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:
- 1st midterm exam: Thursday, April 21, 7-9pm, Silsby Room 028
- 2nd midterm exam: Thursday, May 12, 7-9pm, Silsby Room 028
- Final exam: Friday, June 03, 2016 8-11 am, Kemeny 007
- Some old exams from other instructors
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.