Course Description
Explore the mathematical foundations of wireless communication, RADAR, GPS navigation, signal analysis, stochastic systems, and modern communication engineering.
What You'll Learn
- Build mathematical intuition from fundamentals to advanced applications.
- Solve structured practice problems and exam-grade challenges.
- Apply mathematics to engineering, AI, and research scenarios.
- Gain confidence with concept-first visual instruction.
Curriculum
1. Applications In Signal Processing
Presentation Presentation lesson: Applications In Signal Processing
2. Complex Numbers Tutorial With Notation
Presentation Presentation lesson: Complex Numbers Tutorial With Notation
3. Control Theory Tutorial
Presentation Presentation lesson: Control Theory Tutorial
4. Expect Variance Covariance Tutorial
Presentation Presentation lesson: Expect Variance Covariance Tutorial
5. Expectation Variance Covariance Tutorial
Presentation Presentation lesson: Expectation Variance Covariance Tutorial
6. Fourier Analysis Tutorial
Presentation Presentation lesson: Fourier Analysis Tutorial
7. Linear Algebra Tutorial Unicode
Presentation Presentation lesson: Linear Algebra Tutorial Unicode
8. Mathematics For GPS Navigation Systems Updated
Presentation Presentation lesson: Mathematics For GPS Navigation Systems Updated
9. Mathematics For Wireless Communications
Presentation Presentation lesson: Mathematics For Wireless Communications
10. Mathematics In RADAR
Presentation Presentation lesson: Mathematics In RADAR
11. Optimization Tutorial
Presentation Presentation lesson: Optimization Tutorial
12. Probability And Statistics Tutorial
Presentation Presentation lesson: Probability And Statistics Tutorial
13. Random Variables And Distributions Tutorial
Presentation Presentation lesson: Random Variables And Distributions Tutorial
14. Stochastic Processes Tutorial
Presentation Presentation lesson: Stochastic Processes Tutorial
15. Time Frequency Analysis Tutorial
Presentation Presentation lesson: Time Frequency Analysis Tutorial