This course for practicing and aspiring data scientists and statisticians. It is the fourth of a four-course sequence introducing the fundamentals of Bayesian statistics. It builds on the course Bayesian Statistics: From Concept to Data Analysis, Techniques and Models, and Mixture models.
Bayesian 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 [...]
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, [...]
Cyber-physical systems (CPS for short) combine digital and analog devices, interfaces, networks, computer systems, and the like, with the natural and man-made physical world. The inherent interconnected and heterogeneous combination of behaviors in these systems makes their analysis and design a challenging task. [...]
The 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 [...]
This 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.
"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 [...]
This 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 [...]
This 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 [...]