Signals and Systems, Part 1, an online course will be conducted by IIT Bombay. This course provides students a complete information on the basic toolkit for any signal processing application - the abstraction of signals and systems, from the point of view of analysis and characterisation.
About The Course:
This course is divided into two parts. In this part (EE210.1x), we will explore the various properties of signals and systems, characterization of Linear Shift Invariant Systems, convolution and Fourier Transform, while the next part (EE210.2x), will deal with the Sampling theorem, Z-Transform, discrete Fourier transform and Laplace transform.
Ideas introduced in this course will be useful in understanding further electrical engineering courses which deal with control systems, communication systems, power systems, digital signal processing, statistical signal analysis and digital message transmission. 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.
- How to unite abstractions for several kinds of systems, to draw a common system description
- How to identify properties that this system has or does not have
- How to deal with an important class of systems namely, linear shift invariant systems
- How to represent and analyze signals and systems in the Fourier domain
- Interested candidates should meet the following requirements:
- High school mathematics: Sequence and series, algebra of complex numbers, basic trigonometry.
- Calculus: Differential and Integral calculus (single variable). Knowledge of differential equations is helpful but not required.
- Corequisites: Basic circuit analysis - ohm's law, KVL, KCL
- Course Starts on: April 7
- Course Length: 22 weeks