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Applied Artificial Intelligence (Special Graduate)

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
AAID016 AI Convergence Project 2 3 6 Major Master 5 Korean Yes
This course aims the researching and developing the individual project based on the understanding of the artificial intelligence technologies. Lecturer leads the research and development project with the person-to-person lecturing and collaborative discussions. The final output of this course would be the research paper and/or the demoable project implementation.
AAID017 AI Convergence Project 3 3 6 Major Master 5 Korean Yes
This course aims the researching and developing the individual project based on the understanding of the artificial intelligence technologies. Lecturer leads the research and development project with the person-to-person lecturing and collaborative discussions. The final output of this course would be the research paper and/or the demoable project implementation.
AAID018 AI Convergence Project 4 3 6 Major Master 5 Korean Yes
This course aims the researching and developing the individual project based on the understanding of the artificial intelligence technologies. Lecturer leads the research and development project with the person-to-person lecturing and collaborative discussions. The final output of this course would be the research paper and/or the demoable project implementation.
AAID019 AI Convergence Project 5 3 6 Major Master 5 Korean Yes
This course aims the researching and developing the individual project based on the understanding of the artificial intelligence technologies. Lecturer leads the research and development project with the person-to-person lecturing and collaborative discussions. The final output of this course would be the research paper and/or the demoable project implementation.
AAID020 AI-based instructional materials development 3 6 Major Master 5 - No
This course is intended to explore the possibility of AI used for educational purposes and to have theoretical and practical experiences in developing and evaluating AI-based teaching and learning materials. Based on the understanding of artificial intelligence, the learners can understand various methods of how to develop artificial intelligence-based teaching and learning materials in the current school field. Through collaboration with teachers in similar subjects and school levels, the learners can experience the entire process of planning, designing, developing, evaluating, modifying, and sharing the most useful artificial intelligence teaching-learning materials. To this end, we explore various AI-based teaching-learning materials that have been developed previously, apply them to our own classes, and plan and design new teaching-learning materials based on the results of evaluation.
AAID021 Data Communicaions in Networking 3 6 Major Master 2-5 Korean Yes
An artificial intelligence model requires vast amounts of data. This data is collected from various sources, and in the process of transmitting and processing it into the AI model, data communication technology is essential. Moreover, AI systems necessitate real-time responses. For instance, in autonomous vehicles, medical diagnostic systems, and educational information systems, real-time data communication is crucial for making rapid decisions. Understanding the basics of digital communication provides insights into the efficient transmission of data and AI models.
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.
SOA4002 AI & Art 3 6 Major Bachelor/Master 1-4 Art Korean Yes
The course aims to help understand artificial intelligence and deep learning as a cultural technology(CT) beyond simply understanding artificial intelligence as a new technology, including the definition and trend of artificial intelligence and the possibility of changes in the art field using artificial intelligence technology, and to practice it directly. In order to cultivate core technology-art convergence talent in the field of art, I would like to learn knowledge about artificial intelligence, machine learning and deep learning and actually utilize it in this class.

 

Understanding of Artificial Intelligence and Basis of Data Science

In this lecture, you will understand the core technologies of artificial intelligence and learn cases where related technologies are actually used throughout the industry. Also, this lecture covers the basic concepts of artificial intelligence technology, search&optimization, various methods of knowledge expression, and machine learning methods including deep learning.

Basic Programming for Education of Applied Artificial Intelligence

In this lecture, you will learn the programming basics for convergence education in the AI era. Students who have taken this course aim to develop the ability to perform basic coding tasks using Python programming language. Also, you will write applied artificial intelligence-based educational programs using the programming skills you have learned.

Data Structures and Algorithm for Data Science

This lecture is a basic course for solving problems in data science, which covers the analysis of problems given, the design of data structures, the development of algorithms, and the technology of implementation.

Computational Thinking and Problem Solving

In this lecture, you will learn how to find problems using special patterns and procedures in given circumstances, and how to devise computing programs able to solve these problems. Specifically, this course covers concepts of problem decomposition, pattern matching, abstraction, automation and aims to enable students to apply what they have learned to real situations.

