Signals and Systems, Part 1

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9/10 stars
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Course Details

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FREE

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  • On demand

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edX online courses
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Provider Subject Specialization
Sciences & Technology
Business & Management
22230 reviews

Course Description

We encounter signals and systems extensively in our day-to-day lives, from making a phone call, listening to a song, editing photos, manipulating audio files, using speech recognition softwares like Siri and Google now, to taking EEGs, ECGs and X-Ray images. Each of these involves gathering, storing, transmitting and processing information from the physical world. This course will equip you to deal with these tasks efficiently by learning the basic mathematical framework of signals and systems.

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 cou...

We encounter signals and systems extensively in our day-to-day lives, from making a phone call, listening to a song, editing photos, manipulating audio files, using speech recognition softwares like Siri and Google now, to taking EEGs, ECGs and X-Ray images. Each of these involves gathering, storing, transmitting and processing information from the physical world. This course will equip you to deal with these tasks efficiently by learning the basic mathematical framework of signals and systems.

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.

Reviews 9/10 stars
8 Reviews for Signals and Systems, Part 1

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Rankings are based on a provider's overall CourseTalk score, which takes into account both average rating and number of ratings. Stars round to the nearest half.

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Fedor Bublikov profile image
Fedor Bublikov profile image

Fedor Bublikov

10/10 starsTaking Now
1 year, 3 months ago
Who could ever imagine that videos with professor talking about his subject enthusiastically in front of camera and showing endless mathematical derivations could be so engaging. Professor Gadre has some kind of warm aura, which urges lazy average student like me trying his/her best not to do badly in the class. And class has a lot of points to get bad at, as mathematics there is not for the faint of heart - as stated in the prerequisites, fluency with differential and integral calculus is a must, with the couple of general results from linear algebra thrown in the blender as well. Class lost a couple of elementary topics during online transition (periodicity, lengthy power/energy integral calculations, manipulation with graphs), but fear not, as LSI systems together with Fourier analysis are studied in all its gory details. 6 hours per week might be enough for the student to grasp the concepts presented, but I assume those 6 hours a... Who could ever imagine that videos with professor talking about his subject enthusiastically in front of camera and showing endless mathematical derivations could be so engaging. Professor Gadre has some kind of warm aura, which urges lazy average student like me trying his/her best not to do badly in the class. And class has a lot of points to get bad at, as mathematics there is not for the faint of heart - as stated in the prerequisites, fluency with differential and integral calculus is a must, with the couple of general results from linear algebra thrown in the blender as well. Class lost a couple of elementary topics during online transition (periodicity, lengthy power/energy integral calculations, manipulation with graphs), but fear not, as LSI systems together with Fourier analysis are studied in all its gory details. 6 hours per week might be enough for the student to grasp the concepts presented, but I assume those 6 hours are dedicated for focused self-study, minus the lecture material and practice problems. As a minus, I believe the class would benefit if more ungraded practice problems would be added. This is EE core subject after all and is mostly mathematics at its heart, so a lot of people would need much more practice to get good at it (at least I usually do need a lot of practice in my all mathematics-based classes). I will definitely join the second session of the class and want to thank professor Gadre and his teaching Staff together with IIT Bombay for making this content available for all who is interested. More EE core subjects would be highly appreciated.
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Kaustubh Ashtekar profile image
Kaustubh Ashtekar profile image

Kaustubh Ashtekar

10/10 starsCompleted
1 year, 10 months ago
My new job had technology related to audio processing in frequency domain. I had not worked in this domain for almost my entire prior work life. I badly needed a basic course in signals and systems, to build up the foundation for me. This course fit my needs perfectly. Note that if you want to learn DSP, this is and absolute pre-requisite. While working through this course, I felt the need to take few digressions re-read and re-understand some math pre-requisite concepts like imaginary numbers, complex plane, some vector math. Khan Acedemy and betterexplained.com helped. Special Thanks to Prof. Gadre and IITB.
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Jonas Lima profile image
Jonas Lima profile image

Jonas Lima

10/10 starsTaking Now
2 years, 3 months ago
Fico muito feliz em saber que existe este curso disponível gratuitamente. Sou estudante na universidade UNEMAT SINOP, MATO GROSSO, BRAZIL.
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juhi mittal profile image
juhi mittal profile image

juhi mittal

6/10 starsTaking Now
2 years, 7 months ago
looking forward.Signal and system is a prerequisite for my neuroscience and psychology research , but I dont have any strong engineering background. I wish sir make the content nore accessible to us students in other domains of digital data analysis.
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student

10/10 starsTaking Now
3 years, 2 months ago
A very well taught course, though I am yet to complete it. Perhaps some additional questions to further aid understanding would be useful.
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student

10/10 starsCompleted
4 years, 5 months ago
Best course I have ever taken, Awesome teaching and actually discussion sessions are very awesome. Now signals seems to be easy .
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student

10/10 starsCompleted
4 years, 6 months ago
Good initiative taken by IITB, It will be a good course to know the beauty of Signals in the field of electronics. All the best to all my peers
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student

10/10 starsCompleted
4 years, 8 months ago
I hope it will be a great course and to go on with courses in EECS playground 000111
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