Recommended Lecture 📌
Course Introduction
When my thoughts change, my life changes, and the world changes. This course explores how to think and live like Confucius by examining his philosophy and life, which began with the belief that personal transformation leads to changes in life and the world. As the starting point of Confucian thought, which shaped East Asian politics and society for thousands of years, the core ideas of Confucius are presented through his way of thinking. The course is designed to promote both an understanding of Confucian philosophy and its practical application in daily life. The course is structured around four key approaches: Foundational Thinking, Balanced Thinking, Practical Thinking, Transformative Thinking. Through this course, learners will gain a clear understanding of Confucius’ essential ideas and learn how to approach social and personal issues with wisdom, maintain balance in an ever-changing world, and adopt a mindset that transforms challenges into possibilities.
This course focuses on the global semiconductor industry's value chain. Initially, the course covers the globalization structure and history of the semiconductor industry since 1948, and it delves into national strategies, competition under protectionism, standardization approaches, company value chains, and bottlenecks in technological development. Students will also identify technical choke points and explore next-generation technology strategies, such as materials, parts, equipment, devices, and AI semiconductors in a comprehensive perspective.
This course aims to understand the definition and required properties of general biomaterials used inside and outside the human body, with a particular focus on polymer-based materials. It also covers the concepts of drug delivery and tissue engineering in relation to the biomedical applications of biomaterials.
This course examines the parent–child relationship as a core aspect of human development, focusing on emotional, cognitive, and social dimensions. It explores how this relationship evolves across developmental stages and life tasks, using key theories from developmental psychology and family studies. Students will learn major theoretical frameworks—such as attachment theory, family systems theory, and ecological systems theory—to analyze the interactions between parenting roles, parenting behaviors, and child development. The course covers key characteristics and changes in parent–child relationships from infancy through adolescence, addressing topics such as communication, conflict, and emotional support. Additionally, the course considers how parent–child dynamics vary across diverse family structures, including multicultural families, encouraging awareness of sociocultural influences. Through lectures, case discussions, and assignments, students will develop a broader understanding of parent–child relationships and gain foundational knowledge to support healthy family functioning and positive youth development.
Since the the 2020 pandemic, the interest in investing in both domestic and foreign stocks – as well as cryptocurrencies – has surged again. As retail investors, everyone knows we must be careful about our psychology, yet many behavioral economics books overwhelm readers by listing 30 or 40 different biases. This course cuts through that complexity by focusing on four core concepts that reveal the weak links in our decision-making: over-extrapolation, overconfidence, prospect theory, and social communication bias. Viewing bubbles and crashes through these four lenses, the course aims to serve as a guide for your healthier and more successful investing life going forward.
A moment when a small question❓turns into a spark of insight❗ Professor Hee-Ok Lee (Political Science & Diplomacy) joins Professors Young-Han Kim (Economics), Tae-Seo Cha (Political Science & Diplomacy), and Seok-Jun Kwon (Chemical Engineering) to discuss how Korea should respond amid the growing rivalry between the United States and China. This final episode explores Korea’s path forward in an international order rapidly reshaped by U.S.-China competition. Let’s reflect together on what a uniquely Korean approach to this complex relationship might look like — and what kind of diplomatic imagination our era demands🌏 📌 This episode was filmed in late July. 🙂 Please turn on subtitles to better follow the discussion! 🙂
A small question in everyday life❓ turns into a moment of realization❗ Professor Hee-Ok Lee (Political Science and Diplomacy) joins Professor Young-Han Kim (Economics), Professor Tae-Seo Cha (Political Science and Diplomacy), and Professor Seok-Jun Kwon (Chemical Engineering) to discuss the ongoing technological power struggle between the U.S. and China. This is the third episode in our series exploring how Korea should navigate a rapidly changing international order centered on U.S.-China competition. 👉 Let’s take a closer look at how China has grown amid its “forced self-reliance” — and who might become the game changer in the AI era.🔍 📌 This video was filmed in late July. 🙂 Please turn on subtitles to enhance your viewing experience! 🙂
19 Course(s)
The moment when life's little question marks ❓ transform into exclamation points of insight ❗ Professor Jang-Hyun Kim of the College of Computing and Informatics at Sungkyunkwan University sits down with Professor Ho-Geon Park (Software), Professor Do-Il Kim (Confucian & East Asian Studies), and Professor Ji-Young Lee (Media & Communication) to explore AI's singularity and how education is changing in the age of AI. When will AI surpass human intelligence? Writing, coding, the power to ask the right questions… Join the conversation on why there are still things we need to learn for ourselves, even in the age of AI 🤗 🙂 Turn on subtitles for the best viewing experience! 🙂
The moment when life's little question marks ❓ transform into exclamation points of insight ❗ Professor Jang-Hyun Kim of the College of Computing and Informatics at Sungkyunkwan University sits down with Professor Ho-Geon Park (Software) , Professor Do-Il Kim (Confucian & East Asian Studies), and Professor Ji-Young Lee (Media & Communication) to explore how AI is transforming the world of work. Vibe coding, the vanishing junior employee… Now that AI has moved deep into the workplace — will we end up working less, or more? Join four professors from across the humanities, social sciences, and engineering as they think through what it means to work in the age of AI 🤗 🙂 Turn on subtitles for the best viewing experience! 🙂
The moment when life's little question marks❓ transform into exclamation points of insight❗ A brand-new season begins with Professor Jang-Hyun Kim of the College of Computing and Informatics at Sungkyunkwan University. This season brings together professors from the humanities, social sciences, and engineering — all under one roof — to explore the age of AI and the role of humanity through a truly interdisciplinary lens. How will AI reshape our lives and the way we work? And what kind of competitive edge should humans cultivate in response? Join the conversation and think it through with us! We'd love your support — tune in and share the journey with us 😊
인류의 문명을 바꾸고 있는 디지털 트랜스포메이션에 대한 이해와 신문명이 요구하는 인재가 되기 위해 필요한 기본적 자세에 대해 데이터를 기반으로 학습한다.
