11/21/2024 12:58:59 AM	ENGR 6 Course Outline as of Fall 2019	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	2.00		17.5 max.	Lecture Scheduled	35.00
Minimum	3.00	Lab Scheduled	3.00		6 min.	Lab Scheduled	52.50
		Contact DHR	0			Contact DHR	0
		Contact Total	5.00			Contact Total	87.50
		Non-contact DHR	0			Non-contact DHR Total	0

Total Out of Class Hours:  70.00

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. It introduces the fundamentals of procedural and object-oriented programming, numerical analysis, and data structures. Students outline, write, test, and debug computer programs to solve engineering, physics, and mathematics problems and display results.

Prerequisites/Corequisites:
Completion of MATH 1A or higher (MATH)

Recommended Preparation:

Limits on Enrollment:

Schedule of Classes Information
Description:

Engineering problem solving using the MATLAB computer programming environment. It introduces the fundamentals of procedural and object-oriented programming, numerical analysis, and data structures. Students outline, write, test, and debug computer programs to solve engineering, physics, and mathematics problems and display results.

(Grade or P/NP)
Prerequisites:Completion of MATH 1A or higher (MATH)
Recommended:
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

Approval and Dates

Version:	05	Course Created/Approved:	11/22/1999
Version Created:	11/14/2018	Course Last Modified:	6/5/2021
Submitter:	Vince Bertsch	Course Last Full Review:	12/12/2023
Version Status:	Approved Changed Course	Prereq Created/Approved:	12/12/2023
Version Status Date:	11/26/2018	Semester Last Taught:	Spring 2021
Version Term Effective:	Fall 2019	Term Inactive:	Summer 2021

COURSE CONTENT

Student Learning Outcomes:
At the conclusion of this course, the student should be able to:

1.  Apply standard programming techniques to write, test, and debug MATLAB computer

    programs that complete engineering-related tasks.

2.  Apply common numerical analysis techniques in MATLAB to analyze data from

    engineering-related problems.

3.  Apply programming and collaboration skills to the completion of a group project with

    partially defined parameters.

Objectives:

During the course, students will:

1. Utilize methodical approaches to develop computer algorithms that perform

    engineering-related tasks.

2. Create, test, and debug sequential MATLAB programs to perform those tasks.

3. Solve engineering-related computational problems by applying common numerical analysis

    techniques and MATLAB engineering tools.

4. Create computer programs to analyze and visualize data with tables, charts, and graphs.

5. Demonstrate understanding and use of standard data structures and object-oriented

    programming techniques.

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

    by another programmer.

 

Lab objectives (in addition to the objectives above):

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

    project parameters.

8. Practice collaborative problem solving and project management skills including peer review

    and evaluation.

