Input Filter Design (Coursera)

Input Filter Design (Coursera)

This is Course #3 in the Modeling and Control of Power Electronics course sequence. After completion of this course, you will gain an understanding of issues related to electromagnetic interference (EMI) and electromagnetic compatibility (EMC), the need for input filters and the effects input filters may have on converter responses.

Class Deals by MOOC List - Click here and see Coursera's Active Discounts, Deals, and Promo Codes.

You will be able to design properly damped single and multi-section filters to meet the conducted EMI attenuation requirements without compromising frequency responses or stability of closed-loop controlled power converters.
We strongly recommend students complete the CU Boulder Power Electronics specialization as well as Courses #1 (Averaged-Switch Modeling and Simulation) and #2 (Techniques of Design-Oriented Analysis) before enrolling in this course (the course numbers provided below are for students in the CU Boulder's MS-EE program):
Introduction to Power Electronics (ECEA 5700)
Converter Circuits (ECEA 5701)
Converter Control (ECEA 5702)
Averaged-Switch Modeling and Simulation (ECEA 5705)
Techniques of Design-Oriented Analysis (ECEA 5706)
After completing this course, you will be able to:
● Understand conducted electromagnetic interference (EMI) and the need for input filter
● Understand input filter design principles based on attenuation requirements and impedance interactions.
● Design properly damped single-stage input filters.
● Design properly damped multi-stage input filters.
● Use computer-aided tools and simulations to verify input filter design
Course 3 of 5 in the Modeling and Control of Power Electronics Specialization

Syllabus

WEEK 1
Introduction to Input Filter Design
Introduction to electromagnetic interference, the need for input filtering, and the input filter effects

WEEK 2
Single-Stage Input Filter Design
Design of single-section damped input filters

WEEK 3
Multi-Stage Input Filter Design
Design of multiple-section damped inputs filters

Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Converter Circuits (Coursera) Coursera
University of Colorado Boulder

Converter Circuits (Coursera)

This course introduces more advanced concepts of switched-mode converter circuits. Realization of the power semiconductors in inverters or in converters having bidirectional power flow is explained. Power diodes, power MOSFETs, and IGBTs are explained, along with the origins of their switching times. Equivalent circuit models are refined to include the effects of switching loss. The discontinuous conduction mode is described and analyzed. A number of well-known converter circuit topologies are explored, including those with transformer isolation.

Sep 14th 2026
4 Weeks
Calculus through Data & Modeling: Differentiation Rules (Coursera) Coursera
Johns Hopkins University

Calculus through Data & Modeling: Differentiation Rules (Coursera)

Calculus through Data & Modeling: Differentiation Rules continues the study of differentiable calculus by developing new rules for finding derivatives without having to use the limit definition directly. These differentiation rules will enable the calculation of rates of change with relative ease the derivatives of polynomials, rational functions, algebraic functions, exponential and logarithmic functions, and trigonometric and inverse trigonometric functions.

Sep 7th 2026
5-12 Weeks
Current-Mode Control (Coursera) Coursera
University of Colorado Boulder

Current-Mode Control (Coursera)

This is Course #4 in the Modeling and Control of Power Electronics course sequence. The course is focused on current-mode control techniques, which are very frequently applied in practical realizations of switched-mode. Practical advantages of peak current mode control are discussed, including built-in overcurrent protection, simpler and more robust dynamic responses, as well as abilities to ensure current sharing in parallel connected converter modules.

Aug 31st 2026
4 Weeks
Big Data Modeling and Management Systems (Coursera) Coursera
University of California, San Diego

Big Data Modeling and Management Systems (Coursera)

Once you’ve identified a big data issue to analyze, how do you collect, store and organize your data using Big Data solutions? In this course, you will experience various data genres and management tools appropriate for each. You will be able to describe the reasons behind the evolving plethora of new big data platforms from the perspective of big data management systems and analytical tools.

Aug 31st 2026
5-12 Weeks
Modelo de Ecossistema com Insight Maker (Coursera) Coursera
Coursera Project Network

Modelo de Ecossistema com Insight Maker (Coursera)

Neste curso baseado em projeto de 1 hora de duração, você criará um modelo que simula a dinâmica de três populações de espécies diferentes em um ambiente: formigas, tamanduás-bandeira e lobos-guará. Durante a criação de tal modelo você será apresentado ao Insight Maker, um ambiente de simulação online gratuito que permite diferentes tipos de modelagem como modelagem de sistemas dinâmicos e baseada em agente.

Aug 31st 2026
Self-Paced
Applied Text Mining in Python (Coursera) Coursera
University of Michigan

Applied Text Mining in Python (Coursera)

This course will introduce the learner to text mining and text manipulation basics. The course begins with an understanding of how text is handled by python, the structure of text both to the machine and to humans, and an overview of the nltk framework for manipulating text. The second week focuses on common manipulation needs, including regular expressions (searching for text), cleaning text, and preparing text for use by machine learning processes. The third week will apply basic natural language processing methods to text, and demonstrate how text classification is accomplished. The final week will explore more advanced methods for detecting the topics in documents and grouping them by similarity (topic modelling).

Sep 14th 2026
4 Weeks
Introduction to Power Semiconductor Switches (Coursera) Coursera
University of Colorado Boulder

Introduction to Power Semiconductor Switches (Coursera)

This course can also be taken for academic credit as ECEA 5721, part of CU Boulder’s Master of Science in Electrical Engineering. This course is primarily aimed at first year graduate students interested in engineering or science, along with professionals with an interest in power electronics and semiconductor devices .

Aug 31st 2026
4 Weeks
Design of Transmission Line: Modelling and Performance (Coursera) Coursera
L&T EduTech

Design of Transmission Line: Modelling and Performance (Coursera)

This course is designed to provide a detailed exploration of the critical elements involved in transmission lines' design, modeling, and performance assessment. By enrolling in this course, participants will not only gain theoretical knowledge but also practical skills that are directly applicable in the field of transmission line engineering. Whether you're a student aspiring to enter the industry or a professional seeking to deepen your expertise, this course offers a unique blend of theoretical insights and hands-on applications, equipping you with the tools to excel in this dynamic field.

Sep 7th 2026
3 Weeks
Business Analysis: Key Definitions & Strategy Analysis (Coursera) Coursera
Starweaver

Business Analysis: Key Definitions & Strategy Analysis (Coursera)

This comprehensive course provides a strong foundation in business analysis principles, techniques, and strategies. It covers essential topics such as the definition of business analysis, various requirement types, career paths in business analysis, and the Business Analysis Body of Knowledge (BABOK) guide. It also delves into key definitions and practical techniques used in business analysis.

Sep 7th 2026
4 Weeks
Business Analytics with Excel: Elementary to Advanced (Coursera) Coursera
Johns Hopkins University

Business Analytics with Excel: Elementary to Advanced (Coursera)

A leader in a data driven world requires the knowledge of both data-related (statistical) methods and of appropriate models to use that data. This Business Analytics class focuses on the latter: it introduces students to analytical frameworks used for decision making though Excel modeling. These include Linear and Integer Optimization, Decision Analysis, and Risk modeling. For each methodology students are first exposed to the basic mechanics, and then apply the methodology to real-world business problems using Excel.

Sep 21st 2026
5-12 Weeks