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Luh, Kyle

Assistant Professor

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  • MATH 2001 - Introduction to Discrete Mathematics
    Primary Instructor - Fall 2023
    Introduces the ideas of rigor and proof through an examination of basic set theory, existential and universal quantifiers, elementary counting, discrete probability, and additional topics. Credit not granted for this course and MATH 2002.
  • MATH 3170 - Combinatorics 1
    Primary Instructor - Fall 2022
    Covers basic methods and results in combinatorial theory. Includes enumeration methods, elementary properties of functions and relations, and graph theory. Emphasizes applications.
  • MATH 4510 - Introduction to Probability Theory
    Primary Instructor - Fall 2020 / Spring 2024
    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 4520 - Introduction to Mathematical Statistics
    Primary Instructor - Spring 2021
    Examines point and confidence interval estimation. Principles of maximum likelihood, sufficiency, and completeness: tests of simple and composite hypotheses, linear models, and multiple regression analysis if time permits. Analyzes various distribution-free methods. Same as MATH 5520 and STAT 4520 and STAT 5520.
  • MATH 4530 - Theoretical Foundations of Data Science
    Primary Instructor - Spring 2023
    Introduces theoretical concepts from mathematics, statistics, and computer science required to understand and analyze data. Topics include randomized algorithms, machine learning, streaming, sketching, clustering, random matrices and graphs, graphical models and compressed sensing.
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