인프런 - 라이프타임 커리어 플랫폼

This is a lecture that condenses the mathematics curriculum taught in middle and high school. You will learn the necessary mathematical knowledge and techniques through extensive practice for each item.

This is a basic C/C++ course for those learning programming for the first time. It explains core concepts such as variables, arrays, strings, pointers, and memory easily with examples. Each lecture is structured to be short, allowing you to conveniently go back and forth to check and learn the necessary content without pressure.

Let's understand data analysis tailored for advanced retail businesses and learn how to use the tools utilized in the industry!

Let's build a solid foundation in MATLAB and apply and understand the basic concepts of programming!

Finally, the Probability and Statistics course for everyone is here! Learn the principles of probability and statistics step by step through theory and coding practice. Reference book "Probability and Statistics for Everyone" https://wikidocs.net/book/18165

We introduce tech trends of the 4th industrial revolution era that we need to know, such as artificial intelligence, the Internet of Things, fintech, virtual reality, self-driving cars, blockchain, and 5G based on big data, and explain how they are being implemented in our daily lives.

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.

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 reviews key genomic technologies and computational approaches that are transforming prognostics, diagnostics, and treatment in medicine. Learners will explore the intersection of genomics and patient care, including the ethical and social implications of personalized medicine.

This course explores the innovative field of computational cameras, focusing on how they capture visual information through advanced optics, sensors, and processing techniques. Learners will engage with various camera technologies and their applications in diverse fields such as art, science, and social media.

This course surveys the core perceptual and cognitive abilities of the human mind and asks how they are implemented in the brain. Key themes include the representations, development, and degree of functional specificity of these components of mind and brain.

This course introduces the core theory of modern financial economics and financial management, focusing on capital markets and investments. Learners will explore asset valuation, capital budgeting, portfolio selection, and the efficient market hypothesis, among other key topics.

This course explores the principles of feedback control in electronic and electromechanical systems, emphasizing its role in enhancing performance and reliability. Learners will engage with analytical concepts and practical applications through experiments and demonstrations.

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 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 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.

D-Lab: Energy provides a hands-on, project-based learning experience focused on small-scale, sustainable energy technologies in developing countries. Students will engage in practical projects that include the design, construction, and evaluation of energy systems such as micro-hydro, solar, and wind turbines.

This course delves into the principles and applications of artificial intelligence, exploring its impact on various fields and society. Learners will study algorithms, machine learning, and ethical considerations surrounding 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.