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VLSI Data Conversion Circuits

VLSI Data Conversion Circuits banner
Preview this course
Self-paced Advanced

VLSI Data Conversion Circuits

4(1581)
56 views
FREE
1381 min
Anytime
English
56 views
Team EveryEng
Team EveryEngMechanical Engineering
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Why enroll

Participants join this course to develop a strong understanding of VLSI data conversion circuits, which are fundamental to modern electronic and communication systems. They learn how Analog-to-Digital Converters (ADCs) and Digital-to-Analog Converters (DACs) are designed, analyzed, and optimized for performance, power, and accuracy. The course equips learners with practical knowledge of analog and mixed-signal IC design, making it valuable for careers in semiconductor, VLSI, embedded systems, and chip design industries.

Is this course for you?

You should take this if

  • You work in Electronics & Instrumentation
  • You're a Electrical Engineering / Electronics & Telecommunication professional
  • You have 3+ years of hands-on experience in this field
  • You prefer self-paced learning you can revisit

You should skip if

  • You're new to this field with no prior experience
  • You need a different specialisation outside Electrical Engineering
  • You need live interaction with an instructor

Course details

VLSI Data Conversion Circuits ,Course provides a comprehensive introduction to the design and analysis of data conversion circuits used in modern integrated systems. The course explores the principles of converting analog signals into digital data and digital signals back into analog form using ADCs and DACs. It covers the architectures, design techniques, and performance metrics of various data converters, including flash, SAR, pipeline, sigma-delta, and current-steering converters. Learners gain insights into key concepts such as sampling, quantization, noise, linearity, resolution, and dynamic performance. The course also discusses circuit-level implementation challenges, power efficiency, speed optimization, and precision design in CMOS technology. Practical design considerations and trade-offs are emphasized to help students understand real-world VLSI applications. Through theoretical explanations and design examples, participants develop the skills needed to analyze and design high-performance data conversion circuits. This course is ideal for students, researchers, and professionals interested in analog and mixed-signal VLSI design. It serves as an excellent foundation for careers in semiconductor, embedded systems, and integrated circuit design.

Source : nptelhrd [Youtube Channel]
Dr. Shanthi Pavan, Department of Electrical Engineering, IIT Madras

Course suitable for

Key topics covered

  • Introduction to Data Conversion

  • Sampling-1

  • Sampling-2

  • Nonidealities in Samples

  • Noise due to Sampling

  • Distortion in a Sampling Switch

  • Gate Boosted Switches-1

  • Gate Boosted Switches-2

  • Charge Injection

  • S/H Characterization - 1

  • S/H Characterization - 2

  • FFTs and Leakage

  • Spectral Windows - 1

  • Spectral Windows - 2

  • ADC/DAC Definitions

  • Quantization Noise - 1

  • Quantization Noise - 2

  • Oversampling & Noise Shaping

  • Delta-Sigma Modulation - 1

  • Delta-Sigma Modulation - 2

  • Linearized Analysis

  • Stability of Delta Sigma Modulators

  • High Order DSMs

  • NTF Design and Tradeoffs

  • Single Bit Modulators

Course content

The course is readily available, allowing learners to start and complete it at their own pace.

25 lectures23 hr 1 min
  1. Introduction to Data Conversion
    85 min
  2. Sampling-1
    68 min
  3. Sampling-2
    55 min
  4. Nonidealities in Samples
    54 min
  5. Noise due to Sampling
    57 min
  6. Distortion in a Sampling Switch
    59 min
  7. Gate Boosted Switches-1
    52 min
  8. Gate Boosted Switches-2
    55 min
  9. Charge Injection
    52 min
  10. S/H Characterization - 1
    51 min
  11. S/H Characterization - 2
    55 min
  12. FFTs and Leakage
    51 min
  13. Spectral Windows - 1
    51 min
  14. Spectral Windows-2
    54 min
  15. ADC/DAC Definitions
    49 min
  16. Quantization Noise - I
    51 min
  17. Quantization Noise -2
    57 min
  18. Oversampling & Noise Shaping
    53 min
  19. Delta-Sigma Modulation - 1
    53 min
  20. Delta-Sigma Modulation - 2
    53 min
  21. Linearized Analysis
    58 min
  22. Stability of Delta Sigma Modulators
    51 min
  23. High Order DSMs
    52 min
  24. NTF Design and Tradeoffs
    55 min
  25. Single bit Modulators
    50 min

Opportunities that await you!

Career opportunities

Why people choose EveryEng

Industry-aligned courses, expert training, hands-on learning, recognized certifications, and job opportunities-all in a flexible and supportive environment.

What learners say about this course

Aryan Raj Pandey
Aryan Raj Pandey Social Media Manager
Feb 25, 2026

At first glance, the topics looked familiar, but the depth surprised me. The course isn’t about engineering theory, yet it solved a real workflow problem I kept running into at work. Uploading technical material sounds trivial until you’re dealing with mixed content like an automotive CAN bus overview and a household appliance teardown on motor control. The demo showed exactly how to structure courses versus articles, and where seminars fit, which cleared up a gap I had around categorization. One challenge during my first try was getting the formatting right so diagrams and code snippets didn’t break on the site. The course walked through that process step by step, including image sizing and basic metadata, which saved me time. Another useful part was understanding how tags affect discoverability; that’s something I hadn’t paid attention to before. The biggest practical takeaway was a simple upload checklist that I now follow before publishing anything. It’s already helped me push internal training content faster without rework. Overall, it felt grounded in real engineering practice.

viren prajapati
viren prajapati piping stress engineer
Jan 19, 2026

.

Sayali Shinde
Sayali Shinde CR Manager
Aug 18, 2026

Good Course

Saurabh Kumar Gupta
Saurabh Kumar Gupta Content Manager
May 3, 2026

Not padded. Patterns from module one were already useful.

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