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COMPUTATIONAL MATHEMATICS

This course builds the mathematical foundation essential for programming, data science, machine learning, and scientific computing. Designed for learners across disciplines, it connects core math concepts with real-world computational applications. Through hands-on problems and guided instruction, students develop both conceptual clarity and practical problem-solving skills.

Solving Math Equations

01

Basic Mathematics Refresher – 2 Weeks

Modules:
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  1. Sets, Logic, and Number Systems

  2. Functions and Graphs

  3. Sequences, Series, and Limits

  4. Mathematical Notation for Computing

02

Linear Algebra – 12 Weeks

Modules:
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  1. Vectors, Matrices, and Operations

  2. Systems of Linear Equations

  3. Eigenvalues and Eigenvectors

  4. Applications in Graphics and ML

Image by Antoine Dautry

03

Image by Clay Banks

Probability and Statistics – 5 Weeks

Modules:
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  1. Descriptive and Inferential Statistics

  2. Random Variables and Distributions

  3. Bayes’ Theorem and Expectation

  4. Applications in Data Analysis

04

Multivariable Calculus – 4 Weeks

Modules:
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  1. Partial Derivatives and Gradients

  2. Multiple Integrals

  3. Vector Calculus

  4. Optimization and Real-World Models

Image by Bozhin Karaivanov
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