STSCI 5080

Last Updated

  • Schedule of Classes - January 8, 2020 7:14PM EST
  • Course Catalog - January 8, 2020 7:15PM EST

STSCI 5080
Probability Models and Inference

Course information provided by the 2019-2020 Catalog.

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.


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.

When Offered Fall.

View Enrollment Information

Syllabi: none

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

  • 4 Credits Stdnt Opt

  • 12002 STSCI 5080   LEC 001

  • Instruction Mode: In Person

    Instructor Consent Required (Add)

  • 12003 STSCI 5080   DIS 201

  • Instruction Mode: In Person

    Instructor Consent Required (Add)