STSCI 5080

STSCI 5080

Course information provided by the Courses of Study 2020-2021.

This course provides an introduction to probability and parametric inference. Topics include: random variables, standard distributions, the law of large numbers, the central limit theorem, likelihood-based estimation, sampling distributions and hypothesis testing, as well as an introduction to Bayesian methods. Some assignments may involve computation using the R programming language.

When Offered Fall.

Prerequisites/Corequisites Prerequisite: STSCI 2150 or STSCI 2200/BTRY 3010 or equivalent, MATH 2130 or equivalent.

Outcomes
  • Students will be able to manipulate random variables and their distributions using differential and integral calculus.
  • Students will be able to derive properties of standard probability.
  • Students will be able to derive maximum likelihood estimators for standard probability distributions and discuss their properties.

View Enrollment Information

Syllabi:
  •   Regular Academic Session.  Choose one lecture and one discussion.

  • 4 Credits Stdnt Opt

  • 10828 STSCI 5080   LEC 001

    • TR Online Meeting
    • Sep 2 - Dec 16, 2020
    • Kato, K

  • Instruction Mode: Online

  • 10829 STSCI 5080   DIS 201

    • F Uris Hall G01
    • Sep 2 - Dec 16, 2020
    • Kato, K

  • Instruction Mode: Hybrid-Online and In Person
    Only open to MPS Applied Statistics students.
    Enrollment limited to students who are able to attend in-person classes in the Ithaca area.

Syllabi:
  •   Regular Academic Session.  Choose one lecture and one discussion.

  • 4 Credits Stdnt Opt

  • 21318 STSCI 5080   LEC 002

    • TR Online Meeting
    • Sep 2 - Dec 16, 2020
    • Kato, K

  • Instruction Mode: Online

  • 21317 STSCI 5080   DIS 202

    • F Online Meeting
    • Sep 2 - Dec 16, 2020
    • Kato, K

  • Instruction Mode: Online
    Only open to MPS Applied Statistics students.