11/23/2024 12:11:04 AM	ENGR 6 Course Outline as of Spring 2012	Changed Course
CATALOG INFORMATION
Discipline and Nbr:  ENGR 6	Title:  MATLAB FOR ENGINEERS
Full Title:  Programming in MATLAB for Engineers
Last Reviewed:12/12/2023

Units		Course Hours per Week			Nbr of Weeks	Course Hours Total
Maximum	3.00	Lecture Scheduled	3.00		17.5 max.	Lecture Scheduled	52.50
Minimum	3.00	Lab Scheduled	0		6 min.	Lab Scheduled	0
		Contact DHR	0			Contact DHR	0
		Contact Total	3.00			Contact Total	52.50
		Non-contact DHR	0			Non-contact DHR Total	0

Total Out of Class Hours:  105.00

Total Student Learning Hours: 157.50

Title 5 Category:  AA Degree Applicable
Grading:  Grade or P/NP
Repeatability:  00 - Two Repeats if Grade was D, F, NC, or NP
Also Listed As: 
Formerly: 

Catalog Description:

Engineering problem solving using the MATLAB computer programming environment.  Designed to meet computer programming requirements for engineering transfer students.  Students outline, write, test, and debug computer programs to solve engineering problems and display results.  Emphasis on proper documentation of computer code and reports.

Prerequisites/Corequisites:
Course Completion or Current Enrollment in MATH 1A or higher (V2)

Recommended Preparation:
Course Completion of PHYS 1

Limits on Enrollment:

Schedule of Classes Information
Description:

Engineering problem solving using the MATLAB computer programming environment.  Designed to meet computer programming requirements for engineering transfer students.  Students outline, write, test, and debug computer programs to solve engineering problems and display results.  Emphasis on proper documentation of computer code and reports.

(Grade or P/NP)
Prerequisites:Course Completion or Current Enrollment in MATH 1A or higher (V2)
Recommended:Course Completion of PHYS 1
Limits on Enrollment:
Transfer Credit:CSU;UC.
Repeatability:00 - Two Repeats if Grade was D, F, NC, or NP

ARTICULATION, MAJOR, and CERTIFICATION INFORMATION

Associate Degree:		Effective:		Inactive:
Area:
CSU GE:	Transfer Area			Effective:	Inactive:
IGETC:	Transfer Area			Effective:	Inactive:
CSU Transfer:	Transferable	Effective:	Fall 2000	Inactive:
UC Transfer:	Transferable	Effective:	Fall 2000	Inactive:
C-ID:

Certificate/Major Applicable: Major Applicable Course

COURSE CONTENT

Outcomes and Objectives:
At the conclusion of this course, the student should be able to:

1.  Utilize a methodical approach to solve computational problems.

2.  Design algorithms and flowcharts to facilitate programming and problem

   solution.

3.  Create computer programs to analyze data and generate tables, charts,

   and graphs.

4.  Solve engineering related computational problems by applying MATLAB engineering tools.

5.  Produce project documents in a careful and complete manner in order to effectively communicate the results of the analysis.

6.  Document computer programs in a careful and complete manner in order to

   facilitate editing by another programmer.

7.  Develop solution algorithms in a project based environment with only partially defined

   project parameters.

8.  Practice collaborative problem solving and project management skills.

Topics and Scope

1.  Engineering Problem Solving Methodology

   a. Problem definition and specifications

   b. Input and output information and variables

   c. Working a special case by hand

   d. Design and implementation of computer algorithm

   e. Test of algorithm

2.  Technical Computing Environment

   a. MATLAB interactive workspace

   b. MATLAB documentation, help, and resources

   c. Common mathematical functions

   d. Designing, editing, and executing scripts

   e. User defined functions

3.  Array Mathematics

   a. Arrays: scalars, vectors, and matrices

   b. Scalar and array operations

   c. Array functions

   d. Solutions to linear systems

   e. Weighted average problems

   f. Other engineering computations using arrays

4.  Mathematical Functions

   a. Complex numbers

   b. Random numbers

   d. Functions of two variables

5.  Selection Programming Structures

   a. Relational and logical operators

   b. If statements

   c. Else & elseif clauses

   d. Relational and logical functions

6.  Repetition Programming Structures

   a. For loops

   b. While loops

   c. Switch-case construction

7.  Text Programming

   a. Character strings

   b. String conversions

   c. String functions

   d. Display formatting

8. Graphical display

   a. Independent variable set-up in 1 and 2 dimensions

   b. Two dimensional plotting

   c. Three dimensional surface plots

   d. Plot annotation expectations

   e. Manual annotation options

   f. Annotation functions

9. Advanced Mathematical Operations

   a. Polynomial functions and operations

   b. Symbolic math toolbox

   c. Statistical analysis

   d. Integration and differentiation

   e. Simulation

   f. Optimization

10. Object oriented programming

   a. MATLAB's graphical user interface objects

   b. Object generation and parameter modification

   c. Graphical user interface activation

Assignments:

1.  Textbook reading to supplement and reinforce lecture material, about 15 pages per week.

2.  In-class exercises and homework assignments using the MATLAB

   computing environment, such as:  programs, tables, and graphs.

3.  In-class exercises and homework assignments outside the MATLAB

   computing environment, such as: short answer exercises, flowcharts, work schedules, and program outlines.

4.  Group project to generate a complex computer program.

5.  Objective examinations including  at least three exams and a final.

Methods of Evaluation/Basis of Grade.

Writing: Assessment tools that demonstrate writing skill and/or require students to select, organize and explain ideas in writing.		Writing 0 - 0%
None
This is a degree applicable course but assessment tools based on writing are not included because problem solving assessments are more appropriate for this course.
Problem solving: Assessment tools, other than exams, that demonstrate competence in computational or non-computational problem solving skills.		Problem Solving 40 - 70%
Homework Assignments, Group Project
Skill Demonstrations: All skill-based and physical demonstrations used for assessment purposes including skill performance exams.		Skill Demonstrations 0 - 0%
None
Exams: All forms of formal testing, other than skill performance exams.		Exams 30 - 60%
Multiple choice, completion, short answer and program code
Other: Includes any assessment tools that do not logically fit into the above categories.		Other Category 0 - 0%
None

Representative Textbooks and Materials:

W. Palm, Introduction to MATLAB for Engineers, 3rd Ed.McGraw-Hill, 2011

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