Syllabus for MME 502
Engineering Analysis I Mathematical Foundations
Fall 2019
 Course description
 General information
 Textbooks
 Slack
 Homebrew texts and notes
 Video lectures
 Schedule
 Assignments
 Homework, quiz, & exam policies
 Access and accommodations
 Sexual misconduct/sexual harassment reporting
 Correlation of course & program outcomes
Course description
An introduction to the mathematical foundations of advanced engineering analysis. The course prepares one for the further study of specific analytic techniques and begins with a survey of the mathematical fields and their applications to engineering analysis. Topics introduced in some detail include probability theory, statistics, Fourier analysis, solution of partial differential equations using methods including separation of variables, differential and vector calculus, and complex analysis. (Adapted from the course catalog.)
General information
 Office Hours (CH 103C/Zoomington)
 By appointment
 Location
 Cebula 105
 Times
 MWF 2:00–3:15 pm
 Website
 ricopic.one/courses/me502_2019F
 Moodle
 moodle.stmartin.edu
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Textbooks
(Kr) Erwin Kreyszig. Advanced Engineering Mathematics. Tenth Edition. Wiley, 2011. (Required. Old editions ok, but homework from Tenth.)
Slack
Everyone is required to join the messaging service called “Slack.” We’ll use it to communicate with each other during the semester. The Slack team you need to join is called drrico. That’s a signup link. Be sure to join the channels #502general2019
and #502homework2019
.
Homebrew texts and notes
A partial text (with fillins) I’m writing will be posted on the Mathematical Foundations of Engineering Analysis page.
I’m writing this as we go, so each day of class please check the website and print the lecture(s) for that day, only. I’ll announce on Slack which need to be printed for each class.
Video lectures
I will post videos of the live lectures on my YouTube channel. I recommend subscribing and familiarizing yourself with the playlist for this course.
Schedule
The following schedule is tentative and will be updated as the course proceeds.
Assignments
Assignment 1: Review of vectors

Solution, pword:
anF3TD8krFgyEb88reV
 Do the assigned reading.
 Kr problems 9.1: 4, 18, 23, 32, 34;
9.2: 9, 16, 19, 33, 38;
9.3: 2, 25;
9.4: 6, 12, 16; and
9.5: 7, 26, 41.  Take the weekly homework quiz.
Assignment 2: Probability and statistics

Solution, pword:
zt5w1rfEagH4O8DF4zi9x
 Do the assigned reading.
 Kr problems 24.3: 12, 14;
24.4: 6;
24.5: 8, 12;
24.6: 10, 18;
24.7: 8, 12;
24.8: 8;
24.9: 6, 8, 14;
25.3: 6, 10, 14;
25.9: 6.  Take the weekly homework quiz.
Assignment 3: Differential and integral vector calculus

