STSCI 5080

STSCI 5080

Course information provided by the Courses of Study 2014-2015.

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: BTRY 3010, Calculus II, or the 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

Enrollment Information
Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: BTRY 3080BTRY 5080ILRST 5080STSCI 3080

  • 4 Credits Stdnt Opt

  • 12686STSCI 5080  LEC 001

  •  
  • Instruction Mode:
    Prerequisites: BTRY 3010, Calculus II, or the equivalent.

  • 12687STSCI 5080  DIS 201

  •  
  • Instruction Mode:

  • 12773STSCI 5080  DIS 202

  •  
  • Instruction Mode:

Enrollment Information
Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: BTRY 5080ILRST 5080

  • 4 Credits Stdnt Opt

  • 18337STSCI 5080  LEC 002

  •  
  • Instruction Mode:

  • 18338STSCI 5080  DIS 203

  •  
  • Instruction Mode:
    Discussion 203 is reserved for Statistical Science MPS students only.