Math 180A

Fall 2020, Lecture B00 (MWF 3:00-3:50pm)

Introduction to Probability

Announcements

Course Information

Instructional Staff and Office Hours

NameRoleOfficeE-mailOffice hours Zoom link
Yuriy Nemish Instructor - ynemish@ucsd.edu
  • Monday 4:00-5:00pm
  • Wednesday 6:00-7:00pm
Zoom
Phong Chau Teaching Assistant - phchau@ucsd.edu
  • Wednesday, 9:00-11:00am
Zoom
Yesheng Huang Teaching Assistant - yeh018@ucsd.edu
  • Wednesday 11:00am-1:00pm
Zoom
Yubo Shuai Teaching Assistant - yushuai@ucsd.edu
  • Monday 2:00-3:00pm
  • Friday 2:00-3:00pm
Zoom
Piazza (sign up link: piazza.com/ucsd/winter2016/math180a). We ask that when you have a question about the class that might be relevant to other students, you post your question on Piazza instead of emailing us. That way, everyone can benefit from the response. Posts about homework or exams on Piazza should be content based. While you are encouraged to crowdsource and discuss coursework through Piazza, please do not post complete solutions to homework problems there. Questions about grades should be brought to the instructors, in office hours. You can also post private messages to instructors on Piazza, which we prefer to email.

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Please, check the following calendar for possible reschedulings of the office hours. You are welcome to attend the office hours of either of the TAs, not just your own.

Calendar



Zoom Meetings

DateTimeZoom link
Live Q&A (YN) Monday, Wednesday, Friday3:00pm - 3:30pmZoom
Discussion B01 (Chau) Friday5:00pm - 5:50pmZoom
Discussion B02 (Chau) Friday6:00pm - 6:50pmZoom
Discussion B03 (Huang) Friday7:00pm - 7:50pmZoom
Discussion B04 (Huang) Friday5:00pm - 5:50pmZoom
Discussion B05 (Shuai) Friday6:00pm - 6:50pmZoom
Discussion B06 (Shuai) Friday7:00pm - 7:50pmZoom

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Important dates

Week Date Time
Quiz 1 2 Wednesday, Oct 14 see Quizzes
Quiz 2 3 Wednesday, Oct 21 see Quizzes
Midterm Exam 1 4Wednesday, Oct 28 see Midterm Exams
Quiz 3 5 Wednesday, Nov 4 see Quizzes
Quiz 4 7 Wednesday, Nov 18 see Quizzes
Midterm Exam 2 8Monday, Nov 23 see Midterm Exams
Quiz 5 10 Wednesday, Dec 9 see Quizzes
Final Exam FinalsFriday, Dec 183pm - 6pm; see Final Exam

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Syllabus


Welcome to Math 180A: a one quarter course introduction to probability theory. This course is the prerequisite for the subsequent courses Math 180B/C (Introduction to Stochastic Processes) and Math 181A/B (Introduction to Mathematical Statistics), as well as for MATH 114 (Introduction to Computational Stochastics), MATH 194 (The Mathematics of Finance) and Math 189 (Exploratory Data Analysis and Inference). According to the UC San Diego Course Catalog, the topics covered are probability spaces, random variables, independence, conditional probability, discrete and continuous probability distributions, joint distributions, variance and moments, the Laws of Large Numbers, and the Central Limit Theorem.

Here is a more detailed listing of course topics, in the sequence they will be covered, together with the relevant section(s) of the textboox. While each topic corresponds to approximately one lecture, there will be some give and take here. This is a rough schedule that will be updated during the term.

