For more details on the courses, please refer to the Course Catalog
Code | Course Title | Credit | Learning Time | Division | Degree | Grade | Note | Language | Availability |
---|---|---|---|---|---|---|---|---|---|
COG5034 | Understanding of software design | 3 | 6 | Major | Master/Doctor | Computer Science Education | - | No | |
In this lecture, we learn advanced programming techniques using object-oriented and generalized programming languages so that they can be applied to practical and educational sites. Understand and utilize the basic concepts of object-oriented language, objects, classes, polymorphisms, inheritance, etc., and cultivate the ability to solve problems using object-oriented language. We also learn how to design software that operates in various environments through generalized programming techniques. | |||||||||
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. | |||||||||
DAI5013 | Advanced Computer Vision | 3 | 6 | Major | Master/Doctor | 1-8 | Applied Artificial Intelligence | Korean | Yes |
Computer vision is one of the fastest developing fields of artificial intelligence in recent years, and its purpose is to acquire, process, analyze, and understand starting information such as photographs and videos recording the three-dimensional world. In this course, students learn basic concepts and methodologies related to undergraduate computer vision and their applications. Topics covered in this course include image processing and segmentation, feature point detection, optics, image tracking, camera model, 3D reconstruction, and recognition and detection of people and objects. | |||||||||
DAI5015 | Theories of Convergence Information | 3 | 6 | Major | Master/Doctor | 1-4 | Applied Artificial Intelligence | English | Yes |
To study deep into digital content, an accurate understanding of “Digital Information” which is the basic unit of digital content is necessary. This course is an introductory course on digital information. This course will introduce various characteristics of digital information, and investigate it in terms of pricing information, digital intellectual property, and so on. | |||||||||
DAI5017 | Data Science Computing | 3 | 6 | Major | Master/Doctor | 1-8 | Applied Artificial Intelligence | Korean | Yes |
For graduate students who are not majored in data science, artificial intelligence, this course provides the basic concepts of Python, a programming language for utilizing data science and artificial intelligence, and foster the ability to carry out package and visualization for utilizing artificial intelligence and big data, as well as actual data analysis and applications. | |||||||||
DAI5025 | Multimodal Learning | 3 | 6 | Major | Master/Doctor | 1-4 | Applied Artificial Intelligence | Korean | Yes |
Multimodal learning is a field that deals with techniques for integrating and learning from various modalities (images, text, audio, etc.). This course introduces the fundamental concepts and latest research in multimodal learning, aiming to develop students' ability to effectively analyze and utilize multimodal data. Through this course, students will learn multimodal data processing techniques, multimodal learning methodologies, and methods for designing multimodal models. | |||||||||
DIM5001 | Immersive Video Processing | 3 | 6 | Major | Master/Doctor | 1-4 | Korean | Yes | |
This course introduces the fundamental knowledge of the structure of digital image, encoding and decoding technologies. It also provides the details of discrete cosine transform(DCT), quantization, entropy coding, encoder architecture for video sequence, and intra/inter-picture coding. | |||||||||
DIM5002 | Metaverse Bigdata Analytics | 3 | 6 | Major | Master/Doctor | - | No | ||
This course deals with collection, analysis, prediction, and implication retrieval from diverse metaverse data. Basics in data analytics, examining extant studies on metaverse analysis, designing a new study could be included for this course. | |||||||||
DIM5003 | Immersive Media Seminar 1 | 2 | 4 | Major | Master/Doctor | 1-4 | Korean | Yes | |
This course provides core and application technologies of immersive media processing, and discussion will be conducted. Investigation and presentation of state-of-the-art immersive media technologies will be contducted such as video processing, graphics, artificial intelligence (AI), platform, interaction, culture contents, transmedia, digital human & therapeutics, NFT, and XR studio. | |||||||||
DIM5004 | Interactive Graph Mining | 3 | 6 | Major | Master/Doctor | 1-4 | Korean | Yes | |
Graph is a structure that can represent diverse relations and interactions. Social networks, Internet, and power grids can be examples of graphs. In this lecture, we will first learn how to model and analyze graphs with various real-world applications. We also will learn about graph machine learning algorithms. We will discuss recent applications on graph mining and learning. | |||||||||
DIM5005 | Realistic Media and Digital Human | 3 | 6 | Major | Master/Doctor | 1-4 | Korean | Yes | |
This course introduces a general understanding of digital human technology and knowledge of the latest trends in general. The reason why digital humans are considered a promising field is that they can communicate with users through non-verbal means of communication such as facial expressions by implementing a human-like appearance beyond simple communication through text. In the process of implementing this, artificial intelligence technology is essential for modeling and building interaction technology. Through this course, students can directly conceive and implement various AI processing technologies such as NLP and image deep learning. | |||||||||
DIM5006 | Immersive media content workshop | 3 | 6 | Major | Master/Doctor | 1-4 | - | No | |
This course provides a broad introduction to create immersive storytelling projects - Learn how to design environments, titles, and interactive elements for VR Storytelling. - Learn how to output VR-Art projects | |||||||||
DIM5007 | Introduction Artificial Intelligence | 3 | 6 | Major | Master/Doctor | 1-4 | Korean | Yes | |
This course aims to provide a comprehensive understanding of the fundamental concepts of artificial intelligence and the core theories of machine learning and deep learning. Students will explore how AI-based algorithms perform various types of inference using diverse data such as images, text, and audio. A key goal of this course is to enhance understanding of the latest AI trends and foster the ability to select the most appropriate algorithms based on different situations. In the practical sessions, students will develop and apply AI algorithms using Python, which is widely used across various fields. | |||||||||
DIM5008 | Unity Programming | 3 | 6 | Major | Master/Doctor | 1-4 | - | No | |
This course provides a comprehensive understanding of the C# programming language, which is the foundation of Unity. Students will learn to apply C# programming in Unity to create Metaverse. Designing a virtual environment requires both conceptual blueprints and a framework for implementation. Unity is an essential tool for constructing virtual environments beyond virtual reality, incorporating augmented reality, mixed reality, and other forms of virtuality. Through this course, students will learn the methodology for building virtual environments and design the architecture that underlies them using C# programming. | |||||||||
DIM5009 | Immersive Media International Standard | 3 | 6 | Major | Master/Doctor | 1-4 | - | No | |
This course introduces state-of-the-art international standards and technologies which provide video pre/post-processing, compression, and transmission for immersive media. MPEG immersive video (MIV, ISO/IEC 23090-12), six degrees of freedom (6DoF) video coding standard which is under ISO/IEC SC 29/WG 4 (MPEG Video Coding) is introduced. Video decoding interfaces (VDI, ISO/IEC 23090-13), decoder-level tile/subpicture-based bitstream processing standard which is under ISO/IEC SC 29/WG 3 (MPEG Systems) is also introduced. Recent activities and technologies are explained. Further, practices of using reference SW are also provided. |