BTRY 3080

BTRY 3080

Course information provided by the Courses of Study 2022-2023.

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, Spring.

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: none
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: ILRST 3080STSCI 3080

  • 4 Credits Stdnt Opt

  •  2224 BTRY 3080   LEC 001

    • TR To Be Assigned
    • Aug 22 - Dec 5, 2022
    • Bunea, F

  • Instruction Mode: In Person
    Prerequisites: BTRY 3010, Calculus II, Multivariable calculus, or the equivalent.

  •  2225 BTRY 3080   DIS 201

    • F To Be Assigned
    • Aug 22 - Dec 5, 2022
    • Bunea, F

  • Instruction Mode: In Person

  •  2247 BTRY 3080   DIS 202

    • M To Be Assigned
    • Aug 22 - Dec 5, 2022
    • Bunea, F

  • Instruction Mode: In Person