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University of California, Santa Cruz Courses

UC Santa Cruz is an outstanding public research university with a deep commitment to undergraduate education. It’s a place that connects people and programs in unexpected ways while providing unparalleled opportunities for students to learn through hands-on experience.

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Conspiracy Planet

Conspiracy Planet

0

Class Central TipsLearn How to Sign up to Coursera courses for free1600+ Coursera Courses That Are Still Completely FreeThis course is for anyone interested in conspiracy theories. Millions of people around the world believe in conspiracy theories like The Protocols of the Elders of Zion, or that AIDS was deliberately created by governments and pharmaceutical companies, or that on September 11, 2001, the World Trade Center complex was downed not by airplanes, but by a “controlled demolition” masterminded by the United States national security state. What are we to make of these claims? What do they say about our societies? How do they impact history, or reflect larger historical trends? How do we understand the context of these ideas? And how do we understand them in relation to objectively confirmed conspiracies, of which there are at least as many? How do we know when a conspiracy has really happened, and cannot simply be dismissed as a ‘theory’? We will grapple with these questions together through short videos, quizzes that will help you check your understanding of the material, discussion, and a final project in which you will create your own conspiracy theory.

Coursera
7 weeks long, 9-10 hours worth of material
upcoming
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The Holocaust: The Destruction of European Jewry

The Holocaust: The Destruction of European Jewry

4.5

Class Central TipsLearn How to Sign up to Coursera courses for free1600+ Coursera Courses That Are Still Completely FreeThe Holocaust: The Destruction of European Jewry is an adaptation of an on-campus course that has been co-taught by Murray Baumgarten, Distinguished Professor of English and Comparative Literature (Literature Department), and Peter Kenez, Professor Emeritus (History Department), for over 20 years at UC Santa Cruz. In this course, you will explore the Holocaust from the overlapping perspectives of literature and history—through memoirs, historical documents, poetry, documentary footage, filmic representations, and novels. You will expand your knowledge of the literature of the Holocaust, Eastern and Western European Jewish communities, the origins and development of antisemitism, the establishment of labor and extermination camps, resistance movements, and the Holocaust as a problem for world history. There is more than one way to take this course: You can complete all of the activities (and earn a Verified Certificate) or only the activities that are most interesting to you. Whatever you choose to do, we encourage you to find a havruta (a study partner) in your community or in the Coursera community so that you can experience the course in a more interactive and meaningful way.

Coursera
8 weeks long, 30 hours worth of material
upcoming
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Feminism and Social Justice

Feminism and Social Justice

5

Class Central TipsLearn How to Sign up to Coursera courses for free1600+ Coursera Courses That Are Still Completely Free"Feminism and Social Justice" is an adaptation of Distinguished Professor Bettina Aptheker's long-running course at UC Santa Cruz. In the course, Professor Aptheker presents a broad definition of feminism that serves to frame three significant events in the history of feminism and social justice: the Empire Zinc strike of 1951, the 1971-1972 trial of Angela Davis, and the #metoo Movement.

Coursera
4 weeks long, 7-8 hours worth of material
ongoing
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Bayesian Statistics: Techniques and Models

Bayesian Statistics: Techniques and Models

5

Class Central TipsLearn How to Sign up to Coursera courses for free1600+ Coursera Courses That Are Still Completely FreeThis is the second of a two-course sequence introducing the fundamentals of Bayesian statistics. It builds on the course Bayesian Statistics: From Concept to Data Analysis, which introduces Bayesian methods through use of simple conjugate models. Real-world data often require more sophisticated models to reach realistic conclusions. This course aims to expand our “Bayesian toolbox” with more general models, and computational techniques to fit them. In particular, we will introduce Markov chain Monte Carlo (MCMC) methods, which allow sampling from posterior distributions that have no analytical solution. We will use the open-source, freely available software R (some experience is assumed, e.g., completing the previous course in R) and JAGS (no experience required). We will learn how to construct, fit, assess, and compare Bayesian statistical models to answer scientific questions involving continuous, binary, and count data. This course combines lecture videos, computer demonstrations, readings, exercises, and discussion boards to create an active learning experience. The lectures provide some of the basic mathematical development, explanations of the statistical modeling process, and a few basic modeling techniques commonly used by statisticians. Computer demonstrations provide concrete, practical walkthroughs. Completion of this course will give you access to a wide range of Bayesian analytical tools, customizable to your data.

