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Course & Curriculum

For more details on the courses, please refer to the Course Catalog

교육과정
Code Course Title Credit Learning Time Division Degree Grade Note Language Availability
CHS2001 New humanity Phono Sapiens created by Smartphone 1 2 Major Bachelor 1-4 Challenge Semester Korean Yes
The humanity which have begun using smartphones are showing changes in consumer psychology, consumer behavior and market ecosystems due to rapidly changing lifestyles. This is Phono Sapiens, the new humanity is the hero of the revolution. The purpose of this course learn about the changes in business models due to the development of big data, artificial intelligence, and digital platforms by the change of consumption civilization. And it analyzes the development direction of continuously developing 5G, Internet of Things, robot, drone, autonomous vehicle, and smart factory. On this basis, companies present and understand new business innovation and directionality of change for new consumers called phono sapiens
CHS2002 Data Science and Social Analytics 1 2 Major Bachelor 1-4 Challenge Semester - No
This course is intended to examine human behaviors and social phenomena through the lens of data science. Students also may learn online data collection and analysis in social media spaces. It deals with both theory and practice, but relative portion may change in each semester without prior notice.
CHS2013 The Convergence of Cognitive Neuroscience and Neurotechnology with Humanities and Social Sciences 3 6 Major Bachelor 1-4 Challenge Semester - No
This course will introduce fundamentals of how human brain works and the state-of-the-art of neuroscience research. This course will cover the convergence of cognitive neuroscience and neurotechnology with humanities and social sciences (e.g., brain-computer interface, neuroscience-based cognitive computing, neuroergonomics, etc.), their applications and future directions through class discussions. This course aims for students to 1) understand the literature in the fields of cognitive neuroscience and neurotechnology based on the understanding of humanities and social sciences; 2) articulate the domains and contexts in which cognitive neuroscience and neurotechnology may be effective; 3) develop an ability to lay out the open questions and address challenges in cognitive neuroscience and neurotechnology research today; and 4) prepare them to be more knowledgeable and proficient professionals.
CHS7003 Artificial Intelligence Application 3 6 Major Bachelor/Master/Doctor Challenge Semester - No
Cs231n, an open course at Stanford University, is one of the most popular open courses on image recognition and deep learning. This class uses the MOOC content which is cs231n of Stanford University with a flipped class way.  This class requires basic undergraduate knowledge of mathematics (linear algebra, calculus, probability/statistics) and basic Python-based coding skills. The specific progress and activities of the class are as follows. 1) Listening to On-line Lectures (led by learners) 2) On-line lecture (English) Organize individual notes about what you listen to 3) On-line lecture (English) QnA discussion about what was listened to (learned by the learner) 4) QnA-based Instructor-led Off-line Lecture (Korean) Lecturer 5) Team Supplementary Presentation (Learner-led)   For each topic, learn using the above mentioned steps from 1) to 5). The grades are absolute based on each activity, assignment, midterm exam and final project.   Class contents are as follows. - Introduction Image Classification Loss Function & Optimization (Assignment # 1) - Introduction to Neural Networks - Convolutional Neural Networks (Assignment # 2) - Training Neural Networks - Deep Learning Hardware and Software - CNN Architectures-Recurrent Neural Networks (Assignment # 3) - Detection and Segmentation - Generative Models - Visualizing and Understanding - Deep Reinforcement Learning - Final Project.   This class will cover the deep learning method related to image recognitio
CHS7003 Artificial Intelligence Application 3 6 Major Bachelor/Master/Doctor Challenge Semester - No
Cs231n, an open course at Stanford University, is one of the most popular open courses on image recognition and deep learning. This class uses the MOOC content which is cs231n of Stanford University with a flipped class way.  This class requires basic undergraduate knowledge of mathematics (linear algebra, calculus, probability/statistics) and basic Python-based coding skills. The specific progress and activities of the class are as follows. 1) Listening to On-line Lectures (led by learners) 2) On-line lecture (English) Organize individual notes about what you listen to 3) On-line lecture (English) QnA discussion about what was listened to (learned by the learner) 4) QnA-based Instructor-led Off-line Lecture (Korean) Lecturer 5) Team Supplementary Presentation (Learner-led)   For each topic, learn using the above mentioned steps from 1) to 5). The grades are absolute based on each activity, assignment, midterm exam and final project.   Class contents are as follows. - Introduction Image Classification Loss Function & Optimization (Assignment # 1) - Introduction to Neural Networks - Convolutional Neural Networks (Assignment # 2) - Training Neural Networks - Deep Learning Hardware and Software - CNN Architectures-Recurrent Neural Networks (Assignment # 3) - Detection and Segmentation - Generative Models - Visualizing and Understanding - Deep Reinforcement Learning - Final Project.   This class will cover the deep learning method related to image recognitio
CHS7004 Thesis writing in humanities and social sciences using Python 3 6 Major Bachelor/Master/Doctor Challenge Semester Korean Yes
This course is to write a thesis in humanities and social science field using Python. This course is for writing thesis using big data for research in the humanities and social sciences. Basically, students will learn how to write a thesis, and implement a program in Python as a research methodology for thesis. Students will learn how to write thesis using Python, which is the most suitable for processing humanities and social science related materials among programming languages ​​and has excellent data visualization. Basic research methodology for thesis writing will be covered first as theoretical lectures. Methodology for selection of topics will be discussed also. Once a topic is selected, a lecture on how to organize related research will be conducted. In the next step, students learn how to write necessary content according to the research methodology. Then how to suggest further discussion along with how to organize bibliography to complete a theoretical approach. The basic Python grammar is covered for data analysis using Python, and the process for input data processing is conducted. After learning how to install and use the required Python package in each research field, the actual data processing will be practiced. To prepare for the joint research, learn how to use the jupyter notebook as the basic environment. Learn how to use matplolib for data visualization and how to use pandas for big data processing.
