# SRJC Course Outlines

10/22/2020 3:12:41 AM | ENGR 6 Course Outline as of Fall 2019
| Changed Course |

CATALOG INFORMATION |
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Discipline and Nbr: ENGR 6 | Title: MATLAB FOR ENGINEERS | |

Full Title: Programming in MATLAB for Engineers | ||

Last Reviewed:9/11/2017 |

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 |

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

__COURSE CONTENT__**Student Learning Outcomes:**

Upon completion of the course, students will 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% |
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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% |
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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% |
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None | |||

Exams: All forms of formal testing, other than skill performance exams. | Exams 30 - 60% |
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Exams and Final | |||

Other: Includes any assessment tools that do not logically fit into the above categories. | Other Category 0 - 0% |
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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)