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[공공데이터]
울산과학기술원_공개강의 목록
울산과학기술원에서 전체 공개하는 강의에 대한 목록입니다.
과목정보, 강의 제목, 강의 시간, 영상에 대한 링크 등을 리스트 업 한 자료입니다.
과목정보, 강의 제목, 강의 시간, 영상에 대한 링크 등을 리스트 업 한 자료입니다.
■ 관련 데이터
| 과목명 | 제목 | 링크 | 재생시간 |
| (고급) 수학적 원리로 설명하는 기계학습 | 1-1 Perceptron and its convergence theorem | https://canvas.starmooc.kr/courses/100/modules/items/3430 | 0:13:15 |
| (고급) 수학적 원리로 설명하는 기계학습 | 1-2 Maximum Margin Principle and Soft Margin Hard Margin | https://canvas.starmooc.kr/courses/100/modules/items/3431 | 0:07:56 |
| (고급) 수학적 원리로 설명하는 기계학습 | 1-4 Linear models in Deep Neural Networks | https://canvas.starmooc.kr/courses/100/modules/items/3432 | 0:06:16 |
| (고급) 수학적 원리로 설명하는 기계학습 | 2-2 Matrix decomposition | https://canvas.starmooc.kr/courses/100/modules/items/3434 | 0:16:17 |
| (고급) 수학적 원리로 설명하는 기계학습 | 3-1 Introduction to Causality | https://canvas.starmooc.kr/courses/100/modules/items/3436 | 0:10:26 |
| (고급) 수학적 원리로 설명하는 기계학습 | 3-2 Causal Bayesian Network | https://canvas.starmooc.kr/courses/100/modules/items/3437 | 0:12:55 |
| (고급) 수학적 원리로 설명하는 기계학습 | 3-3 Temporal Causality | https://canvas.starmooc.kr/courses/100/modules/items/3438 | 0:19:55 |
| (고급) 수학적 원리로 설명하는 기계학습 | 3-4 Counter-factual Inference | https://canvas.starmooc.kr/courses/100/modules/items/3439 | 0:21:42 |
| (고급) 수학적 원리로 설명하는 기계학습 | 4-1 Overview of Explainable AI | https://canvas.starmooc.kr/courses/100/modules/items/3440 | 0:10:18 |
| (고급) 수학적 원리로 설명하는 기계학습 | 4-2 Explaining decision of deep learning | https://canvas.starmooc.kr/courses/100/modules/items/3441 | 0:09:59 |
| (고급) 수학적 원리로 설명하는 기계학습 | 5-1 Meta learning | https://canvas.starmooc.kr/courses/100/modules/items/3443 | 0:06:37 |
| (고급) 수학적 원리로 설명하는 기계학습 | 5-2 Few-shot learning | https://canvas.starmooc.kr/courses/100/modules/items/3444 | 0:07:40 |
| (고급) 수학적 원리로 설명하는 기계학습 | 5-3 Model-Agnostic Meta-Learning | https://canvas.starmooc.kr/courses/100/modules/items/3445 | 0:08:56 |
| (고급) 수학적 원리로 설명하는 기계학습 | 6-1 Time series prediction | https://canvas.starmooc.kr/courses/100/modules/items/3447 | 0:07:41 |
| (고급) 수학적 원리로 설명하는 기계학습 | 6-2 Stationarity of time series | https://canvas.starmooc.kr/courses/100/modules/items/3448 | 0:07:13 |
| (고급) 수학적 원리로 설명하는 기계학습 | 7-1 What is the reinforcement learning? | https://canvas.starmooc.kr/courses/100/modules/items/3449 | 0:08:54 |
| (고급) 수학적 원리로 설명하는 기계학습 | 7-2 Approaches to reinforcement learning | https://canvas.starmooc.kr/courses/100/modules/items/3450 | 0:07:23 |
| (고급) 수학적 원리로 설명하는 기계학습 | 7-3 xample: GridWorld | https://canvas.starmooc.kr/courses/100/modules/items/3451 | 0:04:56 |
| (기초) 기계학습의 원리와 응용분야 | 1-3 Logical Artificial Intelligence - Expert System | https://canvas.starmooc.kr/courses/99/modules/items/3408 | 0:12:12 |
| (기초) 기계학습의 원리와 응용분야 | 1-4 Statistical Machine Learning | https://canvas.starmooc.kr/courses/99/modules/items/3409 | 0:08:18 |
| (기초) 기계학습의 원리와 응용분야 | 2-1 What are machine learning problems? | https://canvas.starmooc.kr/courses/99/modules/items/3411 | 0:10:33 |
| (기초) 기계학습의 원리와 응용분야 | 2-2 Learning with data and labels | https://canvas.starmooc.kr/courses/99/modules/items/3412 | 0:12:44 |
| (기초) 기계학습의 원리와 응용분야 | 2-3 Learning without labels | https://canvas.starmooc.kr/courses/99/modules/items/3413 | 0:07:45 |
| (기초) 기계학습의 원리와 응용분야 | 3-1 What are good features and why are they important? | https://canvas.starmooc.kr/courses/99/modules/items/3414 | 0:07:59 |
| (기초) 기계학습의 원리와 응용분야 | 4-1 Distance Measures | https://canvas.starmooc.kr/courses/99/modules/items/3417 | 0:12:59 |
| (기초) 기계학습의 원리와 응용분야 | 4-3 Kernel Methods 1 | https://canvas.starmooc.kr/courses/99/modules/items/3419 | 0:17:54 |
| (기초) 기계학습의 원리와 응용분야 | 4-4 Kernel Methods 2 | https://canvas.starmooc.kr/courses/99/modules/items/3420 | 0:09:02 |
| (기초) 기계학습의 원리와 응용분야 | 5-1 Artificial Neural Network | https://canvas.starmooc.kr/courses/99/modules/items/3421 | 0:11:08 |
| (기초) 기계학습의 원리와 응용분야 | 5-2 Convolutional Neural Network | https://canvas.starmooc.kr/courses/99/modules/items/3422 | 0:09:40 |
| (기초) 기계학습의 원리와 응용분야 | 5-3 Recurrent Neural Network | https://canvas.starmooc.kr/courses/99/modules/items/3423 | 0:09:04 |
