Math materials for selfstudy (as prerequisites)
ATTENTION: Having confidence in relevant concepts in calculus, linear algebra, and statistics is crucial to ensure a smooth learning experience. If not, you must learn the following selfstudy materials before the course starts:

Calculus: Schaum's Outlines: Advanced Calculus (3rd Edition)

Functions; Graph of a Function; Maxima and Minima; Continuity: Chapter 3

Derivatives; Differentiability; The Differentiation of Composite Functions; Rules for Differentiation (chain rule); Derivatives of Elementary Functions: Chapter 4

Functions of Two or More Variables; Continuity; Partial Derivatives; Differentiation of Composite Functions: Chapter 6

Linear Algebra: Schaum's Outlines: Linear Algebra (4th Edition)

Vectors and Matrices; Matrix operations: Chapters 1.1  1.6; 2.1  2.7

Systems of Linear Equations: Chapters 3.1  3.5

Vector Spaces: Chapters 4.1  4.9

Inner Product Spaces; Orthogonality: Chapters 7.1  7.3, 7.5, 7.6

Determinants: Chapters 8.1  8.3

Diagonalization; Eigenvalues and Eigenvectors: Chapters 9.1  9.5

Statistics: Schaum's Outlines: Introduction to Probability and Statistics

Descriptive Statistics: Chapters 1.1  1.10

Sets and Counting: Chapters 2.1  2.14

Basic Probability: Chapters 3.1  3.7

Conditional Probability and Independence: Chapters 4.1  4.6

Random Variables and Probability Distributions: Chapters 5.1  5.11

Binomial and Normal Distributions: Chapters 6.1  6.5