Sampling distributions including X^2, t, and F; order statistics; estimation of parameters, likelihood, sufficiency, significance test, simple linear regression and correlation; analysis of variance; non-parametric  procedures, elementary principles of experimental design.

Basic probability theory: laws of probability, conditional probability,  independence, Bayes formula, random variables, discrete and continuous distributions, expectations, moments, moment generating functions,  functions of random variables.

 Special distributions: binomial, geometric, negative binomial, Poisson,  hypergeometric, uniform, exponential, gamma, normal, laws of large  numbers, the Central Limit Theorem.

Ordinary linear differential equations: existence and uniqueness theorems (no proofs), Wronskians; solution in series for first and second order non-singular and regular singular equations; methods of Frobenius.

Fourier series: two-dimensional separable linear partial differential equations; solutions by separation of variables and Fourier series.

Functions of a single complex variable: continuity, differentiability, Cauchy-Riemann equations; analyticity, power series; Cauchy's Theorem and applications to evaluation of integrals.

Sequences: Convergence, limit theorems, monotone sequences, Cauchy sequences.

 

Continuity: limits and limit laws; continuity; the intermediate value  theorem; uniform continuity.

 

Differentiability: The derivative and its properties; Rolle's theorem, the Mean-Value theorem.

 

Integration: Introduction to the theory of Riemann integral; Riemann sums; the Fundamental Theorem of Calculus; improper integrals;  functions defined by integrals.

 

Matrices: rank and nullity; vector spaces and bases; linear transformations; determinants; inner product spaces; eigenvalues and eigenvectors.

Elements of set theory: elements of proof theory, relations and functions; Groups, including fine permutation groups; Rings and the Euclidean algorithm; homomorphisms; fields.

One and two variable calculus; convergences of series; solutions of ordinary differential equations; elementary vector analysis in R^3, coordinate systems in R^2 and R^3.

Calculus and algebra;

Functions of one variable: limits, continuity, differentiation and integration; common functions and inverse functions; mean value theorem; Taylor and Mclaurin expansions.Functions of two variables: limits, continuity and differentiation.

Vectors: dot, cross and mixed products; geometrical problems: line, planes. Matrices: definitions, properties, solution of linear equations. Complex numbers: polar representation.

Sequences and series: criteria for convergence; techniques of integration, the Fundamental Theorem of Calculus; properties of differentiable functions; Taylor series; ordinary differential equations; an introduction to partial derivatives; parametric representation of curves.

Logic: Elementary set theory; basic concepts in logic, logical arguments

and proofs.

Algebra: Binary operations; relations; functions; injective, bijective, and

invertible functions.

Real numbers: The natural numbers; induction; the axioms of the real

number system; solving inequalities.

  

Complex numbers: Complex arithmetic, the polar form of a complex

number; Argand diagrams; powers and roots of a complex number.