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‎syllabus.md‎

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# Syllabus - Computational Mechanics
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## ME 3255 Winter 2024
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- **GitHub page:** [cooperrc/computational-mechanics](https://github.com/cooperrc/computational-mechanics)
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- Submitting assignments: [**HuskyCT**](https://learn.uconn.edu)
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- **JupyterHub server**: <https://nanohub.org/tools/compmech>
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- **ME3255 - Discussions**: [GitHub Discussion](https://github.com/cooperrc/computational-mechanics/discussions)
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[Current ME3255 Syllabus](https://cooperrc.github.io/computational-mechanics/syllabus.html)
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## Course Description
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This is a project-based introduction to computational mechanics. There are five
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modules with exercises, homeworks, and final projects. The overall goal of the
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course is to frame engineering problems as computational methods. Once we
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can communicate our engineering problems to Python code (or any other computer
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language) we can use standard computational methods to solve those problems.
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We will work through five modules:
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1. [CompMech01-Getting Started](module_01/README)
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1. [CompMech02-Analyze-data](module_02/README)
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1. [CompMech03-Initial Value Problems](module_03/README)
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1. [CompMech04-Linear Algebra](module_04/README)
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1. [CompMech05-Boundary Value Problems](module_05/README) **Bonus**
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## Course Objectives
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This course introduces students to computational methods in
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[Python](https://www.python.org/). The course introduces numerical
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methods, best programming practices, and version control.
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These methods will be applied to a number of physics-based problems.
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## Course Expectations
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Students are expected to create numerical approximations for linear and
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nonlinear problems, understand approximations due to floating point operations
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and numerical approaches and solve differential equations using numerical
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differentiation and integration. Students are also expected to learn basics of
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git version control, Python functions and programming best practices.
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Students are expected to work together, share resources, and build
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collaboratively. Any work that is turned in by an individual should
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reflect the student's understanding of the material.
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Students _should_
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- copy/paste code from textbook, then read through it to understand
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- post/share code examples and error messages
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- post/share code examples to resolve other students' issues
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- submit work that they can explain
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Students _should not_
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- submit other students' work as their own
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- submit work that they do not understand (copy-pasted without
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reading/understanding)
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## Course Information
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__Course Title:__ ME3255 - Computational Mechanics
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__Format:__ Online
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__Prerequisite:__ CE 2110 and MATH 2110 or 2130
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__Instructor__: Prof. Ryan C. Cooper __<[email protected]>__
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__Office Hours/Availability:__ by appointment
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<https://cooperrc.github.io>
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__Preferred Contact:__ Post questions and comments to
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[Discussions](https://github.com/cooperrc/computational-mechanics/discussions)
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<!-- __Teaching Assistants__: -->
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<!-- -->
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<!-- |section | TA | email| GitHub handle| office hours | Webex room | -->
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<!-- |---|---|---|---|---|---| -->
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<!-- | sec001 | Genevieve Kunkel | <[email protected]>| [@gmk19001](https://gitter.im/gmk19001)| Thu 12:30-2:30pm |<https://uconn-cmr.webex.com/meet/gmk19001>| -->
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<!-- | sec002 | Mohammad Madani | <[email protected]> | [@mahan-fcb](https://gitter.im/mahan-fcb) | Mon 1-3pm | | -->
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<!-- __Lectures__: -->
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<!-- - sec001: MWF 9:05-9:55am in BPB 130 -->
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<!-- - sec002: TTh 11:00-12:15pm in BOUS A106 -->
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__Prerequisite:__ CE 3110, MATH 2410Q
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__Tools used:__ [Python](https://www.python.org), [Jupyter](https://jupyter.org),
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[git](https://rogerdudler.github.io/git-guide/), and
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[GitHub](https://github.com)
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## Required Resources:
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- [Computational
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Mechanics](https://cooperrc.github.io/computational-mechanics/)
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materials are a combination of work from [Prof. Ryan C.
