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Academics

홈

College of Digital Convergence

School of Applied Software

Major

  • Ai and Data Science Major
  • Applied Software Major
  • Media Convergence Major

Introduction

In the era of the Fourth Industrial Revolution, as new types of industries combining various services and technologies are created based on software, SW is now a core competitiveness for creating high added value in various industries such as finance, machinery, media, construction, medical, and defense.

It is developing into a society where understanding and knowledge of SW technology are essential. The educational goal of the Department of Software Applications is to train software application engineers with an international sensibility and humanistic knowledge to suit the software era. In addition, the Department of Software Applications seeks to foster experts in the software era by providing specialized and systematic education tailored to specific application fields, focusing on three majors: AI Data Science Major, Applied SW Major, and Media Convergence Major.

Job Fields

  • IT industry companies
  • Software application companies
  • SI company
  • Game company
  • Broadcasting and media convergence company

Faculty

Curriculum

School Of Applied Software
  • 1-1,2
    CurriculumThis table demonstrates the curriculum accroding to academic year.
    1- 1
    SEMINAR FOR ACADEMIC LIFE
    1. Summary of the course This course is to assist university freshmen in CRM designing to adapt university life well through the instruction and counselling of supervising professor. (This course is composed of self analysis, personality type test, career research, instruction for the success of university life, career plan and direction setting, CRM designing method and CRM designing. The course should be teaching in classes of the students by supervising professor.) 2. Course objectives This course is to motivate the students before the mid term exam and provide students with self analysis, personality type test (MBTI or TCI) and career research (YAT test). Also, this course shall has a plan to instruct the students to enhance the efficiency of university life through career and time management. In addition, this course is to make a chance for the students to have practical assistance to university life by providing study method, report designing strategy and the information on academic system and various kinds of internal programs of the university. After the mid term exam, the students will be instructed to set the direction of career designing through continuous counselling of supervising professor and the students will be able to establish CRM designing and execution plan.
    1- 1,2
    SOCIAL CONTRIBUTION AND SERVICE
    This course is to cultivate community sense as members of society and the global village for students in order to develop the basic knowledge required as global citizens. Especially, this course is to foster the spirit of cooperation, sharing, service, and creativity and study the social contribution and leadership to solving the challenges the global community faces. As a liberal arts course, it is centered to nurture a leader having the global capability to contribute to community development through learning the knowledge and the case on the value & logic of social responsibility focused on environmental preservation, social contribution, and good governance(ESG). This course aims to foster a generous mind, learn knowledge and technology and build the capacity to contribute to building a society towards a safer and happier world through the study of theory and practice.
    1- 1,2
    SOFTWARE AND AI
    Software and AI (Artificial Intelligence) course aims to educate the basic concepts of software and computational thinking to use them in various applications. It allows students of various majors to experience the core technologies of the 4th industrial revolution, such as big data, machine learning, and AI. It also introduces various applications of AI so that students can easily apply these technologies to their field of study. This course classifies the lecture types into three categories, and adjust the lecture difficulty according to the student's academic ability.
Ai And Data Science Major
  • 2-1,2
    CurriculumThis table demonstrates the curriculum accroding to academic year.
    2- 1
    C++ PROGRAMMING
    This course aims to learn about C++ and object-oriented programming. Students taking this course will understand and gain the ability to develop development methods for areas that require high performance, such as Windows application development, large-scale game development, and parallel programming.
    2- 1
    UNDERSTANDING OPEN SOURCE SOFTWARE
    This course aims to provide students with knowledge and experience of open source software in order to develop a software workforce for the success of the Fourth Industrial Revolution. To achieve this, the course provides lectures on various open source software, libraries, and configuration management tools that are mainly used for software development in the real-world projects. Through this course, students will be able to understand the software development environment for open source software, and ultimately achieve better open source software development skills.
    2- 1
    MATHEMATICS FOR AI Ⅰ
    Matrix and determinant are one of the basic and powerful tools of the fields of A.I. This course provides elementary theories of solving a system of linear equations, elementary operations of real vectors, basic concepts of real matrix theory and real vector spaces and their applications.
    2- 1
    PROGRAMMING BASIC
    This course introduces students to the concepts and principles of programming for software development. You will understand the syntax, semantics and how to produce and debug good source code. You will acquire the programming skills to develop basic software.