Coursera
5 weeks long, 30 hours worth of material
upcoming
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Bayesian Statistics: Mixture Models

Bayesian Statistics: Mixture Models

0

Class Central TipsLearn How to Sign up to Coursera courses for free1600+ Coursera Courses That Are Still Completely FreeBayesian Statistics: Mixture Models introduces you to an important class of statistical models. The course is organized in five modules, each of which contains lecture videos, short quizzes, background reading, discussion prompts, and one or more peer-reviewed assignments. Statistics is best learned by doing it, not just watching a video, so the course is structured to help you learn through application. Some exercises require the use of R, a freely-available statistical software package. A brief tutorial is provided, but we encourage you to take advantage of the many other resources online for learning R if you are interested.This is an intermediate-level course, and it was designed to be the third in UC Santa Cruz's series on Bayesian statistics, after Herbie Lee's "Bayesian Statistics: From Concept to Data Analysis" and Matthew Heiner's "Bayesian Statistics: Techniques and Models." To succeed in the course, you should have some knowledge of and comfort with calculus-based probability, principles of maximum-likelihood estimation, and Bayesian estimation.

Coursera
5 weeks long, 22 hours worth of material
past
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Russian History: from Lenin to Putin

Russian History: from Lenin to Putin

4.5

Class Central TipsLearn How to Sign up to Coursera courses for free1600+ Coursera Courses That Are Still Completely FreeIn this course, Peter Kenez, Professor Emeritus at UC Santa Cruz, explains the events of modern Russian history and introduces its most significant actors—from Vladimir Lenin to Vladimir Putin.

Coursera
3 weeks long, 12 hours worth of material
upcoming
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The Holocaust

The Holocaust

4.8

Class Central TipsLearn How to Sign up to Coursera courses for free1600+ Coursera Courses That Are Still Completely FreeThis course focuses on the destruction of Jews in Europe by Nazi Germany,but the true scope of the course is much broader; exploring also the shiftinghistorical conditions from which the Holocaust emerged. Students will explorememoirs, historical documents, poetry, documentary footage, filmic representations,novels, and other media that help to illustrate the multiplicity and varietyof human experience during this important historical episode.By the end of the course, you will have an expanded knowledge and understandingof Eastern and Western Jewish communities, the origins and developmentof antisemitism, the formation and operation of concentration camps, theresistance movements, and the Holocaust as a problem for world-history.Additionally, you will have engaged with the problematics of representation,memory, "the memorial", and witnessing.This course is supported by the Neufeld-Levin Chair in Holocauststudies.

Coursera
3-6 hours a week
past
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لغة البرمجة C++ لمبرمجي اللغة C، الجزء (أ)

لغة البرمجة C++ لمبرمجي اللغة C، الجزء (أ)

0

Class Central TipsLearn How to Sign up to Coursera courses for free1600+ Coursera Courses That Are Still Completely Freeهذه الدورة مخصصة لمبرمجي اللغة C ذوي الخبرة الذين يرغبون في البرمجة بلغة C++. تتطلب الأمثلة والتمارين فهمًا أساسيًا للخوارزميات والبرمجيات الموجّهة للكائنات.

Coursera
5 weeks long, 15 hours worth of material
past
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Children Acquiring Literacy Naturally

Children Acquiring Literacy Naturally

0

Class Central TipsLearn How to Sign up to Coursera courses for free1600+ Coursera Courses That Are Still Completely FreeIn this short course you will explore the possibility that children might acquire written language in a way that is similar to how they acquire spoken language—without instruction. You will encounter various aspects of behavioral science and technology that are relevant to this proposition. You will have the opportunity to learn the the perceptual, cognitive, and neurological capacities of children during their first years of life. You will advance your understanding of children and how they learn language. You will also be more attuned to current advances in the technology of human machine interactions, and what these phenomena imply for learning to read at an early age.

