Multivariable functions, partial differentiation and optimization. Vector analysis with physical applications. Integration in three dimensions: along curves, over surfaces and throughout regions of space. Identities including Gauss's divergence theorem and Stokes' theorem. The continuity, momentum and energy equations for fluid flow, expressed in 3D vector form. Mass transport (diffusion and advection), diffusion across a liquid/gas interface and light availability (Lambert-Beer model). Random variables, their probability distributions and expected values as summary measures. The Poisson, normal, exponential distributions and distributions useful in the analysis of extremes. Point and... -- Course Website
Instructor: Dr Andrew Percy
Prerequisites: MTH1030, MAT1085 or ENG1902 and ENG1603
