MAE 2100 Programming and Software Tools

Syllabus

INSTRUCTOR: Yuwen Zhang

Email: zhangyu@missouri.edu 

OFFICE: E3408 Lafferre Hall

OFFICE HOURS: Monday 4:00 - 6:00 PM in C1249 (other times by request); can meet in person or via Zoom (notify by e-mail).

SCHEDULE

Two 50 minute lectures, plus one 2 hour in-person computer lab each week.

LECTURE

Monday and Wednesday  12:00PM - 12:50PM (Tucker Hall 18)

LABS

A: Tu 4:00PM - 5:50PM (C1249 Lafferre Hall)
B: Th 4:00PM - 5:50PM (C1249 Lafferre Hall)
C:  Tu 2:00PM - 3:50PM (C1249 Lafferre Hall)
D: Th 2:00PM - 3:50PM (C1249 Lafferre Hall)

TEACHING ASSISTANTS

Xu Huang (xu.huang@missouri.edu)

Adam Reddy (awrkzc@missouri.edu) 

CATALOG DESCRIPTION

Introduction to the use of computers for programming, and software. Topics include MATLAB syntax and programming techniques, algorithm design, programming with Excel spreadsheets, introduction to matrices, and regression and interpolation.

PREREQUISITES: Grade of C or better in MATH 1700

TEXTBOOK (OPTIONAL)

1. Essential MATLAB for Engineers and Scientists, 6th Edition, Daniel Valentine & Brian Hahn, Academic Press, 2016

2. Essentials of MATLAB Programming, 3rd Edition, Stephen J. Chapman, Cengage Publishing, 2018  

3. Applied Numerical Methods with MATLAB for Engineers and Scientists, 4th Edition, Steven Chapra, McGraw-Hill, 2018

SOFTWARE

MATLAB Options:

1. Computer Labs (C1249, Naka 145, and likely others)

2. Campus License

   • Must register for account using your university email address (e.g., yourpawprint@mail.missouri.edu)

   • Can download and run MATLAB on your personal computer

   • Can run online using MATLAB Online (runs in browser, but requires student license)

Microsoft Excel is available in computer labs and with Microsoft Office 365

GRADING

• Assignments: 25% (lowest assignment grade, except final comprehensive assignment, to be disregarded in computing final grade)

• Exams: 75% (three mid-term exams, 25% each)

There will be no exam during finals week.  

GRADING SCALE

• A+ = 98-100, A = 93-98, A- = 90-93

• B+ = 87-90, B = 83-87, B- = 80-83

• C+ = 77-80, C = 73-77, C- = 70-73

• D+ = 67-70, D = 63-67, D- = 60-63

• F < 60

LATE POLICY

Assignments may be submitted up to one week after the official due date to receive a maximum of 50 % of credit for the assignment.  No credit will be given for assignments submitted more than one week after the official due date.

EXAM DATES
(subject to change)

• Exam 1 - Week of October 5th

• Exam 2 - Week of November 9th

• Exam 3 - Week of December 7th  

Exams must be taken in person during your regularly scheduled laboratory period that week.

STUDENTS WITH DISABILITIES

If you anticipate barriers related to the format or requirements of this course, if you have emergency medical information to share with me, or if you need to make arrangements in case the building must be evacuated, please let me know as soon as possible.

If disability related accommodations are necessary (for example, a note taker, extended time on exams, captioning), please register with the Disability Center

POLICY ON USE OF ARTIFICIAL INTELLIGENCE

Generative AI software may be used to develop solutions to class assignments as will be described in class lecture.  Generate AI software use will not be permitted for exams in this course. Students are expected to rely solely on their own cognitive abilities and academic skills when preparing solutions to exams. This course policy is in place to help you develop your personal knowledge and skills and to ensure that assessments accurately reflect each student’s independent capabilities. This policy aligns with the UM System Student Code of Conduct 200.010. Violations of this policy will constitute academic integrity violations under University rules. 

MAE 2100 - COURSE TOPICS

1. Introduction

2. AI Methods

3. MATLAB Environment, Variables, Operators, and Expressions

4. MATLAB Scripts, Functions, and Simple I/O

5. Loop Control Statements

6. Arrays

7. Conditional Statements

8. Data Types and Data Structures

9. Microsoft Excel

10. Plotting and Polynomial Functions

11. Data Input and Output

12. Nested Loops

13. Comprehensive Assignment

14. Symbolic Computations