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Improving your statistical inferences
This course aims to help you to draw better statistical inferences from empirical research. First, we will discuss how to correctly interpret p-values, effect sizes, confidence intervals, Bayes Factors, and likelihood ratios, and how these statistics answer different questions you might be interested in. Then, you will learn how to design experiments where the false positive rate is controlled, and how to decide upon the sample size for your study, for example in order to achieve high statistical power.
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Course by
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Self Paced
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28 ساعات
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الإنجليزية
Data-driven Astronomy
Science is undergoing a data explosion, and astronomy is leading the way. Modern telescopes produce terabytes of data per observation, and the simulations required to model our observable Universe push supercomputers to their limits. To analyse this data scientists need to be able to think computationally to solve problems. In this course you will investigate the challenges of working with large datasets: how to implement algorithms that work; how to use databases to manage your data; and how to learn from your data with machine learning tools.
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Course by
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Self Paced
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24 ساعات
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الإنجليزية
Introduction to Systems Biology
This course will introduce the student to contemporary Systems Biology focused on mammalian cells, their constituents and their functions. Biology is moving from molecular to modular. As our knowledge of our genome and gene expression deepens and we develop lists of molecules (proteins, lipids, ions) involved in cellular processes, we need to understand how these molecules interact with each other to form modules that act as discrete functional systems. These systems underlie core subcellular processes such as signal transduction, transcription, motility and electrical excitability.
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Course by
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Self Paced
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19 ساعات
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الإنجليزية
Sports and Building Aerodynamics
COURSE ABSTRACT: \nHave we reached the boundaries of what can be achieved in sports and building design? The answer is definitely “NO”. This course explains basic aspects of bluff body aerodynamics, wind tunnel testing and Computational Fluid Dynamics (CFD) simulations with application to sports and building aerodynamics. It is intended for anyone with a strong interest in these topics. Key fields addressed are urban physics, wind engineering and sports aerodynamics.\n\nCOURSE CONTENTS:\nThe course consists of 6 weeks.
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Course by
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Self Paced
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24 ساعات
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الإنجليزية
Introduction to Mechanical Engineering Design and Manufacturing with Fusion 360
Design for manufacturing is the process of designing parts, components, or products with the understanding surrounding design requirements for a specific manufacturing method. \n\nThis course explores the design for manufacture workflow and shows how to validate models and create the G code, the programming language needed to instruct the CNC machine on how to move. We practice the basics of part and assembly design, and tools such as animation, rendering, and simulations using Autodesk Fusion 360.
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Course by
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Self Paced
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7 ساعات
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الإنجليزية
Input Filter Design
This course can also be taken for academic credit as ECEA 5707, part of CU Boulder’s Master of Science in Electrical Engineering degree. 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.
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Course by
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Self Paced
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11 ساعات
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الإنجليزية
Current-Mode Control
This course can also be taken for academic credit as ECEA 5708, part of CU Boulder’s Master of Science in Electrical Engineering degree. 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.
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Course by
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Self Paced
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14 ساعات
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الإنجليزية
Averaged-Switch Modeling and Simulation
This course can also be taken for academic credit as ECEA 5705, part of CU Boulder’s Master of Science in Electrical Engineering degree. This is Course #1 in the Modeling and Control of Power Electronics course sequence. The course is focused on practical design-oriented modeling and control of pulse-width modulated switched mode power converters using analytical and simulation tools in time and frequency domains. A design-oriented analysis technique known as the Middlebrook's feedback theorem is introduced and applied to analysis and design of voltage regulators and other feedback circuits.
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Course by
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Self Paced
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16 ساعات
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الإنجليزية
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 ساعات
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الإنجليزية
Hardware Description Languages for FPGA Design
This course can also be taken for academic credit as ECEA 5361, part of CU Boulder’s Master of Science in Electrical Engineering degree. Hardware Description Languages for Logic Design enables students to design circuits using VHDL and Verilog, the most widespread design methods for FPGA Design. It uses natural learning processes to make learning the languages easy. Simple first examples are presented, then language rules and syntax, followed by more complex examples, and then finally use of test bench simulations to verify correctness of the designs.
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Course by
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Self Paced
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36 ساعات
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الإنجليزية