| (기초) 기계학습의 원리와 응용분야 | 6-1 What are AI challenges? | https://canvas.starmooc.kr/courses/99/modules/items/3424 | 0:06:31 |
| (기초) 기계학습의 원리와 응용분야 | 6-2 Guide to Kaggle | https://canvas.starmooc.kr/courses/99/modules/items/3425 | 0:12:19 |
| (기초) 기계학습의 원리와 응용분야 | 6-3 Data Processing | https://canvas.starmooc.kr/courses/99/modules/items/3426 | 0:16:43 |
| (기초) 기계학습의 원리와 응용분야 | 7-1 Methods of Ensemble | https://canvas.starmooc.kr/courses/99/modules/items/3427 | 0:25:21 |
| (기초) 기계학습의 원리와 응용분야 | 7-2 Avito Demand Prediction Challenge | https://canvas.starmooc.kr/courses/99/modules/items/3428 | 0:12:21 |
| (기초) 기계학습의 원리와 응용분야 | 7-3 Data Science Bowl 2018 & Toxic Comments | https://canvas.starmooc.kr/courses/99/modules/items/3429 | 0:12:20 |
| 4차 산업과 제조 혁신 | 1-1. Introduction to the 4th IR | https://canvas.starmooc.kr/courses/94/modules/items/3321 | 0:11:02 |
| 4차 산업과 제조 혁신 | 1-2. Key Technologies for the 4th IR | https://canvas.starmooc.kr/courses/94/modules/items/3322 | 0:13:37 |
| 4차 산업과 제조 혁신 | 2-2. Future Ahead of us ? Culture change | https://canvas.starmooc.kr/courses/94/modules/items/3323 | 0:07:36 |
| Cultural Differences and Social Inequalities | Introduction | https://canvas.starmooc.kr/courses/95/modules/items/3324 | 0:03:38 |
| Cultural Differences and Social Inequalities | 1-1. Introduction: Unfamiliarizing | https://canvas.starmooc.kr/courses/95/modules/items/3325 | 0:06:52 |
| Cultural Differences and Social Inequalities | 2-1. Introduction: “Build the Wall” | https://canvas.starmooc.kr/courses/95/modules/items/3326 | 0:04:59 |
| Cultural Differences and Social Inequalities | 2-4. Power_ Authority and Domination | https://canvas.starmooc.kr/courses/95/modules/items/3327 | 0:06:16 |
| Cultural Differences and Social Inequalities | 3-3. Justification of economic inequality and Meritocracy | https://canvas.starmooc.kr/courses/95/modules/items/3328 | 0:09:41 |
| Cultural Differences and Social Inequalities | 4-1. Origins of capitalism in European expansion | https://canvas.starmooc.kr/courses/95/modules/items/3329 | 0:12:54 |
| Cultural Differences and Social Inequalities | 4-2. Plantation Economy | https://canvas.starmooc.kr/courses/95/modules/items/3330 | 0:06:08 |
| Cultural Differences and Social Inequalities | 5-1. Gender vs. Sex | https://canvas.starmooc.kr/courses/95/modules/items/3331 | 0:04:27 |
| Cultural Differences and Social Inequalities | 5-2. Gender stereotypes | https://canvas.starmooc.kr/courses/95/modules/items/3332 | 0:10:27 |
| Cultural Differences and Social Inequalities | 5-3. Gender Inequality | https://canvas.starmooc.kr/courses/95/modules/items/3333 | 0:05:42 |
| Cultural Differences and Social Inequalities | 5-4. Sexism around us and #MeToo | https://canvas.starmooc.kr/courses/95/modules/items/3334 | 0:08:49 |
| Cultural Differences and Social Inequalities | 6-1. The Migrant Caravans and the USA | https://canvas.starmooc.kr/courses/95/modules/items/3335 | 0:07:25 |
| Cultural Differences and Social Inequalities | 6-3. The Enclave Economy | https://canvas.starmooc.kr/courses/95/modules/items/3336 | 0:07:23 |
| Cultural Differences and Social Inequalities | 7-1. Intro to Race and Risk | https://canvas.starmooc.kr/courses/95/modules/items/3337 | 0:11:26 |
| Cultural Differences and Social Inequalities | 7-2. Race and health | https://canvas.starmooc.kr/courses/95/modules/items/3338 | 0:06:01 |
| Cultural Differences and Social Inequalities | 7-3. Race and crime | https://canvas.starmooc.kr/courses/95/modules/items/3339 | 0:03:47 |
| Data Representation | Bits and bytes | https://canvas.starmooc.kr/courses/115/modules/items/3594 | 0:08:52 |
| Data Representation | Integers | https://canvas.starmooc.kr/courses/115/modules/items/3595 | 0:21:25 |
| Data Representation | Floating-point numbers and pointers | https://canvas.starmooc.kr/courses/115/modules/items/3596 | 0:19:09 |
| Data Representation | ASCII | https://canvas.starmooc.kr/courses/115/modules/items/3597 | 0:15:20 |
| Data Representation | Unicode | https://canvas.starmooc.kr/courses/115/modules/items/3598 | 0:13:35 |
| Data Representation | Serialization in Python | https://canvas.starmooc.kr/courses/115/modules/items/3599 | 0:11:39 |