9. Develop oral presentation skills.

Topics and Scope

I. Overview of Computer Systems and the MATLAB Environment

    A. Compiled vs. interpreted languages

    B. Procedural vs. object-oriented programming

    C. MATLAB's interactive workspace

    D. MATLAB's documentation and help features

II. Basic Interpreted Code

    A. Variables

    B. Expressions

    C. Precedence of operations

III. Elementary Functions

    A. Math functions

    B. Logical functions

    C. Referencing functions

IV. Arrays

    A. Assigning

    B. Indexing

    C. Operations

V. Computational Problem-Solving Methodologies

    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

VI. Algorithm and Coding Practices

    A. Pseudocode

    B. Flowcharts

    C. Comments and documentation blocks

VII. Formatted Input and Output

    A. Input function

    B. Menu function

    C. Disp function

    D. Format strings

VIII. File Management

    A. MATLAB data files

    B. MATLAB program files

    C. MATLAB object files

    D. MATLAB figure files

    E. Non-MATLAB file reading

IX. 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

X. Selection Programming Structures

    A. Relational and logical operators and functions

    B. If statements with else & elseif

    C. Switch-case construction

XI. Repetition Programming Structures

    A. For loops

    B. While loops

XII. Functions

    A. User-defined functions

    B. Multiple input and output functions

    C. Function handles

    D. Random functions

    E. MATLAB's numerical analysis functions

XIII. Recursion

XIV. Data Types

    A. Strings and character arrays

    B. Cell arrays

    C. Structured arrays

    D. Logical arrays

    E. Graphical objects

    F. User data structures

XV. Sorting and Searching

    A. Bubble sort

    B. Insertion sort

    C. Lookup techniques

XVI. Object-Oriented Programming

    A. Concepts

    B. Terminology

    C. Properties

    D. Methods

XVII. Graphical User Interfaces

    A. MATLAB's graphical user interface objects

    B. Object generation and parameter modification

    C. Graphical user interface activation

XVIII. Numerical Analysis Techniques

    A. Linear system solutions

    B. Vector analysis

    C. Data interpolation

    D. Least-squares regression and linearization

    E. Numerical differentiation and integration

    F. Solving ordinary differential equations

    G. Series approximation and error

    H. Solving equations in one variable

    I. Optimization

    J. Simulation

 

Lab Topics and Scope (in addition to the topics above):

XIX. Interfacing to the External Environment

XX. Group Interaction Skills and Peer Review and Evaluation

XXI. Presentation Skills

Assignments:

Lecture Related Assignments:

1. Reading (15 pages per week)

2. Homework assignments using MATLAB (15-25)

3. Objective examinations (2-4) and a final

 

Lab Related Assignments:

1. Lab exercises using MATLAB (10-15)

2. Group projects including presentations (1-3)

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, Lab Exercises, Group Projects
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%
Exams and Final
Other: Includes any assessment tools that do not logically fit into the above categories.		Other Category 0 - 0%
None

Representative Textbooks and Materials:

MATLAB an Introduction with Applications. 5th ed. Gilat, Amos. Wiley. 2015

Introduction to MATLAB. Knoesen, Andrea. Zybook. 2016

Introduction to MATLAB for Engineers. 3rd ed. Palm, William. McGraw-Hill. 2011 (classic)

OTHER REQUIRED ELEMENTS

Student Preparation
Matric Assessment Required:	M	Requires Math Assessment
Prerequisites-generate description:	A	Auto-Generated Text
Advisories-generate description:	NA	No Advisory
Prereq-provisional:	N	NO
Prereq/coreq-registration check:	Y	Prerequisite Rules Exist
Requires instructor signature:	N	Instructor's Signature Not Required
BASIC INFORMATION, HOURS/UNITS & REPEATABILITY
Method of instruction:	02	Lecture
	71	Internet-Based, Simultaneous Interaction
	72	Internet-Based, Delayed Interaction
	04	Laboratory
Area department:	ENGR	Engineering and Applied Technology
Division:	73	Science, Technology, Engineering & Mathematics
Special topic course:	N	Not a Special Topic Course
Program Status:	1	Major Applicable Course
Repeatability:	00	Two Repeats if Grade was D, F, NC, or NP
Repeat group id:
SCHEDULING
Audit allowed:	N	Not Auditable
Open entry/exit:	N	Not Open Entry/Open Exit
Credit by Exam:	N	Credit by examination not allowed
Budget code: Program:	0000	Unrestricted
Budget code: Activity:	0901	Engineering
OTHER CODES
Disciplines:	Engineering OR Engineering Support
Basic Skills:	N	Not a Basic Skills Course
Level below transfer:	Y	Not Applicable
CVU/CVC status:	Y	Distance Ed, Not CVU/CVC Developed
Distance Ed Approved:	N	None
Emergency Distance Ed Approved:	Y	Fully Online Partially Online Online with flexible in-person activities
Credit for Prior Learning:	N	Agency Exam
	N	CBE
	N	Industry Credentials
	N	Portfolio
Non-credit category:	Y	Not Applicable, Credit Course
Classification:	Y	Liberal Arts and Sciences Courses
SAM classification:	E	Non-Occupational
TOP code:	0901.00	Engineering, General
Work-based learning:	N	Does Not Include Work-Based Learning
DSPS course:	N	NO
In-service:	N	Not an in-Service Course
Lab Tier:	23	Credit Lab - Tier 3

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