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STAT221 - Applied Probability

Probability models; distribution of one and two random variables; moment generating functions; specific distributions; uniform, binomial, geometric, Poisson, exponential, normal, etc. Markov chains and simple queues. Various applications are considered with emphasis on the analysis of computer systems; simulation techniques are used and the algorithmic approach is used throughout the course. Restricted to Honors and Specialization students in Computing Science and Specialization students in Computational Science (Mathematics). Prerequisites: MATH 101 or 115 or 118 or SCI 100 or equivalent; pre- or corequisite: MATH 102 or 120 or 125 or 127 or equivalent. Credit may not be obtained for both STAT 221 and STAT 265.

Fall Term 2009

Lecture Sections

Fall Term 2009 - LEC A1 (32786)

MWF 09:00:00 - 09:50:00 (CAB 357)
Instructor: michaelk@ualberta.ca - Profile

Lab Sections

Fall Term 2009 - LAB A2 (32788)

W 15:00:00 - 16:50:00 (CAB 331)
Instructor: zlatev@ualberta.ca - Profile
Fall Term 2008

Lecture Sections

Fall Term 2008 - LEC A1 (53475)

MWF 09:00:00 - 09:50:00 (CME 344)
Instructor: michaelk@ualberta.ca - Profile

Lab Sections

Fall Term 2008 - LAB A2 (53477)

T 15:00:00 - 16:50:00 (CAB 331)
Instructor: TBD

Fall Term 2008 - LAB A3 (53478)

W 15:00:00 - 16:50:00 (CAB 331)
Instructor: TBD
Fall Term 2007

Lecture Sections

Fall Term 2007 - LEC A1 (93027)

MWF 09:00:00 - 09:50:00 (CME 344)
Instructor: michaelk@ualberta.ca - Profile

Lab Sections

Fall Term 2007 - LAB A3 (93029)

T 15:00:00 - 16:50:00 (CAB 331)
Instructor: TBD

Fall Term 2007 - LAB A4 (93030)

W 15:00:00 - 16:50:00 (CAB 331)
Instructor: TBD

Fall Term 2007 - LAB A5 (96976)

R 15:00:00 - 16:50:00 (CAB 331)
Instructor: TBD