based models, seasonal models, modeling and forecasting with ARIMA models, spectral analysis and frequency filtration. Same as MATH 5540 and STAT 4540 and STAT 5540.
  • MATH 5510 - Introduction to Probability Theory
    Primary Instructor - Fall 2019
    Studies axioms, combinatorial analysis, independence and conditional probability, discrete and absolutely continuous distributions, expectation and distribution of functions of random variables, laws of large numbers, central limit theorems, and simple Markov chains if time permits. Same as MATH 4510.
  • MATH 5540 - Introduction to Time Series
    Primary Instructor - Spring 2019
    Studies basic properties, trend-based models, seasonal models, modeling and forecasting with ARIMA models, spectral analysis and frequency filtration. Department enforced prerequisite: MATH 4520 or MATH 5520 or APPM 4520 or APPM 5520. Same as MATH 4540 and STAT 4540 and STAT 5540.
  • MATH 6310 - Introduction to Real Analysis 1
    Primary Instructor - Fall 2019
    Develops the theory of Lebesgue measure and the Lebesgue integral on the line, emphasizing the various notions of convergence and the standard convergence theorems. Applications are made to the classical L^p spaces. Department enforced prerequisite: MATH 4001. Instructor consent required for undergraduates.

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