Instructor: |
Dr. Harold Camp |
Phone: |
(703) 585-7745
(with voice mail) |
E-mail: |
|
Office Hours: |
Thursdays� before and after class, others by
appointment |
Course
Description: |
203 Systems
Modeling Laboratory (1:0:3) Corequisite: SYST 202. Introduction to
computer modeling using an engineering modeling environment such as MATLAB.
Solution to systems of linear equations, numerical integration and
differentiation, interpolation and curve fitting, solution of ordinary
differential equations. Simulation and numerical solution of continuous
dynamic systems. Discretization of continuous time systems. Use of built-in
functions and construction of macros. Graphical presentation of results. |
Text: |
|
Grades: |
20% - Group Project:
�
Define the Project & Modeling Plan �
Build the Model and Execute the Plan �
Results and Interpretation of Results 40 % - Laboratory
Reports 15 % - Mid Term
Exam 25 % - Final
Exam |
Group Project
The Group Project is one focal point of student effort within this
course.� The majority of effort toward
the group projects will be expended outside of class, with class time being
reserved for reporting on activities. Each group of four students will select a
complex system, plan a modeling activity with specific goals, build the model,
execute the plan, and interpret the results with. Criteria and guidance for
these activities will be given in class. Each group will present their project
to the class.
Examinations:
Examinations are comprehensive over the work performed during the course
and the course lecture material. Examinations will be open book and open notes
since the examinations will test you on the application of principles learned.
You will be expected to interpret the material of the course, not to repeat it
via rote memory. The examinations are intended to enhance the student�s
classroom experience and challenge the student to correctly apply the course
material. Examinations are not designed to punish the student.
CLASS SCHEDULE � Updated on
Week 1, |
26
January |
�
Guest Lecturer � Dr. J. Shortle �
Introduction to MATLAB |
Week
2>� |
2 February |
� Lecture:
Introduction to Solving Dynamic Systems � Laboratory:
Parachute � Groups: Form
and Organize Groups |
Week
3> |
9
February |
� Lecture:
Displaying, Labeling, and Interpreting Results � Laboratory:
Parachute |
Week
4> |
16
February |
� Lecture:
Numerical Integration and Differentiation � Laboratory:
Ballistic Trajectory |
Week
5> |
23
February |
� Lecture:
Interpolation and Curve Fitting � Laboratory:
Determination of Accuracy of Numerical Integration |
Week
6> |
2 March |
� Lecture:
Systems of Linear Equations. � Laboratory:
Solve 3 X 3 Systems of Equations |
Week
7> |
9 March |
� Mid-Term
Exam |
Week
8> |
16 March |
� Spring
Break |
Week
9> |
23 March |
� Lecture:
Solution of Ordinary Differential Equations � Laboratory:
Mechanical Spring and Dashpot System � Groups:
Turn in Project Definition |
Week 10> |
30 March |
� Lecture:
Simulation and Numerical Solution of Continuous Dynamic Systems � Laboratory:
Electronic System, |
Week 11> |
6 April |
� Lecture:
Discrete systems and discretization � Laboratory:
Population Model � Groups:
Turn In Modeling Plan |
Week 12> |
13 April |
� Lecture: Descretization � Laboratory:
Descretization of Mechanical System |
Week 13> |
20 April |
� Lecture:
Discrete Control Systems � Laboratory:
Power Generation Control |
Week 14> |
27 April |
� Lecture: Orbiting Space
Vehicle � Laboratory: Changing
Orbits |
Week 15> Dahlgren |
4 May |
� Lecture: Review for Final
Exam � Group 1
Presentation � Group 2
Presentation � Group 3
Presentation |
Week 16 |
11 May |
� Final Examination |
Note: Weekly minutes of
group activities to be emailed to [email protected]
beginning