BSCI439N

Methods of analysis for time series and other data, including spatial data. Analysis methods include signal processing, statistics, and simpl modeling. Python programming is taught and used throughout the course. Topics include data smoothing, Fourier/frequency analysis, spectrograms and bootstrap error estimation. (Sponsoring Dept.: BIOL) Applies as an upper-level laboratory course to Biological Sciences Specialization Areas: CEBG, ECEV, GENB, and PHNB. Students must pay a $40.00 laboratory materials fee.