 |
| |
| Day/Time: | TuTh 09:30am -- 10:45am EST |
| Location: | EGR - Room 0108 |
| Armand M. Makowski | |
| Office: | AVW - Room 2357 |
| Voice: | (301) 405 - 6844 |
| Fax: | (301) 314 - 9281 |
| Email: | armand@umd.edu |
| Day/Time: | TuTh 11:00am - 12:30pm EST |
| Also by appointment (in person or on zoom) |
| REQUIRED TEXT: | Introduction to Probability |
| David F. Anderson, Timo Seppalainen and Benedek Valko | |
| Cambridge University Press (2018) | |
| Cambridge (United Kingdom) | |
| ISBN 978-1-886529-23-6 |
| Amazon | Amazon | |
| Barnes & Noble | Barnes & Noble | |
| Ecampus' Market Place | Market Place | |
| TextBookX.com | TextBookX.com | |
| Textbooks.com | Textbooks.com | |
| Chegg.com (A book rental outlet) | Chegg.com |
Some sites allow you to rent books while others will offer e-versions to be downloaded.
Additional material and information can be found in the following books and references with coverage similar to that of the required text:
| Joseph K. Blitzstein and Jessica Hwang, Introduction to Probability (Second Edition), CRC Press, Boca Raton (FL), 2019 [Additional material available here]. | |
| Dimitri P. Bertsekas and John N. Tsitsiklis, Introduction to Probability (Second Edition), Athena Scientific, Nashua (NH), 2008 [Often used by other ENEE 324 instructors]. | |
| Sheldon M. Ross, A First Course in Probability (6th Edition), Prentice-Hall, Upper Saddle River (NJ), 2001. | |
| Sheldon M. Ross, Introduction to Probability Models (10th Edition), Academic Press, 2009. Soft copy available here | Sheldon M. Ross and Erol A Pekoz, A Second Course in Probability, Pekozbooks, 2007. |
On occasion lectures notes on certain topics and issues will be made available.
Lecture notes on Set theory
For an extensive discussion of the Monty Hall problem see the following entry of Wikipedia.
For an extensive discussion of the Birthday problem see the following entry of Wikipedia.
A proof of Poincare's Formula
Probability models: Axioms and basic manipulations
Counting procedures
Conditional probabilities and Bayes' rule -- Applications.
Random variables of discrete and continuous types.
Basic rules for manipulating probability densities in the computation of event probabilities, functions of random variables and expected values.
Pairs of random variables, random vectors and their marginal, joint and conditional probability distributions, conditional expectations.
Concepts of correlation and independence.
Sums of random variables: Law of Large Numbers and Central Limit Theorem.
Estimate using the sample mean; confidence intervals.
| Week # 1 starting 08/28: | Appendix B (Set Theory) and Appendix C (Counting Techniques) |
| Week # 2 starting 09/04: | Chapter 1 (Section 1.1 to Section 1.5) |
| Week # 3 starting 09/11: | Chapter 1 |
| Also have a look at the following Wikipedia entries concerning the Monty Hall problem and the Birthday problem. | |
| Week # 4 starting 09/18: | Chapter 1 and Chapter 2 |
| Week # 5 starting 09/25: | Chapter 1 (Section 1.5) and Chapter 2 (Sections 2.1 -- 2.6) |
| Week # 6 starting 10/02: | Chapter 1 (Section 1.5) and Chapter 2 (pp. 56-66) |
| Week # 7 starting 10/09: | Chapter 1 (Section 1.5) and Chapter 2 (pp. 56-66) |
| Week # 8 starting 10/16: | Chapter 2 (Sections 2.3 - 2.6) and Chapter 3 (Sections 3.1-3.2) |
| Week # 9 starting 10/23: | Chapter 3 (Sections 3.1-3.5) |
| Week # 10 starting 10/30: | Chapter 3 (with special attention to Sections 3.4--3.5) |
| Week # 11 starting 11/06: | Chapter 3 (with special attention to Sections 3.4--3.5) and Chapter 4 (Sections 4.1--4.2) |
| Week # 12 starting 11/13: | |
| Week # 13 starting 11/20: | |
| Week # 14 starting 11/27: | |
| Week # 15 starting 12/04: |
From: Ethem ALPAYDIN, Machine Learning, The MIT Press Essential Knowledge Series, Cambridge (MA), 2016. p. 42: " ... A student who can only solve the exercises that the teacher previously solved in class has not fully mastered the subject; we want them to acquire a sufficiently general understanding from those examples so that they can also solve new questions about the same topic."
