8/31/2024 6:27:44 PM |
| Changed Course |
CATALOG INFORMATION
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Discipline and Nbr:
ENGR 6 | Title:
MATLAB FOR ENGINEERS |
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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 |
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| 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:
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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:
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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: | | |
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CSU GE: | Transfer Area | | Effective: | Inactive: |
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IGETC: | Transfer Area | | Effective: | Inactive: |
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CSU Transfer: | Transferable | Effective: | Fall 2000 | Inactive: | |
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UC Transfer: | Transferable | Effective: | Fall 2000 | Inactive: | |
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C-ID: |
Certificate/Major Applicable:
Major Applicable Course
COURSE CONTENT
Student Learning Outcomes:
At the conclusion of this course, the student should be able to:
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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:
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At the conclusion of this course, the student should be able to:
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
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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:
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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. |
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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:
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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)
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