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Cooper](https://ryan-c-cooper.uconn.edu) at the University of Connecticut
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Mechanical Engineering Department and the [Engineering Computations
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Modules](https://github.com/engineersCode/EngComp) from Prof. Lorena A. Barba
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and doctoral student Natalia C. Clement at the George Washington University,
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Mechanical and Aerospace Engineering Department.
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- [Jupyter server at nanohub](https://nanohub.org/tools/compmech) is an
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interactive Jupyter notebook server. We will use it with Python to run our
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code, create documentation, and save assignments
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- [GitHub](https://github.com) If you prefer to
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keep your work private, you can create private repositories and share them
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with myself [@cooperrc](https://github.com/cooperrc).
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### Course Videos
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#### [@ProfRyanCooper YouTube Channel](https://www.youtube.com/@ProfRyanCooper)
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[Prof. Cooper's old YouTube
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Channel](https://www.youtube.com/channel/UC6oOZZrQwJpOkra-QSGy3GA) _for
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previous recordings and more resources_
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### Recommended _Free_ Resources:
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- [Barba, L.A., 2020. Engineers Code: reusable open learning modules for
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engineering computations. Computing in Science & Engineering, 22(4),
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pp.26-35. doi:10.1109/MCSE.2020.2976002 Preprint on arXiv::2001.00228](https://github.com/engineersCode/EngComp)
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- [Youtube: A hands-on Intro to Python for beginning programmers](https://youtu.be/rkx5_MRAV3A)
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- [RealPython tutorials, getting started: realpython.com/start-here/](https://realpython.com/start-here/)
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- [Markdown Cheatsheet: www.markdownguide.org/cheat-sheet](https://www.markdownguide.org/cheat-sheet/)
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- _Python for Everybody: Exploring Data Using Python 3_ (2016). Charles R.
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Severance. [PDF
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available](http://do1.dr-chuck.com/pythonlearn/EN_us/pythonlearn.pdf)
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- _Think Python: How to Think Like a Computer Scientist_ (2012). Allen Downey.
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Green Tea Press. [PDF
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available](http://greenteapress.com/thinkpython/thinkpython.pdf)
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- [SciPy Lecture Notes](https://scipy-lectures.org/)
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### Recommended _paid_ Textbooks:
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- Chapra, Steven, _Applied Numerical Methods with MATLAB for Engineers and
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Scientists_ 4th edition.
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- Kiusalaas, Jaan, _Numerical Methods in Engineering with Python 3_ Cambridge University Press (2013).
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## Minimum Technical Skills:
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- Ability to follow coding tutorials
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- Comfortable executing code in a prompt
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- Comfortable working in a web browser
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- Draw free body diagram and write equations of motion
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- Draw a control volume and write conservation of energy equations
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- Take derivatives and integrals of functions
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## Grading
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| Item | Percent | Requirement |
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|---------------|---------|---------------------------------------------------|
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| Participation | 30 % | Discussion questions on GitHub+, self assessed |
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| Homework | 30 % | Complete the module problem sets |
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| Projects | 40 % | Complete the module projects and submit to GitHub |
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__Participation__: The participation grade will be self-assigned. During
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week 7 you will submit your current grade and modes of participation,
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then during the final week submit an updated final grade.
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## Academic Integrity:
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- The instructors of this class have a zero-tolerance policy for academic misconduct, that
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is copying others' work either in the lab, field, or on an exam. Any student work that
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is found to be in violation of the university policy regarding academic misconduct
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will be assigned a grade of zero at a
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minimum.
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- Read and understand [The UConn Student Code of
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Conduct](http://www.community.uconn.edu/student_code.html "The Student Code for Academic
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Integrity"). Students will follow all University regulations concerning the final exam.
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## Course Schedule
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> Subject to change based upon feedback and pace of course
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The course schedule is kept up to date on the HuskyCT.