    2- 2
    DATA ANALYSIS
    The Data Analysis course is a field of study that teaches methods for collecting, processing, analyzing, and interpreting data. This course integrates fundamental concepts from various disciplines, such as data science, statistics, and computer science, with the goal of developing students' ability to solve data-driven problems. Key topics include learning basic statistics, data collection, and preprocessing, as well as programming languages commonly used in data analysis, such as Python and R. Students will learn how to write code for data manipulation and visualization. Additionally, the course covers how to use various visualization tools to represent data visually and derive insights. It also explores foundational machine learning algorithms, including supervised learning, unsupervised learning, clustering, and regression analysis, along with their applications. Learning Objectives: - Develop the ability to define problems based on data and make data-driven decisions. - Gain hands-on experience with various data analysis tools and methodologies, applying them to real-world cases. - Enhance the ability to visualize complex data and effectively communicate analysis results in an understandable manner.
    2- 2
    COMPUTER ARCHITECTURES
    This course deals with the organization, operating principles and design methodology of computer system. Detailed issues are as following: performance, instruction set, control and microprogramming, pipelining techniques, integer and floating point number arithmetic, memory subsystem, input/output subsystem, and advanced computer architectures. Through this course, you will learn about the various processors that go into large server systems from smartphones, and develop the ability to design or program them.
    2- 2
    JAVA PROGRAMMING
    This course covers the Java syntax and programmingt techniques including basic structure of Java program, object-oriented programming, inheritance, and polymorphism. It also addresses practical topics such as Swing-based GUI programming, threads, JDBC-based databases, and Spring-based microservices.
    2- 2
    WEB PROGRAMMING Ⅰ
    This course covers the fundamental knowledge required for web programming on the internet. It includes an overview of web programming and development environments, as well as front-end technologies such as HTML5, CSS, JavaScript, and jQuery. Students will conduct website development project so as to improve their practical skills and knowledge.
  • 3-1,2
    CurriculumThis table demonstrates the curriculum accroding to academic year.
    3- 1
    EMBEDDED SYSTEM (ARDUINO)
    This course studies the components and internal structure of a microprocessor, basic operating principles, memory, input/output interface, commands, addressing, etc., and understands the principles of how software runs on a microprocessor and how to write efficient software. .
    3- 1
    DATA STRUCTURES
    Algorithms and data structures are the two most important elements that make up a computer program. In this lecture, we will introduce several ways to express algorithms and explain how to analyze the complexity of a given algorithm in terms of space complexity and time complexity. In addition, we will learn the basic concepts of several data structures (Array, Stack, Queue, List, Tree, Graph) and algorithms (Sorting, Searching) that are most commonly used to date. Finally, we will perform various programming assignments to apply the concepts learned in class to actual programming.
    3- 1
    INTERNSHIP COURSE (SOFTWARE APPLICATION)
    The internship course provides students with an opportunity to apply the theories and skills they have learned in a real work environment. This course typically involves gaining hands-on experience at companies, research institutes, or other organizations over a certain period. Through the internship, students engage in actual work related to their field of study, enhancing their practical skills and broadening their understanding of the professional world. The internship course plays a crucial role in helping students integrate academic knowledge with real-world experience, preparing them to become job-ready professionals upon graduation. Learning Objectives: - Apply theoretical knowledge to real-world situations and gain practical experience. - Acquire practical skills and knowledge related to the field of study, enhancing professional competence. - Increase understanding of career paths through diverse workplace experiences and gain insights that assist in future career choices. - Develop workplace ethics and soft skills such as teamwork, communication, and problem-solving, which are essential in a professional environment.
    3- 1
    MACHINE LEARNING
    This course aims to provide a comprehensive study of various topics in machine learning, ranging from traditional methodologies to state-of-the-art techniques. Students will be able to understand the basic concepts and related knowledge of various techniques and be able to code them to solve real-world problems.
    3- 1
    OPERATING SYSTEM
    This course deals with the important algorithms and theories of operating systems with the view point of the operating systems architecture. Major topics include process management, memory management, peripheral devices management, networking, and security.
    3- 2
    COMPUTER ALGORITHM
    This lecture is a follow-up course on data structures, and introduces sorting algorithms, tree-based search structures, symbol table construction using hashing, and various algorithms required for string processing. In addition, it explains algorithm design methodologies used when developing new algorithms, such as divide-and-conquer, dynamic programming, and greedy methods. Finally, various programming assignments are performed to apply the concepts learned in class to actual programming.
