Harvard:Biophysics 101/2009:Schedule

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| [[Harvard:Biophysics_101/2009/Oct29|Thu Oct-29]]||George Church|| Prediction: from atoms to morphology. Physics of molecular engineeering || [[Media:09l_oct29.ppt|PPT]]
| [[Harvard:Biophysics_101/2009/Oct29|Thu Oct-29]]||George Church|| Prediction: from atoms to morphology. Physics of molecular engineeering || [[Media:09l_oct29.ppt|PPT]]
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| [[Harvard:Biophysics_101/2009/Nov3|Tue Nov-3]]||George Church|| Optimal Translation Codes || [[Media:09o_nov3.ppt|PPT]]
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| [[Harvard:Biophysics_101/2009/Nov3|Tue Nov-3]]||George Church|| Math & Computational teams || -
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| [[Harvard:Biophysics_101/2009/Nov5|Thu Nov-5]]||George Church|| Decision theory, learning algorithms || [[Media:09p_nov5.ppt|PPT]]
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| [[Harvard:Biophysics_101/2009/Nov5|Thu Nov-5]]||George Church|| Biology team || -
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| [[Harvard:Biophysics_101/2009/Nov10|Tue Nov-10]]||George Church|| Genome sequencing technologies || [[Media:09q_nov10.ppt|PPT]]
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| [[Harvard:Biophysics_101/2009/Nov10|Tue Nov-10]]||Sasha Wait & Harris Wang|| Trait-o-matic || [[Media:09q_nov10.ppt|PPT]]
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| [[Harvard:Biophysics_101/2009/Nov12|Tue Nov-12]]||George Church|| Class Project || [[Media:09r_nov12.ppt|PPT]]
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| [[Harvard:Biophysics_101/2009/Nov12|Thu Nov-12]]||George Church|| QTL & Epistasis models || [[Media:09r_nov12.ppt|PPT]]
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| [[Harvard:Biophysics_101/2009/Nov17|Tue Nov-17]]||George Church|| Extreme values; Classic Algorithms: alignment || [[Media:09s_nov17.ppt|PPT]]
| [[Harvard:Biophysics_101/2009/Nov17|Tue Nov-17]]||George Church|| Extreme values; Classic Algorithms: alignment || [[Media:09s_nov17.ppt|PPT]]
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| [[Harvard:Biophysics_101/2009/Nov19|Tue Nov-19]]||George Church|| Signal and Noise || [[Media:09t_nov19.ppt|PPT]]
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| [[Harvard:Biophysics_101/2009/Nov19|Tue Nov-19]]||George Church|| Decision theory, learning algorithms || [[Media:09t_nov19.ppt|PPT]]
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| [[Harvard:Biophysics_101/2009/Nov24|Tue Nov-24]]||George Church|| Class Project || [[Media:09u_nov24.ppt|PPT]]
| [[Harvard:Biophysics_101/2009/Nov24|Tue Nov-24]]||George Church|| Class Project || [[Media:09u_nov24.ppt|PPT]]

Revision as of 09:18, 9 November 2009

Biophysics 101: Genomics, Computing, and Economics

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Date Presenter(s) Topic Slides
Thu Sep-3George ChurchTechnological change, Cognitive Bias, Unintended ConsequencesPPT
Tue Sep-8George ChurchExponential Growth, Behavioral Economics, Physics of BiocomputersPPT
Tue Sep-15Harris WangProgramming Computers & Cells, Computer-Aided Design (CAD)PPT
Thu Sep-17Sasha Wait ZaranekPGP & Automated Genome Annotation PDF
Tue Sep-22George ChurchLogistic equation; silicon, neural, and DNA computing PPT
Thu Sep-24George ChurchExtreme quantitative traits, aging, bell curve statistics PPT
Tue Sep-29George ChurchPython, Trait odds-ratios, Chi-Square & population frequencies PPT
Thu Oct-1George Church(no class Oct 1) -
Tue Oct-6George Church(no class Oct 6) -
Thu Oct-8George Church Pharmacogenomics; ApoE ; Covariance PPT
Tue Oct-13George Church Metabolic Optima; Nutrigenomics PPT
Thu Oct-15Sasha Wait Zaranek Trait-o-matic : How to PDF
Tue Oct-20George Church Chalk: Single molecule sequencing ; Metabolic economics: optimization strategies PPT
Thu Oct-22 Student groups Project planning -
Tue Oct-27George Church Project Prioritization & Gene Interactions -
Thu Oct-29George Church Prediction: from atoms to morphology. Physics of molecular engineeering PPT
Tue Nov-3George Church Math & Computational teams -
Thu Nov-5George Church Biology team -
Tue Nov-10Sasha Wait & Harris Wang Trait-o-matic PPT
Thu Nov-12George Church QTL & Epistasis models PPT
Tue Nov-17George Church Extreme values; Classic Algorithms: alignment PPT
Tue Nov-19George Church Decision theory, learning algorithms PPT
Tue Nov-24George Church Class Project PPT
Tue Nov-26George Church Thanksgiving -
Tue Dec-1George Church Class Project PPT
Tue Dec-3George Church Genome Engineeering Technologies PPT
Tue Dec-8George Church Class Project PPT
Tue Dec-10George Church Class Project PPT
Tue Dec-15George Church Class Project -
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