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## Grading Scale
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|Explanation|Letter Grade|GPA|
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|---|---|---|
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|Excellent|A|4|
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||A-|3.7|
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|Very Good|B+|3.3|
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|Good|B|3|
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||B-|2.7|
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||C+|2.3|
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|Average|C|2|
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|Fair|C-|1.7|
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|Poor|D+|1.3|
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||D|1|
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|Merely Passing|D-|0.7|
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|Failure|F|0|
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## Due Dates and Late Policy
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All course due dates are identified in HuksyCT. Deadlines are based on
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Eastern Time; if you are in a different time zone, please adjust your
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submittal times accordingly. The instructor reserves the right to change
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dates accordingly as the course progresses. _All changes will be
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communicated via the calendar or another appropriate notification._
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<!-- __Late Policy:__ There are no late submission penalties. If you fall -->
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<!-- behind on work _you must_ contact me and tell me: -->
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<!-- 1. When will you submit the assignment? -->
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<!-- 2. What help do you need? -->
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__Late Policy__: You must submit
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_something_ for every due date. You can resubmit any assignment to get
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points back, but if you miss the submission date, the grade will
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automatically updat to **0**. If you don't
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have any answers, write a question in each problem and we will give you
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feedback for you to resubmit the assignment.
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## Feedback and Grades
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We will make every effort to provide feedback and grades within 2
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business days. To keep track of your performance in the course, refer
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to grades in HuskyCT. You can resubmit any assignment with
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improvements. Add a private comment to your submission when you have
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incorporated comments.
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<!-- ## Student Authentication and Verification -->
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<!-- -->
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<!-- The University of Connecticut is required to verify the identity of students who -->
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<!-- participate in online courses and to establish that students who register in an -->
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<!-- online course are the same students who participate in and complete the course -->
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<!-- activities and assessments and receive academic credit. Verification and -->
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<!-- authentication of student identity in this course will include: -->
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<!-- -->
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<!-- 1. Secure access to the learning management system using your unique UConn NetID -->
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<!-- and password. -->
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<!-- -->
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<!-- 2. Video recordings to describe submissions -->
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## Student Responsibilities and Resources
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As a member of the University of Connecticut student community, you are held to
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certain standards and academic policies. In addition, there are numerous
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resources available to help you succeed in your academic work. Review these
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important [standards, policies and
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resources](http://ecampus.uconn.edu/policies.html), which include:
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* The Student Code
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* Academic Integrity
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* Resources on Avoiding Cheating and Plagiarism
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* Copyrighted Materials
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* Netiquette and Communication
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* Adding or Dropping a Course
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* Academic Calendar
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* Policy Against Discrimination, Harassment and Inappropriate Romantic
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* Relationships
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* Sexual Assault Reporting Policy
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## Students with Disabilities
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The University of Connecticut is committed to protecting the rights of
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individuals with disabilities and assuring that the learning environment is
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accessible. If you anticipate or experience physical or academic barriers based
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on disability or pregnancy, please let me know immediately so that we can
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discuss options. Students who require accommodations should contact the Center
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for Students with Disabilities, Wilbur Cross Building Room 204, (860) 486-2020
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or <http://csd.uconn.edu/>.
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## Software/Technical Requirements (with Accessibility and Privacy Information)
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The software/technical requirements for this course include:
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* Modern, up-to-date web browser e.g. [Chrome](https://www.google.com/chrome/), [Firefox](https://www.mozilla.org/en-US/), [Safari (Mac OS)](https://www.apple.com/safari/), or [Microsoft Edge](https://www.microsoft.com/en-us/edge)
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* HuskyCT
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* Python and Jupyter
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* Adobe Acrobat Reader (Adobe Reader Accessibility Statement, Adobe Reader Privacy Policy)
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* Dedicated access to high-speed internet with a minimum speed of 1.5 Mbps (4 Mbps or higher is recommended).
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* [Jupyter at nanohub](https://nanohub.org/tools/compmech)
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__NOTE:__ This course was not tested or designed for mobile devices.
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## Help
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[Technical and Academic Help](http://ecampus.uconn.edu/help.html) provides a guide to technical and academic assistance.

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