CHS7004 Thesis writing in humanities and social sciences using Python 3 6 Major Bachelor/Master/Doctor Challenge Semester Korean Yes
This course is to write a thesis in humanities and social science field using Python. This course is for writing thesis using big data for research in the humanities and social sciences. Basically, students will learn how to write a thesis, and implement a program in Python as a research methodology for thesis. Students will learn how to write thesis using Python, which is the most suitable for processing humanities and social science related materials among programming languages ​​and has excellent data visualization. Basic research methodology for thesis writing will be covered first as theoretical lectures. Methodology for selection of topics will be discussed also. Once a topic is selected, a lecture on how to organize related research will be conducted. In the next step, students learn how to write necessary content according to the research methodology. Then how to suggest further discussion along with how to organize bibliography to complete a theoretical approach. The basic Python grammar is covered for data analysis using Python, and the process for input data processing is conducted. After learning how to install and use the required Python package in each research field, the actual data processing will be practiced. To prepare for the joint research, learn how to use the jupyter notebook as the basic environment. Learn how to use matplolib for data visualization and how to use pandas for big data processing.
COV7001 Academic Writing and Research Ethics 1 1 2 Major Master/Doctor SKKU Institute for Convergence Korean Yes
1) Learn the basic structure of academic paper writing, and obtain the ability to compose academic paper writing. 2) Learn the skills to express scientific data in English and to be able to sumit research paper in the international journals. 3) Learn research ethics in conducting science and writing academic papers.
DAI5001 Fundamentals of Artificial Intelligence 3 6 Major Master/Doctor 1-8 Applied Artificial Intelligence - No
Artificial intelligence is a field of research into information processing models that can mimic human intelligence and cognitive functions. As a fundamental problem of artificial intelligence, it deals with theories and fundamental computational problems on the methods of empirical exploration, reasoning, learning and knowledge expression. It deals with logic-based proof of theorem, game theory, intelligent agent, etc., learns the basic principles of neural network, evolutionary computation, and beigean network, and examines areas such as expert system, computer vision, natural language processing, data mining, information search and bioinformatics as examples of its application.
HRD5011 Picturebooks and Play 3 6 Major Master/Doctor 1-4 Human Resource Development - No
Modern picture books have developed as an unique art form rather than a sub genre of children's literature. This course will examine the relationships among picture books, imagination and play through literary works. Play elements of picture book reading behavior of child and adult readers will be observed and analyzed. The topics that this course will deal with are play and art, play and imagination, children's play expressed in picture books, child psychology, play elements of picture books and picture book reading.
HRD5012 Media in the Life and Education of Children 3 6 Major Master/Doctor 1-4 Human Resource Development Korean Yes
The purpose of this course is to explore the role of mass media in children's lives and education. The focus will be on the way to help children to grow as responsive readers of mass media. The topics include: the change in views on child in past and present; the trend and features of children's use of media in our society; the types and development of media education programs.
HRD5016 Approches to Cross-Cultural Counseling 3 6 Major Master/Doctor 1-4 Human Resource Development - No
This course will examine various issues involving counseling with children and families from diverse cultures. It will explore in depth the relationship among culture, status, ethnicity, cognitive ability, religion, physical ability, etc. Research from different countries will provide the basis for understanding the situation in Korea.
HRD5017 Child Abuse and Neglect 3 6 Major Master/Doctor 1-4 Human Resource Development - No
This course will provide a broad overview of the topic of child abuse and neglect. Including the assessment and treatment of physical abuse, emotional abuse and neglect. This course will also deal with the nature, causes, consequences, and societal responses to institutional and individual forms of child maltreatment. Students aim to propose legal, legislative and social reform in light of their social science understanding of violence against and by children.
HRD5018 Barriers to learning , development and participation in soceity 3 6 Major Master/Doctor 1-4 Human Resource Development - No
This course will examine the shift in the paradigm of inclusion. Special education will be viewed from the perspective of rights-based approach to learning for all children with disabilities. Education will be viewed with the purpose of reducing or eliminating barriers to learning and development. Furthermore, it will extend learning to include participation in the society. Students will be introduced to the new UN Convention on Persons with Disabilities and various other relevant documents.
HRD5019 Risk and Resilience 3 6 Major Master/Doctor 1-4 Human Resource Development - No
This course will provide an integrative review of major research findings on resilient adaptation during childhood. Since resilience is not a child attribute that can be directly measured, it will be viewed from the perspective of dual coexisting conditions of high adversity and positive adaptation in spite of this. The concept of risk and resilience will be applied to various risk factors.