STAT 344: Probability and Statistics for Engineers and Scientists I

Section 002, Spring 2006

 

 

 

 

 

 

 

 

Web-site:      http://mason.gmu.edu/~irytikov/

 

 

Course Objectives:

This is a first course in applied probability and statistics for engineers and scientists. The emphasis is on developing probability concepts and problem solving skills that are useful in areas of information technology including computer science, electrical and computer engineering, information systems, operations research, statistics, and systems engineering.

 

Textbook:

Jay L. Devore: Probability and Statistics for Engineering and the Sciences, Sixth Edition

Thomson, 2004

 

Grading:

1. Homework (10%): Homework will be assigned every class. Two worst homework grades will be dropped.

2. Four In-Class Quizzes (10% each): The dates will be given in advance. One worst quiz grade will be dropped.

3. Two In-Class Exams (20% each): The dates will be given in advance.

4. Final Exam (20%): The exam is scheduled on May 15 from 7:30 pm until 10:15 pm.

Attendance and Class Participation: Students are expected to attend and be on time for all lectures, and to participate in classroom discussions.

Honor Code:

Please read GMU Honor Code at GMU Honor Code and follow it. You  are allowed to work in groups on  homework. However, each student must submit his/her own work to receive credit. You are required to work alone on tests and quizzes. Any student caught cheating on exams or copying assignments will be turned in to the Honor Committee. Help is always available. See your instructor or TA if you have any problems or concerns.

 

Approximate Schedule:

 

 

 

 

 

 

 

 

 

                                      

                                                                             

 

 

 

 

                                      

 

 

                                      

 

 

 

 

 

 

Time:

M :   7:20 pm –10:00 pm

Place:

S&T II, room 9

Instructor:

Dr. Ioulia Rytikova

Office:

S&T I, room 115

e-mail:

irytikov@gmu.edu 

Office Hours: 

By appointment

Sections

Topic

2.1 – 2.5

Sample Spaces and Events, Axioms of Probability

Combinatorial Methods and their Applications

Conditional Probability, Independence and the Bayes’ Rule

Quiz 1

3.1 – 3.6

Random Variables, Discrete Random Variables

Probability Distributions and Probability Mass Functions

Special Discrete Distributions: Binomial, Hypergeometric, Negative  Binomial, and Poisson

Exam 1

4.1 – 4.4

Continuous Random Variables

Special Continuous Distributions: Uniform, Normal, and Exponential

Quiz 2

5.1, 5.2

Joint Probability Distributions, Covariance and Correlation

Quiz 3

5.3 – 5.5

Sampling Distributions

Exam 2

6.1

Point Estimation of Parameters

7.1 – 7.4

Interval Estimation of Parameters

Quiz 4

8.1 – 8.5

Testing Hypotheses for a Single Sample

9.1 – 9.5

Statistical Inference for Two Samples

 

Final Exam