Instructor  Edgar Costa 

Class  MWF 12:50  1:55 
Room  Moore B03 
xHour  Tu 1:202:10 
Office  339 Kemeny Hall 
Contact  Edgar.Costa AT Dartmouth.edu 
Office Hours 
M: 5:30  7+ pm
Th: 8  9 am and by appointment 
Tutorial 
Thursdays 78:30 pm, Moore B03
with Laura Petto 
Study groups 
Sundays
3:30pm5:00pm
with Katherine Royce Sign up here! 
Lecture Plan  here 
Homework assignments  here 
Slides  here 
General Information
Grading
The course grade will be based upon on weekly homework (100 points), three in class midterms (80 + 80 + 80 points) and a final exam (160 points).
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 three inclass midterms held at the regular class times, and final exam.
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:

Midterms in class:
 Monday, October 2, 2017, regular class time.
 Monday, October 16, 2017, regular class time.
 Monday, October 30, 2017, regular class time.

Final exam:
 Monday, November 20, 2017, 36pm, TBA
 Some old exams from other instructors
Homework
Written homework will be assigned weekly and will be posted on the homework page. Homework is to be turned in at the beginning of the class.
No late homework will be accepted. However, your lowest homework score will be dropped.
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 youin 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.
Textbooks

Probability: For the Enthusiastic Beginner, by David Morin.
This book is also available from Wheelock Books or online (for example Amazon)

Introduction to Probability, second revised edition, by Charles M. Grinstead and J. Laurie Snell.
This book and answers to oddnumbered 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 disabilityrelated 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) 6469900.
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.