
The objective of the course is to teach key issues faced by entrepreneurs and managers at different stages of the life-cycle of an enterprise and is relevant both for aspiring entrepreneurs and for decision-makers in established enterprises.

This course is expected to provide information to the graduate and post-graduate students undergoing courses in nuclear engineering in IITs and other Universities on all aspects of nuclear safety.

The course discusses the characteristics that predict professional and personal success, as well as why some high potential individuals excel on the job while others derail. It also focuses on student participation and assignment work.

Explore the transformative potential of Big Data across sectors, its key qualities, and societal impact. Gain insights into data growth, digitalization, and value extraction in this thought-provoking lecture.

Explore the derivative in higher dimensions, extending single-variable concepts to multidimensional functions and introducing the derivative as a linear map for best approximation.

Explore manufacturing strategies, from output and operations to world-class practices. Learn about order winners, quality management, and achieving excellence in global manufacturing contexts.

Explore smart beta and alpha strategies in finance with Milind Sharma, covering machine learning, deep learning, and portfolio construction techniques for modern quantitative investing.

Explore the impact of sexual harassment in STEM academia, examining key findings, recommendations, and potential transformative effects of inclusive, harassment-free environments on research and innovation.

Explore reinforcement learning for trading wind power futures, covering energy security, market setup, and machine learning models in this NYU seminar by Bruno Kamdem.

Insightful discussion on cybersecurity careers, industry trends, and practical advice from a Tandon Cyber Fellow graduate, covering topics like threat actors, ransomware, and board communication.

Explore option pricing methodologies, from classic bottom-up to innovative top-down approaches, analyzing their strengths and applications in financial markets.

Explore optimal asset selling strategies using distribution builder approach, featuring efficient frontier analysis and embedding problem solutions.

Explore optimal asset selling strategies using distribution builder approach, analyzing utility functions, investor behavior, and market dynamics in this mathematical finance lecture.

Explore oil futures volatility smiles, comparing Bachelier and Black models. Gain insights into market behavior during 2020's unprecedented events through data analysis and theoretical frameworks.

Explore optimal execution strategies in financial markets, focusing on quadratic variation inventories and automated trading, with insights from Princeton researcher Laura Leal.

Explore James-Stein estimation for minimum variance portfolios, addressing optimization bias and enhancing portfolio construction techniques in quantitative finance.

Explore a factor model for company valuation with Prof. Liuren Wu, covering topics like liquidity, evaluation factors, and value investing in this insightful finance lecture.

Explore equilibrium existence in limited participation economies with Kim Weston. Learn about logarithmic preferences, exponential investors, and key assumptions in this advanced mathematical finance lecture.

Explore financial modeling with Federico Bandi, covering spectral factor models, consumption components, and predictability in stocks and bonds, with insights on aggregation and pricing.

Explore optionality as a binary operation with Peter Carr, delving into time relativity, market building, and advanced concepts like conjugate power and skewness in financial engineering.

Explore financial turbulence with Mike Lipkin, covering topics like order drop, rough paths, and hedging strategies in this insightful lecture on advanced quantitative finance concepts.