    3- 2
    DATABASE MANAGEMENT SYSTEMS
    In the file-based data processing environment, it is difficult to efficiently manage large amounts of data due to data dependency and data duplication. To this end, the concept of a database that supports users with a higher-level data model has emerged. This lecture explains various data models, how to use the most commonly used relational database, and its operation process. Specifically, it explains core database concepts such as the SQL language and database application development using SQL, the database design process, and query processing and transaction processing, and also includes practical use of commercial databases using MySQL DBMS. It also includes lectures on advanced database topics such as data mining and big data processing.
    3- 2
    AI MANAGEMENT STRATEGY
    This course covers the various core knowledge for effective and efficient AI management strategy formulation and implementation. In details, students learn the core knowledge necessary for effective and efficient AI management strategy formulation and implementation in this course as follows: ➀ The concept and need of AI management strategy ➁ How to formulate AI management strategy ➂ How to implement AI management strategy ➃ How to apply AI to the formulation and implementation of AI management strategy
    3- 2
    DEEP LEARNING
    This course covers the basic knowledge related to deep learning, the core algorithm of artificial intelligence. It covers the principles of neural networks, which are the basis of deep learning, the learning principles of deep learning, and various models for deep learning. To this end, it covers the principles of various deep learning models such as DNN and CNN, RNN, and LSTM based on it, as well as application systems using them. In addition, it introduces the latest advanced deep learning algorithms and analyzes various cases where deep learning was applied and solved in reality.
    3- 2
    MATHEMATICS FOR AI Ⅱ
    Application of probability is playing an ever increasing role in developing algorithms in A.I. In this course following topics will be treated; probability, probability distribution, conditional probability, Bayes Theorem.
  • 4-1,2
    CurriculumThis table demonstrates the curriculum accroding to academic year.
    4- 1
    BIG DATA APPLICATION
    【영문】 This course covers the core knowledge necessary for the applications of big data. Specifically, students learn the following core knowledge related to the applications of big data in this course: ➀ Core theories necessary for the applications of big data ➁ Data preprocessing essential for the applications of big data ➂ Analysis methods related to the applications of big data ➃ Methods of interpretation about the results from the applications of big data
    4- 1
    FINANCIAL DATA ANALYSIS AND INVESTMENT STRATEGIES
    The subject deals with collecting and analyzing various data generated in financial markets for purposes such as investment, asset pricing determination, and risk management. It particularly focuses on learning methods using tools such as Python-Pandas, SAS, Generative AI, etc. Students learn how to analyze and predict economic indicators, corporate performance, etc., utilizing data from stock, bond, and foreign exchange markets. Through this, students acquire the necessary skills and knowledge to understand market trends and formulate efficient investment and risk management strategies.
    4- 1
    THE CONVERGENCE CAPSTONE DESIGN PROJECT (1)
    The Convergence Capstone Design Project course is an educational program that involves integrating knowledge and skills from various fields to design and implement practical projects. This course is designed to develop students' ability to apply the theories and skills they have learned to solve real-world problems. It plays a crucial role in helping students combine academic knowledge with practical experience to effectively address real-world issues. Students work in teams to define real-world problems and design projects aimed at solving these problems. They plan the project's objectives, requirements, and schedule, and proceed with the project based on this plan. Additionally, they develop prototypes or proofs of concept for their designed projects, implementing their ideas in practice. They also address issues that arise during the development process and refine their prototypes. Learning Objectives: - Develop the ability to solve complex problems by integrating knowledge and skills from various disciplines. - Apply theoretical concepts to practical situations through real-world projects and gain hands-on experience. - Enhance collaboration and communication skills by working on projects in teams. - Improve project management and execution abilities by experiencing the full process of project planning, implementation, and evaluation.
    4- 2
    NATURAL LANGUAGE PROCESSING
    This course aims to understand and utilize the concepts of natural language processing, and study deep learning algorithms and utilize them in applied cases across diverse fields.
    4- 2
    RE-INGERCEMENT LEARNING
    As re-inforcement learning used in Alphago to win Sedol Lee in go game is well-known machine learning model, this course will explain the basic concept of re-inforcement learning and introduces several cases. In this course, versatile re-inforcement learning schemes used in computer game are covered additionally.
    4- 2
    THE CONVERGENCE CAPSTONE DESIGN PROJECT (2)
