MA 41600, Fall 2018

Course Description

Credit Hours: 3.00. (STAT 416) An introduction to mathematical probability suitable as a preparation for actuarial science, statistical theory, and mathematical modeling. General probability rules, conditional probability and Bayes theorem, discrete and continuous random variables, moments and moment generating functions, joint and conditional distributions, standard discrete and continuous distributions and their properties, law of large numbers and central limit theorem. Typically offered Fall Spring.

Instructor Info.

Section Room Time Instructor Office
MA 41600 001 REC 114 12:30pm MWF Cushman, John HAMP 3223
MA 41600 131 UNIV 003 9:30am MWF Ward, Mark Daniel MATH 200
MA 41600 151 REC 309 3:30pm MWF Su, Jianxi No Office
MA 41600 152 REC 309 4:30pm MWF Su, Jianxi No Office
MA 41600 155 UNIV 101 12:00pm TR Arapura, Donu MATH 642
MA 41600 156 REC 309 11:30am MWF Sellke, Thomas No Office

Course Materials

Section Type Title Author
156 Textbook Probability (1st) Jim Pitman
131 Textbook Introduction to Proability (1st) Mark Ward, Ellen Gundlach
001 Textbook A First Course in Probability Sheldon M. Ross
155 Textbook A First Course in Probability Sheldon M. Ross
155 Textbook A First Course in Probability (9th) Sheldon M. Ross

Important Notes

  • ADA policies: please see our ADA Information page for more details
  • In the event of a missed exam, see your instructor/professor as soon as possible.
  • See the online course evaluation page for more information on how we collect course feedback from students