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Texas Tech Oct 09 Rubin H Landau Rubin H Landau 1st = Computational subatomic few-body systems 1st = Computational subatomic few-body systems (1966-2003) (1966-2003) 2nd = Research developments (1988-) 2nd = Research developments (1988-) broaden, broaden, Blended Multimodal Access to CP Curricula NSF (CCLI, CI-Team/EPIC), OSU, MSR © Rubin Landau, OSU © Rubin Landau, OSU Using Computation to Make Physics Using Computation to Make Physics Education More Relevant & Accessible* Education More Relevant & Accessible* Jo Nesbo Flaggermusmannen (The Bat Man ) Kakerlakkene (Cockroaches ) Rødstrupe (The Redbreast) Sorgenfri (Nemesis) Marekors (The Devil's Star) Frelseren (The Redeemer) Snømannen (The Snowman) Panserhjerte‘ (The Leopard)

Texas Tech Oct 09 Rubin H Landau 1st = Computational subatomic few-body systems (1966-2003) 2nd = Research developments (1988-) broaden, education Blended

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Texas Tech Oct 09

Rubin H LandauRubin H Landau1st = Computational subatomic few-body systems (1966-2003)1st = Computational subatomic few-body systems (1966-2003)2nd = Research developments (1988-) 2nd = Research developments (1988-) broaden, education broaden, education

Blended Multimodal Access to CP Curricula NSF (CCLI, CI-Team/EPIC), OSU, MSR

© Rubin Landau, OSU© Rubin Landau, OSU

Using Computation to Make Physics Using Computation to Make Physics Education More Relevant & Accessible*Education More Relevant & Accessible*

Jo Nesbo

Flaggermusmannen (The Bat Man) Kakerlakkene (Cockroaches)

Rødstrupe (The Redbreast) Sorgenfri (Nemesis)

Marekors (The Devil's Star) Frelseren (The Redeemer)

Snømannen (The Snowman) Panserhjerte‘ (The Leopard)

Texas Tech Oct 09

Contributing GroupContributing Group Manuel J Paez, University of Medellin, Colombia, SA, CoAuthor

C. E. Yaguna, J. Zuluaga, Oscar A. Restrepo, Guillermo Avendano-Franco Cristian Bordeianu, University of Bucharest, Romania, CoAuthor Paul Fink, Robyn Wangberg, CoAuthors Justin Elser, Chris Sullivan (system support) Sally Haerer, Saturo S. Kano (consultants, producers) Melanie Johnson (Unix Tutorials) Hans Kowallik (Computational Physics text, sounds, codes, LAPACK, PVM) Matthew Ervin Des Voigne (tutorials) Bertrand Laubsch (Java sound, decay simulation) Jon J Maestri (vizualizations, animations, quantum wave packets) Guenter Schneider, Al Stetz, David McIntyre (First Course) Juan Vanegas (OpenDX) Connelly Barnes (OOP, PtPlot) Phil Carter, Donna Hertel (MPI) Zlatko Dimcovic (Wavelets, Java I/O) Joel Wetzel (figures) Pat Cannan, Don Corliss, Corvallis High School (N-D Newton Raphson) Brian Schlatter Daniel Moore, (REU, Summer 98; Whitman College, WA) Justin Murray, (REU, Summer 98; Weber State University, Ogden, Utah Brandon Smith, (REU, Summer 97; Chico State/SDSC, CA) Paul D. Hillard, III (REU, Summer 96; Southern Univ, LA) Kevin Wolver, (REU, Summer 96; St Ambrose, IA)

And all the suffering students!

© Rubin Landau, OSU© Rubin Landau, OSU

Texas Tech Oct 09

Plan Plan Plan Plan

1. What is CP Education?

2. Need for CP Education?

3. Elements of CP Education

4. How (Best) to Provide it?

5. NEW: Debut CP eTextBook

6. Take Home Lessons

CS Math

CP

Physics

© Rubin Landau, OSU© Rubin Landau, OSU

D of SC

Texas Tech Oct 09 © Rubin Landau, CPUG© Rubin Landau, CPUG

1. CP Education = ?1. CP Education = ?1. CP Education = ?1. CP Education = ?

O.Y.

• MultiDisciplinary Problem Solving

• Learn by doing, individual Projects

• “Theory of CP” (grad, math)

• CS + Math + Physics in context

• More efficient, effective; Stimulate

• OK “physics” time

CS Math

CP

Physics

Texas Tech Oct 09 © Rubin Landau, CPUG© Rubin Landau, CPUG

2. Why Need 2. Why Need (Phys Ed)? (Phys Ed)?2. Why Need 2. Why Need (Phys Ed)? (Phys Ed)?

Historical rapid how do, science =? how do, science =?

