Poker Theory and Analytics

This course presents an innovative approach to teaching linear algebra, focusing on key concepts and their interconnections. Learners will explore foundational topics and gain insights into the structure and applications of linear algebra through engaging video content.

This course is an introductory exploration of documentary film theory and production, focusing on documentaries about science, engineering, and related fields. Students engage in digital video production as well as social and media analysis of science documentaries.

This course focuses on the design and implementation of secure computer systems, exploring various threat models and security techniques. Learners will engage with topics such as operating system security, network protocols, and hardware security, drawing insights from recent research papers.

This course provides a comprehensive overview of the fundamental principles of biochemistry, genetics, molecular biology, and cell biology, with a specific focus on their applications in understanding human biology. Students will explore topics such as disease, developmental biology, neurobiology, and evolution, emphasizing biological functions at the molecular level.

This course explores the fundamental role of data structures in computer science, emphasizing their importance in developing efficient algorithms. Learners will study advanced topics, including dynamic graphs, memory hierarchy, and hashing, while engaging with current research directions in the field.

This course provides a comprehensive introduction to systems engineering, focusing on both classical and modern approaches. Learners will explore key concepts such as stakeholder analysis, requirements definition, system architecture, and design optimization, applying these principles to real-world projects.

This course explores the formation of chemical elements from the Big Bang to the life cycles of stars. Learners will study how elements like carbon and iron originate in the cosmos and their significance in the universe.

This course provides a fast-paced introduction to deep learning, focusing on practical model-building for complex problems involving unstructured data. Learners will explore deep neural networks, convolutional networks, transformers, and generative models like ChatGPT and Midjourney.

This course examines the chemical and physical properties of the cell and its building blocks, with a focus on protein structures and catalysis principles. Learners will explore metabolic pathways, including glycolysis and the Krebs cycle, to understand the chemistry behind biological processes.

This course connects algorithmic puzzles with computer programming, teaching students to code while solving engaging challenges. Learners will explore Python syntax and semantics as they tackle various puzzles, enhancing their programming skills in a fun and practical way.

This course introduces the dynamics and vibrations of lumped-parameter models in mechanical systems, focusing on kinematics, force-momentum formulations, and Lagrange's equations. Learners will also explore numerical methods and MATLAB® applications to solve dynamics and vibrations problems.

This course focuses on learning several rules to improve speaking skills in important situations. Learners can master effective presentation methods for various contexts, such as interviews, thesis defenses, and oral exams.

This course introduces the Reflective Practice approach developed by Donald Schön, focusing on how professionals can effectively combine their knowledge with practical situations. Learners will explore theories of learning and innovation to enhance their cognitive resources and improve their professional practice.

This capstone course focuses on integrating various disciplines of nuclear physics and engineering to tackle real-world design challenges in nuclear applications. Learners will engage in a group project to design a power plant that emphasizes emission-free electricity generation, carbon sequestration, and fossil fuel displacement.

This course introduces modeling and simulation techniques, focusing on continuum methods, atomistic and molecular simulation, and quantum mechanics. Learners will engage in hands-on training to apply these methods to significant engineering challenges.

This course introduces skills and capabilities for real-world problem-solving and taking technology from lab to societal impact. Innovation Teams is MIT’s original deep technology to impact innovation factory, the longest-running lab-to-market class at MIT, and is a collaboration between the School of Engineering and the Sloan School of Management.

This course covers the essential steps to start a new venture, whether for-profit or social. Learners will explore the journey from idea inception to launching a successful business, including customer identification, business models, financial projections, and more.

This course focuses on developing literacy skills in Chinese for learners with basic conversational abilities. Students will engage in reading and writing in both full and simplified characters, enhancing their everyday language usage.

This course provides practical instruction in the design and analysis of non-digital games. Students cover the texts, tools, references and historical context to analyze and compare game designs across a variety of genres, including sports, game shows, games of chance, card games, schoolyard games, board games, and role–playing games.

This course delves into the essential concepts of matrix calculus, focusing on its applications in machine learning and large-scale optimization. Learners will explore techniques to understand and compute derivatives of matrices and their factorizations, enhancing their ability to tackle complex mathematical operations in modern computing.

This lecture covers what makes 'companies where money accumulates structurally' different, and delves into the essence and structure of business that entrepreneurs and investors must know. It dissects a company's money-making system, focusing on the three axes of profitability, growth, and sustainability, and is designed to foster practical analytical skills and investment acumen through real-world case studies. This is a practical lecture where planners, startup founders, CEOs, solo developers, and investors can systematically learn the strategic thinking essential for all.

