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Our Courses
Techniques of Design-Oriented Analysis
This course can also be taken for academic credit as ECEA 5706, part of CU Boulder’s Master of Science in Electrical Engineering degree. 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).
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Course by
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Self Paced
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12 hours
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English
Robotics: Aerial Robotics
How can we create agile micro aerial vehicles that are able to operate autonomously in cluttered indoor and outdoor environments? You will gain an introduction to the mechanics of flight and the design of quadrotor flying robots and will be able to develop dynamic models, derive controllers, and synthesize planners for operating in three dimensional environments. You will be exposed to the challenges of using noisy sensors for localization and maneuvering in complex, three-dimensional environments.
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Course by
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Self Paced
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18 hours
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English
Modern Robotics, Course 1: Foundations of Robot Motion
Do you want to know how robots work? Are you interested in robotics as a career? Are you willing to invest the effort to learn fundamental mathematical modeling techniques that are used in all subfields of robotics? If so, then the "Modern Robotics: Mechanics, Planning, and Control" specialization may be for you. This specialization, consisting of six short courses, is serious preparation for serious students who hope to work in the field of robotics or to undertake advanced study.
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Course by
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Self Paced
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24 hours
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English
Introduction to Data, Signal, and Image Analysis with MATLAB
Welcome to Introduction to Data, Signal, and Image Analysis with MATLAB! MATLAB is an extremely versatile programming language for data, signal, and image analysis tasks. This course provides an introduction on how to use MATLAB for data, signal, and image analysis.
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Course by
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Self Paced
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23 hours
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English
Mastering Programming with MATLAB
The course builds on the foundation laid by the first course of the Specialization called “Introduction to Programming with MATLAB.” It covers more advanced programming concepts such as recursion, vectorization, function handles, algorithm efficiency and others.
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Course by
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Self Paced
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56 hours
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English
Computational Neuroscience
This course provides an introduction to basic computational methods for understanding what nervous systems do and for determining how they function. We will explore the computational principles governing various aspects of vision, sensory-motor control, learning, and memory. Specific topics that will be covered include representation of information by spiking neurons, processing of information in neural networks, and algorithms for adaptation and learning.
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Course by
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Self Paced
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26 hours
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English
Predictive Modeling and Machine Learning with MATLAB
In this course, you will build on the skills learned in Exploratory Data Analysis with MATLAB and Data Processing and Feature Engineering with MATLAB to increase your ability to harness the power of MATLAB to analyze data relevant to the work you do. These skills are valuable for those who have domain knowledge and some exposure to computational tools, but no programming background.
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Course by
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Self Paced
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22 hours
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English
Introduction to Programming with MATLAB
This course teaches computer programming to those with little to no previous experience. It uses the programming system and language called MATLAB to do so because it is easy to learn, versatile and very useful for engineers and other professionals. MATLAB is a special-purpose language that is an excellent choice for writing moderate-size programs that solve problems involving the manipulation of numbers. The design of the language makes it possible to write a powerful program in a few lines.
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Course by
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Self Paced
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35 hours
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English
Exploratory Data Analysis with MATLAB
In this course, you will learn to think like a data scientist and ask questions of your data. You will use interactive features in MATLAB to extract subsets of data and to compute statistics on groups of related data. You will learn to use MATLAB to automatically generate code so you can learn syntax as you explore.
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Course by
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Self Paced
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19 hours
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English
Data Processing and Feature Engineering with MATLAB
In this course, you will build on the skills learned in Exploratory Data Analysis with MATLAB to lay the foundation required for predictive modeling. This intermediate-level course is useful to anyone who needs to combine data from multiple sources or times and has an interest in modeling. These skills are valuable for those who have domain knowledge and some exposure to computational tools, but no programming background.
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Course by
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Self Paced
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20 hours
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English
Object Tracking and Motion Detection with Computer Vision
In the third and final course of the Computer Vision for Engineering and Science specialization, you will learn to track objects and detect motion in videos. Tracking objects and detecting motion are difficult tasks but are required for applications as varied as microbiology and autonomous systems. To track objects, you first need to detect them. You’ll use pre-trained deep neural networks to perform object detection.
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Course by
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Self Paced
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14 hours
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English
Image Processing for Engineering and Science
As cameras become widespread, there are endless opportunities to process images and videos. This specialization is intended for engineers and scientists who need to analyze, design, and build systems using images or videos. You will explore real-world applications like: · How quickly is arctic ice melting? · Does an MRI image show a healthy brain? · Are large cracks appearing in a foundation? · What is the traffic flow during peak hours of the day? You will use MATLAB throughout this specialization.
