IE 415
SIMULATION AND DECISION SUPPORT SYSTEMS
COURSE SYLLABUS
Summer 2015
INSTRUCTOR:
Faisal Alfayez.
345 Batcheller Hall
E-mail: faisalsaud81@gmail.com
OFFICE HOURS:
M,W 12:30-2 PM and by appointment
CLASS SCHEDULE:
4 Credit Hours
Lecture (Rogers 332): M,W 10:00-11:50 AM,
Lab sections (Rogers 336):
M 2:00-3:50PM
Labs start week 1. No labs in week 8.
COURSE WEB PAGE:
PREREQ:
http://web.engr.oregonstate.edu/~alfayezf/IE415/
STAT 314 or equivalent, Programming experience
REFERENCES:
 Kelton, W.D., Sadowski, R.P. and N.B. Swets, (2010). Simulation With Arena 5th Edition,
McGraw-Hill Inc.
 Law, A.M. and W.D. Kelton, (2000). Simulation Modeling and Analysis 3rd Edition, McGrawHill Inc. On reserve.
 Banks, J., Carson, J.S., Nelson, B.L., Nicol, D.M., (2010). Discrete Event System Simulation 5th
Edition, Prentice Hall. On reserve.
 Arena online books, Crystal Ball online documentation – MIME lab computers.
COURSE DESCRIPTION:
Analysis of operations and production systems through the application of computer simulation
modeling techniques. Fundamentals of computer simulation including random number
generation, input/output data analysis, model validation and verification.
COURSE LEARNING OUTCOMES:
Students successfully completing this course should be able to:
1. Identify different types of simulation models (e.g., stochastic-dynamic, Monte Carlo) and give
examples of situations or problems where they are appropriate.
2. Apply Monte Carlo simulation to enhance spreadsheet models.
3. Identify the basic steps that are used in a simulation project.
4. Demonstrate how to use raw data to specify simulation input parameters.
5. Explain (to one experienced with simulation) the basic operation of most discrete event
simulation computer languages and fundamental simulation concepts.
6. Explain the most common method for generating random numbers and random variates.
7. Explain and demonstrate the need for statistical analysis of simulation output.
Additionally, students completing IE 515 should be able to
1. Conduct more extensive analytical analysis of issues arising in simulation such as the derivation of inverse
transform equations, and analysis of steady state performance measures.
GRADING POLICIES:
1.
2.
3.
4.
Mid-term Exam (7/15/2015)
25%
Final Exam (Wednesday 8/12/2015
10:00-11:50AM)
35%
Lab Exams (Week 4 lab, Week 8 lab)
20%
Homework/Lab Assignments
(12-14 Labs/HW)
15%
Class Participation (includes information
sheet if applicable)
5%
Midterm and final exams will be open-book (and open- note) for this course. You are permitted to
bring any written material to class you wish (no laptops, tablets, or electronic communication
devices will be allowed), but sharing material during the exam with other students in class will
not be allowed. Exams will stress the application of many of the techniques discussed in class,
and in most cases will be based on the homework and lab assignments, in-class exercises, and
class examples. On each exam there will be one question that will differ for IE 415 and IE 515
students. The final exam will be cumulative.
Lab exams will be held in the lab classroom during weeks four and nine. These exams will test
your modeling skills developed in the prior lab sessions. The first lab exam will test Monte Carlo
simulation modeling, and the second exam will test dynamic simulation modeling. These exams
are open book and notes (paper and electronic), and open internet, however the exams must be
completed individually with no aid/communications from/with another person except the lab TA.
Homework will be assigned as class progress dictates (4-6 total assignments). There will be seven
lab assignments (each assignment to be turned in at the end of each lab session). Each homework
and lab assignment will be graded on a ten point scale. Each assignment will be worth the same
credit towards the final grade. Homework is to be turned in at the beginning of class. Late
homework will be penalized 20%. Group work on homework and studying for exams is
encouraged but note that in-class exams make up 60% of the grade so everyone should do or
understand how to solve each problem. Some additional questions may be added to the
homework assignments for IE 515 students. Labs will often be completed in pairs so make sure
that both members of a pair understand all aspects of each lab.
Lab Attendance. You must attend the lab section that you are registered for, and lab attendance
will be taken. Switching labs may be approved on a case by case basis by the TAs and instructor.
5.
Grades will be assigned using the following scale:
92 or above
A
89-92
A-
86-89
B+
82-86
B
79-82
B-
76-79
C+
72-76
C
69-72
C-
59-69
D
Additional Requirements for IE 515
It is Oregon State University policy that when a graduate course is dual-listed with an undergraduate
course (e.g., IE 4xx/5xx) students taking the graduate course should receive additional education and
training and must be held to higher standards of performance than students taking the undergraduate
course.
Students taking IE 515 will have additional homework questions assigned in addition to what is required
of IE 415 students. These questions will explore certain topics in more depth and will emphasize
analytical approaches where possible.
On exams, there will be one question for IE 515 students that will differ from that given to IE 415
students. This question will be based on extra assigned homework or reading given to IE 515 students.
In addition, when grading and assigning points to student work (e.g., assignments, answers to exam
questions), the instructor will hold graduate students to higher standards of originality, accuracy,
completeness, justification, and presentation than undergraduate students.
SPECIAL NEEDS:
Students with documented disabilities who may need accommodations, who have any emergency medical
information the instructor should know of, or who need special arrangements in the event of evacuation,
should make an appointment with the instructor as early as possible, no later then the first week of the
term.
Accommodations are collaborative efforts between students, faculty and Disability Access Services
(DAS). Students with accommodations approved through DAS are responsible for contacting the faculty
member in charge of the course prior to or during the first week of the term to discuss accommodations.
Students who believe they are eligible for accommodations but who have not yet obtained approval
through DAS should contact DAS immediately at 737-4098
ACADEMIC INTEGRITY:
Academic dishonesty is prohibited and considered a violation of the OSU Student Conduct Regulations. If you have
a question regarding academic integrity, please talk to the instructor or refer to the OSU student conduct homepage
at http://oregonstate.edu/studentconduct/code/index.php#acdis.
COURSE SCHEDULE:
A high level outline of the material covered this term and the corresponding reading in the Kelton, Sadowski, and
Swets reference:
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Introductory lecture – Chapter 1.
Probability and Statistics Review – Appendix B,C.
Monte Carlo Simulation – No text coverage.
Fundamental Simulation Concepts – Chapter 2.
Discrete Event Simulation – Chapter 2.
Input Data Analysis. Section 4.6
Output Analysis Section 5.2.5, 6.1-6.4, 7.2
Verification and Experimentation – Sections 13.6, 13.7.
Randomness in Simulation – Chapter 12.
Lab References
 Labs 1-3: Crystal Ball online documentation
 Labs 5-8: Text – Chapters 3,4,5, Section 7.1