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Greek and Roman Mythology
by Peter Struck- 4.8
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Approx. 25 hours to complete
This course will investigate these questions through a variety of topics, including the creation of the universe, the relationship between gods and mortals, human nature, religion, the family, sex, love, madness, and death. Finally, through the lens of the Romans and others who "remythologize," we wrap up the course with a retrospective look at myth....
Transacting on the Blockchain
by Don Tapscott , Alex Tapscott- 4.8
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Approx. 16 hours to complete
Today, large intermediaries establish trust in our economy and control the movement, storage, and allocation of money and assets. In this course, we’ll address the many challenges of the status quo and discuss how cryptoassets, smart contracts, new identity systems, and new financial business models can help overcome them. Initial Coin Offerings: A New Breed of Meta-Asset...
Introduction to Public Health Engineering in Humanitarian Contexts
by Christoph Lüthi , Javier Cordoba- 4.8
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Approx. 12 hours to complete
They generate human sufferings on a greater scale, disrupt essential services, such as water supply or sanitation and put health of large population at risk. Course overview About the course Impact of protracted armed conflicts on essential urban services Summary of the week Example of medical waste management Exam of week 5...
Sharpened Visions: A Poetry Workshop
by Douglas Kearney- 4.8
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Approx. 8 hours to complete
This course is built on the notion that the most exciting writing begins after the first draft. Syllabus Course Resources Beauty’s in the Eye of the Bewildered: Harryette Mullen's [if your complexion is a mess. Metaphor and Other Formulas of Difference Just in the Nick of Rhyme Course Credits...
Introduction to Deep Learning & Neural Networks with Keras
by Alex Aklson- 4.7
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Approx. 8 hours to complete
This course will introduce you to the field of deep learning and help you answer many questions that people are asking nowadays, like what is deep learning, and how do deep learning models compare to artificial neural networks? • demonstrate an understanding of unsupervised deep learning models such as autoencoders and restricted Boltzmann machines. Syllabus Course Project...
Software Security
by Michael Hicks- 4.6
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Approx. 18 hours to complete
This course we will explore the foundations of software security. Importantly, we take a "build security in" mentality, considering techniques at each phase of the development cycle that can be used to strengthen the security of software systems. Tour of the course and expected background Syllabus Symbolic Execution as Search, and the Rise of Solvers...
Personal Leadership Development Planning and Leading High Performing Teams
by David Van Kleeck- 4.7
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Approx. 23 hours to complete
It lays the foundation for an evergreen process of selection and prioritization of skills, and action planning for sustained leadership development. Course Icon Legend Syllabus Model of Group Development Consequences of Team Mobilization Stages of Team Development...
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Engineering Practices for Building Quality Software
by Kevin Wendt- 4.5
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Approx. 18 hours to complete
You will also learn how to calculate a variety of quantitative metrics related to software quality. Welcome to the course Additional Measures of Quality Lack of Cohesion of Methods Lack of Documentation (as a metric) More Details of Code Coverage MC/DC Example You will understand quality approaches to post-development stages of the lifecycle....
Sample-based Learning Methods
by Martha White , Adam White- 4.7
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Approx. 22 hours to complete
We will wrap up this course investigating how we can get the best of both worlds: algorithms that can combine model-based planning (similar to dynamic programming) and temporal difference updates to radically accelerate learning. By the end of this course you will be able to: Course Introduction Solving the Blackjack Example...
Process Mining: Data science in Action
by Wil van der Aalst- 4.7
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Approx. 22 hours to complete
Through concrete data sets and easy to use software the course provides data science knowledge that can be applied directly to analyze and improve processes in a variety of domains. The course covers the three main types of process mining. Quick Note Regarding Quizzes in this Course 1: About the Last Two Weeks of This Course...
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