Solution, pword:
04CSMXQ7t8c4jnh5cCa5xE
 Do the assigned reading.
 Kr problems 9.7: 4, 18, 24;
9.8: 2, 10;
9.9: 8, 12, 16;
10.1: 2;
10.2: 4;
10.3: 18;
10.4: 2;
10.6: 2;
10.7: 10;
10.9: 6.  Take the weekly homework quiz.
Assignment 4: Fourier analysis
 CANCELLED
 Do the assigned reading.
 Kr problems
 Take the weekly homework quiz.
Assignment 5: Analytic PDE solution
 Do the assigned reading.
 MF exercise 07.1.
 Take the weekly homework quiz.
Assignment 6: Complex analysis
 CANCELLED
 Do the assigned reading.
 Kr problems
 Take the weekly homework quiz.
Assignment 7: Optimization
 CANCELLED
 Do the assigned reading.
 Kr problems
 Take the weekly homework quiz.
Homework, quiz, & exam policies
Homework & homework quiz policies
Weekly homework will be “due” on Fridays, but it will not be turned in for credit. However — and this is very important — each week a quiz will be given on Friday that will cover that week’s homework.
Quizzes will be available on moodle each Friday (as early as I can get them up), and must be completed by that evening (before midnight). Late quizzes will receive no credit.
Working in groups on homework is strongly encouraged, but quizzes must be completed individually.
Exam policies
Exams typically will be takehome. If you require any specific accommodations, please contact me.
Calculators will be allowed. Only ones own notes and the notes provided by the instructor will be allowed. No communicationdevices will be allowed.
No exam may be taken early. Makeup exams require a doctor’s note excusing the absence during the exam.
The final exam will be cumulative.
Grading policies
Total grades in the course may be curved, but individual homework quizzes and exams will not be. They will be available on moodle throughout the semester.
 Participation and Homework Quizzes
 30%
 Final Exam
 70%
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Participation grades depend on filling in your notes and engagement in class discussions.
Academic integrity policy
Cheating or plagiarism of any kind is not tolerated and will result in a failing grade (“F”) in the course. I take this very seriously. Engineering is an academic and professional discipline that requires integrity. I expect students to consider their integrity of conduct to be their highest consideration with regard to the course material.
Access and accommodations
Your experience in this class is important to me. If you have already established accommodations with Disability Support Services for Students (DSS), please communicate your approved accommodations to me at your earliest convenience so we can discuss your needs in this course.
If you have not yet established services through DSS, but have a temporary health condition or permanent disability that requires accommodations (conditions include but not limited to; mental health, attentionrelated, learning, vision, hearing, physical or health impacts), you are welcome to contact DSS at 3604384580 or dss.testing@stmartin.edu or smu.dss@stmartin.edu DSS offers resources and coordinates reasonable accommodations for students with disabilities and/or temporary health conditions. Reasonable accommodations are established through an interactive process between you, your instructor(s) and DSS. It is the policy and practice of the Saint Martin’s University to create inclusive and accessible learning environments consistent with federal and state law.
Sexual misconduct/sexual harassment reporting
Saint Martin’s University is committed to providing an environment free from sex discrimination, including sexual harassment and sexual violence. There are Title IX/sexual harassment posters around campus that include the contact information for confidential reporting and formal reporting. Confidential reporting is where you can talk about incidents of sexual harassment and genderbased crimes including sexual assault, stalking, and domestic/relationship violence. This confidential resource can help you without having to report your situation to the formal reporting process through unless you request that they make a report. Our confidential reporting faculty are: Dr. Emily Coyle, Psychology, and Dr. Rico Picone, Mechanical Engineering. Additional information and or reports can be made to the Title IX Team here on campus through the Dean of Students – Ms. Melanie Richardson, Associate VP of Human Resources – Ms. Cynthia Johnson, Public Safety – Mr. Will Stakelin, or the Provost/Vice President of Academic Affairs, Dr. Kate Boyle. Please be aware that in compliance with Title IX and under the Saint Martin’s University policies, educators must report incidents of sexual harassment and genderbased crimes including sexual assault, stalking, and domestic/relationship violence. If you disclose any of these situations in class, on papers, or to me personally, I am required to report it. [As one of your two confidential support people, I am not, but this statement applies, otherwise.]
Correlation of course & program outcomes
In keeping with the standards of the Department of Mechanical Engineering, each course is evaluated in terms of its desired outcomes and how these support the desired program outcomes. The following sections document the evaluation of this course.
Desired course outcomes
Upon completion of the course, the following course outcomes are desired:
 Students will demonstrate the ability to use the fundamentals of advanced engineering analysis mathematics.
 Students will demonstrate the ability to solve partial differential equations with the method of separation of variables.
 Students will demonstrate the ability to use Fourier analysis.
 Students will demonstrate the ability to use differential vector calculus.
 Students will demonstrate an understanding of probability and statistics and how they relate to truth.
 Students will demonstrate an understanding of the meaning of “truth” in the context of engineering analysis, with its foundations in mathematical, physical, and philosophical analysis.
Desired program outcomes
In accordance with ABET’s student outcomes, our desired program outcomes are that mechanical engineering graduates have:
 an ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics
 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
 an ability to communicate effectively with a range of audiences
 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
 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
 an ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions
 an ability to acquire and apply new knowledge as needed, using appropriate learning strategies.
Correlation of outcomes
The following table correlates the desired course outcomes with the desired program outcomes they support.
desired program outcomes  

1  2  3  4  5  6  7  
desired course outcomes  1  ✔  ✔    ✔  ✔  ✔  
✔  ✔    ✔  ✔   
✔  ✔    ✔  ✔   
✔  ✔    ✔  ✔   
✔  ✔    ✔  ✔   
✔  ✔  ✔   ✔  ✔   
✔  ✔  ✔  ✔  ✔  ✔  ✔ 