Prerequisites: COMPSCI 187 (or E&C-ENG 242) and MATH 132 or consent of instructor.
Number of credits: 4
Meeting times for lectures: MWF 9:05-9:55 AM
Location for lectures: Integrative Learning Center S131 for Section 1 (Nic Herndon), and Hasbrouck Laboratory 124 for Section 2 (Andrew Lan)
Location for discussions: LGRC A104A
Further details are available in the syllabus.
Nic Herndon (nherndon@cs.umass.edu): Fridays, 10:30 - 11:30 AM or by appointment, in LGRT 223
Andrew Lan (andrewlan@cs.umass.edu): Wednesdays, 5:00 - 6:00 PM or by appointment, in CS 230
Assan Toleuov (atoleuov@cs.umass.edu): Thursdays, 5:30 - 6:30 PM, in LGRT 220
Elita Lobo (elobo@umass.edu): Tuesdays, 9:00 - 10:00 AM, in LGRT 223
Paul Crouther (pcrouther@cs.umass.edu): Mondays, 12:00 - 1:00 PM, in LGRT 220
Qingyang Xue (qxue@cs.umass.edu): Mondays, 2:00 - 3:00 PM, in LGRT 220
Date | Day | Details |
---|---|---|
Jan 23 | Wed | Lecture 1: Introductions, Syllabus, and Set Theory Reading: 1.1 |
Jan 25 | Fri | Lecture 2: Probabilistic models Reading: 1.2 |
Jan 28 | Mon | Lecture 3: Conditional probability Reading: 1.3 |
Jan 30 | Wed | |
Jan 31 | Thu | |
Feb 1 | Fri | |
Feb 4 | Mon | Lecture 6: Counting Reading: 1.6 |
Feb 6 | Wed | |
Feb 7 | Thu | |
Feb 8 | Fri | Lecture 8: Discrete random variables + Probability mass functions Reading: 2.1-2.2 |
Feb 11 | Mon | Lecture 9: Common Discrete Random Variables Reading: 2.2 |
Feb 13 | Wed |
Class canceled due to inclement weather
Homework 2 available, due Thu, Feb 21 at 4:00 PM EST |
Feb 14 | Thu | |
Feb 15 | Fri | |
Feb 19 | Tue | |
Feb 20 | Wed | |
Feb 21 | Thu | Discussion 4: Review for Midterm I |
Feb 22 | Fri |
Midterm I Sample/practice exam: Midterm I, Fall 2018 |
Feb 25 | Mon |
Lecture 13: Continuous random variables
Reading: 3.1 |
Feb 27 | Wed | |
Feb 28 | Thu | Discussion 5 |
Mar 1 | Fri | Lecture 15: Normal random variables Reading: 3.3 |
Mar 4 | Mon |
Class canceled due to inclement weather
Quiz 5 available, due Fri, Mar 8 |
Mar 6 | Wed | |
Mar 7 | Thu | Discussion 6 |
Mar 8 | Fri |
Lecture 17: Covariance and correlation
Reading: 4.2 |
Spring break | ||
Mar 18 | Mon | |
Mar 20 | Wed |
Lecture 19: The weak law of large numbers, and convergence in probability
Reading: 5.2-5.3 |
Mar 21 | Thu | Discussion 7 |
Mar 22 | Fri |
Lecture 20: Central limit theorem, and the strong law of large numbers
Reading: 5.4-5.5 Quiz 6 available, due Wed, Mar 27 |
Mar 25 | Mon | Lecture 21: Game theory - Part I |
Mar 27 | Wed |
Lecture 22: Game theory - Part II
|
Mar 28 | Thu | Discussion 8: Review for Midterm II |
Mar 29 | Fri |
Midterm II Sample/practice exam: Midterm II, Fall 2018 |
Apr 1 | Mon | Lecture 23: Game theory - part 3 |
Apr 3 | Wed |
Midterm II solution
Quiz 7 available, due Mon, Apr 8 |
Apr 4 | Thu | Discussion 9 |
Apr 5 | Fri |
Lecture 24: Discrete time Markov chains Reading: 7.1 |
Apr 8 | Mon | Lecture 25: Classification of states Reading: 7.2 |
Apr 10 | Wed | |
Apr 11 | Thu | Discussion 10 |
Apr 12 | Fri | |
Apr 17 | Wed |
Lecture 28: Bayesian networks - Part II
Quiz 9 available, due Sun, Apr 21 |
Apr 18 | Thu | Discussion 11 |
Apr 19 | Fri | Lecture 29: Bayesian networks - Part III |
Apr 22 | Mon | Lecture 30: Bayesian networks - Part IV |
Apr 24 | Wed |
Lecture 31: Review for Final Exam
Quiz 10 available, due Mon, Apr 29 |
Apr 25 | Thu | Discussion 12 |
Apr 26 | Fri | Lecture 32: Review for Final Exam |
Apr 29 | Mon | Lecture 33: Review for Final Exam |
May 1 | Wed | Lecture 34: Review for Final Exam |
May 3 | Fri 8-10AM |
Final exam
Room: Integrative Learning Center S131 for Section 1 Sample/practice exam: Final exam, Fall 2018 |