
Explore the fascinating mathematics behind making change for a googol dollars, uncovering surprising patterns and using infinite generating functions to solve this complex problem.

Comprehensive exploration of discrete mathematics, covering logic, sets, proofs, probability, and graph theory with practical examples and step-by-step problem-solving techniques.

Comprehensive exploration of discrete mathematics topics for GATE Computer Science, covering combinatorics, graph theory, set theory, logic, and more through lectures and problem-solving sessions.

Explore fundamental concepts in discrete mathematics, including set theory, logic, counting, functions, number theory, and formal languages. Develop problem-solving skills through proofs and practical examples.

Learn bioinformatics through hands-on problem-solving, covering DNA analysis, Python basics, transcription, data processing, and biological modeling.

Explore discrete and continuous mathematics, bridging concepts through indexing, function evaluation, area calculation, and random walks in computational thinking.

Explore geodesically convex optimization and its potential to prove P≠NP using gradient descent in this advanced seminar by renowned mathematician Avi Wigderson.

Explore high dimensional expanders with Irit Dinur, covering random walks, spectral expansion, and hypergraphs. Gain insights into this advanced topic in discrete mathematics and computer science.

Explore Boolean function analysis, covering influences, PCP theory, and hypercontractive inequalities. Gain insights into fundamental concepts and advanced techniques in discrete mathematics and theoretical computer science.

Explore lower bounds in complexity theory, communication complexity, and sunflowers. Delve into Boolean circuits, formulas, and key lemmas with expert insights from Toniann Pitassi.

Explore advanced topics in computational complexity, including circuit lower bounds, derandomization, and their connections. Gain insights into cutting-edge research and theoretical developments in computer science.

Explore advanced concepts in complexity theory, including proofs, circuits, and communication, with a focus on lower bounds and their implications for computational limits.

Explore quantum correlations, nonlocal games, and entanglement models in this seminar on MIP* = RE, delving into complexity theory and efficient tests for quantum phenomena.

Explore a unified framework for proving mixing bounds in Markov chains, connecting Spectral Independence and Stochastic Localization techniques through the concept of localization schemes.

Explore lifted expander graphs, their construction, and applications in theoretical computer science. Learn about symmetry structures, coding theory implications, and recent advancements in this field.

Explore locally testable codes with constant rate, distance, and locality. Learn about a new construction based on left-right Cayley complexes, addressing an open question in coding theory.

Explore determinantal point processes: definition, examples, and applications in random matrix theory, combinatorics, and machine learning. Survey key results and open questions.

Explore linear spaces of matrices with Avi Wigderson, covering motivations, structural results, algorithms, and open problems in mathematics and computer science.

Explore Chen's breakthrough on the KLS conjecture and Bourgain's slicing problem, covering key mathematical concepts, historical context, and implications for discrete mathematics and computer science.

Explore decision-making under uncertainty, focusing on the Pandora's Box problem with correlated costs. Learn about adaptive strategies and data-driven algorithm design in this advanced computer science seminar.

Explore associativity testing in discrete mathematics, covering key concepts, theorems, and applications in group theory and additive combinatorics.