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ENGR 245

– Introduction to Materials Science and Engineering –

Prof. Bill Knowlton, Boise State University

Course Evaluation Forms & Directions

Course Syllabus* (as of 1/13/02)                    Former Course Evaluations: Spring 2001, Spring 2002

Electronic Course EvaluationOld & New
Course Time/Days/Place: 
noon – 1:15 pm; T-Th; ENGR 110 (Spring 2014)

Instructors: Professors Dave Estrada & Bill Knowlton

Text Book: Materials Science and Engineering – An Introduction,William D. Callister & David G. Rethwisch, 9th Edition (McGraw-Hill, 2014)  
Office Hours for Spring 2014: Wed: 4 – 5 pm (my office);  or by appointment, send e-mail (please do not call during office hours)
Discussion Section:  Monday: 12:30-1:30pm (ENGR 215) and 4-5pm (MEC 301); Tuesday: 1:30-2:45pm (Norco 431); Wednesday: noon – 1:15 pm (MEC 103).

Mathematica & Matlab Tutorial SessionsMonday:  12:30-1:30 pm in MEC103; Wednesday:  6:00-7:30 pm in MEC 103

Academic Calendar (e.g., Final exam schedule, Last day to add/drop, other deadlines)

 See Blackboard for Problem Sets

Problem Sets Problem Set Solutions
Prob. Set 1 & Ch. 3 Problems* Prob. Set 1 Solns*(posted 1/24/02)
Prob. Set 2* Prob. Set 2 Solns*(posted 2/10/02)
Prob. Set 3* Prob. Set 3 Solns*(posted 2/20/02)
Prob. Set 4* Prob. Set 4 Solns*(posted 2/21/02)
Prob. Set 5* Prob. Set 5 Solns*(Posted 3/6/02)
Prob. Set 6* Prob. Set 6 Solns*(Posted 3/15/02)
Prob. Set 7* Prob. Set 7 Solns*(Posted 4/11/02)
Prob. Set 8* Prob. Set 8 Solns*(Posted 4/18/02)
Prob. Set 9* Prob. Set 9 Solns*(Posted 4/27/02)

Exams:

Other:

Ch. 4 Notes on Composition *(Posted 4/8/02)

MATHEMATICA MODULES TO PERFORM TO BECOME PROFICIENT WITH MATHEMATICA:

  1. Module 1 –
  2. Module 2 – Mathematica as a Word Processor
  3. Module 3  – Lists, Rules, NSolve & Word Processing (also see Module 10)
  4. Module 4  –  Plotting Multiple Variables & Suppressing Plots – Table, Range, Evaluate
  5. Module 5  – Operators & Complex Conjugates
  6. Module 6  – Fitting data and extracting values
  7. Fitting Imported Data (Data 2Data 3); (Fitting Data Example – updated 4/22/07)
  8. Module 7  – Matrix & Linear Algebra
  9. Module 8 – Solving Differential Equations Using DSolve & NDSolve
  10. Module 9  – Arrows, Text, Legends, Horizontal & Vertical Lines (use of Epilog[ ])
  11. Module 10  – Solving Linear equations and plotting the answers. Use FindRoot[ ], Solve[ ], & DSolve[ ]  (also see Module 10)
  12. Module 11 – Special Functions
  13. Module 12 – Vectors

Mathematica Help:  “Hands-on Start to Mathematica” is an online training screen casts & videos: http://www.wolfram.com/broadcast/ ; Learning Center:http://www.wolfram.com/support/learn/ ;

MATH PROGRAM LINKS & EXAMPLES

Hands-on Start to Mathematica” is an online 8-part series of free training tutorials/videos that introduce key features of Mathematica. The links to the 8-part series are below.

Hands-on Start to Mathematica” – Part 1 (Notebooks); Part 2 (Methods to get Started), Part 3 (Basic Calculations); Part 4 (Basic Graphics); Part 5 (Making Interactive Models), Part 6 (Utilizing Data); Part 7 (Presentations); Part 8 (Complete Example);

In A Student’s Introduction to Mathematica screencast, you’ll get an introduction to Mathematicaand learn how it can help you tackle any type of problem—numeric or symbolic, theoretical or experimental, large-scale or small.

Bill’s Mathematica Help Page for Beginners (provides links similar to below)

Compares Mathematica, Maple, Matlab: Brief DescriptionCompare CommandsSyntax Differences

Mathematica: Information CenterMath Groups & ForumsStudent Forum

Mathematica Q.M. Examples

DATA ANALYSIS, FITTING DATA AND ERROR ANALYSIS OF DATA FITTING– SOME REFERENCES

[1] H. Motulsky & A. Christopoulos, “Fitting Models to Biological Data using Linear and Nonlinear Regression -A practical Guide to Curve Fitting, Version 4 (GraphPad Prism; 2003) p. 1-351.
[2]  Interpreting Regression Results – from OriginLabs