Probability - Mathematics 20, Spring 2016

Scheduled Lectures and Instructors

Instructor Edgar Costa
Class MWF 11:15 - 12:20
Room Kemeny 108
x-Hour Tu 12:00-12:50
Office 339 Kemeny Hall
Contact edgarcosta AT math.dartmouth.edu
Office Hours Tu 11:00 - 1:00
F 12:20 - 1:20
and by appointment
Study Group Tu, Thrs 07:00 - 09:00 pm
Kemeny 004
Homework and Lecture Plan here

Grading

The course grade will be based upon on weekly homework (20%), two midterms (25% each) and a final exam (30%).

Plagiarism, collusion, or other violations of the Academic Honor Principle, after consultation, will be referred to the The Committee on Standards.

Exams

There will be two in-class "midterm examinations" and an in-class final examination. These will not be during the regular class times.

Do not make plans to leave Hanover before the end of the final exam week . The exams will not be given earlier to accommodate your travel plans. The exams are scheduled as follows:

Homework

The homework assignments will be assigned on a weekly basis and will be posted here: here . Homework is due in one week; no late homework will be accepted.

Please follow the homework submission guidelines.

Cooperation on homework is permitted (and encouraged), but if you work together, do not take any paper away with you--in other words, you can share your thoughts (say on a blackboard), but you have to walk away with only your understanding. In particular, you must write the solution up on your own. Please acknowledge any cooperative work at the end of each assignment.

Textbook

Introduction to Probability, second revised edition, by Charles M. Grinstead and J. Laurie Snell

This book and answers to odd-numbered problems are available for free: http://www.dartmouth.edu/~chance/.
This book is also available from Wheelock Books.

ORC Course description

This course will serve as an introductions to the foundations of probability theory. Topics covered will include some of the following: (discrete and continuous)random variable, random vectors, multivariate distributions, expectations; independence, conditioning, conditional distributions and expectations; strong law of large numbers and the central limit theorem; random walks and Markov chains.

Prerequisite:

Mathematics 8

Disabilities

Students with learning, physical, or psychiatric disabilities enrolled in this course that may need disability-related classroom accommodations are encouraged to make an office appointment to see your instructor before the end of the second week of the term. All discussions will remain confidential, although the Student Accessibility Services office may be consulted to discuss appropriate implementation of any accommodation requested. At such a meeting please provide your instructor with a copy of a disability registration form, which lists the accommodations recommended for the student by Student Accessibility Services within the Academic Skills Center. The person you might want to contact at the Academic Skills center is Ward Newmeyer, Director of Student Accessibility Services 205 Collis Center - (603) 646-9900.

Student Religious Observances

Some students may wish to take part in religious observances that fall during this academic term. Should you have a religious observance that conflicts with your participation in the course, please come speak with your instructor before the end of the second week of the term to discuss appropriate accommodations.