| Data Representation | Serialization in C++ | https://canvas.starmooc.kr/courses/115/modules/items/3600 | 0:11:49 |
| Design of AI-driven Products and Services | #1-1 Foundation of Machine Intelligence | https://canvas.starmooc.kr/courses/97/modules/items/3342 | 0:14:12 |
| Design of AI-driven Products and Services | #1-2 Foundation of Machine Intelligence | https://canvas.starmooc.kr/courses/97/modules/items/3343 | 0:09:56 |
| Design of AI-driven Products and Services | #1-3 Foundation of Machine Intelligence | https://canvas.starmooc.kr/courses/97/modules/items/3344 | 0:08:45 |
| Design of AI-driven Products and Services | #2-2 AI as a New Material for Design | https://canvas.starmooc.kr/courses/97/modules/items/3345 | 0:09:30 |
| Design of AI-driven Products and Services | #2-3 AI as a New Material for Design | https://canvas.starmooc.kr/courses/97/modules/items/3347 | 0:12:11 |
| Design of AI-driven Products and Services | #3-1 Design Thinking for AI-driven Products and Services | https://canvas.starmooc.kr/courses/97/modules/items/3348 | 0:09:22 |
| Design of AI-driven Products and Services | #3-2 Design Thinking for AI-driven Products and Services | https://canvas.starmooc.kr/courses/97/modules/items/3349 | 0:05:27 |
| Design of AI-driven Products and Services | #3-2 Design Thinking for AI-driven Products and Services | https://canvas.starmooc.kr/courses/97/modules/items/3349 | 0:13:00 |
| Design of AI-driven Products and Services | #4-1 Human-Centered Machine Learning | https://canvas.starmooc.kr/courses/97/modules/items/3350 | 0:16:39 |
| Design of AI-driven Products and Services | #4-2 Human-Centered Machine Learning | https://canvas.starmooc.kr/courses/97/modules/items/3351 | 0:12:11 |
| Design of AI-driven Products and Services | #4-3 Human-Centered Machine Learning | https://canvas.starmooc.kr/courses/97/modules/items/3352 | 0:11:45 |
| Design of AI-driven Products and Services | #5-1 Sneak Peek-Text & Voice-based AI Products | https://canvas.starmooc.kr/courses/97/modules/items/3353 | 0:07:10 |
| Design of AI-driven Products and Services | #5-2 Sneak Peek-Text & Voice-based AI Products | https://canvas.starmooc.kr/courses/97/modules/items/3354 | 0:07:43 |
| Design of AI-driven Products and Services | #5-3 Sneak Peek-Text & Voice-based AI Products | https://canvas.starmooc.kr/courses/97/modules/items/3355 | 0:05:43 |
| Design of AI-driven Products and Services | #6-1 Sneak Peak-Redesigning Siri and multi-tasking features | https://canvas.starmooc.kr/courses/97/modules/items/3356 | 0:05:11 |
| Design of AI-driven Products and Services | #6-2 Sneak Peak-Redesigning Siri and multi-tasking features | https://canvas.starmooc.kr/courses/97/modules/items/3357 | 0:04:38 |
| Design of AI-driven Products and Services | #7-1 The Future Ahead Us | https://canvas.starmooc.kr/courses/97/modules/items/3358 | 0:04:55 |
| HUB (Human, UNIST and Bridge) | UNIST 2년 차_ 이재용 부총장 | https://canvas.starmooc.kr/courses/103/modules/items/3481 | 0:15:34 |
| HUB (Human, UNIST and Bridge) | UNIST 9년 차_ 성아림 박사과정생 | https://canvas.starmooc.kr/courses/103/modules/items/3482 | 0:13:58 |
| HUB (Human, UNIST and Bridge) | UNIST 6년 차_ 신예진 공과대학 직원 | https://canvas.starmooc.kr/courses/103/modules/items/3483 | 0:10:47 |
| HUB (Human, UNIST and Bridge) | UNIST 8년 차_ 여혜진 기획처 직원 | https://canvas.starmooc.kr/courses/103/modules/items/3484 | 0:15:46 |
| HUB (Human, UNIST and Bridge) | UNIST 4년 차_ 국제학생 Kezia& Dulguun | https://canvas.starmooc.kr/courses/103/modules/items/3485 | 0:33:23 |
| HUB (Human, UNIST and Bridge) | UNIST 4년 차_ 임가은 학부생 | https://canvas.starmooc.kr/courses/103/modules/items/3486 | 0:14:12 |
| HUB (Human, UNIST and Bridge) | UNIST 9년 차_ 이명준 석사과정생 | https://canvas.starmooc.kr/courses/103/modules/items/3487 | 0:11:44 |
| Linear Regression for Scientists and Engineers | Lecture 1.1: Definitions and Introductory Concepts | https://canvas.starmooc.kr/courses/108/modules/items/3508 | 0:24:57 |
| Linear Regression for Scientists and Engineers | Lecture 1.2: Linear Model Examples | https://canvas.starmooc.kr/courses/108/modules/items/3509 | 0:20:57 |
