University of California, Santa Cruz Courses

C++ For C Programmers, Part A

26 ratings

This 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, 3 hours a week
• Self-Paced
• Paid Course

Bayesian Statistics: From Concept to Data Analysis

10 ratings

Learn Bayesian statistics from probability and Bayes' theorem to conjugate models for Bernoulli, Poisson, and normal data, plus Bayesian linear regression, using R or Excel.

• Coursera
• 4 weeks, 3 hours a week
• Self-Paced
• Paid Course

C for Everyone, Part 1: Programming Fundamentals

5 ratings

Learn to program in C step by step: data types and expressions, if/while/for control flow, functions and recursion, arrays and pointers, plus compiling and debugging.

• Coursera
• 6 weeks, 2 hours a week
• Self-Paced
• Paid Course

Russian History: from Lenin to Putin

825 ratings at Coursera

In 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, 4 hours a week
• Self-Paced
• Paid Course

The Holocaust: The Destruction of European Jewry

194 ratings at Coursera

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course, you will explore the Holocaust from the overlapping perspectives of literature and history—through memoirs, historical documents, poetry, documentary footage, filmic representations, and novels.

• Coursera
• 8 weeks, 4 hours a week
• Self-Paced
• Paid Course

Feminism and Social Justice

6408 ratings at Coursera

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.

• Coursera
• 5 weeks, 2 hours a week
• Self-Paced
• Paid Course

Bayesian Statistics: Techniques and Models

497 ratings at Coursera

Build, fit, and compare Bayesian models in R and JAGS: MCMC with Metropolis-Hastings and Gibbs sampling, linear regression, ANOVA, logistic and Poisson regression.

• Coursera
• 5 weeks, 6 hours a week
• Self-Paced
• Paid Course

AI, Empathy & Ethics

507 ratings at Coursera

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.

• Coursera
• 4 weeks, 1 hour a week
• Self-Paced
• Paid Course

C++ For C Programmers, Part B

337 ratings at Coursera

This 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, 3 hours a week
• Self-Paced
• Paid Course

C for Everyone, Part 2: Structured Programming

797 ratings at Coursera

Write structured programs in C to understand algorithms and computing processes at a deep level, then take a first step into more advanced programming with C++.

• Coursera
• 6 weeks, 2 hours a week
• Self-Paced
• Paid Course

Children Acquiring Literacy Naturally

192 ratings at Coursera

In 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.

• Coursera
• 3 weeks, 3 hours a week
• Self-Paced
• Paid Course

The History of Medicine: Philosophy, Science, and Psychology

88 ratings at Coursera

Trace the treatment of disease from mystical healing to Classical rationalism and modern science, touring Egypt, India, Greece, China and the Islamic world, plus drugs and alternative medicine.

• Coursera
• 5 weeks, 3 hours a week
• Self-Paced
• Paid Course

Bayesian Statistics: Mixture Models

63 ratings at Coursera

Learn mixture models: derive their likelihood function, fit them by maximum likelihood and Bayesian estimation, and apply them to data in R.

• Coursera
• 5 weeks, 4 hours a week
• Self-Paced
• Paid Course

Ecosystems of California

55 ratings at Coursera

Survey California's ecosystems: compare marine, freshwater and terrestrial systems, trace climate, soils and land use drivers, and examine managed range, fisheries and agriculture.

• Coursera
• 5 weeks, 2 hours a week
• Self-Paced
• Paid Course

Cyber-Physical Systems: Modeling and Simulation

56 ratings at Coursera

Model and simulate cyber-physical systems: discrete-time and continuous-time processes, finite state machines, cyber-physical converters, digital networks, and trajectories over hybrid time domains.

• Coursera
• 4 weeks, 3 hours a week
• Self-Paced
• Paid Course