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Center for Curriculum and Transfer Articulation Not Found
Major: 3228
Effective Term: 2012 Fall   

Award: AAS
Total Credits: 63-76
CIP Code: 15.0000

Instructional Council: Engineering (27)
GPA: 3.0
SOC Code: Not Found


Description: The Associate in Applied Science (AAS) in Engineering Technology program is designed to provide skills required of entry-level engineering technicians. Students are provided with the fundamentals of physics, engineering, computer hardware, programming, engineering design fundamentals, and computer software program usage. A solid foundation in mathematics, science, communication skills, humanities, and social sciences provides a well-rounded curriculum.



Required Courses
The prerequisites for CAD145 have been waived for students who have declared the AAS/3228 in Engineering as their major.
+ ECE102 Engineering Analysis Tools and Techniques (2) OR
+ ECE102AA Engineering Analysis Tools and Techniques (2) 2

+ ECE103 Engineering Problem Solving and Design (2) OR
+ ECE103AB Engineering Problem Solving and Design (2) 2

+ CSC/EEE120 Digital Design Fundamentals (4) OR
+ CAD145 Survey of CAD (3) OR
+ ECE216 Computer-Aided Engineering (2) AND
+ ECE216LL Computer-Aided Engineering Laboratory (1) 3-4

+ MAT220 Calculus with Analytic Geometry I (5) OR
+ MAT221 Calculus with Analytic Geometry I (4) 4-5

+ MAT230 Calculus with Analytic Geometry II (5) OR
+ MAT231 Calculus with Analytic Geometry II (4) 4-5

+ MAT240 Calculus with Analytic Geometry III (5) OR
+ MAT241 Calculus with Analytic Geometry III (4) 4-5

+ MAT276 Modern Differential Equations (4) OR
+ MAT277 Modern Differential Equations (3) 3-4

+ EEE202 Circuits and Devices 5

+ CSC100 Introduction to Computer Science (C++) (3) OR
+ CSC100AA Introduction to Computer Science (C++) (3) OR
+ CSC100AB Introduction to Computer Science (4) OR
+ CSC110 Introduction to Computer Science (Java) (3) OR
+ CSC110AB Introduction to Computer Science (Java)(4) 3-4

+ PHY115 University Physics I (5) OR
+ PHY121 University Physics I: Mechanics (4) 4-5

+ PHY116 University Physics II (5) OR
+ PHY131 University Physics II: Electricity and Magnetism (4) 4-5
Credits: 38-46

Program Competencies
1. Use of computer tools and computer modeling as applied to engineering analysis and design. (ECE102, ECE102AA)
2. Write technical reports consistent with engineering analysis and engineering design project specifications, using microcomputer application programs. (ECE103, ECE103AB)
3. Work as a member of an engineering project team to analyze and solve engineering design problems. (ECE103, ECE103AB, PHY115, PHY121, PHY116, PHY131)
4. Compose a program evaluation and review analysis of an engineering design project. (ECE103, ECE103AB, PHY115, PHY116, PHY131)
5. Use algebraic and trigonometric functions to solve electronic problems. (MAT220, MAT221, EEE202)
6. Apply Ohm`s and Kirchhoff`s laws to the solution of DC circuits and networks. (EEE202)
7. Apply Kirchhoff`s laws in conjunction with phasor concepts to solve AC circuits and networks. (EEE202, PHY116, PHY131)
8. Use a programming language, such as C++ or Java, to solve technology-related programming problems, test, debug, install programs, and document all work. (CSC100, CSC100AA, CSC100AB, CSC110, CSC110AB)
9. Use basic circuit analysis to design and measure a linear analog electrical system. (EEE202, PHY116, PHY131)
10. Use Laplace Transform to analyze and characterize linear circuits. (EEE202, MAT276, MAT277)
11. Design an active linear circuit to implement a desired transfer function. (EEE202, MAT240, MAT241)
12. Demonstrate knowledge of digital and analog circuits by employing logical troubleshooting procedures. (CAD145, ECE216, ECE216LL, CSC/EEE120, EEE202, PHY116, PHY131)
13. Demonstrate knowledge of synchronous and asynchronous digital circuits by employing logical troubleshooting procedures with an emphasis on FPGA (Field Programmable Gate Arrays). (CAD145, ECE216, ECE216LL, CSC/EEE120)
14. Develop algorithms for the control of microprocessor components. (CAD145, ECE216, ECE216LL, CSC/EEE120)
15. Apply physics and mathematics principles to systematically solve engineering problems. (MAT220, MAT221, MAT230, MAT231, MAT240, MAT241, PHY115, PHY121, PHY116, PHY131)
16. Employ reliable engineering principles to design an optimum problem solution, using approved data interpretation techniques as part of an engineering problem analysis. (PHY116)
+ indicates course has prerequisites and/or corequisites.
++ indicates that any suffixed course may be selected.
MCCCD Governing Board Approval Date: June 26, 2012

All information published is subject to change without notice. Every effort has been made to ensure the accuracy of information presented, but based on the dynamic nature of the curricular process, course and program information is subject to change in order to reflect the most current information available.