Course Calendar - Brandeis Biol 107a

Course Calendar

Note: all lab responses are due 1 week after the lab is done in class.

All problem sets/homework are due at the BEGINNING of class on the indicated date.

Class meets 3:30pm - 4:50pm

August/September 2019

8/29(Th) Lab 1.1 Getting started: Matlab and Data Analysis/Stats basics

9/03(Tu) Lab 1.2 Variables, Functions, and Simple Plots

9/05(Th) Lab 1.3 More plotting and (dot) m-files

9/10(Tu) *PS1.1 due. Lab 1.4 M-file Management; Differences in Cumulative Histograms

9/12(Th) Lab 1.5 Did my drug really work? Statistical inference

9/17(Tu) Lab 1.6: What was the impact of my drug on average?

09/19(Th) *PS1.2 due. Lab 1.7: Basic sample descriptors; tinkering with plots

09/24(Tu) Lab 1.8 How well did my drug do? Variance explained and discriminability

09/26(Th) Lab 2.1: Describing data with fits (models)

October 2019

10/08(Tu) *PS1.3 due. Lab 2.2: Using fitting as a tool, not like a fool

10/10(Th) Lab 2.3: Creating robust index values

10/17(Th) Lab 2.4: Dealing with a truckload of data

10/22(Tu) *PS2.1 due. Lab 3.1: Time series: correlation, feature detection, rates (Society for Neuroscience Meeting)

10/24(Th) Lab 3.2: Frequency and Fourier analysis

10/29(Tu) Work day

10/31(Tu) *Team project 1 presentations

November 2019

11/05(Th) Lab 3.3: Convolution and filtering

11/07(Th) Lab 4.1 Basic image representations

11/12(Tu) *TP1 write-up due. Lab 4.2: Digital image representations of the physical world

11/14(Th) *PS3.1 due. Lab 4.3: Image analysis: regions of interest

11/19(Tu) 4.4 Image analysis: functional imaging

11/21(Th) *Team project 2 presentations

11/26(Tu) *TP2 write-up due. 5.1 High-dimensional space: data points as vectors

December 2019

12/03(Tu) *PS4.1, 5.2 High-dimensional space: clustering and data dimensionality reduction

12/05(Th) 5.3 High-dimensional space: interpolation; how principle component analysis works

12/10(Tu) Team project 3 presentations

12/17(Tu) **ALL MATERIAL DUE 5pm (TP 3 write-ups, + any remaining labs turned in)**