I starting in actuarial mathematics in September, so I would like to get ahead a bit and do some learning on my own. These are my obligatory courses:(adsbygoogle = window.adsbygoogle || []).push({});

So if anyone knows a good place where I could get ahead and start learning any of these topics, please go ahead and post it. MATH 251 Linear Algebra I (3 credits)

Matrices and linear equations; vector spaces; bases, dimension and rank; linear mappings and algebra of linear operators; matrix representation of linear operators; determinants; eigenvalues and eigenvectors; diagonalization.

MATH 252 Linear Algebra II (3 credits)

Characteristic and minimum polynomials; invariant subspaces, invariant direct sums; nilpotent operators, Jordan

canonical form; cyclic subspaces; rational canonical form; bilinear and quadratic forms; inner product; orthogonality;

adjoint operators and orthogonal operators.

MATH 264 Advanced Calculus I (3 credits)

Introductions to limits and continuity in Rn. Multivariate calculus: the derivative as a linear approximation; matrix

representation of derivatives; tangent spaces; gradients, extrema, including Lagrange multipliers, TaylorÃ•s formula

and the classification of critical points.

MATH 265 Advanced Calculus II (3 credits)

Implicit functions and the implicit function theorem. Multiple integrals and change of variables. Curves, surfaces

and vector calculus.

MATH 354 Numerical Analysis (3 credits)

Error analysis in numerical algorithms; solution of non-linear equations; fixed point iterations, rate of convergence.

Interpolations and approximations, Legendre polynomials. Numerical integration and quadrature.

MATH 364 Analysis I (3 credits)

Mathematical rigour: proofs and counter examples; quantifiers; number systems; Cardinality, decimal representation,

density of the rationales, least upper bound. Sequences and series; review of functions, limits and continuity.

MATH 365 Analysis II (3 credits)

Connectedness and compactness in the reals. Intermediate value theorem; extreme values for continuous functions.

Differential and integral calculus; fundamental theorem of calculus power series.

STAT 249 Probability I (3 credits)

Axiomatic approach to probability; combinatorial probability; discrete and continuous distributions; expectation;

conditional expectation; random sampling and sampling distributions.

STAT 250 Statistics (3 credits)

Point and interval estimation; hypothesis testing; Neyman Pearson Lemma and likelihood ratio tests; introduction to

correlation and regression.

ACTU 256 Mathematics of Finance (3 credits)

Measurement of interest; annuities and perpetuities; amortization and sinking funds; rates of return; bonds and

related securities; life insurance.

ACTU 257 Actuarial Mathematics I (3 credits)

Measurement of mortality; pure endowments; life insurance; net single premiums; life annuities; net annual

premiums; special topics.

ACTU 357 Actuarial Mathematics II (3 credits)

Net level premium reserves; multiple life functions; multiple decrements; the expense factor; special topics.

ACTU 457 Risk Theory (3 credits)

Applications of contingency theory in life and health insurance, annuities and pension; individual risk theory, ruin

theory.

ACTU 458 Credibility Theory (3 credits)

Credibility approach to inference for heterogeneous data; classical, regression and Bayesian models; illustrations with

insurance data.

ACTU 459 Loss Distributions (3 credits)

Probability model fitting to loss data; estimation and testing under a variety of procedures and sampling designs.

STAT 349 Probability II (3 credits)

Markov decision process and applications. Poisson process, queuing theory, inventory theory; applications.

STAT 360 Linear Models (3 credits)

Least-squares estimators and their properties. General linear model with full rank. Analysis of residuals; adequacy

of model, lack of fit test, weighted least squares; stepwise regression, Durbin-Watson statistic; one-way and two-way

analysis of variance.

STAT 460 Time Series and Forecasting (3 credits)

Time series, forecasting by trend and irregular components (using multiple regression analysis and exponential

smoothing); forecasting seasonal time series, additive and multiplicative decomposition methods, Box-Jenkins

methodology, moving average, autoregressive and mixed models.

STAT 461 Operations Research II (3 credits)

Simulation and Monte-Carlo techniques, selected topics in operations research.

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