Homeworks will be assigned on a weekly basis: The homework assignment for the week will be posted on the Sunday starting that week -- The first homework will be released on 09/03. Each weekly assignment will contain ten (10) homework problems; most of these problems will come from the textbook. An answer key will be prepared for each weekly problem set and will be made available by Thursday; the solutions will be discussed by the TA during that week recitation session. You are invited to request by email the problems you may want the TA to discuss! Homeworks will not be graded.
| Teaching Assistant: | Pasan Dissanyake (ECE) |
| Friday (11:00am-11:50am) | |
| EGR -- Room 1102 |
During the recitations, the TA will discuss the solutions to various exercises and review some key points of the course material.
Every two weeks there will be a one-question quiz given at the end of the recitation period. Each quiz will cover the course material up to (and including) that discussed on the Tuesday class of that week. See below for contribution to your final grade.
Schedule for the quizzes (Tentative):
| Quiz # 1 on 09/08 |
| Quiz # 2 on 09/22 |
| Quiz # 3 on 10/06 |
| Quiz # 4 on 10/20 |
| Quiz # 5 on 11/03 |
| Quiz # 6 on 11/17 |
| Quiz # 7 on 12/01 |
| Pasan Dissanyake (ECE) | |
| Email: | pasand@umd.edu |
| Office: | AVW -- Room 1113 |
| Office hours in AVW office: | Friday (12:00pm -- 01:00pm) |
| or by appointment (in person or on zoom) |
The final grade for the course will be based on performance on biweekly quizzes, two tests and a final exam; their respective contributions to the final grade are listed below. All mid-terms will be taken in Room EGR--0108, and the place/date/time of the final will be announced at a later date as the information becomes available.
| Quizzes | Biweekly | One-question quizzes | |
| (10%) | (As per schedule above) | To be taken at the end of the recitation period. | |
| Best five (5) quizzes out of seven (7) used in computing this contribution to your grade. | |||
| Material covered up to the Tuesday class of that week. | |||
| Exam # 1 | 10/05 | Closed book with one-page crib sheet allowed | |
| (25%) | Chapter 1 -- Section 1.5 not included. | ||
| Chapter 2 -- Sections 2.1 to 2.3 [up to p. 55], Section 2.5 [Conditional independence up to p. 65], Birthday Problem [pp. 66-69] | |||
| HW sets #1 - # 4 and Quizzes #1 - #2. | |||
| Exam # 2 | 11/14 | CUMULATIVE. Open book with one-page crib sheet allowed | |
| (30%) | |||
| Final | 12/DD | CUMULATIVE. Closed book with one-page crib sheet allowed | |
| (35%) |
| 08/28/2023 | First day of classes for Fall 2023 | |
| 08/29/2023 | First class for ENEE 324 | Welcome to ENEE 324 |
| 09/04/2023 | Labor Day | Last swim of Summer 2023! |
| 10/05/2023 | Test #1 | In class exam (Closed book but one-page crib sheet allowed) |
| 11/14/2023 | Test #2 | In class exam (CUMULATIVE: Closed book but one-page crib sheet allowed) |
| 11/21/2023 | ||
| 11/22/2023 | Thanksgiving break | Campus is closed and no classes. |
| 11/23/2023 | Thanksgiving Day | Safe travels and happy Turkey Day with your loved ones! |
| 11/24/2023 | Thanksgiving break | Campus is closed and no classes. |
| 12/07/2023 | Last class for ENEE 324 | |
| 12/11/2023 | Last day of classes for Fall 2023 | |
| 12/DD/2023 | FINAL EXAM | 00:00am-00:00am in Room TO BE ANNOUNCED |
| (CUMULATIVE. Closed book but one-page crib sheet allowed) | ||
| BE THERE ON TIME! |