Teaching Methods & Educational Technology using Artificial Intelligence

In this lecture, you will explore various AI-based methods necessary for teaching subjects in school. Also you will conduct mock classes on a specific topics by writing a lesson guide.

AI-based Instructional/learning Materials Development

In this lecture, you will develop learning materials for AI education, and apply it through practices. You will also learn about the hardware and software composition to link with equipment needed for AI education.

Materials and Methods in Applied Artificial Intelligence Education

In this lecture, you will study teaching materials and textbooks for effective and efficient applied artificial intelligence education. Through this course, you will be able to evaluate what are the appropriate materials for AI-based classes.

Understanding and Application of AI based Classes

In this lecture, you will learn relationship between education and AI technology. Also you will be able to understand classes using AI technologies more deeply by looking over the actual cases.

Artificial Intelligence Ethics

This lecture covers the proper attitudes humans should have with the development of artificial intelligence and social issues related with AI development.

AI-based Mathematics·Science Education

In this lecture, you will apply the latest applied AI technology to elementary and secondary education in Mathematics and Science.

AI-based Liberal Arts·Social Studies Education

In this lecture, you will apply the latest applied AI technology to elementary and secondary education in Liberal Arts·Social Studies.

AI-based Arts·Physical Education

In this lecture, you will apply the latest applied AI technology to elementary and secondary education in Arts·Physical Education.

Advanced Programming for Applied Artificial Intelligence Education

In this lecture, you will learn an advanced course of Python, a programming language for artificial intelligence, and Keras, one of the the deep learning framework. You will also implement and test AI's basic Neural Network (CNN, RNN, etc.) model directly.

Data Mining

In this lecture, you will learn various methodologies of data mining, and acquire problem solving skills using those methodologies. At the end of this course, your ability to discover new facts which meet consumer needs by using data mining technologies.

Data Network

This lecture t introduces the basic concepts and elements of design and implementation of the 1) network, 2) protocols, and 3) applications.

Big Data Analytics and Visualization

In this lecture, you will apply statistical data processing, data mining, concepts learned in data analysis, methods and algorithms to practical & large data analysis.

Machine Learning and Deep Learning

In this lecture, you will learn the history of machine learning and deep learning. You will also learn about the the latest AI models such as CNN, RNN, GAN, and LSTN.

Deep Learning Based Computer Vision

This lecture covers the basic contents of computer vision, such as image formation, basic template class, pixel processing, and image classification. Based on these contents, you will learn deep learning-based computer vision technology and develops computer vision-based programs that can be used to solve problems.

AI Education Using Physical Computing

In this lecture, you will learn physical computing, such as Arduino Engineering Basics, Transistor and Drive Motor, and Shift Register. The final goal is to present AI education projects based on what you have learned.

Deep Learning Based Virtual Reality

In this lecture, you will learn about video processing and virtual reality processing technology using the latest deep learning technology.

Natural Language Processing

Through this course, you will learn the core models based on deep learning for natural language processing, and the application areas of these models, such as document classification, machine translation, and question and answer. You will also learn about natural language processing techniques that can be combined with education.

AI Techonology Seminar

This course is a seminar-type course that learns about the latest theories and industrial trends in the field of artificial intelligence, and artificial intelligence techniques that are being applied in the field of education. It provides more realistic and high-quality learning opportunities through inviting outside experts.

Curriculum-related AI Project

In this lecture, you will conduct the entire process of the project from selecting the subject of the AI convergence project, writing proposals, carrying out tasks and reporting based on the acquired major knowledge. It aims to increase the on-site ability through selecting the subject with contents related to various subjects and carrying out projects similar to the company's work.

Industry-Academia related AI Project

In this lecture, you will conduct the entire process of the project from selecting the subject of the AI convergence project, writing proposals, carrying out tasks and reporting based on the acquired major knowledge. By reflecting the demand of industry on the subject, it will help students to experience constructing and solving problems that are actually addressed by the industry.

Research Task

Based on the acquired major knowledge, students select topics related to AI convergence education and draw up a dissertation. The dissertation review committee shall consist of at least three experts in the relevant field, including an academic advisor.