For more details on the courses, please refer to the Course Catalog
| Code | Course Title | Credit | Learning Time | Division | Degree | Grade | Note | Language | Availability |
|---|---|---|---|---|---|---|---|---|---|
| ADS5018 | Application Data Analysis | 3 | 6 | Major | Master/Doctor | 1-8 | Korean | Yes | |
| This course introduces cases of data analysis. Students learn how to apply various data analysis method in case. Cases in this course is widespread problem from many domains but they have various and multiple personalities. This course, for these objective, experiences cases of analysis for objective to adjust the way to deal with problems in various condition and view. | |||||||||
| ADS5019 | Deep Learning | 3 | 6 | Major | Master/Doctor | 1-8 | Korean | Yes | |
| This course covers deep learning based on artificial neural network which is advanced on various industrial. This course, especially, give students basic understanding of modern neural networks and their applications in computer vision and natural language understanding. Students learn about Convolutional networks, RNNs, LSTM, Dropout and more. This course introduces the major technology trends driving Deep Learning. | |||||||||
| ADS5020 | Understanding Server Systems | 3 | 6 | Major | Master/Doctor | 1-8 | - | No | |
| Bigdata, which data scientists treat, is commonly stored in the distributed server systems. This course covers the architecture and configuration of the distributed server systems for solving problems which data scientists confront on dribbling data better than before. In this course, students practice building a web server for applying model or result from analysis for applications. | |||||||||
| ADS5021 | Advanced in Information Security | 3 | 6 | Major | Master/Doctor | 1-8 | - | No | |
| This course focuses on the fundamentals of information security that are used in protecting both the information present in computer storage as well as information traveling over computer networks. Interest in information security has been spurred by the pervasive use of computer-based applications such as information systems, databases, and the Internet. In this course, we will consider such topics as fundamentals of information security, computer security technology and principles, access control mechanisms, cryptography algorithms, software security, physical security, and security management and risk assessment. | |||||||||
| ADS5022 | Capstone Project | 3 | 6 | Major | Master/Doctor | 1-8 | Korean | Yes | |
| The purpose of the Capstone Project is for the students to apply theoretical knowledge acquired during the Data Science program to a project involving actual data in a realistic setting. This course runs a project to solve actual problems from industrial. Subject of the project is from specific domain in actual. During the project, students engage in the entire process of solving a real-world data science project, from collecting and processing actual data to applying suitable and appropriate analytic methods to the problem. Both the problem statements for the project assignments and the datasets originate from real-world domains. | |||||||||
| ADS5023 | Advanced in Business Intelligence | 3 | 6 | Major | Master/Doctor | 1-8 | - | No | |
| This course introduces data analysis and visualization for making better decision in business. This course covers basic statistics analysis and the edge of Bigdata analysis method. Students practice minding brand-new insight by using trendy analysis from complex data which is meaningless in traditional statistics. | |||||||||
| ADS5024 | Bigdata Case Study Ⅰ | 3 | 6 | Major | Master/Doctor | 1-8 | - | No | |
| This course discusses about case of Bigdata system maintenance, management, and application. Students refer to journal or article. By considering real-life problems confronted in the last few years, students refine their analytical, presentation, management and leadership skills. | |||||||||
| ADS5025 | Bigdata Case Study Ⅱ | 3 | 6 | Major | Master/Doctor | 1-8 | - | No | |
| This course discusses about case of Bigdata system maintenance, management, and application. Students refer to journal or article. By considering real-life problems confronted in the last few years, students refine their analytical, presentation, management and leadership skills. | |||||||||
| ADS5029 | Research | 3 | 6 | Major | Master/Doctor | - | No | ||
| In this subject, we will learn new concepts and research methods that are discussed in the field of Data Science that is rapidly developing by organizing, analyzing and discussing in detail the latest data related to Data Science. By selecting a professor and conducting research on a specific topic under the guidance, he/she learns experimental skills and approaches for exploring new facts in the process. Results obtained in this process are submitted to the graduation thesis at the end of the semester and the results are evaluated by the graduation thesis review committee. | |||||||||
| ADS5030 | Data Structure and Algorithm | 3 | 6 | Major | Master/Doctor | 1-4 | Korean | Yes | |
| In this course, we will take some knowledges of data structure such as link lists, stacks, queues, and trees. And we can also get some theories of basic algorithm such as sorting, searching, and graph theory. The students should be needed the prerequisite about basic programming knowledge. This course covers the most essential contents of data structure and algorithm, and aims to raise individual competence to learn self-intensively. | |||||||||
| ADS5031 | IT and Intellectual Property Right Protection | 3 | 6 | Major | Master/Doctor | Korean | Yes | ||
| As various types of technology such as information technology, data industry and software, advance rapidly and are utilized in almost every aspect of our lives, it becomes more and more important to understand the intellectual property rights in such technology which are protected by the operation of law or through contractual relationships. Only through proper understanding of the intellectual property rights, the rightful owner of the technology may transfer, share, utilize or manage its rights in a reasonable and profitable manner. Thus, in this subject, IT and Intellectual Property Right Protection, students will be introduced to basic intellectual property law issues and rationale behind them. Students will have chances to debate on intellectual property protection policy, to participate in mock trial for famous international disputes, and to practice negotiation and execution of technology agreements. Ultimately, this subject intends to help students to understand the principle of technology protection through intellectual property law, to recognize legal issues in various events in technology transaction and to be able to apply the obtained knowledge to their professions. | |||||||||
| ADS5032 | Data Science Applications | 3 | 6 | Major | Master/Doctor | 1-8 | - | No | |
| Learning how to apply Data Science in real applications is important. After understanding the fundamentals of Data Science, students will be introduced to various methods in applying data science in different domains or practical applications. Latest topics in Data Science will be introduced. | |||||||||
| ADS5033 | Media Content Analysis Method | 3 | 6 | Major | Master/Doctor | 1-8 | - | No | |
| The course deals with the way we analyze media contents, whose size is rapidly increased, that stimulates various human senses in a complex way. Media contents themselves sensitize or desensitize visual, auditory, olfactory, and haptic organs and embrace human communication and relationships, relationships among users and ‘things’, and relationships among things. Following these new trends, content analysis techniques should be diversified. The course should encompass relevant theories, methodologies, and real world cases of media content analysis. | |||||||||
| ADS5034 | Computer Vision | 3 | 6 | Major | Master/Doctor | 1-8 | Korean | Yes | |
| This course focuses in the study of theories for image analysis. The first part consists of Image formulation model, early processing, boundary detection, region growing and segmentation, motion detection, merging and introduction of morphology. The second part, we cover basic concepts of statistical model, dis- criminant function, decision boundary and rules and neural network for visual pattern recognition. | |||||||||
| ADS5035 | Data-drivenSecurityandPrivacy | 3 | 6 | Major | Master/Doctor | 1-8 | Korean | Yes | |
| This course is about the role of data and data analytics in security and privacy. This course focuses on applications of machine learning and big data analytics to various security and privacy problems, using various AI techniques to solve challenging security and privacy issues. | |||||||||