| Linear Regression for Scientists and Engineers | Lecture 2.2: Taylor Series Expansion and Polynomial Linear Regression Models | https://canvas.starmooc.kr/courses/108/modules/items/3510 | 0:25:12 |
| Linear Regression for Scientists and Engineers | Lecture 3.1: Linear Least Squares Definition | https://canvas.starmooc.kr/courses/108/modules/items/3511 | 0:28:25 |
| Linear Regression for Scientists and Engineers | Lecture 3.2: Simple Linear Model | https://canvas.starmooc.kr/courses/108/modules/items/3512 | 0:26:24 |
| Linear Regression for Scientists and Engineers | Lecture 4.1: Simple Linear Model LLS Example(Matlab Demonstration) | https://canvas.starmooc.kr/courses/108/modules/items/3513 | 0:30:35 |
| Linear Regression for Scientists and Engineers | Lecture 5: Residual Analysis for Goodness-of-Fit Test | https://canvas.starmooc.kr/courses/108/modules/items/3514 | 1:26:32 |
| Linear Regression for Scientists and Engineers | Lecture 6.1: Coefficient of Determination or R^2 for Goodness-of-Fit Test | https://canvas.starmooc.kr/courses/108/modules/items/3515 | 0:36:28 |
| Linear Regression for Scientists and Engineers | Lecture 6.2: Goodness-of-Fit Tests: Bootstrap (Residual Resampling) | https://canvas.starmooc.kr/courses/108/modules/items/3516 | 0:12:41 |
| Linear Regression for Scientists and Engineers | Lecture 7.1: Leverate and Influence in Linear Regression | https://canvas.starmooc.kr/courses/108/modules/items/3517 | 0:24:34 |
| Linear Regression for Scientists and Engineers | Lecture 7.2: Experimental Design to Mitigate Influence | https://canvas.starmooc.kr/courses/108/modules/items/3518 | 0:33:58 |
| Simple answers to puzzling questions in Physics | Why does a light beam bend when entering into water ? | https://canvas.starmooc.kr/courses/96/modules/items/3340 | 0:16:03 |
| Simple answers to puzzling questions in Physics | Why is light slower in water than in air ? | https://canvas.starmooc.kr/courses/96/modules/items/3341 | 0:24:13 |
| Writing in the Sciences | 1-2 Becoming a Better Writer | https://canvas.starmooc.kr/courses/107/modules/items/3503 | 0:11:12 |
| Writing in the Sciences | 1-5 The Electron (Noun Phrases) | https://canvas.starmooc.kr/courses/107/modules/items/3504 | 0:17:56 |
| Writing in the Sciences | 1-6 Jabberwockies (Word Forms) | https://canvas.starmooc.kr/courses/107/modules/items/3505 | 0:12:33 |
| Writing in the Sciences | 2-2 Action Verbs (Processes) | https://canvas.starmooc.kr/courses/107/modules/items/3506 | 0:25:44 |
| Writing in the Sciences | 2-3 Reporting Verbs (Thoughts_ Opinions_ Speech) | https://canvas.starmooc.kr/courses/107/modules/items/3507 | 0:14:37 |
| 건설용 3D 콘크리트 프린팅에 대한 기초 이론 | Overview of 3D Printing Techniques for Construction | https://canvas.starmooc.kr/courses/112/modules/items/3553 | 0:10:52 |
| 건설용 3D 콘크리트 프린팅에 대한 기초 이론 | Evolution and Advantages of 3D Concrete Printing | https://canvas.starmooc.kr/courses/112/modules/items/3554 | 0:13:04 |
| 건설용 3D 콘크리트 프린팅에 대한 기초 이론 | Types of Concrete Materials Used in 3D Printing | https://canvas.starmooc.kr/courses/112/modules/items/3555 | 0:08:19 |
| 건설용 3D 콘크리트 프린팅에 대한 기초 이론 | Rheology and Buildability in 3D Concrete Printing | https://canvas.starmooc.kr/courses/112/modules/items/3556 | 0:14:53 |
| 건설용 3D 콘크리트 프린팅에 대한 기초 이론 | Additives and Reinforcements for Enhanced Properties | https://canvas.starmooc.kr/courses/112/modules/items/3557 | 0:11:47 |
| 건설용 3D 콘크리트 프린팅에 대한 기초 이론 | Pump Theory for Concrete - Part I | https://canvas.starmooc.kr/courses/112/modules/items/3558' | 0:10:08 |
| 건설용 3D 콘크리트 프린팅에 대한 기초 이론 | Pump Theory for Concrete - Part II | https://canvas.starmooc.kr/courses/112/modules/items/3559 | 0:09:54 |
| 건설용 3D 콘크리트 프린팅에 대한 기초 이론 | Batch Mixing vs. Continuous Mixing for 3D Printing | https://canvas.starmooc.kr/courses/112/modules/items/3560 | 0:09:08 |
| 건설용 3D 콘크리트 프린팅에 대한 기초 이론 | 1K vs. 2K Systems for 3D Concrete Printing | https://canvas.starmooc.kr/courses/112/modules/items/3561 | 0:11:13 |
| 건설용 3D 콘크리트 프린팅에 대한 기초 이론 | Understanding Interlayer Bond Strength | https://canvas.starmooc.kr/courses/112/modules/items/3562 | 0:11:15 |
| 건설용 3D 콘크리트 프린팅에 대한 기초 이론 | Testing Methods for Interlayer Bond Strength | https://canvas.starmooc.kr/courses/112/modules/items/3563 | 0:14:11 |
