| Date | Class | Lecture |
|---|
| 02 SEP 15: | CLASS #1 | Observation; Nature & Causes of Variability; Error & Uncertainty (Accuracy & Precision); Entropy & Information; Goals of Statistical Analysis; Why Statistics? |
| 09 SEP 15: | CLASS #2 | Histograms & Distributions (Frequency of Occurrence, Bayesian Interpretation): Averaging & Moments of Distributions; Sampling; Estimation Theory & Practice; Homework 1 Due 30 Sept |
| 16 SEP 15: | NO CLASS | - |
| 23 SEP 15: | NO CLASS | - |
| 30 SEP 15: | CLASS #3 | 2D Scatterplots (Higher Dimensions); Linear Correlations & Significance; Some Methods of Non-Linear Correlations; Vectors & Matrices; Variance & Correlation Matrices; Linear Regression Model; Homework 2 Due 14 Oct |
| 07 OCT 15: | CLASS #4 | 2D Cluster Analysis (Higher Dimensions); System Phase Spaces; Regimes & Classification; Conditional Sorting & Compositing; Homework 3 Due 21 Oct |
| 14 OCT 15: | CLASS #5 | Signal Analysis; Filtering, Interpolation; Fourier & Wavelet Analysis; Applications in Other Dimensions, Homework 4 Due 28 Oct |
| 22 OCT 21: | CLASS #6 | Principle Components Analysis, Homework 5 Due 04 Nov. Decide Final Presentation Topic by 28 OCT |
| 28 OCT 15: | CLASS #7 | Neural Networks for Statistical Analysis |
| 04 NOV 15: | NO CLASS | - |
| 11 NOV 15: | CLASS #8 | STUDENT PRESENTATIONS |
| 18 NOV 15: | NO CLASS | - |
| 25 NOV 15: | NO CLASS | - |
| 02 DEC 14: | CLASS #9 | STUDENT PRESENTATIONS |
| 09 DEC 14: | CLASS #10 | How to Analyze Complex Physical Systems |
