In addition to the lectures and handouts (distributed after each lecture), you will find relevant topics discussed in great details in the following materials:

### Math materials for self-study (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 self-study 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

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