Department of Architecture, Engineering, & Technology
West Campus Building 9 room 140 – 407.582.1902
EGN 2440 – Probability & Statistics for Engineers
Probability and Statistics for Engineers and Sciences, 8th Ed., Jay
L. Devore
Textbook:
Textbook ISBN-10: 0-538-73352-7
Textbook ISBN-13: 978-0-538-73352-6
Instructor:
Prof. M. Kar
Office:
West Campus, Bldg. 11 – Room 259
Phones:
(Office) 407-582-1182
Email:
mkar@valenciacollege.edu
Office Hours: Monday / Tuesday/ Wednesday/ Thursday: 9:00 AM to 10:00 AM
Tuesday / Thursday: 1:00 PM to 1:30 PM
Monday / Wednesday: 11:30AM to 1:00 PM
Friday: 9 AM to 11:00 AM (on-line)
Tuesday: 8 PM to 9 PM (on-line)
MAC 2312 – With a grade of C or better.
Prerequisite:
Course Objectives:
Topics include axioms of probability, measures of location and
dispersion, sampling and sampling distributions, estimations and tests of hypotheses, probability
distributions, combinatorial and geometrical probability, and engineering applications
Grading Policy:
In-class-activity
Quizzes1
Tests 1-31
Final2
Total
1
2
Disclaimer:
5%
10%
60%
25%
100%
90 - 100%
80 - 89%
70 – 79%
60 - 69%
below 60%
=
=
=
=
=
A
B
C
D
F
No make-up tests and quizzes will be given.
Final Exam may be comprehensive.
Changes in syllabus and/or schedule may be made at any time during the
term by announcement from the instructor
Notes:

Students are strongly encouraged to try the provided list of recommended problems.
This selection may not give you sufficient practice. Consider your own level of
understanding, and practice additional problems as needed.

Even though most of the course material is from the textbook, the lectures may or may
not necessarily follow the text word-by-word. Therefore, it is the student’s
responsibility to be in class and take notes. Exams will cover all material covered in
class, Assignments and recommended problems.
Course Outcomes:
The student will be able to:
 present graphical and numerical methods for exploring, summarizing, and describing data
 understand probability concepts and recognize how they should be applied to solve
engineering problems.
 learn the fundamentals of discrete random variables, its probability distribution, and
corresponding numerical descriptive measures and how they can be used to solve
practical problems
 distinguish between continuous and discrete random variables and their respective
probability distributions; to apply some useful continuous probability distributions to
solve practical problems
 learn various concepts and analysis of probability distributions and sampling distributions
 learn concepts of statistical estimation, their use in practical samplings involving one
sample
 learn concepts of a statistical test of a hypothesis and their use in practical sampling
situations
 learn the basic concepts of simple linear regression analysis predicting future situations
based upon the known variables/parameters
Important Dates:
Monday, Jan. 19th
Feb 13th
March 9th – 15th
Friday, March 27th
April 27th to 30th
May 4th
College is closed
College is closed
Spring Break
Withdrawal deadline for “W” Grade
Final Exam
Grades are due
Tests:
Test#1
Test#2
Test#3
Chapters 1 and 2
Chapters 3 and 4
Chapters 5, 6, and 7
Test/Quiz policy:
1. Circle all test answers for credit. Show all your work for full grade. Simply written down
answers will not be given any credits and receive a grade of “0” (zero).
2. All tests and quizzes are closed book and closed notes.
3. There is no “dropped” test score.
4. No Make-up for tests/quizzes. (unless special circumstances as agreed to by Instructor).
5. Missing 2 tests will result in withdrawal.
6. The Final Exam is required. Failing to take the final exam will result in overall grade “F”.
Quizzes:
Quizzes (15 min.) will be given at the beginning of the class. You'll miss the quiz if you come
late. Check the class schedule for the tentative dates.
Assignments will not be graded (posted in BlackBoard) and solution will be posted in
BlackBoard.
Class Room Policies:
1. More than three un-excused absences and you may be withdrawn from the class (advance
notice of absence is appreciated)
2. It is the student’s responsibility to find out what was covered in class if absent.
3. It is the student’s responsibility to withdraw from the course. Any withdrawal after the
withdraw deadline could result in “F”.
4. You are encouraged to ask relevant questions during class.
5. Grades will not be disclosed over the telephone or via e-mail, except through your Atlas
account.
6. This course is not about your ability to use a calculator! It is about to excel and improve your
abilities to correctly and properly think, analyze, process, and solve real problems as a future
engineer.
7. Storing formulas, problems, notes, etc. in the calculator is considered cheating. The professor
reserves the right to inspect the memory of the student’s calculator at any time during the
semester. If inappropriate information is found stored in the calculator during a quiz/exam, the
student will receive a grade of “F” for that particular quiz/exam.
8. Cheating is prohibited. If any student is caught cheating, the Instructor has the right to
withdraw the student from the class and recommend expulsion from the program.
9. Classroom behavior will be governed by the “Student Code of Classroom Conduct”.
10. Students with disabilities who qualify for academic accommodations must provide a letter
from the Office for Students with Disabilities and discuss specific needs with the Instructor,
preferably during first 2 weeks of class. The OSD office determines accommodations based on
appropriate documentation of disabilities (SSB-102 ext. 1523).
11. Beepers and cellular phones must be turned OFF or put on silent mode during the class.
Class schedule:
The following is a tentative schedule based upon class needs. The Instructor
reserves the right to make any schedule changes necessary.
Date
01/13/15
01/15/15
01/20/15
01/22/15
01/27/15
01/29/15
02/03/15
02/05/15
02/10/15
02/12/15
02/17/15
02/19/15
02/24/15
02/26/15
03/03/15
03/05/15
03/17/15
03/19/15
03/24/15
03/26/15
03/31/15
04/02/15
04/07/15
04/09/15
04/14/15
04/16/15
04/21/15
04/23/15
04/30/15
Lecture on
Chapter 1
Chapter 1
Chapter 2
Chapter 2
Chapter 2
Chapter 2
Chapter 2
Chapter 3
Chapter 3
Chapter 3
Chapter 4
Chapter 4
Chapter 4
Chapter 4
Chapter 5
Chapter 5
Chapter 6
Chapter 7
Chapter 7
Chapter 7
Chapter 8
Chapter 8
Chapter 8
Chapter 9
Chapter 9
Quiz / Test
Quiz / Activity
Quiz / Activity
Quiz / Activity
Quiz / Activity
Quiz / Activity
Quiz / Activity
Test # 1
Quiz / Activity
Quiz / Activity
Quiz / Activity
Quiz / Activity
Quiz / Activity
Quiz / Activity
Quiz / Activity
Test # 2
Quiz / Activity
Quiz / Activity
Quiz / Activity
Quiz / Activity
Quiz / Activity
Test # 3
Quiz / Activity
Quiz / Activity
Quiz / Activity
Quiz / Activity
Quiz / Activity
Final Exam