S-duality for symplectic varieties and representation theory
The Fundamental Lemma
K-homology and index theory IV: The Baum-Connes Conjecture
K-homology and index theory III: Applications of K-homology
K-homology and index theory II: Geometric K-homology and the index theorem
K-homology and index theory I: K-theory from the viewpoint of functional analysis
Moduli spaces of complex surfaces
Crystal bases, Hecke algebras and equivalences of categories
Topology in two dimensions and Frobenius
Categories in Algebraic Geometry
for Quivers and Their Representations
The Physics of
bases for representations
to Geometric Representation Theory, Part 1
theorem and nonabelian homological algebra
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GRASP is a lecture series at the University of Texas at Austin, which is aimed at bringing some of the fundamental concepts and big picture of the GRASP areas to a wider audience (the intended target audience are beginning graduate students). These lectures will be digitally recorded and disseminated by streaming video, audio, and lecture notes through this website, with the goal of establishing an electronic resource for students (and others) wishing to be introduced to the GRASP subject areas. (The plan is for the website to also contain links to survey articles, scanned notes, and other helpful information.) The speakers are selected based in part on their ability to communicate fundamental ideas at a basic level to a broad audience.
iTunes: The GRASP lecture videos are now featured on the U\ T iTunes U site, w\ here they can be downloaded or viewed directly. The iTunes application on a Mac or PC, or an IOS device (iPhone, iPad) using the iT\ \ unes U App is required.
The GRASP lecture program is being developed in coordination with the Division of Instructional Innovation and Assessment (DIIA) at the University of Texas at Austin. Special thanks to Mike DeLeon for videotaping, editing, uploading and maintaining the lectures. Thanks also to Coco Kishi and Egan Jones for the web page and banner design. GRASP is partially supported by NSF grant DMS-0449830 (CAREER).
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