E-PSCI 102: Data Analysis and Statistical Inference in the Earth and Environmental Sciences

Students will become familiar with techniques in statistical inference, deterministic and stochastic models of data, regression, time series analysis, bootstrap and Markov Chain Monte Carlo methods, and receive a brief introduction to machine learning. The course emphasizes hands-on learning: all examples we use are real data sets drawn from current research in the Earth, atmospheric, and planetary sciences. Familiarity with single variable calculus is required while multivariable calculus is recommended, but not required. 

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