ENGR1140 Syllabus Fall2019 Yoder

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ENGR 1140: Computational Engineering Methods. 2 hours. (syllabus)

Fall 2019
College of Engineering, University of Georgia, Athens, GA
Instructor
Dr. Michael F. Yoder Office: Room 1273, Driftmier
email: myoder@engr.uga.edu Office phone: 706-583-5493
Office hours: When I’m in my office or by appointment.
Graduate Teaching Assistant (none)
Course Description
Computer programming and matrix techniques used in the analysis of engineering problems.
Pre or Corequisite
MATH 2200 (Analytic Geometry and Calculus) or MATH 2250 (Calculus I for Science and
Engineering).
Course Time CRN (section) Time Days Room

and Location 17542 9:30 am – 10:20 am Tues, Thurs Driftmier 1268
17558 10:10 am – 11:00 am Mon, Wed Driftmier 1268
30963 11:00 am – 11:50 am Tues, Thurs Driftmier 1268
30964 8:00 am – 8:50 am Tues, Thurs Driftmier 1268
Course web page: https://uga.view.usg.edu eLC

Courses that require ENGR 1140 as a pre- or corequisite
BCHE 3520, Mass Transport and Rate Phenomena.
BIOE 4760, Biomechanics.
CVLE 2710, Numerical Methods for Engineers.
MCHE 1940, Mechanical Engineering Design Studio and Professional Practice.
Courses in which ENGR 1140 is a possible prerequisite (these courses often

require either ENGR 1140 or CSCI 1301)
ENGR 2180, Introduction to Modeling of Dynamic Systems.
ENGR 4111, Atmospheric Thermodynamics.
ENGR 4131, Introductory Atmospheric Physics.
CSEE 4310, Embedded Robotics.
CSEE 4750, Programming for Computational and Systems Biology.
Recommended Textbook (not required):

MATLAB An Introduction with Applications, 5th Edition, © 2015, John Wiley
& Sons, Inc., by Amos Gilat. ISBN: 978-1-118-62986-4 . The textbook
includes examples and problems that are very helpful in learning
computational methods. Newer editions are also good.
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The main resource for this class will be printed handouts that you will get each day in class.
If you keep all the handouts, at the end of the semester you will have the equivalent of a small
textbook.
Note: There are many helpful resources at www.mathworks.com ,
which is the homepage of the company who supports MATLAB.
❖ The course syllabus is a general plan for the course;

deviations announced to the class by the instructor may be necessary.
❖ Students with disabilities who require reasonable accommodations in order to participate
in course activities or meet course requirements should contact the instructor or designate
during regular office hours or by appointment.
Suggested Hardware
A USB Flash Memory Storage Drive (Suggested size > 2 Gigabytes).
Rename your USB drive with your username in case it is lost and you
want to get it back. Having a USB drive is not mandatory, because you
should be able to save your files in the My Engineering Data folder on
your desktop. Files placed in this folder are stored to the Z:network drive.
These files can be accessed from other Driftmier computers (when you log on
using MyID and password), and the files will stay there for the current semester only.
Prohibited Items/Conduct
The following are prohibited in the classroom:
Food, drinks, tobacco in any form.
Using your smartphone for any purpose.
Required Software
This class is taught using MATLAB computational software.
The version of MATLAB installed on all the computers in Driftmier:
R2019a (9.6.0.1099231) April 12, 2019.
If you want to use MATLAB at home, there are two options:

1) For your personal computer, you can download a free copy of the
MATLAB software at the UGA Enterprise Information Technology
Services webpage ( https://eits.uga.edu/ ).
At the EITS homepage, click on the icon for Hardware & Software
and continue to follow the directions to download a free copy of
MathWorks MATLAB (you don’t need Simulink or any of the
companion products like the toolboxes).
2) You can access MATLAB through the College of Engineering (CENGR) virtual computer
lab, MyLab, which is open 24 hours, available at http://mylab.engr.uga.edu/
Once connected to MyLab, you can use all the engineering lab software (and your
Engineering Data) from home.
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Course Outline
Some of the topics to be covered:
1. Computing basics: hardware, software, and representation of numbers.
2. Introduction to MATLAB: variables, arrays, strings, array operations.
3. MATLAB built-in functions: trigonometric, statistical, logarithmic, and exponential.
4. Creating MATLAB scripts (programs).
5. Representation of data: tables, x-y plots, bar graphs, and pie charts.
6. For-end loops, while-end loops, and nested loops.
7. Logical and comparison (relational) operations.
8. Program flow and control: if-end family and switch-case.
9. Creating user-defined functions.
10. Introduction to Microsoft ® Excel.
Course Learning Objectives

Upon completion of the course the student should be able to:
1. Use MATLAB to solve single variable equations.
2. Create visual representations of large data sets (numerical or string data).
3. Create and use MATLAB scripts and user-defined functions.
4. Recognize engineering problems that can be solved using MATLAB.
Grading – Course grades will be calculated according to these percentages:

