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Sungkyunkwan University Courses

Sungkyunkwan University is a private research university with campuses in Seoul and Suwon. Originally, it was founded in 1398 by the Joseon Dynasty located in the heart of central Seoul.

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A Bridge to the World: Korean Language for Intermediate1

A Bridge to the World: Korean Language for Intermediate1

0

Class Central TipsLearn How to Sign up to Coursera courses for free1600+ Coursera Courses That Are Still Completely FreeThis course is designed for anyone who wants to learn Korean. This course is useful for learners who want to improve their communication skills on personal topics frequently encountered in their daily life after learning basic Korean. Through this class, you can use expressions such as introducing, talking about experiences, and comforting, and you will be able to increase your understanding of basic Korean culture. This course is organized in the order of core expression, conversation, grammar, and self-assessment. The entire course is six weeks long, and consists of two sub-themes within one major topic, so there are a total of 12 lessons. Improve your Korean language skills with this course!Chief Contents Developer: Su Mi LeeContents Developers: Pil Yeo Shin, Hye Kyung Park Production Assistant: Mi Seon LeePart of this course was developed with K-MOOC(Korean MOOC) funds.

Coursera
6 weeks long, 12 hours worth of material
ongoing
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Transmedia Storytelling

Transmedia Storytelling

0

##Stories are increasingly told across a variety of formats - books, comics, events, films, games and TV programmes. This is known as transmedia storytelling or multiplatform storytelling.This course will help you tell compelling stories across multiple platforms.We’ll look at examples such as The Avengers, The Matrix and Transformers - and put theory into practice, by retelling the popular fable, The Three Little Pigs, in a multiplatform format.You’ll learn with Daniel H Byun - the film director also known as 변혁.This course is suitable for anyone studying or working in media or marketing, who is interested in telling stories across multiple platforms.

FutureLearn
6 weeks long, 3 hours a week
past
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Machine Learning Basics

Machine Learning Basics

0

Class Central TipsLearn How to Sign up to Coursera courses for free1600+ Coursera Courses That Are Still Completely FreeIn 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.

Coursera
4 weeks long, 15 hours worth of material
upcoming
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Fundamentals of CNNs and RNNs

Fundamentals of CNNs and RNNs

0

Class Central TipsLearn How to Sign up to Coursera courses for free1600+ Coursera Courses That Are Still Completely FreeThis course covers fundamental concepts of convolutional neural networks (CNNs) and recurrent neural networks (RNNs), which are widely used in computer vision and natural language processing areas.
In the CNN part, you will learn the concepts of CNNs, the two major operators (convolutionand pooling), and the structure of CNNs. In the RNN part, you will learn the concept and the structure of RNNs, and the two variants of RNNs, LSTMs and GRUs.
The goal of this course is to give learners basic understanding of CNNs and RNNs. Throughout this course, you will be equipped with skills required for computer vision and natural language processing.

Coursera
5 weeks long, 5-6 hours worth of material
ongoing
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Using R for Regression and Machine Learning in Investment

Using R for Regression and Machine Learning in Investment

0

Class Central TipsLearn How to Sign up to Coursera courses for free1600+ Coursera Courses That Are Still Completely FreeIn this course, the instructor will discuss various uses of regression in investment problems, and she will extend the discussion to logistic, Lasso, and Ridge regressions. At the same time, the instructor will introduce various concepts of machine learning. You can consider this course as the first step toward using machine learning methodologies in solving investment problems. The course will cover investment analysis topics, but at the same time, make you practice it using R programming. This course's focus is to train you to use various regression methodologies for investment management that you might need to do in your job every day and make you ready for more advanced topics in machine learning. The course is designed with the assumption that most students already have a little bit of knowledge in financial economics and R programming. Students are expected to have heard about stocks and bonds and balance sheets, earnings, etc., and know the introductory statistics level, such as mean, median, distribution, regression, etc. Students are also expected to know of the instructors' 1st course, 'Fundamental of data-driven investment.'The instructor will explain the detail of R programming. It will be an excellent course for you to improve your programming skills but you must have basic knowledge in R. If you are very good at R programming, it will provide you with an excellent opportunity to practice again with finance and investment examples.

Coursera
2 weeks long, 17 hours worth of material
upcoming
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The Korean Alphabet: An Introduction to Hangeul

The Korean Alphabet: An Introduction to Hangeul

3.5

Explore the Hanguel alphabet and start learning KoreanHanguel, also spelt Hangul or Han’gŭl, is the alphabetic system used for writing the Korean language.Known as Chosŏn muntcha in North Korea, it consists of 24 letters including 14 consonants and ten vowels.The name combines the ancient Korean word han (‘great’), and geul (‘script’). The word han is used to refer to Korea in general, so the name also means ‘Korean script’.This course is an introduction to the basics of Hanguel including the principles and systems of consonants and vowels, as well as an exploration of the creation and use of Hangeul in a wider historical context.This course is designed for students and teachers of Korean as well as anyone interested in Korean or alphabets from around the world.

