placeholder image
  • Contact Info
Publications in VIVO
 

O'Rourke, Sean Daniel Assistant Professor

Positions

Research Areas research areas

Research

keywords

  • probability theory, random matrix theory, random polynomials

Publications

selected publications

Teaching

courses taught

  • APPM 4520 - Introduction to Mathematical Statistics
    Primary Instructor - Spring 2018
    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 STAT 5520 and MATH 4520 and MATH 5520.
  • APPM 5520 - Introduction to Mathematical Statistics
    Primary Instructor - Spring 2018
    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. Department enforced prerequisite: one semester calculus-based probability course, such as MATH 4510 or APPM 3570. Same as STAT 4520 and MATH 4520 and MATH 5520.
  • FYSM 1000 - First Year Seminar
    Primary Instructor - Fall 2018
    Provide first year students with an immersive experience in an interdisciplinary topic that addresses current issues including social, technical and global topics. Taught by faculty from across campus, the course provides students with an opportunity to interact in small classes, have project based learning experiences and gain valuable communication skills. Seminar style classes focused on discussion and projects.
  • MATH 2400 - Calculus 3
    Primary Instructor - Spring 2020
    Continuation of MATH 2300. Topics include vectors, three-dimensional analytic geometry, partial differentiation and multiple integrals, and vector analysis. Department enforced prerequisite: MATH 2300 or APPM 1360 (minimum grade C-). Degree credit not granted for this course and APPM 2350.
  • MATH 4520 - Introduction to Mathematical Statistics
    Primary Instructor - Spring 2018 / Spring 2019
    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 5520 - Introduction to Mathematical Statistics
    Primary Instructor - Spring 2018 / Spring 2019
    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. Department enforced prerequisite: MATH 4510 or MATH 5510 or APPM 3570. Same as MATH 4520 and STAT 4520 and STAT 5520.
  • MATH 6320 - Introduction to Real Analysis 2
    Primary Instructor - Spring 2018
    Covers general metric spaces, the Baire Category Theorem, and general measure theory, including the Radon-Nikodym and Fubini theorems. Presents the general theory of differentiation on the real line and the Fundamental Theorem of Lebesgue Calculus. Recommended prerequisite: MATH 6310. Instructor consent required for undergraduates.

Background

International Activities

global connections related to teaching and scholarly work (in recent years)

Other Profiles