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+# Computational Mechanics
+## ME 3255 Spring 2017
+### Github page: [https://github.uconn.edu/rcc02007/ME3255S2017.git]
+### Public (ipynb rendering)[https://github.com/cooperrc/ME3255S2017]
+
+### Course Description
+This course introduces students to scientific programming utilizing Matlab/Octave.
+Numerical methods, best programming practices and version control are introduced. These
+methods will be applied to a number of physics-based problems.
+
+### Course Expectations
+Students are expected to create numerical approximations for linear and nonlinear
+problems, understand approximations due to floating point operations and numerical
+approaches and solve differential equations using numerical differentiation and
+integration. Students are also expected to learn basics of git version control,
+matlab/octave functions and programming best practices. 
+
+
+**Lectures**: TTh 9:30-10:45 AM, Francis L. Castleman bdg (CAST) room 212
+
+**Instructor**: Prof. Ryan C. Cooper (ryan.c.cooper@uconn.edu)
+
+**Office hours**: Mon 2:30-4:30pm and Thur 11am-1pm in Engineering II room 315
+
+## Teaching Assistants:
+- Graduate: Peiyu Zhang <peiyu.zhang@uconn.edu>
+- Office hours: Friday 9:00-11:00am in Engineering II room 315
+
+## Course Information
+**Prerequisite:** CE 3110, MATH 2410Q 
+
+**Textbook:** Chapra, Steven, *Applied Numerical Methods with MATLAB for Engineers and
+Scientists* 3rd edition. 
+
+**Tools used:** [Matlab](https://www.mathworks.com/products/matlab.html), 
+[Octave](https://www.gnu.org/software/octave/) , [Github](https://github.com). 
+
+**Recommended tools:** Github Desktop, git, Atom (text editor), Vim (text editor), 
+Jupyter notebook (with matlab or octave kernel) 
+
+## Grading
+
+| Item | Percent | Requirement |
+|---------|---|---------------------------|
+| Homework | 50 % | Turn in homeworks by assigned due date|
+| Midterm Exam | 10 % | One midterm exam |
+| Final Project | 30 % | A final project that will consist of code and documentation |
+| Participation | 10 % | During class online form will be sent out, you must submit form with your user ID to get credit |
+
+### Note on Homework and online forms
+
+The Homeworks are graded based upon effort, correctness, and completeness. The forms are not graded at
+all, if they are completed you get credit. It is *your* responsibility to make sure your
+answers are correct. Use the homeworks and forms as a study guide for the exams. In
+general, I will not post homework solutions. 
+
+
+## Academic Integrity: 
+- The instructors of this class have a zero-tolerance policy for academic misconduct, that
+  is copying others' work either in the lab, field, or on an exam.  Any student work that
+  is found to be in violation of the university policy regarding academic misconduct
+   will be assigned a grade of zero at a
+  minimum.
+- Read and understand [The UConn Student Code of
+  Conduct](http://www.community.uconn.edu/student_code.html "The Student Code for Academic
+  Integrity"). Students will follow all University regulations concerning the final exam.
+
+## Course Schedule (which is subject to change based upon feedback and pace of course)
+| Week | Date |Chapter| Topic |
+|---|---|---|---|
+|1|1/17|1|Introduction to Numerical Methods and Github|
+|   |1/19|4|Intro con’d and Roundoff/Truncation Errors|
+|2|1/24|2|Intro to Matlab/Octave| 
+|   |1/26|3|Intro to m-files|
+|3|1/31||Consistent Coding habits|
+|   |2/2|5|Root Finding| 
+|4|2/7|6|Root Finding con’d|      
+|   |2/9|7| **Snow Day**|      
+|5|2/14|| Optimization |
+|   |2/16|8|Linear Algebra|
+|6|2/21|9|Linear systems: Gauss elimination|
+|   |2/23|10|Linear Systems: LU factorization|
+|7|2/28|11|Linear Systems: Error analysis|
+|   |3/2|12|Eigenvalues|
+|8|3/7|1-10 |Midterm Review|
+|   |3/9|1-10|Midterm|
+|9|3/14| N/A |Spring Break!|
+|   |3/16| N/A |Spring Break!|
+|10|3/21|12|Linear Systems: Iterative methods|
+|   |3/23|14|Curve fitting: linear regression|
+|11|3/28|15|Curve fitting: least squares and nonlinear regression|
+|   |3/30|17|Polynomial interpolation|
+|12|4/4|18|Splines and Piecewise Interpolation|
+|   |4/6|19|Numerical Integration Formulas|
+|14|4/11|20|Numerical Integration of Functions|
+|   |4/13|21|Numerical Differentiation|
+|15|4/18|22|ODEs: Initial value problem|
+|   |4/20|23|ODEs: Adaptive methods and stiff systems|
+|16|4/25|24|ODEs: Boundary value problems|
+|   |4/27||Wrap up and final project discussions|
+|17| 5/1  |Finals| Finals Best of Lucks!|