    The Convergence Capstone Design Project course is an educational program that involves integrating knowledge and skills from various fields to design and implement practical projects. This course is designed to develop students' ability to apply the theories and skills they have learned to solve real-world problems. It plays a crucial role in helping students combine academic knowledge with practical experience to effectively address real-world issues. Students work in teams to define real-world problems and design projects aimed at solving these problems. They plan the project's objectives, requirements, and schedule, and proceed with the project based on this plan. Additionally, they develop prototypes or proofs of concept for their designed projects, implementing their ideas in practice. They also address issues that arise during the development process and refine their prototypes. Learning Objectives: - Develop the ability to solve complex problems by integrating knowledge and skills from various disciplines. - Apply theoretical concepts to practical situations through real-world projects and gain hands-on experience. - Enhance collaboration and communication skills by working on projects in teams. - Improve project management and execution abilities by experiencing the full process of project planning, implementation, and evaluation.
    4- 1,2
    INTERNSHIP COURSE (SOFTWARE APPLICATION)
    The internship course provides students with an opportunity to apply the theories and skills they have learned in a real work environment. This course typically involves gaining hands-on experience at companies, research institutes, or other organizations over a certain period. Through the internship, students engage in actual work related to their field of study, enhancing their practical skills and broadening their understanding of the professional world. The internship course plays a crucial role in helping students integrate academic knowledge with real-world experience, preparing them to become job-ready professionals upon graduation. Learning Objectives: - Apply theoretical knowledge to real-world situations and gain practical experience. - Acquire practical skills and knowledge related to the field of study, enhancing professional competence. - Increase understanding of career paths through diverse workplace experiences and gain insights that assist in future career choices. - Develop workplace ethics and soft skills such as teamwork, communication, and problem-solving, which are essential in a professional environment.
Applied Software Major
  • 2-1,2
    CurriculumThis table demonstrates the curriculum accroding to academic year.
    2- 1
    C++ PROGRAMMING
    This course aims to learn about C++ and object-oriented programming. Students taking this course will understand and gain the ability to develop development methods for areas that require high performance, such as Windows application development, large-scale game development, and parallel programming.
    2- 1
    UNDERSTANDING OPEN SOURCE SOFTWARE
    This course aims to provide students with knowledge and experience of open source software in order to develop a software workforce for the success of the Fourth Industrial Revolution. To achieve this, the course provides lectures on various open source software, libraries, and configuration management tools that are mainly used for software development in the real-world projects. Through this course, students will be able to understand the software development environment for open source software, and ultimately achieve better open source software development skills.
    2- 1
    MATHEMATICS FOR AI Ⅰ
    Matrix and determinant are one of the basic and powerful tools of the fields of A.I. This course provides elementary theories of solving a system of linear equations, elementary operations of real vectors, basic concepts of real matrix theory and real vector spaces and their applications.
    2- 1
    PROGRAMMING BASIC
    This course introduces students to the concepts and principles of programming for software development. You will understand the syntax, semantics and how to produce and debug good source code. You will acquire the programming skills to develop basic software.
    2- 2
    DATA ANALYSIS
    The Data Analysis course is a field of study that teaches methods for collecting, processing, analyzing, and interpreting data. This course integrates fundamental concepts from various disciplines, such as data science, statistics, and computer science, with the goal of developing students' ability to solve data-driven problems. Key topics include learning basic statistics, data collection, and preprocessing, as well as programming languages commonly used in data analysis, such as Python and R. Students will learn how to write code for data manipulation and visualization. Additionally, the course covers how to use various visualization tools to represent data visually and derive insights. It also explores foundational machine learning algorithms, including supervised learning, unsupervised learning, clustering, and regression analysis, along with their applications. Learning Objectives: - Develop the ability to define problems based on data and make data-driven decisions. - Gain hands-on experience with various data analysis tools and methodologies, applying them to real-world cases. - Enhance the ability to visualize complex data and effectively communicate analysis results in an understandable manner.
    2- 2
    COMPUTER ARCHITECTURES
    This course deals with the organization, operating principles and design methodology of computer system. Detailed issues are as following: performance, instruction set, control and microprogramming, pipelining techniques, integer and floating point number arithmetic, memory subsystem, input/output subsystem, and advanced computer architectures. Through this course, you will learn about the various processors that go into large server systems from smartphones, and develop the ability to design or program them.
    2- 2
    JAVA PROGRAMMING