FutureLearn
4 weeks long, 2 hours a week
selfpaced
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Introduction to Quantitative Investing

Introduction to Quantitative Investing

0

##Financial markets have become increasingly complex - it’s not easy to know where to start when it comes to investing. In today’s world the demand of accurate data-driven quantitative analysis across the world is steadily rising: it’s become crucial to understand and be able to use statistical and mathematical information accurately and promptly.This course will teach you the essentials of modern investment theory and help you learn to apply them in real life using financial data and programming.Understand modern investment theoryOn the course you’ll start by learning about key concepts in modern investment theory and quantitative investing like return, risk and portfolio optimisation.Get used to statistical techniques and practice using programming language ROnce you’ve learnt basic investment concepts we’ll look at applying them using statistics and programming using open source language R will be introduced. You’ll practice by doing assignments every week using actual securities data from Yahoo Finance.Discover how to construct an investment portfolioUsing your new knowledge of quantitative investing and your ability to analyse investment characteristics using programming, you’ll be able to build your own diversified investment portfolio based on return analysis.Learn from an expert in the fieldThrough the course you’ll be taught by an educator who has worked in quantitative finance for more than 15 years in Wall Street global investment banks, before she joined SKKU in 2015. She was Chief Investment Officer at a hedge fund and head of systematic trading groups at global banks such as Citi and J.P. Morgan.You’ll need to have studied maths to a high school level, but other than that there are no special requirements for this course - you don’t need any experience in programming or investing.

FutureLearn
6 weeks long, 3 hours a week
past
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Energy Harvesting

Energy Harvesting

0

Class Central TipsLearn How to Sign up to Coursera courses for free1600+ Coursera Courses That Are Still Completely FreeJoining this course presents opportunity to learn about energy harvesting that refers to a technology that converts the energy discarded in our daily lives into useful electrical energy that we can use. As we all know, most of low-power electronics, such as remote sensors, are driven by batteries. However, even when it comes to long-lasting batteries, they face an issue that is a regular replacement. It can turn out to be costly as there are hundreds of sensors in remote locations. Whereas, energy harvesting technologies supply unlimited operating life of low-power equipment and even remove the need to replace batteries where it is costly, unfeasible, or unsafe. The whole sessions cover the concept of energy harvesting technologies, which has gained popularity over the last few years, and thus will be beneficial for those who seeks for understanding principles and their applications.

Coursera
4 weeks long, 10 hours worth of material
upcoming
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Introduction to Korean Philosophy

Introduction to Korean Philosophy

4

Discover the key philosophical ideas in the intellectual history of KoreaDespite the growing interest in Korean culture, there are few courses which explore the fascinating topic of Korean philosophy.On this course, you’ll be introduced to concepts in Korean philosophy through an exploration of the Korean language, culture and perspective.The Korean cultural, social, and political environment has informed and transformed the intellectual assets of China and the West. You’ll explore the creative tensions that Koreans have experienced, and broaden your worldview as you discover a new philosophical approach.This course is designed for anyone interested in philosophy or Korean culture.It will be of particular interest to teachers and students of Korean studies.

FutureLearn
4 weeks long, 2 hours a week
selfpaced
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Artificial Intelligence and Machine Learning for Business

Artificial Intelligence and Machine Learning for Business

0

Discover how predictive analytics could transform your businessAs businesses accrue more and more data about their customers – from their behavioural history to their transactions – being able to use ‘Big Data’ is becoming increasingly key to low-term business success.On this course, you’ll understand how predictive analytics can be used to get useful information out of your data. You’ll identify how techniques like machine learning and data mining can help you become a data-centred project manager who can solve business problems, and drive revenue.Learn how predictive analytics helps businessPredictive analytics encompasses a variety of statistical techniques in big data analysis and machine learning.Alongside data science experts at Sungkyunkwan University (SKKU), you’ll get foundational training in the concepts and principles that underlie data science and statistical modelling techniques.See how data science can boost business performanceThe course will take you through a series of real-world business problems, solving each by using key predictive analytics methods.These include statistical methodologies and algorithms such as artificial neural networks, clustering, text mining, decision trees, and natural language processing.Explore the relationship between predictive analysis and machine learningYou’ll discover the essentials of machine learning, which can be a vital tool in analysing and making use of data.Discover the difference between supervised machine learning – where you can collect data based on previous experience – and unsupervised machine learning – where you can find new data patterns.Gain practical big data skillsAlong the way, you’ll learn how to use predictive tools to extract knowledge from data, connect actual business problems with data science solutions, and lead a data science-orientated team.This course would benefit an aspiring manager who wants to align their understanding of business and technical solutions and to lead comprehensive business solutions including data science teams.Learners will require access to Microsoft Excel (or Excel Online) to open and edit data sheet files.