| 건설용 3D 콘크리트 프린팅에 대한 기초 이론 | Design Principles for 3D Concrete Printing | https://canvas.starmooc.kr/courses/112/modules/items/3564 | 0:11:11 |
| 건설용 3D 콘크리트 프린팅에 대한 기초 이론 | Software Tools for 3D Concrete Printing | https://canvas.starmooc.kr/courses/112/modules/items/3565 | 0:11:37 |
| 건설용 3D 콘크리트 프린팅에 대한 기초 이론 | Structural Analysis and Design for 3D Printed Concrete | https://canvas.starmooc.kr/courses/112/modules/items/3566 | 0:11:49 |
| 건설용 3D 콘크리트 프린팅에 대한 기초 이론 | Current Challenges in 3D Concrete Printing | https://canvas.starmooc.kr/courses/112/modules/items/3567 | 0:07:29 |
| 건설용 3D 콘크리트 프린팅에 대한 기초 이론 | Sustainability and Environmental Implications | https://canvas.starmooc.kr/courses/112/modules/items/3568 | 0:20:59 |
| 건설용 3D 콘크리트 프린팅에 대한 기초 이론 | Future Trend and Research Directions | https://canvas.starmooc.kr/courses/112/modules/items/3569 | 0:12:16 |
| 기초 인공지능프로그래밍 | 1-2 Introduction to programming languages and python | https://canvas.starmooc.kr/courses/98/modules/items/3359 | 0:04:47 |
| 기초 인공지능프로그래밍 | 1-3 Basic data types_ expressions and operators | https://canvas.starmooc.kr/courses/98/modules/items/3360 | 0:16:53 |
| 기초 인공지능프로그래밍 | 1-4 Practice: Python development environments | https://canvas.starmooc.kr/courses/98/modules/items/3361 | 0:17:41 |
| 기초 인공지능프로그래밍 | 1-5 Practice: Using python as a calculator | https://canvas.starmooc.kr/courses/98/modules/items/3362 | 0:06:05 |
| 기초 인공지능프로그래밍 | 2-3 Practice: standard inputs and outputs | https://canvas.starmooc.kr/courses/98/modules/items/3363 | 0:13:50 |
| 기초 인공지능프로그래밍 | 2-5 Practice: Conditional statements | https://canvas.starmooc.kr/courses/98/modules/items/3364 | 0:19:23 |
| 기초 인공지능프로그래밍 | 3-1 Introduction to functions | https://canvas.starmooc.kr/courses/98/modules/items/3365 | 0:16:49 |
| 기초 인공지능프로그래밍 | 3-2 How to define functions | https://canvas.starmooc.kr/courses/98/modules/items/3366 | 0:24:05 |
| 기초 인공지능프로그래밍 | 3-3 Namespace and local variables | https://canvas.starmooc.kr/courses/98/modules/items/3367 | 0:23:30 |
| 기초 인공지능프로그래밍 | 4-1 Data structures: list | https://canvas.starmooc.kr/courses/98/modules/items/3368 | 0:31:27 |
| 기초 인공지능프로그래밍 | 4-2 Data structures: tuple and string | https://canvas.starmooc.kr/courses/98/modules/items/3369 | 0:33:08 |
| 기초 인공지능프로그래밍 | 4-3 Loops: while and for | https://canvas.starmooc.kr/courses/98/modules/items/3370 | 0:42:23 |
| 기초 인공지능프로그래밍 | 5-3 List comprehension and dictionary comprehension | https://canvas.starmooc.kr/courses/98/modules/items/3371 | 0:10:24 |
| 기초 인공지능프로그래밍 | 8-2 How to use sys packages | https://canvas.starmooc.kr/courses/98/modules/items/3379 | 0:13:20 |
| 기초 인공지능프로그래밍 | 8-4 Practice: modules | https://canvas.starmooc.kr/courses/98/modules/items/3380 | 0:10:27 |
| 기초 인공지능프로그래밍 | 8-5 Programming styles | https://canvas.starmooc.kr/courses/98/modules/items/3381 | 0:27:32 |
| 네트워크과학 이론 | Graph Theory Basics(1) | https://canvas.starmooc.kr/courses/109/modules/items/3519 | 0:24:20 |
| 네트워크과학 이론 | A Small World & No Outliers | https://canvas.starmooc.kr/courses/109/modules/items/3520 | 0:17:33 |
| 네트워크과학 이론 | Real-World Networks Are Not Random | https://canvas.starmooc.kr/courses/109/modules/items/3521 | 0:20:02 |
| 데이터 사이언스 | 1-1. Introduction to Data Science | https://canvas.starmooc.kr/courses/91/modules/items/3258 | 0:07:23 |
| 데이터 사이언스 | 1-3. Data Science Applications I | https://canvas.starmooc.kr/courses/91/modules/items/3259 | 0:08:08 |
| 데이터 사이언스 | 2-1. Data Mining : Overview | https://canvas.starmooc.kr/courses/91/modules/items/3260 | 0:09:57 |
| 데이터 사이언스 | 2-3. Supervised Learning : Classification | https://canvas.starmooc.kr/courses/91/modules/items/3261 | 0:10:02 |
| 데이터 사이언스 | 2-4. Neural Network | https://canvas.starmooc.kr/courses/91/modules/items/3262 | 0:11:27 |
| 데이터 사이언스 | 3-1. Unsupervised Learning : Clustering | https://canvas.starmooc.kr/courses/91/modules/items/3263 | 0:06:04 |
| 데이터 사이언스 | 3-2. Unsupervised Learning : Association Rule Mining | https://canvas.starmooc.kr/courses/91/modules/items/3264 | 0:05:10 |
| 데이터 사이언스 | 3-3. Word Embedding - Word2vec | https://canvas.starmooc.kr/courses/91/modules/items/3265 | 0:09:23 |
