Math 5010-001, University of Utah
Fall 2016
Introductory Probability: Course Syllabus

Instructor: Davar Khoshnevisan (Contact Information)
Time/Place: MWF 9:45-10:30 a.m., LCB 215
  • (Mandatory) Introduction to Probability, D. Khoshnevisan and F. Rassoul-Agha
    Download the course notes (Free download)
  • (Strongly recommended) Probability, J. Pitman, Springer, 1993.
  • (Strongly recommended) Basic Probability Theory, R. B. Ash, Dover, 2008; you can download this book at no cost from here.
Description: This is a first course in undergraduate probability. It requires a solid knowledge of Calculus (I, II, III), and covers standard material such as combinatorial problems, random variables, distributions, independence, conditional probability, expected value and moments, law of large numbers, and the central limit theorem. This course is three credit hours. It serves as a QRQI course (quantitative reasoning-Math, quantitative reasoning-statistics/logic, and quantitative intensive-BS). (Warning Warnings)
Important Dates:
  • Last day to drop: September 2
  • Labor Day Holiday: September 5
  • Fall Break: October 9-16
  • Last day to withdraw: October 21
  • Thanksgiving Break: November 24-25
  • Classes end: December 8
Attendance: Attendance is mandatory, and checked on random days and times. Students who have missed, or were tardy for, more than 4 lectures will receive an "E" for their final grade.
Grading: A requirement for passing this course is to have a good attendance record; see above. The grades of the students who have a passing attendance record is based on the results of five non-comprehensive exams (16.25% each for four exams; the lowest grade is dropped) and a comprehensive final exam (35% of the total grade).
Math 6805: Math 6805 students will be held to a higher standard of grading than those in 5010.
Exams: There are five non-comprehensive exams and a comprehensive final in this course. There are no make-up examinations in this course.
All exams are held in the lecture hall. The exam dates are:
Assignments: Assignments are posted below. New assignments are announced during the lectures. Homework is neither collected, nor graded; you should follow them in order to be ready for the exams. The homeworks are generally a mixture of theoretical (theorem/proof; about 30% of the time), and computational problems. The assignments come with due dates to help you keep up with the pace of the course. The only way to keep up with the pace of this course is to solve, at the very least, the assigned homework problems in a timely fashion.

Seeking Help: To find help, the students are encouraged to visit the instructor during the designated drop-in office hour (web link), or schedule an appointment (web link).

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