Lecture: M, W, Th: 10:00am
– 10:50am (CC-53)
Lab: Tuesdays: 10:00am
– 11:50am (CC-35)
Instructor: Dr. Jeffrey Blessing
E-mail: blessing@msoe.edu
Web: http://www.msoe.edu/~blessing/cs470
Office: CC-27a
Hours: M, W, Th, F: 11:00am – 11:50am,
Tu, Th: 2:00pm
– 2:50pm, and by appointment
Phone: 277‑7194 (also voice-mail)
Text: (Recommended only)
Simulation: A Problem-Solving
Approach, by Hoover and Perry, Addison-Wesley, 1990.
Description: This course introduces students to modeling and
simulation of continuous and discrete-event engineering systems. The course
topics also include computer simulation of communication and computer networks.
Applications of artificial intelligence methods such as expert systems, neural
networks, and fuzzy logic are discussed, as is the use of parallel processing
in computer simulation. In the laboratory portion of this course, the student
develops computer models for engineering systems.
Prerequisites: CS-381 Numerical Methods
EE-370 Control Systems
MA-262 Probability and Statistics
Grading: Programs 40%
Quizzes (weekly) 30%
Final (week 11) 30%
No incomplete grades or makeup exams will be given
(without very extenuating circumstances)
Attendance: Although not reflected in the grading for this course, attendance
is strongly encouraged. If chronic
absenteeism is a problem, attendance will be taken. Exam and quiz material will come from both the text and class
discussions. Students will NOT be
automatically dropped from the roster if 3 successive classes are missed.
Late Policy: Assignments are due at the beginning of the class period that was
designated as their due date. A 10%
penalty will be assessed for each day an assignment is late.