Probability

Math 20, Fall 2017

Instructor Edgar Costa
Class MWF 12:50 - 1:55
Room Moore B03
x-Hour Tu 1:20-2:10
Office 339 Kemeny Hall
Contact Edgar.Costa AT Dartmouth.edu
Office Hours Monday: 5 pm to 6:30 pm
Tuesday: 4 pm to 5 pm
Wednesday: 4 pm to 5 pm
Thursday: 8 am to 9 am
and by appointment
Tutorial Thursdays 7-8:30 pm, Moore B03
with Laura Petto
Study groups Sundays 3:30pm-5:00pm
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 in-class 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:

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 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.

Textbooks

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.