| 데이터 사이언스 | 3-4. Convolutional Neural Network_ Recurrent Neural Network | https://canvas.starmooc.kr/courses/91/modules/items/3266 | 0:13:06 |
| 데이터 사이언스 | 4-3. Graphical Solution of Two-Dimensional Linear Programs | https://canvas.starmooc.kr/courses/91/modules/items/3267 | 0:15:27 |
| 데이터 사이언스 | 4-4. Convexity | https://canvas.starmooc.kr/courses/91/modules/items/3268 | 0:08:12 |
| 데이터 사이언스 | 6-1. Statistics for Data Science I | https://canvas.starmooc.kr/courses/91/modules/items/3269 | 0:06:06 |
| 데이터 사이언스 | 6-2. Statistics for Data Science II | https://canvas.starmooc.kr/courses/91/modules/items/3270 | 0:12:28 |
| 데이터 사이언스 | 7-2. Voice of Industry Experts II | https://canvas.starmooc.kr/courses/91/modules/items/3271 | 0:12:32 |
| 데이터 사이언스 | 7-4. Voice of Industry Experts IV | https://canvas.starmooc.kr/courses/91/modules/items/3272 | 0:14:00 |
| 데이터 사이언스 | 7-5. Voice of Industry Experts V | https://canvas.starmooc.kr/courses/91/modules/items/3273 | 0:05:09 |
| 데이터 사이언스 | 7-6. Voice of Industry Experts VI | https://canvas.starmooc.kr/courses/91/modules/items/3274 | 0:16:20 |
| 데이터 사이언스 | 8-1. Term Project Announcement | https://canvas.starmooc.kr/courses/91/modules/items/3275 | 0:08:27 |
| 데이터 사이언스 | 9-1. Types of Data Overview (structuredunstructured) | https://canvas.starmooc.kr/courses/91/modules/items/3276 | 0:05:08 |
| 데이터 사이언스 | 9-2. Unstructured Data Analysis | https://canvas.starmooc.kr/courses/91/modules/items/3277 | 0:04:55 |
| 데이터 사이언스 | 9-3. Time Series Data | https://canvas.starmooc.kr/courses/91/modules/items/3278 | 0:07:57 |
| 데이터 사이언스 | 9-4. Time Series Data Analysis | https://canvas.starmooc.kr/courses/91/modules/items/3279 | 0:13:26 |
| 데이터 사이언스 | 9-5. Data Quality (e.g._ Imputation) | https://canvas.starmooc.kr/courses/91/modules/items/3280 | 0:18:33 |
| 데이터 사이언스 | 10-1. Manufacturing Process Management | https://canvas.starmooc.kr/courses/91/modules/items/3281 | 0:12:55 |
| 데이터 사이언스 | 11-1. Business Process Management I | https://canvas.starmooc.kr/courses/91/modules/items/3282 | 0:10:56 |
| 데이터 사이언스 | 11-2. Business Process Management II | https://canvas.starmooc.kr/courses/91/modules/items/3283 | 0:13:32 |
| 데이터 사이언스 | 11-3. Personal Process Management | https://canvas.starmooc.kr/courses/91/modules/items/3284 | 0:09:22 |
| 데이터 사이언스 | 12-2. Maritime Logistics | https://canvas.starmooc.kr/courses/91/modules/items/3285 | 0:12:57 |
| 데이터 사이언스 | 13-1. Data Science for Transportation and Logistics Industry - (1) Optimization Modeling | https://canvas.starmooc.kr/courses/91/modules/items/3286 | 0:11:11 |
| 데이터 사이언스 | 13-2. Data Science for Transportation and Logistics Industry - (2) Case Study | https://canvas.starmooc.kr/courses/91/modules/items/3287 | 0:10:31 |
| 데이터 사이언스 | 13-3. Financial Data | https://canvas.starmooc.kr/courses/91/modules/items/3288 | 0:05:52 |
| 데이터 사이언스 | 13-4. Financial Data Analysis | https://canvas.starmooc.kr/courses/91/modules/items/3289 | 0:07:26 |
| 데이터 사이언스 | 14-1. Course summary | https://canvas.starmooc.kr/courses/91/modules/items/3290 | 0:07:23 |
| 바이오메디칼 공학이란 무엇인가? | 1.1 Introduction to UNIST BME | https://canvas.starmooc.kr/courses/110/modules | 0:08:49 |
| 바이오메디칼 공학이란 무엇인가? | 2.1 Seeing Life at Nanoscales | https://canvas.starmooc.kr/courses/110/modules/items/3523 | 0:13:51 |
| 바이오메디칼 공학이란 무엇인가? | 2.2 Translational Biophotonics | https://canvas.starmooc.kr/courses/110/modules/items/3524 | 0:16:07 |
| 바이오메디칼 공학이란 무엇인가? | 2.3 The Future of MRI and other Medical Imaging | https://canvas.starmooc.kr/courses/110/modules/items/3525 | 0:08:47 |
| 바이오메디칼 공학이란 무엇인가? | 3.1 Introduction to visual perception | https://canvas.starmooc.kr/courses/110/modules/items/3526 | 0:10:47 |
| 바이오메디칼 공학이란 무엇인가? | 3.2 Decision-making_ Learning_ and Brain Engineering | https://canvas.starmooc.kr/courses/110/modules/items/3527 | 0:10:47 |
| 바이오메디칼 공학이란 무엇인가? | 3.3 Mental Health and Digital Healthcare | https://canvas.starmooc.kr/courses/110/modules/items/3528 | 0:11:22 |
| 바이오메디칼 공학이란 무엇인가? | 4.1 Ergonomics & Biomechanics | https://canvas.starmooc.kr/courses/110/modules/items/3529 | 0:08:42 |
| 바이오메디칼 공학이란 무엇인가? | 4.2 Regeneration with Bioprinter | https://canvas.starmooc.kr/courses/110/modules/items/3530 | 0:12:11 |