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Course by
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Self Paced
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English
현대 로봇공학, 강좌 4: 로봇 동작 계획 및 제어
로봇이 어떻게 작동하는지 궁금하신가요? 로봇공학 커리어에 관심이 있으신가요? 로봇공학의 모든 하위 분야에서 사용되는 기초적인 수학적 모델링 기법을 열심히 학습할 준비가 되셨나요? 그렇다면, ‘현대 로봇공학: 역학, 계획 및 제어(Modern Robotics: Mechanics, Planning, and Control)’ 전문 과정이 여러분에게 안성맞춤일 수 있습니다. 이 전문 과정은 여섯 개의 짧은 강의로 이루어져 있으며, 로봇공학 분야에서 근무하기를 진지하게 희망하거나 심화 연구를 진행하려는 학생들에게 적합합니다. 단순한 기초 모음집이 아닙니다. 이 전문 과정의 강좌 4 ‘로봇 동작 계획 및 제어’에서는, 단순 맛보기가 아니라 로봇 운동 생성의 핵심 개념들을 배우게 될 겁니다.장애물이 있는 환경에서 로봇의 운동을 계획하고, 실시간으로 피드백을 제어하여 계획한 운동을 추적하는 것이죠. ‘현대 로봇공학’ 교과서의 챕터 10 ‘운동 계획’은 배위 공간, 그래프와 트리, 그래프 서치 등 기본적인 내용을 다룹니다.
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Course by
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Self Paced
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Korean
Computer Vision for Engineering and Science
Cameras are an integral component in many new technologies. Autonomous systems use cameras to navigate their environment, while doctors use small cameras to help guide minimally invasive surgical techniques. It is essential that engineers use computer vision techniques to extract information from these types of images and videos. In this specialization, you’ll gain the computer vision skills underpinning many of today’s top jobs.
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Course by
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Self Paced
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English
Modern Robotics, Course 3: Robot Dynamics
Do you want to know how robots work? Are you interested in robotics as a career? Are you willing to invest the effort to learn fundamental mathematical modeling techniques that are used in all subfields of robotics? If so, then the "Modern Robotics: Mechanics, Planning, and Control" specialization may be for you. This specialization, consisting of six short courses, is serious preparation for serious students who hope to work in the field of robotics or to undertake advanced study.
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Course by
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Self Paced
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22 hours
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English
Automating Image Processing
In this course, you will build on the skills acquired in Image Segmentation, Filtering, and Region Analysis to explore large sets of images and video files. It’s impractical to manually inspect results in large data sets. Automating image processing allows you to do your work more efficiently. At the end of this course, you’ll apply all the skills learned in this specialization to a final project. You’ll take the role of an engineer being asked to monitor traffic on a busy road. You’ll detect cars from a noisy video and analyze the results. You will use MATLAB throughout this course.
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Course by
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Self Paced
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13 hours
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English
Numerical Methods for Engineers
This course covers the most important numerical methods that an engineer should know, including root finding, matrix algebra, integration and interpolation, ordinary and partial differential equations. We learn how to use MATLAB to solve numerical problems, and access to MATLAB online and the MATLAB grader is given to all students who enroll. We assume students are already familiar with the basics of matrix algebra, differential equations, and vector calculus.
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Course by
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Self Paced
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42 hours
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English
Data Analysis and Visualization
By the end of this course, learners are provided a high-level overview of data analysis and visualization tools, and are prepared to discuss best practices and develop an ensuing action plan that addresses key discoveries. It begins with common hurdles that obstruct adoption of a data-driven culture before introducing data analysis tools (R software, Minitab, MATLAB, and Python). Deeper examination is spent on statistical process control (SPC), which is a method for studying variation over time.
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Course by
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Self Paced
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11 hours
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English
Quantitative Methods for Biology
Learn introductory programming and data analysis in MATLAB, with applications to biology and medicine.
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Course by
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24
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English
Practical Data Science with MATLAB
Do you find yourself in an industry or field that increasingly uses data to answer questions? Are you working with an overwhelming amount of data and need to make sense of it? Do you want to avoid becoming a full-time software developer or statistician to do meaningful tasks with your data? Completing this specialization will give you the skills and confidence you need to achieve practical results in Data Science quickly.
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Course by
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Self Paced
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English
Mathematics for Engineers
This specialization was developed for engineering students to self-study engineering mathematics. We expect students to already be familiar with single variable calculus and computer programming. Through this specialization, students will learn matrix algebra, differential equations, vector calculus, numerical methods, and MATLAB programming. This will provide them with the tools to effectively apply mathematics to engineering problems and to become well-equipped to pursue a degree in engineering.
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Course by
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Self Paced
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English
Computer Vision Basics
By the end of this course, learners will understand what computer vision is, as well as its mission of making computers see and interpret the world as humans do, by learning core concepts of the field and receiving an introduction to human vision capabilities. They are equipped to identify some key application areas of computer vision and understand the digital imaging process. The course covers crucial elements that enable computer vision: digital signal processing, neuroscience and artificial intelligence.
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Course by
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13 hours
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English
MATLAB Programming for Engineers and Scientists
This Specialization aims to take learners with little to no programming experience to being able to create MATLAB programs that solve real-world problems in engineering and the sciences. The focus is on computer programming in general, but the numerous language features that make MATLAB uniquely suited to engineering and scientific computing are also covered in depth.
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Course by
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Self Paced
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English
Machine Dynamics with MATLAB
Are you keen to design a vehicle suspension using MATLAB? In this course, you will start at the very beginning of dynamic modelling, simulation and analysis of a technical system using different MathWorks products.
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Course by
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32
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English
MATLAB Essentials
Master the essentials of data visualization, data analysis, programming, and app design interactively with MATLAB.
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Course by
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6
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English