FutureLearn
4 weeks long, 2 hours a week
selfpaced
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A Bridge to the World: Korean Language for Advanced Ⅰ

A Bridge to the World: Korean Language for Advanced Ⅰ

0

Class Central TipsLearn How to Sign up to Coursera courses for free1600+ Coursera Courses That Are Still Completely FreeThrough this course, you can understand Korean more deeply and get advanced Korean language skills. This course is for advanced Korean learners who are interested in Korean language and culture. The course consists of 5 lessons, each lesson has the main topic of language, job, science, pop culture, and international issues. You can listen to and understand news and dialogues, and learn the expressions used in them in each lesson. Also, on the last day of each week, you can share your opinions with other learners through discussion activities. Take your Korean up a notch with this course!

Coursera
5 weeks long, 10 hours worth of material
ongoing
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The Korean Alphabet: An Introduction to Hangeul

The Korean Alphabet: An Introduction to Hangeul

4

Class Central TipsLearn How to Sign up to Coursera courses for free1600+ Coursera Courses That Are Still Completely FreeThis course introduces Korean characters,'Hangeul', and provides high-level knowledge related to Hangeul. In this course, the background of 'Hangul' is created, who made the Hangeul, and according to what principle it is systematically explained. It also introduces anecdotes related to Korean tourist destinations related to Hangeul and teaches how to write Hangeul. Learners can increase their understanding of Korea, learn Hangeul accurately, and cultivate high-level knowledge of Hangeul.

Coursera
4 weeks long, 18 hours worth of material
ongoing
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Introduction to Korean Philosophy and Culture

Introduction to Korean Philosophy and Culture

5

Class Central TipsLearn How to Sign up to Coursera courses for free1600+ Coursera Courses That Are Still Completely FreeThis course will give you the cultural and historical background to begin your journey into Korean philosophy, and there is no prerequisite knowledge on philosophy required. Anybody who either has an interest in Korean culture, maybe through K-Dramas or K-pop, or an interest in philosophy from a cross-cultural perspective, are all welcome.Despite the growing interest in Korean culture, there are few courses which explore the fascinating topic of Korean philosophy. On this course, you’ll be introduced to concepts in Korean philosophy through an exploration of the Korean language, culture and perspective.The Korean cultural, social, and political environment has informed and transformed the intellectual assets of China and the West. You’ll explore the creative tensions that Koreans have experienced, and broaden your worldview as you discover a new philosophical approach.

Coursera
4 weeks long, 12 hours worth of material
upcoming
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A Bridge to the World: Korean Language for Beginners Ⅰ

A Bridge to the World: Korean Language for Beginners Ⅰ

0

Class Central TipsLearn How to Sign up to Coursera courses for free1600+ Coursera Courses That Are Still Completely FreeThis course is an introductory course to Korean language that aims to cultivate basic communication skill for those that are interested in learning Korean language.The course is composed of essential expressions that are often used in everyday life, and designed to teach grammars using basic dialogues which reflect colloquial characteristics of Korean language so by end of this course, a student will be able to express him/herself on ordinary topics.Also, the course provides dialogues used in both formal and informal situations to help students to express in Korean language appropriately in particular situations, and provides various material to help students to understand unique culture of Korean language.Chief Contents Developer: Won-Sook HyunContents Developers: Eun-Sil Hong, Ha-ra YuProduction Assistant: Sa-ra YooPart of this course was developed with K-MOOC(Korean MOOC) funds.

Coursera
6 weeks long, 17 hours worth of material
upcoming
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The Fundamental of Data-Driven Investment

The Fundamental of Data-Driven Investment

0

Class Central TipsLearn How to Sign up to Coursera courses for free1600+ Coursera Courses That Are Still Completely FreeIn this course, the instructor will discuss the fundamental analysis of investment using R programming. The course will cover investment analysis topics, but at the same time, make you practice it using R programming. This course's focus is to train you to do the elemental analysis for investment management that you might need to do in your job every day. Additionally, the study note to do using Python programming will be provided. The course is designed with the assumption that most students already have a little bit of knowledge in financial economics. Students are expected to have heard about stocks and bonds and balance sheets, earnings, etc., and know the introductory statistics level, such as mean, median, distribution, regression, etc. The instructor will explain the detail of R programming for beginners. It will be an excellent course for you to improve your programming skills. If you are very good at R programming, it will provide you an excellent opportunity to practice again with finance and investment examples. Professor Youngju Nielsen creates the course with the assistants of Keonwoo Lim and Jeeun Yuen.===========================================================================================Coursera Course recommendations before this course for those who are not familiar with basic R programming:https://www.coursera.org/projects/getting-started-with-r https://www.coursera.org/learn/business-analytics-rhttps://www.coursera.org/specializations/statistics-with-python

Coursera
4 weeks long, 19 hours worth of material
upcoming
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