| 바이오메디칼 공학이란 무엇인가? | 5.1 Lab-on-a-chip for Precision Medicine | https://canvas.starmooc.kr/courses/110/modules/items/3531 | 0:13:11 |
| 바이오메디칼 공학이란 무엇인가? | 5.2 Nanomedicine that interacts with host biology | https://canvas.starmooc.kr/courses/110/modules/items/3532 | 0:17:48 |
| 바이오메디칼 공학이란 무엇인가? | 5.3 Micro- and nanotechnology for human diseases | https://canvas.starmooc.kr/courses/110/modules/items/3533 | 0:11:29 |
| 바이오메디칼 공학이란 무엇인가? | 6.2 Genome Engineering and CRISPR | https://canvas.starmooc.kr/courses/110/modules/items/3534 | 0:10:52 |
| 바이오메디칼 공학이란 무엇인가? | 7.2 Center for Soft and Living Matter | https://canvas.starmooc.kr/courses/110/modules/items/3535 | 0:05:40 |
| 바이오메디칼 공학이란 무엇인가? | 7.3 Center for Cognition and Sociality | https://canvas.starmooc.kr/courses/110/modules/items/3536 | 0:10:47 |
| 분자건축학개론 | 1-1 과학자가 사는 법(1) : 연예인의 삶과 비슷한 과학자의 삶 | https://canvas.starmooc.kr/courses/111/modules/items/3537 | 0:04:18 |
| 분자건축학개론 | 1-3 분자로 새로운 물질 만들기 | https://canvas.starmooc.kr/courses/111/modules/items/3538 | 0:09:58 |
| 분자건축학개론 | 2-1 주변에서 볼 수 있는 다면체 | https://canvas.starmooc.kr/courses/111/modules/items/3539 | 0:04:29 |
| 분자건축학개론 | 2-2 벌의 집은 왜 육각형일까 | https://canvas.starmooc.kr/courses/111/modules/items/3540 | 0:04:37 |
| 분자건축학개론 | 3-1 Linus Pauling과 물의 구조 | https://canvas.starmooc.kr/courses/111/modules/items/3542 | 0:06:50 |
| 분자건축학개론 | 3-1 자연에서 이루어지는 분자의 각도 | https://canvas.starmooc.kr/courses/111/modules/items/3543 | 0:06:38 |
| 분자건축학개론 | 3-2 에너지와 분자 바느질 | https://canvas.starmooc.kr/courses/111/modules/items/3544 | 0:09:44 |
| 분자건축학개론 | 4-2 자연과학자의 생각법 (2) : no filter | https://canvas.starmooc.kr/courses/111/modules/items/3545 | 0:05:46 |
| 분자건축학개론 | 4-3 실패에 대한 재인식과 과학자들이 풀어야 할 문제 | https://canvas.starmooc.kr/courses/111/modules/items/3546 | 0:08:25 |
| 분자건축학개론 | 5-1 MOF-5의 구조와 녹는 특성에 따른 구조의 응용 | https://canvas.starmooc.kr/courses/111/modules/items/3546 | 0:14:16 |
| 분자건축학개론 | 5-2 인류가 풀어야 될 문제 | https://canvas.starmooc.kr/courses/111/modules/items/3547 | 0:12:18 |
| 분자건축학개론 | 5-3 전 분야의 과감한 변화가 필요 | https://canvas.starmooc.kr/courses/111/modules/items/3548 | 0:12:00 |
| 분자건축학개론 | 6-1 비표면적의 장점과 MOFs로의 응용 | https://canvas.starmooc.kr/courses/111/modules/items/3549 | 0:08:35 |
| 분자건축학개론 | 6-3 분자로 이루어진 다면체 | https://canvas.starmooc.kr/courses/111/modules/items/3550 | 0:08:19 |
| 분자건축학개론 | 7-1 MOP 분자의 구조 | https://canvas.starmooc.kr/courses/111/modules/items/3551 | 0:04:26 |
| 분자건축학개론 | 7-2 메타물질을 만드는데 있어서의 화학적 방법 | https://canvas.starmooc.kr/courses/111/modules/items/3552 | 0:05:42 |
| 블록체인 시스템 | 1-2. Money and Trust | https://canvas.starmooc.kr/courses/92/modules/items/3291 | 0:09:18 |
| 블록체인 시스템 | 1-3. What is a blockchain | https://canvas.starmooc.kr/courses/92/modules/items/3292 | 0:09:56 |
| 블록체인 시스템 | 2-2. Introduction to cryptographic hashing | https://canvas.starmooc.kr/courses/92/modules/items/3293 | 0:15:04 |
| 블록체인 시스템 | 2-3. Introduction to asymmetric encryption | https://canvas.starmooc.kr/courses/92/modules/items/3294 | 0:15:59 |
| 블록체인 시스템 | 3-1. Introduction to Bitcoin | https://canvas.starmooc.kr/courses/92/modules/items/3295 | 0:10:53 |
| 블록체인 시스템 | 3-3. Introduction to Bitcoin transactions | https://canvas.starmooc.kr/courses/92/modules/items/3296 | 0:09:54 |
| 블록체인 시스템 | 4-2. The Bitcoin blockchain | https://canvas.starmooc.kr/courses/92/modules/items/3297 | 0:12:12 |
| 블록체인 시스템 | 4-3. Introduction to Bitcoin mining | https://canvas.starmooc.kr/courses/92/modules/items/3298 | 0:18:28 |
| 블록체인 시스템 | 4-4. Advanced aspects of Bitcoin mining | https://canvas.starmooc.kr/courses/92/modules/items/3299 | 0:13:17 |
| 블록체인 시스템 | 5-2. Ethereum transactions | https://canvas.starmooc.kr/courses/92/modules/items/3300 | 0:17:56 |
| 블록체인 시스템 | 5-3. Ethereum consensus | https://canvas.starmooc.kr/courses/92/modules/items/3301 | 0:12:56 |
| 블록체인 시스템 | 6-1. Consensus algorithms | https://canvas.starmooc.kr/courses/92/modules/items/3302 | 0:15:43 |
| 블록체인 시스템 | 6-2. Ethereum smart contracts | https://canvas.starmooc.kr/courses/92/modules/items/3303 | 0:15:14 |
| 블록체인 시스템 | 6-3. Ethereum dapps | https://canvas.starmooc.kr/courses/92/modules/items/3304 | 0:09:37 |