Coursera
3 weeks long, 8-9 hours worth of material
past
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C++ For C Programmers, Part B

C++ For C Programmers, Part B

2

Class Central TipsLearn How to Sign up to Coursera courses for free1600+ Coursera Courses That Are Still Completely FreeThis course is for experienced C programmers who want to program in C++. The examples and exercises require a basic understanding of algorithms and object-oriented software.

Coursera
5 weeks long, 15 hours worth of material
upcoming
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Ecosystems of California

Ecosystems of California

0

Class Central TipsLearn How to Sign up to Coursera courses for free1600+ Coursera Courses That Are Still Completely FreeThis course surveys the diversity, structure and functioning of California’s ecosystems through time and the ways they have influenced and responded to human activities and stewardship. Topics include ecosystem drivers such as climate, soils, and land use history; human and ecological prehistory of the state; comparative marine, freshwater, and terrestrial ecosystem dynamics; and managed ecosystems such as range, fisheries and agriculture in California. The course also emphasizes important skills to understand as a scientist or consumer of scientific information, including data collection, natural history, and writing.

Coursera
5 weeks long, 12 hours worth of material
upcoming
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C for Everyone: Programming Fundamentals

C for Everyone: Programming Fundamentals

4

Class Central TipsLearn How to Sign up to Coursera courses for free1600+ Coursera Courses That Are Still Completely FreeThis course is for everyone. In the new world we live in, coding is a universally valuable skill, whether you're a scientist, artist, or a humanist. Algorithms are everywhere, and we all have to understand how they work. The C language is particularly well suited as an introduction to coding: It's a tried-and-true language, and it allows you to understand computing processes at a deep level. No prior knowledge of coding is needed for this course. We'll start at the beginning.The time estimated time commitment for this course is five hours a week for five weeks.

Coursera
6 weeks long, 15 hours worth of material
past
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AI, Empathy & Ethics

AI, Empathy & Ethics

0

Class Central TipsLearn How to Sign up to Coursera courses for free1600+ Coursera Courses That Are Still Completely FreeThis nontechnical course provides an overview of artificial intelligence advancements and the ethical challenges we now face as we navigate the development, implementation, and ubiquitous global use of AI.

Coursera
4 weeks long, 4-5 hours worth of material
ongoing
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Bayesian Statistics: From Concept to Data Analysis

Bayesian Statistics: From Concept to Data Analysis

3.5

Class Central TipsLearn How to Sign up to Coursera courses for free1600+ Coursera Courses That Are Still Completely FreeThis course introduces the Bayesian approach to statistics, starting with the concept of probability and moving to the analysis of data. We will learn about the philosophy of the Bayesian approach as well as how to implement it for common types of data. We will compare the Bayesian approach to the more commonly-taught Frequentist approach, and see some of the benefits of the Bayesian approach. In particular, the Bayesian approach allows for better accounting of uncertainty, results that have more intuitive and interpretable meaning, and more explicit statements of assumptions. This course combines lecture videos, computer demonstrations, readings, exercises, and discussion boards to create an active learning experience. For computing, you have the choice of using Microsoft Excel or the open-source, freely available statistical package R, with equivalent content for both options. The lectures provide some of the basic mathematical development as well as explanations of philosophy and interpretation. Completion of this course will give you an understanding of the concepts of the Bayesian approach, understanding the key differences between Bayesian and Frequentist approaches, and the ability to do basic data analyses.

Coursera
4 weeks long, 12 hours worth of material
ongoing
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C++ For C Programmers, Part A

C++ For C Programmers, Part A

3.3

Class Central TipsLearn How to Sign up to Coursera courses for free1600+ Coursera Courses That Are Still Completely FreeThis course is for experienced C programmers who want to program in C++. The examples and exercises require a basic understanding of algorithms and object-oriented software.

Coursera
5 weeks long, 13 hours worth of material
ongoing
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