This course examines the nature of arguments: how to analyze them and assess the soundness of the reasoning they represent.

This course is open to participants of UCLA’s Global Classroom only. For more information, visit international.ucla.edu/institute/globalclassroom.

This course is open to participants of UCLA’s Global Classroom only. For more information, visit international.ucla.edu/institute/globalclassroom.

This course is open to participants of UCLA’s Global Classroom only. For more information, visit international.ucla.edu/institute/globalclassroom.

The first in a sequence of three courses (XL 13A, 13B, 13C), this course offers a comprehensive understanding of the cultural heritages, political institutions, economic developments, and social interactions that created contemporary American society.

This course is part of the UCLA Henry Samueli School of Engineering and Applied Science (HSSEAS) Master of Science in Engineering Online (MSOL) program.  It is available only to students pre-approved by HSSEAS. For more information visit msol.ucla.edu.

This course is part of the UCLA Henry Samueli School of Engineering and Applied Science (HSSEAS) Master of Science in Engineering Online (MSOL) program.  It is available only to students pre-approved by HSSEAS.  For more information visit msol.ucla.edu.

This course is part of the UCLA Henry Samueli School of Engineering and Applied Science (HSSEAS) Master of Science in Engineering Online (MSOL) program.  It is available only to students pre-approved by HSSEAS.  For more information visit msol.ucla.edu.

This course provides a hands-on introduction to the architecture, deployment, and management of Amazon Web Services (AWS).

This hands-on course helps you use predictive analytics for improving business performance using techniques such as data mining, statistics, modeling, machine learning, and artificial intelligence.

Data governance is an integrated framework of policies and technology applied to ensure effective data management. This course will help students to gain an understanding of various components that allow an enterprise to manage data.

Learn machine learning origins, principles, and practical applications, as well as implementation via the Python programming language. Students will learn to train a model, evaluate its performance, and improve its performance.

Learn tools for distributed data storage and large data set processing. This course focuses on architectures and technologies, including NoSQL and Hadoop.

Learn the iterative process of exploratory data analysis (EDA), data analysis techniques, data exploration, and visualization. Course tools include R for data analysis and Tableau for data visualization.

This course covers the key knowledge domains in data science, including data development and management, machine learning and natural language processing, statistical analysis, data visualization, and inference.

This hands-on course introduces core defensive strategies for various environments and explores remediation strategies for thwarting attacks.

This hands-on course explores common and specialized security tools for penetration assessments. Students will have the opportunity to create their own custom tool or an extension to a known tool.

The class will examine relevant policies and regulations along with auditing practices. Topics covered include auditing standards and ethics, privacy, intellectual property, and legal issues in cyberspace.

This course is part of the UCLA Henry Samueli School of Engineering and Applied Science (HSSEAS) Master of Science in Engineering Online (MSOL) program.  It is available only to students pre-approved by HSSEAS. For more information visit msol.ucla.edu. 

This course delivers a step-by-step methodology for securing any infrastructure through enhanced defenses to the core components of networks and databases.