Ph Ed: C > delivery tool; Ph Ed+Research

Computing (math) too important to leave to CS

CSE Toolset, Compt Sci Thinking = freedom

“We are teaching the same things we taught 50 years ago”

(APS/AAPT Taskforce on Grad Ed., R Diehl)

PH(t) narrows; CFD, MD, NLinear, QCD, Astro, Multi-scale, -PH

PH power = solve problem: basic prin’s, math; now + C

Texas Tech Oct 09 © Rubin Landau, CPUG© Rubin Landau, CPUG

2. Evidence Need 2. Evidence Need (Physics Ed)(Physics Ed)2. Evidence Need 2. Evidence Need (Physics Ed)(Physics Ed)

S, M, ESoftware

Texas Tech Oct 09

2. Need to Change Status Quo?2. Need to Change Status Quo?

© Rubin Landau, OSU© Rubin Landau, OSU

If work paradigm changes, education paradigm changes.

Steve Stevenson, Clemson

For every complex problem there is an answer that is clear, simple, and wrong. (C as tool in Ed = CP)

H. L. Mencken

You never change something by fighting the existing reality. To change something, build a new model that makes the existing model obsolete.

Buckminster Fuller

Texas Tech Oct 09 © Rubin Landau, CPUG© Rubin Landau, CPUG

≠ bad thing!

UG P overemphasize P = weaken

# STEM BS ≠ issue!

Death of Distance

2. What Do Physics Grads Do?2. What Do Physics Grads Do?

Texas Tech Oct 09

3. Elements of CP Education3. Elements of CP Education

Texas Tech Oct 09

Texas Tech Oct 09

© Rubin Landau, OSU© Rubin Landau, OSU

4. How: Computational Programs4. How: Computational Programs4. How: Computational Programs4. How: Computational ProgramsWhat's in a name? That which we call a rose By any other name would smell as sweet

• Goru; All politics localGoru; All politics local

• Use computers as tool in Use computers as tool in Courses= good, Courses= good, CPCP

• Computational Computational examples for coursesexamples for courses > demos> demos

• Need understand computational thinking & toolsNeed understand computational thinking & tools

• Easy expect 1 course teach entire subjectEasy expect 1 course teach entire subject (1>0)

• 5-6 US Undergraduate Degree Programs5-6 US Undergraduate Degree Programs

• 25 Minor, Concentration, Track, Emphasis, Option, … 25 Minor, Concentration, Track, Emphasis, Option, …

• Grad easier, Grad easier, constraints constraints

• Maybe best: new curiculum + new textsMaybe best: new curiculum + new texts(NY Botanical)

Texas Tech Oct 09

Texas Tech Oct 09

We want your texts!

Texas Tech Oct 09 © Rubin Landau, CPUG© Rubin Landau, CPUG

5. e.g. eText Book: 5. e.g. eText Book: Survey of CP + PYSurvey of CP + PY 5. e.g. eText Book: 5. e.g. eText Book: Survey of CP + PYSurvey of CP + PY Web technologies natural for education + computing

Vision: ebook (MathML pdf)

Now hot topic

Technology catching up

Tablet PC, eReaders

Live/search eqns, figs

Lectures (flash!), animations

Run codes, applets

Compadre (free)

Nat Science Digital Libe (free)

Princeton U Press: 1st (≤ $)

Texas Tech Oct 09

6.Take Home Lessons6.Take Home Lessons

Computing essential forefront researchComputing essential forefront research

CP: bring real-world problems into classroomsCP: bring real-world problems into classrooms

Multiscale, Multiphysics, multidisciplinary teamsMultiscale, Multiphysics, multidisciplinary teams

Rejuvenate Physics Ed + Modern Research & Tools Rejuvenate Physics Ed + Modern Research & Tools

Ph + CS + Math in problem/research context Ph + CS + Math in problem/research context

Learn all 3 better, frees time for C, App MathLearn all 3 better, frees time for C, App Math

Education Including Research = bestEducation Including Research = best

CS Math

CP

Physics

www.physics.oregonstate.edu/~rubin

Texas Tech Oct 09 © Rubin Landau, CPUG© Rubin Landau, CPUG

Two Lower-Division CoursesTwo Lower-Division Courses

Texas Tech Oct 09 © Rubin Landau, CPUG© Rubin Landau, CPUG

Contents of Upper-Division CoursesContents of Upper-Division Courses