Courses from 1000+ universities
$7.2 billion in combined revenue since 2020. $8 billion in lost market value. This merger marks the end of an era in online education.
600 Free Google Certifications
Computer Science
Information Technology
Data Analysis
The Science of Gastronomy
Transforming Digital Learning: Learning Design Meets Service Design
Intelligenza Artificiale
Organize and share your learning with Class Central Lists.
View our Lists Showcase
Explore the closure of orbits in pure mapping class groups on character varieties, delving into Zariski dense subgroups and their applications in geometry and number theory.
Explore rigidity concepts in group theory, from representation to profinite, with applications in geometry and number theory. Gain insights into Zariski-dense subgroups and their implications.
Comprehensive introduction to Bruhat-Tits theory, exploring its foundations and applications in algebraic groups and number theory. Ideal for advanced mathematics students and researchers.
Explore random character varieties in algebraic groups, focusing on Zariski-dense subgroups and their applications in geometry, topology, and number theory.
Explore non-commensurable isospectral locally symmetric spaces with C.S. Rajan. Delve into advanced mathematical concepts and their applications in geometry and number theory.
Explore Zariski-dense subgroups, number theory, and geometric applications in this lecture on bounded generation of linear groups and Diophantine approximation.
Explore the fascinating world of active matter in complex environments, from biofilaments to flying birds. Learn about cutting-edge research and fundamental concepts from renowned experts.
Explore the fascinating world of neutron stars, their extreme physics, and the challenges in understanding these 'zombie stars' through astrophysical observations and theoretical models.
Explore techniques for extracting valuable insights from biomedical literature using text mining methods. Learn to process and analyze scientific texts for research and clinical applications.
Comprehensive overview of cancer, exploring its clinical challenges and introducing potential applications of machine learning in oncology research and patient care.
Explore advanced concepts in neutron star perturbation theory, focusing on mathematical models and physical implications for compact object behavior and gravitational wave emissions.
Explores mathematical modeling of tumor responses to radiotherapy, focusing on theoretical approaches to understand and predict treatment outcomes in cancer progression.
Explore mathematical and computational modeling approaches for cancer research, covering topics from age-structured populations to machine learning techniques for understanding disease progression and treatment.
Explore the non-left-orderability of arithmetic groups with higher real rank in this mathematical lecture, delving into advanced concepts in group theory and algebraic structures.
Exploration of CSP and unipotent generators in higher rank nonuniform arithmetic groups, discussing recent advancements and applications in algebraic and differential geometry.
Get personalized course recommendations, track subjects and courses with reminders, and more.