Tests (2 x 15%) 30%
Project 1 15% The final class grades will be based on
Project 2 15% the table shown below:
Assignments & H.W. 20% A 94 -100 C+ 77 - 79
Class participation/attendance 5% A- 90 - 93 C 74 - 76
Final Exam 15% B+ 87 - 89 C- 70 - 73
Total 100% B 84 - 86 D 65 - 69
B- 80 - 83 F 64 and less
Tests: Tests will be based on the material learned in class (lectures and hands-on practice using
MATLAB). All tests are cumulative. If you can’t take a test for an approved reason, you must
contact the instructor prior to the day of the test so that arrangements can be made for a make-
up. Failure to inform the instructor will result in a score of 0 on the test.
Project Grading: Information will be provided when the project assignment is handed out.
Attendance Policy: Class attendance is required. Roll will be taken at the beginning of class.
Class attendance is 5% of your grade. If you are not present when the roll is taken, you are
marked absent.
During some days there will be graded In-Class Exercises. If you are not present to do this
assignment, your grade is 0 (zero).
Allowable absences under UGA guidelines (e.g. excused medical absence with note from
doctor, religious holiday, etc.) will not count against you, and you can make up class
assignments without penalty. Make-up assignments will be due within one week of returning
from the excused absence.
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If you are absent from a class, you are still responsible for anything that
was presented or announced in class.
A student who incurs an excessive number of absences may be withdrawn from a class at the
instructor’s discretion. An “excessive number of absences” is defined as being absent more than
20% of class time (6 days, for classes that meet 2 times each week).
Academic Honesty
As a University of Georgia student, you have agreed to abide by the University’s
Academic Honesty Policy and the Student Honor Code.
UGA Student Honor Code: "I will be academically honest in all of my academic work and will
not tolerate academic dishonesty of others."
A Culture of Honesty, the University's policy and procedures for handling cases of suspected
dishonesty, can be found at https://honesty.uga.edu/
Lack of knowledge of the academic honesty policy is not a reasonable explanation for a
violation. Questions related to course assignments and the academic honesty policy should be
directed to the instructor. Working with others on homework is allowed. However, all work
turned in must be the result of your own understanding. Copying is not allowed!
Engineering Professionalism Policy

The engineering profession is governed by a code of ethics that have developed alongside the
rigors of the practice and its many contributions to society. Engineering students are responsible
for maintaining the highest standards of professionalism and professional practice. Engineering
faculty at UGA expect students to act in a professional manner at all times.
ABET is a nonprofit, non-governmental organization that accredits college and university

programs in the disciplines of applied and natural science, computing, engineering, and
engineering technology, at the associate, bachelor’s and master’s degree levels.
ABET Student Outcomes (2019-2020)

1. An ability to identify, formulate, and solve complex engineering problems by applying
principles of engineering, science, and mathematics.
2. An ability to apply engineering design to produce solutions that meet specified needs with
consideration of public health, safety, and welfare, as well as global, cultural, social,
environmental, and economic factors.
3. An ability to communicate effectively with a range of audiences.
4. An ability to recognize ethical and professional responsibilities in engineering situations and
make informed judgments, which must consider the impact of engineering solutions in global,
economic, environmental, and societal contexts.
5. An ability to function effectively on a team whose members together provide leadership,
create a collaborative and inclusive environment, establish goals, plan tasks, and meet
objectives.
6. An ability to develop and conduct appropriate experimentation, analyze and interpret data,
and use engineering judgment to draw conclusions.
7. An ability to acquire and apply new knowledge as needed, using appropriate learning
strategies.
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Assessment of Student Outcomes, ENGR 1140, Fall 2019
Student outcome Assessment method

1. An ability to identify, formulate, and solve complex A, B, C
engineering problems by applying principles of
engineering, science, and mathematics.
6. An ability to develop and conduct appropriate A, B, C
experimentation, analyze and interpret data,
and use engineering judgment to draw conclusions.
Course assessment methods: A – homework and in-class assignments

B – tests
C – programming project
August 13, 2019

M. Yoder

ENGR1140 Syllabus Fall2019 Yoder

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ENGR 1140: Computational Engineering Methods. 2 hours. (syllabus)

Course Time CRN (section) Time Days Room

Course web page: https://uga.view.usg.edu eLC

Courses in which ENGR 1140 is a possible prerequisite (these courses often

Recommended Textbook (not required):

❖ The course syllabus is a general plan for the course;

If you want to use MATLAB at home, there are two options:

Course Learning Objectives

Grading – Course grades will be calculated according to these percentages:

Engineering Professionalism Policy

ABET is a nonprofit, non-governmental organization that accredits college and university

ABET Student Outcomes (2019-2020)

Assessment of Student Outcomes, ENGR 1140, Fall 2019

Student outcome Assessment method

Course assessment methods: A – homework and in-class assignments

August 13, 2019

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