    This course covers the Java syntax and programmingt techniques including basic structure of Java program, object-oriented programming, inheritance, and polymorphism. It also addresses practical topics such as Swing-based GUI programming, threads, JDBC-based databases, and Spring-based microservices.
    2- 2
    WEB PROGRAMMING Ⅰ
    This course covers the fundamental knowledge required for web programming on the internet. It includes an overview of web programming and development environments, as well as front-end technologies such as HTML5, CSS, JavaScript, and jQuery. Students will conduct website development project so as to improve their practical skills and knowledge.
  • 3-1,2
    CurriculumThis table demonstrates the curriculum accroding to academic year.
    3- 1
    EMBEDDED SYSTEM (ARDUINO)
    This course studies the components and internal structure of a microprocessor, basic operating principles, memory, input/output interface, commands, addressing, etc., and understands the principles of how software runs on a microprocessor and how to write efficient software. .
    3- 1
    DATA STRUCTURES
    Algorithms and data structures are the two most important elements that make up a computer program. In this lecture, we will introduce several ways to express algorithms and explain how to analyze the complexity of a given algorithm in terms of space complexity and time complexity. In addition, we will learn the basic concepts of several data structures (Array, Stack, Queue, List, Tree, Graph) and algorithms (Sorting, Searching) that are most commonly used to date. Finally, we will perform various programming assignments to apply the concepts learned in class to actual programming.
    3- 1
    INTERNSHIP COURSE (SOFTWARE APPLICATION)
    The internship course provides students with an opportunity to apply the theories and skills they have learned in a real work environment. This course typically involves gaining hands-on experience at companies, research institutes, or other organizations over a certain period. Through the internship, students engage in actual work related to their field of study, enhancing their practical skills and broadening their understanding of the professional world. The internship course plays a crucial role in helping students integrate academic knowledge with real-world experience, preparing them to become job-ready professionals upon graduation. Learning Objectives: - Apply theoretical knowledge to real-world situations and gain practical experience. - Acquire practical skills and knowledge related to the field of study, enhancing professional competence. - Increase understanding of career paths through diverse workplace experiences and gain insights that assist in future career choices. - Develop workplace ethics and soft skills such as teamwork, communication, and problem-solving, which are essential in a professional environment.
    3- 1
    MACHINE LEARNING
    This course aims to provide a comprehensive study of various topics in machine learning, ranging from traditional methodologies to state-of-the-art techniques. Students will be able to understand the basic concepts and related knowledge of various techniques and be able to code them to solve real-world problems.
    3- 1
    OPERATING SYSTEM
    This course deals with the important algorithms and theories of operating systems with the view point of the operating systems architecture. Major topics include process management, memory management, peripheral devices management, networking, and security.
    3- 2
    DEEP LEARNING
    This course covers the basic knowledge related to deep learning, the core algorithm of artificial intelligence. It covers the principles of neural networks, which are the basis of deep learning, the learning principles of deep learning, and various models for deep learning. To this end, it covers the principles of various deep learning models such as DNN and CNN, RNN, and LSTM based on it, as well as application systems using them. In addition, it introduces the latest advanced deep learning algorithms and analyzes various cases where deep learning was applied and solved in reality.
    3- 2
    GAME PROGRAMMING Ⅰ
    Learn the most basic programming techniques for game production using game engines (Unreal Engine, etc.). After learning how to use the game engine, the ability to produce game programs in the future is cultivated by designing and producing basic games.
    3- 2
    COMPUTER ALGORITHM
    This lecture is a follow-up course on data structures, and introduces sorting algorithms, tree-based search structures, symbol table construction using hashing, and various algorithms required for string processing. In addition, it explains algorithm design methodologies used when developing new algorithms, such as divide-and-conquer, dynamic programming, and greedy methods. Finally, various programming assignments are performed to apply the concepts learned in class to actual programming.
    3- 2
    DATABASE MANAGEMENT SYSTEMS
    In the file-based data processing environment, it is difficult to efficiently manage large amounts of data due to data dependency and data duplication. To this end, the concept of a database that supports users with a higher-level data model has emerged. This lecture explains various data models, how to use the most commonly used relational database, and its operation process. Specifically, it explains core database concepts such as the SQL language and database application development using SQL, the database design process, and query processing and transaction processing, and also includes practical use of commercial databases using MySQL DBMS. It also includes lectures on advanced database topics such as data mining and big data processing.
    3- 2
    SOFTWARE ENGINEERING
