Yuhong Yang
376 Ford Hall
Email: yyang@stat.umn.edu; Phone: 612-626-8337
MW 1:30-3:00
Yunan Wu
467 Ford Hall
Email: wuxx1375@umn.edu
Phone number: 952-855-3159
Office hour (350 Ford Hall): Th 10:00 - 12:00
Guangming Liu
Email: liux3465@umn.edu
https://ay15.moodle.umn.edu/course/view.php?id=13202
Probability and Statistics for Engineers and Scientists, by Walpole, Myers, Myers, Ye, 9th edition, Prentice Hall.
This course will start with an introduction of probability, including interpretations of probability, axioms of probability, and the use of counting methods for solving probability problems, conditional probability, Bayes theorem, independence, random variables and distributions, expected values, the binomial, Poisson, normal and other distributions, the law of large numbers, and the central limit theorem. Then we will cover applications of the above to the theory of statistical inference, including estimation, confidence intervals, and hypothesis tests.
Two midterm exams: 40%; Homework: 15%; Class participation/quizzes: 15%; Final Exam: 30%
Homework will be assigned on a weekly basis and it is due on Tuesdays in lab sessions. No late homework will be accepted without official excuse. The lowest homework score will be dropped. Only part of the assigned problems will be graded, but solutions for all the problems will be provided. It is fine for students to work together on homework problems, but write-up of the solutions MUST be done independently.
Students are expected to attend all the lectures/lab sessions and arrive on time. Five-minute class participation quizzes or mini-projects will be given on random dates either in the beginning, middle or the end of the meetings. The lowest score will be dropped. No make-up will be arranged.
Midterm 1, Friday, March 4, 2016
Midterm 2, Friday, April 8, 2016
Final Exam, Friday, May 13, 2016, 1:30-3:30pm
Make-up exams will not be arranged without compelling reasons such as emergency medical conditions and family emergencies (proper documents must be submitted). If an exam date above overlaps with another exam you have or you have three final exams in a 16 hour period, you need to inform the instructor and resolve this by the first 3 weeks of class. In the exams, you may use standard calculators.
University and department policy is that ``I'' grades are used only when there is a small amount of unfinished work that the student can complete on his or her own before the end of the following semester, when there was a legitimate excuse why the work could not be done on time, and when arrangements have been made with the instructor as to when the work will be done. ``I'' grades are not given when there is a large amount of work undone and the student would need to attend the class in the next semester to learn the material.
Academic integrity is essential to a positive teaching and learning environment. All students enrolled in University courses are expected to complete coursework responsibilities with fairness and honesty. The following definition of student academic integrity and scholastic dishonesty is slightly modified from the webpage of the University's Office for Student Conduct and Academic Integrity, http://www.oscai.umn.edu:
Scholastic dishonesty means plagiarizing; cheating on assignments or examinations; engaging in unauthorized collaboration on academic work; taking, acquiring, or using test materials without faculty permission; submitting false or incomplete records of academic achievement; acting alone or in cooperation with another to falsify records or to obtain dishonestly grades, honors, awards, or professional endorsement; altering, forging, or misusing a University academic record; or fabricating or falsifying data, research procedures, or data analysis.
All School of Statistics teaching faculty are instructed to refer students who violate the policy for academic honesty and dishonesty to the Office of Student Conduct and Academic Integrity. A student responsible for scholastic dishonesty can in addition be assigned a penalty up to and including an F or N for the course.