Teaching of Jeffrey S. Rosenthal

Current courses (2024-25):

• STA257F L0101: Probability and Statistics I (Fall: Mondays 11-1 and Wednesdays 11-12)
• STA257F L0201: Probability and Statistics I (Fall: Mondays 3-5 and Wednesdays 3-4; see card)
• STA2111F: Graduate Probability I (Fall: Thursdays 2-5)

See also my research supervision and my policy on letters of recommendation and on regrading and Crowdmark, as well as my book about probability for a general audience, my introductory-level probability and statistics textbook (joint with M.J. Evans), and my graduate-level probability textbook, and my article about mathematics education.

You can also read my Rant about Uncorrelated Normal Random Variables; my reflections on the demands of teaching; my handouts, intended for enrichment for high school students, entitled Is it better to be born rich or lucky? and Probability and Poker; plus some related questions and the handout Gambling Games and Random Walks; and a math problem about the Metropolis algorithm.

Previous courses (2023-24):

• STA257F L0101: Probability and Statistics I (Fall: Mondays 11-12 in MB128, and Wednesdays 11-1 in AH100)
• STA257F L0201: Probability and Statistics I (Fall: Mondays 3-4 in WB116, and Wednesdays 3-5 in AH100)
• STA2111F: Graduate Probability I (Fall: Thursdays 10-1 in WW121)

Previous courses (2022-23):

• STA257F L0101: Probability and Statistics I (Fall: Mondays 11-12 in LM162, and Wednesdays 11-1 in SS2102)
• STA257F L0201: Probability and Statistics I (Fall: Mondays 3-4 in NL6, and Wednesdays 3-5 in MP202)
• STA2111F: Graduate Probability I (Fall: Thursdays 10-1 in UY 17198)

Previous courses (2021-22):

• STA3431F: Monte Carlo Methods (Fall: Mondays 10-12; online synchronous)
• (On research leave, January-June 2022.)

Previous courses (2020-21):

• STA198F: First-Year Seminar (Fall: Wednesdays 3-5; online synchronous; see related video)
• STA3431F: Monte Carlo Methods (Fall: Mondays 10-12; online synchronous)
• (On research leave, January-June 2021.)

Previous courses (2019-20):

• STA198F: First-Year Seminar (Fall: Wednesdays 2-4 in Innis College (IN) room 313)
• STA3431F: Monte Carlo Methods (Fall: Mondays 10-12 in OISE (OI) room 5150)
• STA447/2006S: Stochastic Processes (Winter: Thursdays 6-9pm in Mining Building (MB) room 128)
• STA4502: Topics in Stochastic Processes (Feb-April only: Wednesdays 11-1 in SS 2101)

Previous courses (2018-19):

• STA3431F: Monte Carlo Methods (Fall: Mondays 10-12 in SS1072)
• PMU199F: First-Year Seminar (Fall: Wednesdays 2-4 in SS2120)
• STA447/2006S: Stochastic Processes (Winter: Thursdays 6-9pm in MB128; see comments)

Previous courses (2017-18):

• STA3431F: Monte Carlo Methods (Fall: Mondays 10-12 in SS2105)
• STA447/2006S: Stochastic Processes (Winter: Thursdays 6-9pm in SS2102)
• STA4502: Topics in Stochastic Processes (Feb-April: Wednesdays 11-1 in SS2120)

Previous courses (2016-17):

• STA130S: An Introduction to Statistical Reasoning and Data Science (Winter: Mondays 2-4pm in MC252, and tutorials Wednesdays 2-4pm; see sample assignment)
• STA447/2006S: Stochastic Processes (Winter: Thursdays 6-9pm in MS2170)

Previous courses (2015-16):

• STA201F: Why Numbers Matter (Fall: Mondays 2-3pm and Wednesdays 1-3pm in LM 161; see a related article)
• STA130S: An Introduction to Statistical Reasoning and Data Science (Winter: Mondays 2-4pm in GB 220, and tutorials Wednesdays 2-4pm; see media article, report, related article)
• STA447/2006S: Stochastic Processes (Winter: Thursdays 6-9pm in SS1069)
• STA4502S: Monte Carlo Estimation (Jan 13 to Feb 26: Wednesdays 11-1 and Fridays 11-12 in SS1080)

Previous courses (2014-15):

• STA201F: Why Numbers Matter (Fall: Mondays 2-3pm and Wednesdays 1-3pm in LM 161.)
• (On research leave, January-June 2015.)

Previous courses (2013-14):

• STA201F: Why Numbers Matter (Fall: Mondays 1-3pm in MP 102 and Wednesdays 1-2pm in MP 202.)
• (On research leave, January-June 2014.)

