Probability and Statistics for Engineers

Instructor Information

instructor: Chaosheng Dong
lecture time: Tuesday and Thursday 9:30AM-10:45AM
lecture location: G31 Benedum Hall
office hours: Wednesday 2PM-3PM, and by appointment
office: 1012 Benedum Hall
email: chaosheng@pitt.edu

TA Information

teaching assistant: Shaoning Han
recitation: Friday 9:00AM-10:50AM, G28 Benedum Hall; 1:00PM-2:50PM, G26 Benedum Hall
office: 1012 Benedum Hall
office hours: Thursday 2-3PM
email: shaoning.han@pitt.edu

grader: Boyuan Lai
email: BOL27@pitt.edu

Communication

Piazza is intended for all future announcements, general questions about the course, clarifications about assignments, student questions to each other, discussions about material, and so on. We strongly encourage all students to participate in discussion, ask, and answer questions through Piazza. Courseweb is used to record your grades.

Email Policy

Do not expect immediate responses to emailed questions. I will try to respond to all emailed questions within 48 hours. For questions regarding the grades of homework, please contact the grader first. For questions regarding the recitations and make-up of quizzes, please contact the TA first.

Course Description

An introductory course in statistics. Topics covered include: data analysis, probability, random variables, selected discrete and continuous probability distributions, one sample and two sample estimation, hypothesis testing, experiments with one factor, and introduction to regression analysis.

Syllabus

Syllabus

Schedule

The following schedule is tentative, it will continuously change based on time constraints and interest of the people in the class. Reading materials and lecture notes will be added as lectures progress.

Date Topics Slides Homeworks Recitations Readings
01/08 Introduction and Descriptive Statistics lecture1 Ch.1
01/10 Probability lecture2 hw1 recitation1, code Ch.2
01/15 Probability lecture3 Ch.2
01/17 Probability lecture4 hw2 recitation2 Ch.2
01/22 Random Variables and Probability Distributions lecture5 Ch.3
01/24 Random Variables and Probability Distributions lecture6 hw3 recitation3 Ch.3
01/29 Mathematical Expectation lecture7 Ch.4
01/31 Mathematical Expectation lecture8 hw4 recitation4, quiz4 Ch.4 - 5
02/05 Some Discrete Probability Distributions lecture9 Ch.5
02/07 Some Discrete Probability Distributions lecture10 no homework recitation5, quiz5 Ch.5
02/12 Review lecture11 Ch.1 - 4
02/14 Exam 1 topics, Sol hw5, hw5Sol no recitation Ch.1 - 4, correlation
02/19 Some Continuous Probability Distributions lecture12 Ch.6
02/21 Some Continuous Probability Distributions lecture13 hw6, hw6Sol recitation6, quiz6 Ch.6, Dist
02/26 Sampling lecture14 Ch.8, random
02/28 Sampling lecture15 hw7, hw7Sol, code recitation7, code, quiz7 Ch.8, CLT, simu
03/05 One and Two-Sample Estimation lecture16 Ch.9
03/07 One and Two-Sample Estimation lecture17 hw8, hw8Sol recitation8, quiz8 Ch.10, MLE
03/12 No class, Spring break
03/14 No class, Spring break
03/19 Review lecture18 Ch.5-9
03/21 Exam 2 topics, Sol survey no recitation piVSci
03/26 One and Two-Sample Tests of Hypothesis lecture19 hw9, data, hw9Sol, code Ch.10, FalseDisco
03/28 One and Two-Sample Tests of Hypothesis lecture20 recitation9, code, quiz9 Ch.10
04/02 Regression lecture21 Ch.11, linearReg
04/04 Regression lecture22 hw10, data, hw10Sol recitation10, quiz10 Ch.11, LinearReg2
04/09 Regression lecture23 Ch.11
04/11 One-Factor ANOVA lecture24 hw11, data, hw11Sol, code recitation11, code, quiz11 Ch.13
04/16 One-Factor ANOVA lecture25 Ch.13
04/18 Review Reveiw
04/26 Exam 3(8-9:50am, G31) topics

Recitations

Quizzes will be taken during the recitation. Each student can make up two quizzes at most for the whole semester. If a student has surpassed this number, then each additionally missed quiz will be counted as a zero in the grade except for extreme cases.

Homeworks

There will be weekly homework assignments for this class. Typically, the homework will be announced by Thursday, and is due by noon on the next Thursday. Homework can either be submitted to the instructor in class or sent to the instructor's mailbox in 1025D, Benedum Hall. Collaboration on solving the homework is allowed, after you have thought about the problems on your own. It is also OK to get clarification (but not solutions) from books or online resources, again after you have thought about the problems on your own. You should write your solution independently.