Maui Community College
Course Outline
1. Alpha
ETRO Number
305
Course Title
Engineering Computing
Credits
3
Department
STEM Author Dr. Jung Park
Date of Outline
10/06/2009
Effective Date Fall 2010
5-year Review Date Fall 2015
2. Course Description:
Studies computer programming to solve electronics and optical system
problems. Uses software programming applications, technical databases, image processing, and other
scientific and engineering software tools. Reinforces mathematical concepts useful in the study of
engineering technology. Utilizes the capabilities of software such as MATLAB and its applications to
visualize solutions to technical and engineering problems. Includes hands-on engineering computing
examples to demonstrate programming skills.
Cross-list
Contact Hours/Type
3 hr. lecture
3. Pre-requisites
ICS 111 with grade C or better.
Pre-requisite may be waived by consent
Co-requisites
yes
no
MATH 219 and PHYS 219
Recommended Preparation
4. Function/Designation
AS Program
AAS Program
BAS Other
AA Category
Category
List Additional Programs and Category:
Category
Other
Developmental/Remedial
Additional Category
List Additional Programs and Category:
List Additional Programs and Category: Engineering Technology
Other/Additional: Explain:
______________________________________________________
______________________
Chancellor
Approval Date
Revised 6/28/2016
Course Outline, page 1
2
See Curriculum Action Request (CAR) form for the college-wide general education student learning
outcomes (SLOs) and/or the program learning outcomes (PLOs) this course supports.
This course outline is standardized and/or the result of a community college or system-wide agreement.
Responsible committee:
5. Student Learning Outcomes (SLOs): List one to four inclusive SLOs.
For assessment, link these to #7 Recommended Course Content, and #9 Recommended Course
Requirements & Evaluation. Use roman numerals (I., II., III.) to designate SLOs
On successful completion of this course, students will be able to:
I. Utilize software applications such as MATLAB to determine numerical solutions.
II. Perform qualitative and graphical analysis of solutions.
III. Develop the mathematical modeling of physical problems.
IV. Apply design patterns for analyzing electronic signals and systems.
6. Competencies/Concepts/Issues/Skills
For assessment, link these to #7 Recommended Course Content, and #9 Recommended Course
Requirements & Evaluation. Use lower case letters (a., b.…zz. )to designate competencies/skills/issues
On successful completion of this course, students will be able to:
a. Identify variables of an appropriate type and write expressions to perform computation.
b. Apply a simple algorithm to solve a minor engineering problem.
c. Demonstrate image analysis tools such as IDL and perform matrix operations.
d. Design and analyze optical systems using Zemax.
e. Understand vector analysis using Matlab.
f. Utilize AutoCAD and SolidWorks for mechanical system analysis.
g.Utilize project management software.
7. Suggested Course Content and Approximate Time Spent on Each Topic
Linked to #5. Student Learning Outcomes and # 6 Competencies/Skills/Issues
Introduction to MATLAB (2 weeks), (I, II, III, IV, a, b,)
Algorithms (2 weeks), (III, IV, b, g)
Matrix operations (2 weeks), (I, II, III, a, b)
Image analysis (2 weeks), (I, II, III, b, c)
Introduction to Zemax (2 weeks), (III, d)
Vector analysis using MATLAB (2 weeks), (I, a, b, e)
Mechanical system analysis with AutoCAD and SolidWorks (3 weeks), (II, III, IV, a, b, f)
8. Text and Materials, Reference Materials, and Auxiliary Materials
Appropriate text(s) and materials will be chosen at the time the course is offered from those currently
available in the field. Examples include:
1. K. A. Stroud, "Engineering Mathematics", 6/E, Industrial Press Inc, 2007, ISBN 0831133279.
2. D. M. Etter, “Engineering Problem Solving with MATLAB”, 3/E, Prentice Hall, 2006, ISBN
0130462144
Appropriate reference materials will be chosen at the time the course is offered from those currently
available in the field. Examples include:
Revised 6/28/2016
course outline
3
Appropriate auxiliary materials will be chosen at the time the course is offered from those currently
available in the field. Examples include:
Software: MATLAB
Accompanying practice exercises
Articles, handouts and/or exercises prepared by the instructor
On-line materials
9. Suggested Course Requirements and Evaluation
Linked to #5. Student Learning Outcomes (SLOs) and #6 Competencies/Skills/Issues
Specific course requirements are at the discretion of the instructor at the time the course is being offered.
Suggested requirements might include, but are not limited to:
Examinations (written and/or oral)
In-class exercises
Homework
Quizzes
Projects/research
Attendance and/or class participation
0-20% (I, II, III, IV, a, b, c, d, e, f, g)
40-60% (I, II, III, IV, a, b, c, d, e, f, g)
10-20% (I, II, III, IV, a, b, c, d, e, f, g)
0-10% (I, II, III, IV, a, b, c, d, e, f, g)
0-10% (I, II, III, IV, a, b, c, d, e, f, g)
0-10%
10. Methods of Instruction
Instructional methods will vary considerably by instructor. Specific methods are at the discretion of the
instructor teaching the course and might include, but are not limited to:
Lecture, problem solving, and class exercises or reading
Lab experiments and reports
In-class exercises, homework assignments, quizzes, written examinations
Projects or research (written reports and/or oral class presentations)
Attendance and/or class participation
Audio-visual or internet presentations
Visual step-by-step instruction with students
Group or individual projects
Service-learning
11. Assessment of Intended Student Learning Outcomes Standards Grid attached
12. Additional Information:
Revised 6/28/2016
course outline