Previous courses (2012-13):

• STA201F: Why Numbers Matter (Fall: Mondays 1-3pm and Wednesdays 1-2pm, VC215; see article or here, and a related Q&A)
• STA4502: Monte Carlo Estimation (Jan-Feb: Wednesdays 11-1 and Fridays 11-12, BA1200)
• Introductory Statistics MOOC (see promo video, French interview, feedback, final song [mp4, mp3, comments], related course)

Previous courses (2011-12):

• STA2111F: Graduate Probability I (Fall: Mondays 1-4pm, SS2108)
• STA2211S: Graduate Probability II (Winter: Mondays 1-4pm, SS1088)
• STA447/2006S: Stochastic Processes (Winter: Thursdays 6-9pm, SS1073)

Previous courses (2010-11):

• PMU199Y (L0411): Probabilities Everywhere (Full Year: Wednesdays 2-4, SS1078).
• STA3431S: Monte Carlo Methods (Winter: Mondays 2-4, AB107).

Previous courses (2009-10):

• SCI199Y (L0411): Probabilities Everywhere (Wednesdays 2-4: Fall SS2101, Winter UC D301).
• STA3431S: Monte Carlo Methods (Winter: Mondays 2-4, LM123).
• I was also the statistics seminar coordinator.

Previous courses (2008-09):

• SCI199Y (L0411): Probabilities Everywhere (Fall & Winter: Wednesdays 2-4, in SS2129).
• STA3431S: Monte Carlo Methods (Winter: Mondays 2-4, in BA2145).

Previous courses (2007-08):

• STA410/2102F: Statistical Computation (Fall: Tuesdays 6-9 pm, SS 2110)
• STA447/2006S: Stochastic Processes (Winter: Thursdays 6-9 pm, SS 2118)
• STA286S: Probability and Statistics for Engineering Science (Winter: Wednesdays 9-10 am, RS211, and Fridays 12-1, BA1190; see schedule / course outline / CCNet page)
• I was also the statistics seminar coordinator, and the research computing committee chair.

Previous courses (2006-07):

• None. (On research leave.)

Previous Courses (2005-06):

• SCI199Y: Probability and Uncertainty
• STA2111F: Graduate Probability I
• STA2211S: Graduate Probability II
• I was also the statistics seminar coordinator, and the research computing committee chair.

Previous Courses (2004-05):

• SCI199Y: Large Numbers and Small Probabilities
• STA2111F: Graduate Probability I
• STA2211S: Graduate Probability II

Previous Courses (2003-04):

• STA2111F: Graduate Probability I
• STA4276F: Research Topics in Monte Carlo Methods: Markov chain Monte Carlo algorithms
• STA261S: Probability and Statistics II
• STA2211S: Graduate Probability II

Previous Courses (2002-03):

• STA2111F: Graduate Probability I.
• STA2211S: Graduate Probability II.
• (Plus I was Associate Chair, Graduate Studies.)

Previous Courses (2001-02):

• STA3047F: Stochastic Processes.
• STA447/2006S: Applied Stochastic Processes.
• (Plus I was Associate Chair, Graduate Studies.)

Previous Courses (2000-01):

• STA2112F: Mathematical Statistics I.
• STA447/2006S: Applied Stochastic Processes.
• STA4247S: Research Topics in Stochastic Processes.
• (Plus I was Associate Chair, Graduate Studies.)

Previous Courses (1999-2000):

• None. (On research leave.)

Previous Courses (1998-99):

• SCI199Y: Random Walks and Mathematical Discovery.
• STA2111F: Graduate Probability I.
• STA2211S: Graduate Probability II.

Previous Courses (1997-98):

• SCI199Y: Random Walks and Mathematical Discovery (see course handout);
• STA2111F: Graduate Probability I (see homework assignments, course handout);
• STA2211S: Graduate Probability II (see homework assignments, course project).

Previous Courses (1996-97):

• SCI199Y: Random Walks and Mathematical Discovery (including all class hand-outs in pdf format)
• STA2111F: Graduate Probability I
• STA2211S: Graduate Probability II

Previous Courses (1995-96):

• STA2111F: Graduate Probability I
• STA3077F: Research Topics in Probability
• STA257S: Probability with Statistical Applications
• STA2211S: Graduate Probability II

Previous Courses (1994-95):

• STA2111F: Graduate Probability I
• STA257S: Probability with Statistical Applications
• STA2211S: Graduate Probability II

Previous Courses (Winter 1994):

• STA257S: Probability with Statistical Applications
• STA3047S: Stochastic Processes