Texas A&M University – Spring 2014
Math 419 – Applications of Actuarial Science
Section 500
Instructor Information
Name
Ms. Rashi Arora
Office
BLOCKER 208
e-mail*
rashiarora15@tamu.edu
Office hours
Wed : 8-9 am ; 5-6 pm , or by appointment
Webpage* *
www.math.tamu.edu/~rashi.arora
*Please check your email regularly. You are responsible for any information sent
via email. When you send an email, please include your Full Name, and Course
Number (Math 419) in the message.
**Please check my webpage regularly. All the announcements and
necessary documents would be posted here.
Class, Textbook and Homework
Class (Time & Place)
TR 2:20 – 3:35 pm; CE 222
Webassign (Online Homework)
https://www.webassign.net/tamu/login.html
Ross, Sheldon. A First Course in Probability
Carr and Gauger. BPP SOA Exam P/CAS Exam 1 Course
Notes: Probability – An Introductory Guide for Actuaries
and other Business Professionals, 4th edition, BPP
Professional Education. (This study manual can be
purchased for $64 online at
www.actuarialbookstore.com.)
Recommended Texts
Graphing Calculator
TI-30XS Multiview Calculator (no exceptions).
Grading Scheme
Online Assignments (A)
50%
In-class Quizzes (Q)
20%
In-class Practice Exams
20%
Class
Participation/Attendance
10%
Letter Grade
A = 90-100% ; B = 80-89% ; C = 70-79% ;
60-69% ; F < 60%
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D =
Texas A&M University – Spring 2014
Course Description and Prerequisites: CREDIT : 2.0. Applications of Actuarial
Science - Applications of actuarial science using mathematical and statistical
methods to assess risk in the insurance and finance industries; emphasis on
probability, statistics, finance, and economics; focus on using probabilistic models in
the estimation of insurance premiums. May be taken 2 times for credit. Prerequisite:
MATH 411 or STAT 414.
Course Objectives: The goal of this course is to prepare students for Society of
Actuaries Exam 1/P. Upon completion of this course, students will have gained a
deeper understanding and practice in applications of probability, conditional
probability and Baye's Theorem, common discrete and continuous random variable,
joint distributions, expectation, moment generating functions, and transformations
and limits.
Online Assignments: All students will be required to purchase access to
WebAssign for completion of online homework assignments. Homeworks will usually
be due on Sundays, and students will have two attempts for each question.
During the last two weeks of the course, students will compelte four practice exams
in WebAssign. Each will consist of 10 questions from previous actuarial exams, and
there will be a 60-minuts time limit. Only one attempt per question is allowed.
In-class Quizzes: Announced and unannounced quizzes will be given throughout
the semester during the lecture. Each quiz will be cumulative, meaning that
students could be tested over any material covered before the day of a quiz.
In-class Practice Exams: During the last few weeks of the course, students will be
given in-class practice exams that will consist of five or six questions to be
completed in 30 or 36 minutes. Dates for these practice exams can be found on the
tentative weekly schedule at the end of this syllabus.
Class Participation and Attendance: One hundred points will be awarded for
class participation and attendance, and the final score in this category will count as
10% of the overall course average. Attendance is mandatory, and the roll will be
taken at each class period. Although missing class is highly discouraged, each
student will be allowed one unexcused absence. Each additional unexcused absence
will result in a 30-point deduction in the class participation grade. To receive full
points for class participation, students are expected to attend class each day, take
notes, practice using their calculators as the instructor goes through practice
problems, and contribute to class discussion.
Mobile Phones and Laptops: Please keep your mobile phones OFF or on SILENT,
so that the class is not disturbed if the phone goes off. Please do NOT turn on your
laptops (or any other electronic devices) during the class unless asked to do so. It
may distract the other students and disrupt the class.
Scholastic Dishonesty: Copying work done by others, either in-class or out of
class, is an act of scholastic dishonesty and will be prosecuted to the full extent
allowed by University policy.
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Texas A&M University – Spring 2014
"An Aggie does not lie, cheat, or steal or tolerate those who do."
Please refer to the Honor Council Rules and Procedures, available at the Office of
Aggie Honor System for more information. ( http://www.tamu.edu/aggiehonor).
Make-up policy: Make-ups for exams will be given only if the student can provide
a documented University-approved excuse (http://student-rules.tamu.edu/).
Students are required to notify the instructor in writing (acknowledged email
message is acceptable) by the end of the second working day after missing an
exam. Otherwise, the student loses his/her right to a make-up.
Copyright policy: All printed materials disseminated in class or on the web are
protected by copyright laws. One copy (photocopy or download from the web) is
allowed for personal use. Multiple copies or sale of any of these materials is strictly
prohibited.
Students with Disabilities: The American with Disabilities Act (ADA) is a federal
anti-discrimination statute that provides comprehensive civil rights protection for
persons with disabilities. Among other things, this legislation requires all students
with disabilities be guaranteed a learning environment that provides for reasonable
accommodation of their disabilities. If you believe you have a disability requiring an
accommodation, please contact Disability services, in Cain Hall, Room B118, or call
845-1637. For additional information, visit
http://disability.tamu.edu
Tentative Schedule:
• Week 1: Probability & conditional Probability
• Week 2: Random Variables
• Week 3: Common Discrete Random Variables
• Week 4: Continuous Random Variables
• Week 5: Common Continuous Random Variables
• Week 6: Joint Distributions
• Week 7: Expectation
• Week 8: moment Generating Functions
• Week 9 : Spring Break
• Week 10: Transformation and Limits
• Week 11: Order Statistics
• Week 12: Practice Exams 1 & 2
• Week 13: Practice Exams 3 & 4
• Week 14: Miscellaneous
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