Q&AWeekTopicASVSlidesLecture videosAdditional videos
10/20 Administrivia ----
10/51 Definition of Probability. Random sampling 1.1-1.2Slides 1Lecture 1-
10/71 Radnom sampling. Basic Properties of Probability 1.2-1.4Slides 2Lecture 2-
10/91 Conditional Probability 2.1Slides 3Lecture 3-
10/122 Bayes' Rule. Independence 2.2-2.3Slides 4Lecture 4-
10/142 Random Variables 1.5, 3.1Slides 5Lecture 5-
10/162 Probability Distributions 3.1-3.2Slides 6Lecture 6-
10/193 CDF and PDF 3.2Slides 7Lecture 7-
10/213 Independent Trials and Sampling. Binomial, Geometric, and Poisson Distributions 2.4-2.5, 4.4Slides 8Lecture 8-
10/233 Expected Value 3.3Slides 9Lecture 9-
10/264 Review
  • Practice Midterm 1v1
  • Solution
  • Practice Midterm 1v2
  • Solution
-
10/284 Midterm 1
10/304 Expectation 3.3Slides 10Lecture 10-
11/25 Variance. Normal (Gaussian) Distribution 3.4, 3.5Slides 11Lecture 11-
11/45 Normal Approximation 4.1-4.2Slides 12Lecture 12-
11/65 Normal Approximation. Law of Large Numbers 4.1-4.2Slides 13Lecture 13-
11/96 Confidence intervals 4.3Slides 14Lecture 14-
11/116 Veterans Day
11/136 Exponential Distribution 4.5Slides 15Lecture 15-
11/167 Moment Generating Function 5.1-5.2Slides 16Lecture 16-
11/187 Joint Distributions 5.2-6.1Slides 17Lecture 17-
11/207 Review Practice Midterm 2Solution-
11/238 Midterm 2
11/258 Joint distrubutions 6.1-6.2Slides 18Lecture 18-
11/278 Thanksgiving
11/309 Independence of Random Variables 6.3Slides 19Lecture 19-
12/29 Expectations of sums and products 8.1-8.3Slides 20Lecture 20-
12/49 Covariance, correlation, and variance of sums 8.4Slides 21Lecture 21-
12/710 Covariance and correlation. 9.1Slides 22Lecture 22-
12/910 Law of Large Numbers. Central Limit Theorem 9.2-9.3Slides 23Lecture 23-
12/1110 Review ---

Prerequisite:  The only prerequisites are calculus up to and including Math 20C (Multivariate Calculus) or MATH 31BH (Honors Multivariable Calculus). Math 109 (Mathematical Reasoning) is also strongly recommended as a prerequisite or corequisite.

Lecture:  You are responsible for material presented in the lecture whether or not it is discussed in the textbook. You should expect questions on the exams that will test your understanding of concepts discussed in the lecture.

Homework:  Homework assignments are posted below, and will be due at 11:59pm on the indicated due date.  You must turn in your homework through Gradescope; if you have produced it on paper, you can scan it or simply take clear photos of it to upload. Your lowest homework score will be dropped.  It is allowed and even encouraged to discuss homework problems with your classmates and your instructor and TA, but your final write up of your homework solutions must be your own work.

Quizzes:   The quizzes will take place on the dates listed above.

Midterm Exams:  The midterm exams will take place on October 28 and November 23 as listed above.

Final Exam:  The final examination will be held at the officially scheduled time: 3pm - 6pm (PST) on December 18. There may be an additional final examination time slot scheduled for students experiencing extreme time differences.

Exam policies

Administrative Links:    Here are two links regarding UC San Diego policies on exams:

Regrade Policy:  

Grading: Your cumulative average will be computed as the best of the following weighted averages:

Your course grade will be determined by your cumulative average at the end of the quarter, and will be based on the following scale:

A+ A A- B+ B B- C+ C C-
97 93 90 87 83 80 77 73 70

The above scale is guaranteed: for example, if your cumulative average is 80, your final grade will be at least B-. However, your instructor may adjust the above scale to be more generous.

Academic Integrity:  UC San Diego's code of academic integrity outlines the expected academic honesty of all studentd and faculty, and details the consequences for academic dishonesty. The main issues are cheating and plagiarism, of course, for which we have a zero-tolerance policy. (Penalties for these offenses always include assignment of a failing grade in the course, and usually involve an administrative penalty, such as suspension or expulsion, as well.) However, academic integrity also includes things like giving credit where credit is due (listing your collaborators on homework assignments, noting books or papers containing information you used in solutions, etc.), and treating your peers respectfully in class. In addition, here are a few of our expectations for etiquette in and out of class.

Accommodations:

Students requesting accommodations for this course due to a disability must provide a current Authorization for Accommodation (AFA) letter issued by the Office for Students with Disabilities (OSD) which is located in University Center 202 behind Center Hall. The AFA letter may be issued by the OSD electronically or in hard-copy; in either case, please make arrangements to discuss your accommodations with me in advance (by the end of Week 2, if possible). We will make every effort to arrange for whatever accommodations are stipulated by the OSD. For more information, see here.

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Homework


Weekly homework assignments are posted here. Homework is due by 11:59pm on the posted date, through Gradescope. Late homework will not be accepted.