Date Pages Topics
Assignment Due
Notes
8/29 3-73 Introduction;
Syllabus
See web site about CD
9/3 77-98 Getting
Started
Pro Model Demo
9/5 339-361 Distributions &
Random Numbers
Get Hand Simulation
9/10 141-151 Model Building I
Teams
9/12
Hand Simulation Laboratory
Teams of two
9/17 395-434 Introduction to Promodel
Hand Simulation
9/19 99-139 Data collection
L3.4-1 a to e
9/24 99-139
and Analysis
L4.5-1
9/26 437-442 Use of Stat::Fit
5.14-19 and > What if a
= .25, .01?
10/1 151-170 Model Building II
L5.5-2, -3 and > Comment on WHY
10/3 445-465 Model
10/8 445-465 Concepts
6.7-23 and > Look at -22
also
10/10 173-190 Verification
L6.11-1, -2 > Compare answers
10/17 471-478 and Validation
10/22
Mid-term Exam
10/24 193-218 Simulation
10/29 193-218 Output
10/31 479-486
analysis
Happy Halloween
11/5 221-249 Comparing
L8.4-3
11/7 489-492
Systems
11/12 251-272 Optimization
L9.2-1
11/14 495-514 Simrunner
11/19 515-546 Intermediate Modeling
L10.4-1
11/21 275-296 Manufacturing
Systems
11/26 299-320 Material Handling
Systems
12/3 549-563 Material Handling
Systems
12/5 569-597 Additional Modeling
Concepts
L11.13-2
12/10
Review
L11.13-2 Pick up
Take Home
12/16
Noon - Take home due; in-class final
-
GRADING
Grading will be 90-80-70-60 out of a possible 250 points. 12
assignments at 10 points each, a
mid-term at 50 points, take-home portion of final at 50 and the in-class
portion at 30 points.
Some leeway for the subjective nature of partial credit may loosen,
never tighten, this grading
scale.
GENERAL
The above schedule and procedures are subject to change in the event
of extenuating
circumstances. Any student with difficulty in meeting these requirements
should contact the
instructor as soon as possible for an attempt to resolve the difficulty.
This especially includes any
scheduled absences due to interviews or plant trips (not another course.)
The student is expected to have met the published pre-requisites for
this course. A student who
has not met the pre-requisites should immediately contact their academic
advisor.
GOALS
The major goal of this course is to introduce the student to techniques
of discrete event simulation
including both modeling aspects and the statistical analysis and design
of such problems.
Secondary goals are usage of experimental design, system abstraction,
and presentation
techniques including an introduction to animation using an advanced
graphical simulator.
Detailed objectives may be found on the department web-site.