This course covers the practical impact that quantitative methods have had on today's most important companies. Learners will study key quantitative methods that create a competitive advantage, such as data mining, dynamic optimization, and simulation.

This is a Problem-Based Learning course where you go beyond simply learning how to use data analysis tools and follow stories based on business problems commonly encountered in practice to solve actual Business Questions.

This course provides an introduction to theory and data designed to meet the needs of students interested in economic science. It covers consumer choice, the theory of the firm, and general equilibrium models, along with the main results and tools used in these areas, applicable to economics and various other fields.

Data-driven decision-making, an essential skill in the era of digital transformation! As companies are going all out to find talent with digital capabilities, develop your BA skills to successfully solve organizational problems through this course!

If you're wondering, "I did the user research... but is this result truly representative of all users?" then pay attention! We will show you exactly how to add persuasiveness to your designs based on data. ✅ We explain complex statistical terms in very simple language. ✅ We carefully introduce the 3 core hypothesis tests essential for UX practice, covering everything from principles to hands-on practice. ✅ We show you how to easily analyze user data using AI—without costs or hallucinations.

This course introduces the fundamental tools of game theory, the mathematical analysis of strategic interaction. Learners will learn how to use game theory to analyze various economic situations.

This course is for those who want to study machine learning but lack statistical knowledge.

As the popularity and interest in AB Testing explodes, we will introduce Korea's first AB Testing lecture right now!

A precise analysis of 300 cases applying the 'Rule of Three' within the story, from the Oath of the Peach Garden to the unification of the Three Kingdoms, presented in a 600-page PDF. - Perfect Structuring: Provides overwhelming readability by standardizing every episode into the format of [Original Quote - Rule of Three Analysis - Business Application]. - Vast Archiving: A comprehensive compilation of 300 key milestones across 100 years of history, from the Yellow Turban Rebellion in 184 to the unification in 280, without any omissions. - Practical Utility: Non-exclusive data that goes beyond simple reading material, ready for immediate citation as strategic evidence for proposals, lecture materials, and organizational management.

This course introduces major approaches to symbol-based music theory and musicology. Learners will explore various topics, including music theory algorithms, music generation, and machine learning.

This course provides a comprehensive overview of aircraft as integrated systems, emphasizing key aspects such as systems engineering, performance analysis, and lifecycle management. Learners will engage in practical case studies, including a detailed examination of the Space Shuttle's design and operations.

Rather than a lecture on the concept of OKR, I would like to share with you the methods and cases of introducing and establishing OKR in actual companies. Through this, I will not only share my two-year process of introducing OKR and operating it, but also help you customize the OKR system to suit each company's situation.

This course covers differential equations and the MATLAB® ODE suite in depth. Learners can understand the principles and applications of differential equations and develop problem-solving skills using MATLAB.

This course covers classical and modern developments in graph theory and additive combinatorics, with a focus on topics and themes that connect the two subjects. It also includes an introduction to current research topics and open problems.

This capstone course focuses on integrating various disciplines of nuclear physics and engineering to tackle real-world design challenges in nuclear applications. Learners will engage in a group project to design a power plant that emphasizes emission-free electricity generation, carbon sequestration, and fossil fuel displacement.

This course covers fundamental discrete mathematics for computer science and engineering. It focuses on mathematical definitions, proofs, and applicable methods, covering various topics such as logic symbols, proof techniques, sets, relations, and graph theory.

Understand the essence of data visualization as a balance between scientific accuracy and aesthetic expression, and systematically learn everything from color and symbology principles to graph design. By utilizing visual attributes based on cognitive science principles, you will complete your data communication skills to achieve reliability and persuasiveness in professional practice.

Through a systematic curriculum of 40 lectures, you will learn everything from the basic theories of AI to the applied AI technologies of each algorithm. Through mathematical intuition and R coding algorithm learning and practice, you will develop immediately applicable AI model development capabilities, covering everything from designing algorithm models for data analysis, machine learning, and their application tools to selecting and utilizing them.

Based on an accurate understanding of black consumers, appropriate countermeasures and strategies are acquired, enabling effective response to black consumers. Furthermore, it is designed to enhance the professionalism of service staff and improve job satisfaction.