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IENG 362
Stochastic Models


Instructor: S. Kellogg
Objectives: After completing this course, students should be able to utilize quantitative techniques in Operations Research to solve practical problems in Industrial Engineering.
Prerequisite: Math 381 or permission of the instructor.
Time/Place:

M, W, F  9:00 9:50
CB 110

Text: Introduction to Operations Research, 9th ed., Hillier & Lieberman, McGraw-Hill, 1995.
Office: Lib 148
394-6152
Hours: M, W, F, 10:00-12:00
by appointment
Grading: Exams(3) 85%
Homeworks 15%

   90-100%    A        
   80-89%      B      
   70-79%      C      
Intellectual Diversity Freedom in learning.  Students are responsible for learning the content of any course of study in which they are enrolled. Under Board of Regents and University policy, student academic performance shall be evaluated solely on an academic basis and students should be free to take reasoned exception to the data or views offered in any course of study. Students who believe that an academic evaluation is unrelated to academic standards but is related instead to judgment of their personal opinion or conduct should contact the dean of the college which offers the class to initiate a review of the evaluation.
ADA Students with special needs or requiring special accommodations should contact the instructor and/or the campus ADA coordinator, Jolie McCoy, at 394-1924 at the earliest opportunity. 
Electronic Devices Please turn off your cell phone before class starts. No text messaging in class. No headphones. Students may download a hardcopy of the lecture notes before class or they may access course notes electronically via DyKnow during class.  Dyknow may be used at times to restrict access to pertinent course material.  Any attempt to circumvent the DyKnow monitoring system will be considered a form of cheating and a breach of academic integrity (refer to Academic Integrity policy in catalog).
   


Grades of less than C available on request. Homework assigned during a given week will be due on the first class session the following week except when otherwise noted. Homework that is one week late will be graded at 50%, two weeks late or over will not be graded. There will be no retesting of exams. Makeup exams will be granted for absences due to school related activities provided it is cleared with the instructor prior to the exam date. Makeup exams will also be granted for valid medical reasons.