Coursera

Techniques of Design-Oriented Analysis (Coursera)

Offered by University of Colorado Boulder,

This is Course #2 in the Modeling and Control of Power Electronics course sequence. The course is focused on techniques of design-oriented analysis that allow you to quickly gain insights into models of switching power converters and to translate these insights into practical converter designs. The design-oriented techniques covered are the Extra Element Theorem and the N-Extra Element Theorem (N-EET). Through practical examples, it is shown how the EET can be used to simplify circuit analysis, to examine the effects of initially unmodeled components, and to design damping of converters such as SEPIC and Cuk to achieve high-performance closed-loop controls.

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

The N-EET will allow you to perform circuit analysis and to derive circuit responses with minimum algebra. Modeling and design examples are supported by design-oriented MATLAB script and Spice simulations. After completion of this course, the student will gain analytical skills applicable to the design of high-performance closed-loop controlled switching power converters.
We strongly recommend students complete the CU Boulder Power Electronics specialization as well as Course #1 Averaged-Switch Modeling and Simulation 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)
After completing this course, you will be able to:
● Understand statement and derivation of the Extra Element Theorem
● Apply the Extra Element Theorem to converter analysis and design problems
● Understand the statement of the N-Extra Element Theorem
● Apply the N-Extra Element Theorem to converter analysis and design problems
● Apply techniques of design-oriented analysis to analysis, design, and simulations of switching converters
What You Will Learn

Understand statement and derivation of the Extra Element Theorem
Apply the Extra Element Theorem to converter analysis and design problems
Understand the statement of the N-Extra Element Theorem
Apply the N-Extra Element Theorem to converter analysis and design problems

Course 2 of 5 in the Modeling and Control of Power Electronics Specialization

Syllabus

WEEK 1
Extra Element Theorem
Introduction to Extra Element Theorem: statement, derivation, and application examples

WEEK 2
Design example: SEPIC frequency responses
Application of the Extra Element Theorem to analysis and design of complex converter transfer functions

WEEK 3
N Extra Element Theorem (NEET)
Introduction to N Extra Element Theorem: statement, and application examples

Go to Class

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

Related Courses

Coursera

University of Michigan

Introduction to 3D Modeling (Coursera)

CS: Design & Product

On this four-week practical course from the University of Michigan, you’ll not only learn how to use the Rhino software to create your 3D models, but you’ll also gain basic design skills to help bring your imagination to life. This course will guide you through 3D modeling within Rhino, so you’ll cover the fundamentals of the software as well as 3D modeling in general. You’ll first look at how to navigate the user interface and the different tools that you’ll be using to create models throughout this course. You’ll familiarize yourself with the 3D space and 3D objects before jumping straight in to create your own objects and building blocks.

Oct 5th 2026

4 Weeks

3D 2D Modeling

Coursera

University of Colorado Boulder

Current-Mode Control (Coursera)

Engineering Sci: Physics

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.

Sep 14th 2026

4 Weeks

Modeling Simulation Power Electronics

Coursera

Johns Hopkins University

Business Analytics with Excel: Elementary to Advanced (Coursera)

Business

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

Spreadsheets Excel Linear Programming

Coursera

University of Colorado Boulder

Modeling of Feedback Systems (Coursera)

Engineering

In this course, you'll explore modeling of dynamic systems and feedback control. The course begins with an introduction of control theory and the application of Laplace transforms in solving differential equations, providing a strong foundation in linearity, time-invariance, and dynamic system modeling.

Sep 14th 2026

5-12 Weeks

Modeling Control Systems Laplace Transform

Coursera

University of Lausanne

Healthy Urban systems Part 2 : Theories, models and tools (Coursera)

Health & Society

This MOOC is the second part (out of three parts) of the whole MOOC on Healthy Urban Systems. These PART II is very recommended (but not obliged) to take after the PART I and before the PART III. Once you understood the main concepts and visions of Urban Health, and the best practices of observation in PART I, you are ready to think about theories and to practice models for this PART II.

Sep 21st 2026

4 Weeks

Modeling Urban System Coursera Plus

Coursera

Duke University

Linear Regression and Modeling (Coursera)

Statistics & Data Analysis Data Science

This course introduces simple and multiple linear regression models. These models allow you to assess the relationship between variables in a data set and a continuous response variable. Is there a relationship between the physical attractiveness of a professor and their student evaluation scores? Can we predict the test score for a child based on certain characteristics of his or her mother? In this course, you will learn the fundamental theory behind linear regression and, through data examples, learn to fit, examine, and utilize regression models to examine relationships between multiple variables, using the free statistical software R and RStudio.

Sep 14th 2026

4 Weeks

Statistics Regression Modeling

Coursera

University of Naples Federico II

Autonomous Aerospace Systems (Coursera)

Engineering

The course aims to provide the knowledge needed to design and develop efficient driving and navigation solutions for autonomous vehicles. Driving can be strategic or tactical while navigation is the function that provides information about the position, speed and orientation of the vehicle. It is made by integrating measurement from different sources, such as sensors and receivers.

Sep 14th 2026

5-12 Weeks

Modeling Mechanical Engineering Simulation

Coursera

L&T EduTech

Design of Transmission Line: Modelling and Performance (Coursera)

Engineering

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.

Oct 5th 2026

3 Weeks

Modeling Performance Coursera Plus

Coursera

Johns Hopkins University

Precalculus: Mathematical Modeling (Coursera)

Sci: Mathematics

This course helps to build the foundational material to use mathematics as a tool to model, understand, and interpret the world around us. This is done through studying functions, their properties, and applications to data analysis. Concepts of precalculus provide the set of tools for the beginning student to begin their scientific career, preparing them for future science and calculus courses. This course is designed for all students, not just those interested in further mathematics courses.

Sep 21st 2026

4 Weeks

Calculus Computer Science Modeling

Coursera

University of California, San Diego

Big Data Modeling and Management Systems (Coursera)

Statistics & Data Analysis Data Science

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.

Sep 14th 2026

5-12 Weeks

Big Data Data Management Data Modeling

Coursera

Starweaver

Business Analysis: Key Definitions & Strategy Analysis (Coursera)

Business

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 21st 2026

4 Weeks

Risk Strategy Modeling

Coursera

University of Colorado Boulder

Converter Control (Coursera)

Engineering Eng: Electronics

This course teaches how to design a feedback system to control a switching converter. The equivalent circuit models derived in the previous courses are extended to model small-signal ac variations. These models are then solved, to find the important transfer functions of the converter and its regulator system. Finally, the feedback loop is modeled, analyzed, and designed to meet requirements such as output regulation, bandwidth and transient response, and rejection of disturbances.

Sep 14th 2026

4 Weeks

Circuits Power Electronics Converter Control