| 블록체인 시스템 | 6-4. Ethereum tokens | https://canvas.starmooc.kr/courses/92/modules/items/3305 | 0:11:56 |
| 블록체인 시스템 | 7-1. Introduction to private blockchains | https://canvas.starmooc.kr/courses/92/modules/items/3306 | 0:07:12 |
| 블록체인 시스템 | 7-2. Introduction to Corda | https://canvas.starmooc.kr/courses/92/modules/items/3307 | 0:09:55 |
| 블록체인 시스템 | 7-3. Introduction to Hyperledger | https://canvas.starmooc.kr/courses/92/modules/items/3308 | 0:08:41 |
| 블록체인 시스템 | 8-1. Directed acyclic graphs and blockchain systems | https://canvas.starmooc.kr/courses/92/modules/items/3309 | 0:12:52 |
| 블록체인 시스템 | 8-2. Zero-proof knowledge protocols and blockchain systems | https://canvas.starmooc.kr/courses/92/modules/items/3310 | 0:14:13 |
| 일반 화학 실험 I | Lab Safety Training | https://canvas.starmooc.kr/courses/105/modules/items/3497 | 0:11:48 |
| 일반 화학 실험 I | Basic Laboratory Techniques | https://canvas.starmooc.kr/courses/105/modules/items/3498 | 0:21:14 |
| 일반 화학 실험 I | Limiting Reagent | https://canvas.starmooc.kr/courses/105/modules/items/3499 | 0:11:34 |
| 일반 화학 실험 I | Data and Discussion | https://canvas.starmooc.kr/courses/105/modules/items/3500 | 0:07:14 |
| 일반 화학 실험 I | Qualitative Analysis | https://canvas.starmooc.kr/courses/105/modules/items/3501 | 0:12:52 |
| 일반 화학 실험 I | Data and Discussion | https://canvas.starmooc.kr/courses/105/modules/items/3500 | 0:07:14 |
| 일반화학 : 실험과 응용을 통한 이론 이해 | 1-1. Periodic table | https://canvas.starmooc.kr/courses/113/modules/items/3570 | 0:04:22 |
| 일반화학 : 실험과 응용을 통한 이론 이해 | 1-2. Force and potental energy in atoms | https://canvas.starmooc.kr/courses/113/modules/items/3571 | 0:07:01 |
| 일반화학 : 실험과 응용을 통한 이론 이해 | 1-3. Ionization energy_ electron affinity_ electronegativity | https://canvas.starmooc.kr/courses/113/modules/items/3572 | 0:07:26 |
| 일반화학 : 실험과 응용을 통한 이론 이해 | 1-4. [Problem] Ionic bonding dissociation energy | https://canvas.starmooc.kr/courses/113/modules/items/3573 | 0:02:39 |
| 일반화학 : 실험과 응용을 통한 이론 이해 | 2-1. The wave nature of light | https://canvas.starmooc.kr/courses/113/modules/items/3574 | 0:03:37 |
| 일반화학 : 실험과 응용을 통한 이론 이해 | 2-4. Emission atomic spectra | https://canvas.starmooc.kr/courses/113/modules/items/3575 | 0:02:09 |
| 일반화학 : 실험과 응용을 통한 이론 이해 | 3-1. Bohr’s atomic model | https://canvas.starmooc.kr/courses/113/modules/items/3576 | 0:05:03 |
| 일반화학 : 실험과 응용을 통한 이론 이해 | 3-2. De Broglie waves | https://canvas.starmooc.kr/courses/113/modules/items/3577 | 0:03:44 |
| 일반화학 : 실험과 응용을 통한 이론 이해 | 3-4. [Problem] De Broglie wave in the photoelectric effect | https://canvas.starmooc.kr/courses/113/modules/items/3578 | 0:03:04 |
| 통계적 공정 모니터링 | Introduction to SPC | https://canvas.starmooc.kr/courses/104/modules/items/3488 | 0:09:55 |
| 통계적 공정 모니터링 | Application of Statistical Process Control | https://canvas.starmooc.kr/courses/104/modules/items/3489 | 0:14:35 |
| 통계적 공정 모니터링 | Shewhart Control Chart-1 | https://canvas.starmooc.kr/courses/104/modules/items/3490 | 0:06:34 |
| 통계적 공정 모니터링 | Shewhart Control Chart-2 | https://canvas.starmooc.kr/courses/104/modules/items/3491 | 0:21:05 |
| 통계적 공정 모니터링 | Shewhart Control Chart-3 | https://canvas.starmooc.kr/courses/104/modules/items/3492 | 0:12:05 |
| 통계적 공정 모니터링 | Process Capability Analysis | https://canvas.starmooc.kr/courses/104/modules/items/3493 | 0:11:24 |
| 통계적 공정 모니터링 | CUSUM | https://canvas.starmooc.kr/courses/104/modules/items/3494 | 0:12:13 |
| 통계적 공정 모니터링 | EWMA & Monte Carlo Simulation | https://canvas.starmooc.kr/courses/104/modules/items/3495 | 0:11:00 |
■ 관련 자료
울산과학기술원_공개강의 목록_20241231.csv
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울산과학기술원_공개강의 목록_20241231
울산과학기술원에서 전체 공개하는 강의에 대한 목록입니다.<br/>과목정보, 강의 제목, 강의 시간, 영상에 대한 링크 등을 리스트 업 한 자료입니다.
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미니소화기 파이렉스 FIREX 스프레이식 소화기 가정용 휴대용 차량용 최신제품 당일발송 - 소화기
현재 별점 4.7점, 리뷰 139개를 가진 미니소화기 파이렉스 FIREX 스프레이식 소화기 가정용 휴대용 차량용 최신제품 당일발송! 지금 쿠팡에서 더 저렴하고 다양한 소화기/거치대 제품들을 확인해보
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쿠팡에서 4.9 구매하고 더 많은 혜택을 받으세요! 지금 할인중인 다른 15 제품도 바로 쿠팡에서 확인할 수 있습니다.
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■ 기준 날짜
2025.1.1
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