STEM Courses

  [Undergraduate]

• MATH101/102: Calculus 1/2 - POSTECH

• MATH200: Differential Equations - POSTECH

• MATH203: Applied Linear Algebra - POSTECH

• MATH301: Modern Algebra 1 - POSTECH

• MATH351: Introduction to Numerical Analysis - POSTECH

• PHYS101/102: General Physis 1/2 - POSTECH

• CHEM101: General Chemistry 1 - POSTECH

• LIFE103: General Life Science - POSTECH

• CSED232: Object Oriented Programming - POSTECH

• CSED233: Data Structure - POSTECH

• CSED261: Discrete Mathematics for Computer Science - POSTECH

• EECE231: Circuit Theory - POSTECH

• EECE233: Signals & Systems - POSTECH

• EECE261: Electromagnetics - POSTECH

• EECE274: Digital System Design - POSTECH

• EECE331: Electronic Circuits 1 - POSTECH

• EECE341: Introduction to Communication Systems - POSTECH

• EECE411: Display Engineering 1 - POSTECH

• EECE441: Introduction to Digital Communication - POSTECH

• EECE442: Introduction to Communications and Network - POSTECH

• EECE451: Introduction to Digital Signal Processing - POSTECH

• IMEN261: Introduction to Operations Research - POSTECH

• IMEN301: Tech. Management & Strategy - POSTECH

• 16.06: Principles of Automatic Control - MIT

• 18.413: Error-Correcting Codes Laboratory - MIT

• Statistics 110: Probability - Harvard University

• MS415: Introduction to Semiconductor Devices - KAIST

  [Graduate]

• EECE576: Statistical Communication Theory - POSTECH

• EECE577: Information and Coding Theory - POSTECH

• EECE695D: Deep Learning Theory - POSTECH

• EECE695P: Special Topics in Quantum Computing - POSTECH

• EECE695R: Statistical Inference and Learning Algorithm - POSTECH

• CSED539: Computer Vision - POSTECH

• CSED730L: Trustworthy Machine Learning - POSTECH

• AIGS730J: Development of AI & Social Change - POSTECH

• MECH539: Advanced Nanoscale Fabrication and Manufacturing - POSTECH

• IBIO614: Frontiers in Interdisciplinary Bioscience - POSTECH

• 430.752B: Wireless Networking - Seoul National University

• CS183B: How to Start a Startup - Stanford University

• CS231n: Convolutional Neural Networks for Visual Recognition - Stanford University

  [TA]

• EECE490W: Introduction to Reinforcement Learning - POSTECH

• EECE695V: Introduction to AI for Graduate School Students - POSTECH

Books: Liberal Arts

• The Bible

• 50 Philosophy Classics: Thinking, Being, Acting, Seeing: Profound Insights and Powerful Thinking from Fifty Key Books (Tom Butler-Bowdon)

• Against the Odds: An Autobiography (James Dyson)

• Big Fish: A Novel of Mythic Proportions (Daniel Wallace)

• Brave New World (Aldous Huxley)

• Capital: A Critique of Political Economy (Karl Marx)

• Corruptible: Who Gets Power and How It Changes Us (Brian Klass) 

• Elementary Logic (Willard Van Orman Quine)

• Homo Deus (Yuval Noah Harari)

• How Google Works (Eric Schmidt, Jonathan Rosenberg)

• Meditations (Marcus Aurelius)

• Outliers: The Story of Success (Malcolm Gladwell)

• Parerga and Paralipomena (Arthur Schopenhauer)

• Rich Dad Poor Dad: What the Rich Teach Their Kids About Money - That the Poor and Middle Class Do Not! (Robert T. Kiyosaki)

• Schlagfertig: Nie wieder sprachlos (Matthias Nöllke)

• Stop Overthinking: 23 Techniques to Relieve Stress, Stop Negative Spirals, Declutter Your Mind, and Focus on the Present (Nick Trenton)

• The Art of Loving (Erich Fromm)

• The Big Questions: Philosophy (Simon Blackburn)

• The Communist Manifesto (Karl Marx, Friedrich Engels)

• The Four: The Hidden DNA of Amazon, Apple, Facebook, and Google (Scott Galloway)

• The Giver (Lois Lowry)

• The Myth of Sisyphus (Albert Camus)

• Thus Spoke Zarathustra: The Book for All and None (Friedrich Nietzsche)

• The Wisdom of Finance: Discovering Humanity in the World of Risk and Return (Mihir Desai)

• The 48 Laws of Power (Robert Greene)

• Trump: The Art of the Deal (Donald J. J. Trump, Tony Schwartz)

• Wonder (R. J. Palacio)

• Wonderworks: The 25 Most Powerful Inventions in the History of Literature (Angus Fletcher)

