IIT BombayX is offering an online course on Signals and Systems, Part 2. The course provides the basic tool kit for any signal processing application: the abstraction of signals and systems, from the point of view of analysis and characterization.
About the course
Signals and systems involves gathering, storing, transmitting and processing information from the physical world. The course will equip student to deal with these efficiently by learning the basic mathematical framework of signals and systems.
Ideas introduced in this course will be useful in understanding further electrical engineering courses.
The concepts taught in this course are also useful to students of other disciplines like mechanical, chemical, aerospace and other branches of engineering and science
Course syllabus
The course is divided into two parts.
- In the first part (EE210.1x), we explore the various properties of signals and systems, characterization of Linear Shift Invariant Systems, convolution and Fourier Transform
- Building on that, in this part (EE210.2x) we will deal with the Sampling theorem, Z-Transform, discrete Fourier transform and Laplace transform
Prerequisites
- High school mathematics : Sequences and series, algebra of complex numbers, basic trigonometry
- Calculus: Differential and Integral calculus (single variable). Knowledge of differential equations is helpful but not required
- Concepts from EE210.1x: Analysis of continuous and discrete signals and systems in the natural/time domain, convolution, Continuous time Fourier analysis - the continuous Fourier Series and Fourier transform
Important dates
- Course length: 8 weeks
- Course begins on: 2 April
For details and registration click here