New Enterprises

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 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 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 course covers the fundamentals of deep learning, including both theory and applications. Topics include neural net architectures (MLPs, CNNs, RNNs, graph nets, transformers), geometry and invariances in deep learning, backpropagation and automatic differentiation, learning theory and generalization in high dimensions, and applications to computer vision, natural language processing, and robotics.

This course explores the evolution of proofs in computer science, focusing on interactive proofs, multi-prover interactive proofs, and probabilistically checkable proofs. Learners will discover how to leverage cryptography to transform these advanced proof systems into computationally sound non-interactive arguments (SNARGs).

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 explores how financial technology, or FinTech, is transforming the financial services industry through innovative technologies. Learners will study key trends such as AI, blockchain, and open APIs, gaining insights into the evolving market landscape and regulatory environment.

This course focuses on the practical aspects of designing and analyzing non-digital games. Learners will explore various game genres while collaborating in teams to create, develop, and test original games, gaining insights into game mechanics and rules.

Functional analysis explores the study and resolution of linear and nonlinear problems in normed spaces, extending beyond finite dimensions. Learners will delve into key concepts such as normed spaces, completeness, functionals, and the Spectral Theorem, gaining insights applicable to various mathematical and physical contexts.

This course explores the design and functionality of Bitcoin and other cryptocurrencies, emphasizing cryptography, game theory, and network architecture. Learners will engage with practical programming assignments to deepen their understanding of these evolving systems.

This course covers key topics in discrete applied mathematics, focusing on counting, generating functions, probability, and more. Learners will engage with both mathematical concepts and effective communication through writing assignments.

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.

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 covers elementary discrete mathematics for science and engineering, focusing on mathematical tools and proof techniques useful in computer science. Learners will explore topics such as logical notation, sets, relations, graph theory, state machines, and algorithms.

This course delves into complex variables, differential equations, and linear algebra, providing a comprehensive understanding of these essential mathematical concepts. Learners will explore foundational theories and applications that are crucial for advanced studies in mathematics and engineering.

This course emphasizes dynamic models of growth and development, exploring topics such as migration, modernization, and technological change. Learners will study the interplay between economic theory and real-world applications in developing countries, focusing on income distribution, institutional change, and the functioning of financial markets.

This course explores the fundamental principles of artificial intelligence, focusing on both theoretical concepts and practical applications. Learners will study algorithms, machine learning techniques, and the ethical implications of AI technologies.

This course introduces quantitative approaches to understanding brain and cognitive functions. Learners will explore mathematical descriptions of neurons, their responses to stimuli, and foundational data analysis tools in neuroscience.

This course is an introduction to computational biology emphasizing the fundamentals of nucleic acid and protein sequence and structural analysis; it also includes an introduction to the analysis of complex biological systems. Topics covered in the course include principles and methods used for sequence alignment, motif finding, structural modeling, structure prediction and network modeling, as well as currently emerging research areas.

This lecture presents a practical blueprint for new business development, covering the entire process from working processes, market sensing, setting strategic directions, to organizational commitment and execution results. Through data-driven analysis and action-oriented strategies, it aims to create tangible results by connecting product development, marketing, and distribution.

From startup to growth process! This will be an opportunity to experience in advance the various problems you'll encounter while running a business!

We explain the 10 most frequently asked questions by those preparing for the Japanese market through real-world experience. From B2B, B2C, applications, to consumer goods - we've gathered common and therefore important concerns about "initial Japanese business" that apply across all industries. Get practical Japanese business know-how that you can immediately apply in the field directly from this lecture.

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.

We present specific methodologies for those who want to start a startup but are hesitant due to vague fears and a lack of knowledge on how to begin. Everything you need to know about startups, taught by a practitioner who worked at Naver, Kakao, and Yahoo and has experience founding two companies! From item selection to team building, writing business plans, establishing business models, and attracting investment! We deliver vivid know-how learned directly from the field. Only a prepared startup can avoid financial ruin.

From IBM's rise to dominate the mainframe computer market to Amazon's quiet profit in the cloud computing market, the real-life success and failure stories that are more dramatic than drama - The history of American IT told through stories

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 is a book talk for people who worry daily while creating products. Park So-ryeong, author of "Passing Through Failure," and Hyangro (Lee Dong-wook), CTO of Inflearn, discuss the decisions and concerns that product makers face every day, based on the growth and failures of Publy and Careerly.

We will teach you how to maximize your profits by mastering the core MBA management theories taught by the only global top MBA in Korea in just one day.

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.

An honest talk about startups, from business registration to equity relationships, hiring, and loan limits, I've made a lecture about the advice I've given to startups so far!

We will teach you how to become a great top 0.1% star with the Super Self-Management MBA that will help you survive and thrive in the era of hyper-large AI.

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 focuses on developing innovative information systems tailored for resource-poor settings, aiming to enhance health outcomes and strengthen organizational infrastructures. Learners will explore the intersection of public health, technology, and collaborative ecosystems to address healthcare challenges in developing countries.

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 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.

This course discusses the evolution and role of urban public transportation modes, systems, and services, focusing on bus and rail. Learners will explore current practices and innovative methods in transportation engineering and planning, including data analysis, performance monitoring, and service quality.

"Beyond just attending a lecture, we give you the time to 'own' the strategy." The 'Rule of 3', a formula for victory hidden within thousands of figures and complex battles. Change your business landscape with this 483-page PDF textbook and workbook, a culmination of a 30-year strategy expert's systems thinking.

Are you curious about the success secrets of Kim Min-chul, CEO of the No. 1 online English education platform 'Yanadoo'? We reveal the secret of how he achieved success with nothing but confidence—no elite education and no impressive specs!

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.