ENGR 200 Probability and Statistical
Methods for Engineers
Instructor: Fikri Karaesmen, Rm: Eng-104, email: firstname.lastname@example.org, ph: (212) 338-1718.
Lecture: Tuesdays/Thursdays 9:30-10:45, Rm: SOS B10
Office hours: F. Karaesmen Mondays 9.30-10.30, Thursdays 15.30-16.30
Problem sessions: Mondays and Thursdays 17.00 - 18.15, Rm: ENG 120.
Textbook: Introduction to Probability 2nd Ed. by D. P. Bertsekas
and J. N. Tsitsiklis.
Teaching assistants: Zeynep Turgay (ENG Z08,
email@example.com, Tuesday 14.00-16.00) , Can ÷zkan (ENG 218, firstname.lastname@example.org,
Tuesday, Thursday 14.00-15.00) , Eray Varlik (ENG 211, email@example.com, Monday, Wednesday 11.00-12.00 ),
÷nay Batur ( ENG 210, Tuesday, Thursday
, Eray Varlik (ENG 211, firstname.lastname@example.org,
), ÷nay Batur (
Tuesday, Thursday 11.00-12.00
Probability and statistics for engineering and sciences by J. L. Devore. Duxbury Press, 5th ed.
statistics in engineering and management science by W. W. Hines and D. C.
Probability, random variables, and stochastic processes by A. Papoulis. Mc Graw Hill 1984.
probability and statistics for engineers and scientists by Sheldon Ross.
Lecture slides: Available on the webpage of the course.
Topic†††††††††††††††††††††††††††††††††††††††††††††††††††††††††††††† ††† ††††††† ††††††††††† ††††††††††††††††††††††† †B-T .†††
Introduction to probability†††††††††††††††††††††††††††††††††††††††††††††††††††††† ††††††††††† ††††††††††† Ch. 1
Discrete random variables†††††††††††††††††† ††††††††††††††††††††††††††††††††††† ††††††††††† ††††††††††† Ch. 2
Exam 1: Exact time and place TBA
Continuous random variables††††††††††††††††††††††††††††††††††††††††††††††††††††††††††††††††††††††††† Ch. 3
Exam 2: Exact time and place TBA
Further topics on random variables††††††††††††††††††††††††††††††††††††††††††††††††††††††††††††††††† Ch. 4
Limit Theorems†††††††††††††††††††††††††††††††††††††††††††††††††††††††††† †††††††††††††††††††††††††††††††††††††††††††††††
Course webpage: http://home.ku.edu.tr/~fkaraesmen/engr200/
The webpage includes information about the course, instructors, TAs, copies of class notes, examples of previous yearís exams, grades, homework assignments, etc.
Grading: 10% Homework/Quiz, †25% Midterm I, 25% Midterm II, 40% Final, 5% bonus for attendance and participation
Homework/Quiz/Class assignments: Problem sets on the material covered in class will be assigned as homework, almost weekly. Related questions may be asked in pop quizzes, which will be given generally on the due date of the homeworks.
Attendance and participation: Students are expected to attend the lectures and problem sessions and to actively participate in class discussions.
Make-up policy: Make-ups will be given for an exam if a student has a valid excuse for missing the exam.† However, students should note that the make-up exams may be harder than the original exams since the students who take the make-up exams have the opportunity of learning about the questions. Moreover, it is studentís responsibility to contact the instructor timely (within a week from the exam) to prove that s/he has a valid excuse, and to arrange the time and place of the make-up exam.
Honesty and trust are important to all of us as individuals. Students
and faculty adhere to the following principles of academic honesty at
1. Individual accountability for all individual work, written or oral. Copying from others or providing answers or information, written or oral, to others is cheating.
2. Providing proper acknowledgement of original author. Copying from another studentís paper or from another text without written acknowledgement is plagiarism.
3. Study or project group activity is effective and authorized teamwork. Unauthorized help from another person or having someone else write oneís paper or assignment is collusion.
Cheating, plagiarism, and collusion are serious offenses resulting in an F grade and disciplinary action.