• Zero to One: Notes on Startups, or How to Build the Future (Peter Thiel)

• 경제 읽어주는 남자의 15분 경제 특강 (김광석)

• 공간의 미래 (유현준)

• 김영란의 열린 법 이야기 (김영란)

• 그냥 하지 말라 (송길영)

• 국가란 무엇인가 (유시민)

• 나는 미국 월배당 ETF로 40대에 은퇴한다 (최영민)

• 너라는 계절 (김지훈)

• 대체되지 않는 사람 (이준희)

• 돈의 감각 (이명로)

• 돈의 속성 (김승호)

• 대학원생 때 알았더라면 좋았을 것들 (엄태웅, 최윤섭, 권창현)

• 마음의 법칙: 사람의 마음을 사로잡는 51가지 심리학 (폴커 키츠, 마누엘 투쉬)

• 만일 내가 인생을 다시 산다면 (김혜남)

• 미국을 만든 50개 주 이야기 (김동섭)

• 보통의 언어들 (김이나)

• 생각이 너무 많은 어른들을 위한 심리학 (김혜남)

• 성서의 뿌리(구약): 오리엔트 문명과 구약 성서 (민희식)

• 세일즈, 말부터 바꿔라 (황현진)

• 수도권 알짜 부동산 답사기 (김학렬)

• 슬기로운 생활법률 (박일환)

• 시대예보: 핵개인의 시대 (송길영)

• 시대예보: 호명사회 (송길영)

• 실리콘 밸리가 원하는 사람 (이원종)

• 심리학 일주일 (박진영)

• 어쩌면 별들이 너의 슬픔을 가져갈지도 몰라 (김용택)

• 우리는 미국을 모른다: 펜타곤 출입기자가 파헤친 미국의 본심 (김동현)

• 엘론머스크, 대담한 도전 (다케우치 가즈마사)

• 월가아재의 제2라운드 투자 수업 (최한철)

• 원 포인트 K-스타트업 창업 (이홍철)

• 21세기 이공계의 미래 T자형 인재 (조철선)

• 일류의 조건 (사이토 다카시)

• 지성의 돈되는 부동산 1인법인 (지성)

• 천재와 괴짜들의 일본 과학사 (고토 히데키)

• 하버드 100년 전통 말하기 수업 (류리나)

• 하버드 첫 강의 시간관리 수업 (쉬셴장)

• 행동경제학 (도모노 노리오)

• 행복의 기원: 인간의 행복은 어디서 오는가 (서은국)

• 5회 말 투 아웃 풀 카운트: 제 2의 삶을 위한 은퇴설계 지침서 (안병국)

Books: Science and Technology

• A Really Short History of Nearly Everything (Bill bryson)

• Chaos: Making a New Science (James Gleik)

• ENTROPY: INTO THE GREENHOUSE WORLD (Jeremy Rifkin)

• Fabricated: The New World of 3D Printing (Hod Lipson)

• Higgs Discovery: The Power of Empty Space (Lisa Randall)

• Lifespan: Why We Age―and Why We Don’t Have To (David Sinclair)

• QED: The Strange Theory of Light and Matter (Richard P. Feynman)

• Seven and a Half Lessons About the Brain (Lisa Feldman Barrett)

• The Black Hole War: My Battle with Stephen Hawking to Make the World Safe for Quantum Mechanics (Leonard Susskind)

• The Great Mathematical Problems: Marvels and Mysteries of Mathematics (Ian Stewart)

• The Selfish Gene (Richard Dawkins)

• The Shark’s Paintbrush: Biomimicry and How Nature Is Inspiring Innovation (Jay Harman)

• The Sixth Wave: How to Succeed in a Resource-Limited World (Bradfield-Moody, Nogrady)

• The Quantum Story: A history in 40 moments (Jim Baggott)

• 그림으로 이해하는 네트워크 구조와 기술 (나카오 신지)

• 반도체 제국의 미래 (정인성)

• 세상을 만드는 글자, 코딩 (박준석)

• 애프터 비트코인 (나카지마 마사시)

• 카이스트 명강:구글 신은 모든 것을 알고 있다

Visited Countries

• 🇨🇦 Canada (Vancouver)

• 🇯🇵 Japan (Osaka, Fukuoka)

• 🇹🇭 Kingdom of Thailand (Bangkok, Chiang Mai)

• 🇨🇳 People's Republic of China (Beijing, Shanghai)

• 🇰🇷 Republic of Korea (Seoul, Daejeon, Daegu, Busan, Gwangju, Ulsan, Incheon, Jeju Island)

• 🇱🇧 Republic of Lebanon (Beirut)

• 🇸🇬 Republic of Singapore (Singapore)

• 🇺🇸 United States of America (Los Angeles)