실제 인공지능과 데이터분석에서 자주 사용되는 몇 가지 기법에 적용된 고급 수학 이론을 이해하고 활용한다.
파이썬 기반의 오픈소스 머신러닝 라이브러리인 텐서플로우 (Tensorflow)와 케라스 (Keras)를 활용하여 인공지능과 데이터 분석에서 자주 사용되는 데이터 활용 기법 및 알고리즘을 구글 코랩 (Google Colab)환경에서 실습한다.
본 강좌를 통해 고등학생과 일반인들이 인공지능을 이해하는데 필요한 수학(입문)의 내용을 학습하고 코드를 활용하여 실습해본다.
본 강의는 목적은 다양한 고급기계학습 기법의 수학적 배경을 이해하고, 각 방법의 장점과 단점을 이해하여 주어진 상황에 적합한 기법을 선택하여 문제를 효율적이고 효과적으로 해결할 수 있다.
ExCampus extends the knowledge and experience of global scholarship as well as professors and alumni of our universities who are active in various fields of society. It is an expanded future education platform launched in 2020 with the aim of connecting universities and society, and it plays a role in connecting our university's vision to the world through more than 50 lectures with foreign subtitles such as English and Chinese.
수강신청 바로가기 스마트카에서 생성되는 다양한 정보가 생산되며 이를 기반으로 스마트카의 다양한 기능이 수행된다. 본 강좌에서는 스마트카에서 생성되는 정보를 지능적으로 처리하기 위한 다양한 기계학 기법을 학습한다. 기계학습의 기본 개념과 모델 평가 기법을 포함하여 다양한 분류 기법과 추천기법 등을 학습한다.
수강신청 바로가기 This lecture covers the introduction and overview of control systems for smart cars. Learners will learn about key technologies for smart cars or autonomous vehicles. This course introduces basic concepts and demand technologies of perception, decision and control required for autonomous driving control. Then, the longitudinal and lateral dynamics equations of a vehicle are derived, and the characteristics of the control system are analyzed using these equations. The standard and adaptive cruise controls, which are the typical longitudinal control systems, are studied, and control characteristics of the lateral steering control system are also discussed. At the end, this lecture will introduce virtual driving simulators and vehicle simulation technology that can verify the control system performances in virtual environments.
수강신청 바로가기 In Course 3 of the Machine Learning for Recommender Systems Specialization, offered by Sungkyunkwan Univ., you will: a) understand the data preprocessing of the raw data for recommender systems.b) apply the recommender systems (content based filtering and collaborative filtering).measure the performance of the methods for the recommender systems such as mAP, nDCG, and ED.understand the basic concepts of machine learning.c) understand a typical memory-based method, the K nearest neighbor method.
수강신청 바로가기 In this course, you will: a) understand the basic concepts of machine learning.b) understand a typical memory-based method, the K nearest neighbor method.c) understand linear regression.d) understand model analysis.Please make sure that you’re comfortable programming in Python and have a basic knowledge of mathematics including matrix multiplications, and conditional probability.
수강신청 바로가기 In this course you will: a) understand the naïve Bayesian algorithm.b) understand the Support Vector Machine algorithm.c) understand the Decision Tree algorithm.d) understand the Clustering.Please make sure that you’re comfortable programming in Python and have a basic knowledge of mathematics including matrix multiplications, and conditional probability.