    In this course, we will learn the basic concepts of software engineering and the software engineering techniques that can be classified as 2 parts: the technical part (requirement elicitation, analysis, design, implementation, testing, and maintenance) and the managerial part (configuration management, software engineering management, process, tools and methodology, and quality). The discipline is particularly applicable to very large software projects, as well as the re-engineering of existing products.
  • 4-1,2
    CurriculumThis table demonstrates the curriculum accroding to academic year.
    4- 1
    BIG DATA APPLICATION
    This course covers the core knowledge necessary for the applications of big data. Specifically, students learn the following core knowledge related to the applications of big data in this course: ➀ Core theories necessary for the applications of big data ➁ Data preprocessing essential for the applications of big data ➂ Analysis methods related to the applications of big data ➃ Methods of interpretation about the results from the applications of big data
    4- 1
    DIGITAL AND IMAGINATION
    Digital and Imaginative covers how to write and manage digital content effectively and creatively. It covers ideation, visual and verbal expression, content planning and strategy, structuring writing and storytelling, problem solving, critical thinking, and more.
    4- 1
    UX/UI DESIGN Ⅰ
    The UX/UI design examines media content that is being applied to a variety of changing new media through UX(user experience) and, based on that, approaches currently being used as a concept of service design to explore direction for new media content.
    4- 1
    WEB PROGRAMMING Ⅱ
    This course covers advanced knowledge and practical skills for web programming on the internet. Students will learn modern front-end technologies such as React and Vue, and will conduct several website development projects based on these technologies so as to improve practical skills and knowledge.
    4- 1
    MOBILE PROGRAMMING
    This course aims to train professionals who can design, develop, and distribute Android apps. Students in this course will understand the concepts of Android apps, including Android Studio, and learn about the core components of Android, such as Activity, Intent, Service, and Broadcast receiver, and be able to develop apps using them.
    4- 1
    THE CONVERGENCE CAPSTONE DESIGN PROJECT (1)
    The Convergence Capstone Design Project course is an educational program that involves integrating knowledge and skills from various fields to design and implement practical projects. This course is designed to develop students' ability to apply the theories and skills they have learned to solve real-world problems. It plays a crucial role in helping students combine academic knowledge with practical experience to effectively address real-world issues. Students work in teams to define real-world problems and design projects aimed at solving these problems. They plan the project's objectives, requirements, and schedule, and proceed with the project based on this plan. Additionally, they develop prototypes or proofs of concept for their designed projects, implementing their ideas in practice. They also address issues that arise during the development process and refine their prototypes. Learning Objectives: - Develop the ability to solve complex problems by integrating knowledge and skills from various disciplines. - Apply theoretical concepts to practical situations through real-world projects and gain hands-on experience. - Enhance collaboration and communication skills by working on projects in teams. - Improve project management and execution abilities by experiencing the full process of project planning, implementation, and evaluation.
    4- 2
    DATA ANALYSIS AND VISUALIZATION
    Data plays a significant role in various fields of modern society, with its core function being to serve as information for making important decisions. While data-driven decision-making in the past relied on structured numbers and text, today, immediate insights can be gained through visualized analysis results. In this course, various visualization techniques that can analyze both structured big data and unstructured text data and explain the analyzed results will be presented. Through this course, students will learn the basic principles of visualization, methods for data collection and structuring, and techniques for visualizing structured data and unstructured text data using tools such as Gephi, Tableau, and Python.
    4- 2
    DEVELOPING PROFICIENCY IN GEOGRAPHIC INFORMATION SYSTEM (GIS)
    Geographic Information System (GIS) is an essential tool for collecting, analyzing, managing, and visualizing spatial data, playing a crucial role in various industries. This course focuses on deeply understanding the principles and applications of GIS, and on developing the ability to apply this knowledge to various real-world scenarios. Students will learn to collect and process spatial data, utilize GIS software tools (such as QGIS and ArcGIS) for analysis, and undertake various projects. Additionally, the course will cover both the theoretical foundations and practical techniques of GIS, equipping students with the ability to visualize spatial data effectively.
    4- 2
    WEB FRAMEWORK
    This course covers Java back-end technologies. It starts with learning JSP and Servlets, and then moves on to Spring, MyBatis, and Spring Boot. Additionally, students will enhance their practical skills through various projects using these technologies.
    4- 2
    THE CONVERGENCE CAPSTONE DESIGN PROJECT (2)
    The Convergence Capstone Design Project course is an educational program that involves integrating knowledge and skills from various fields to design and implement practical projects. This course is designed to develop students' ability to apply the theories and skills they have learned to solve real-world problems. It plays a crucial role in helping students combine academic knowledge with practical experience to effectively address real-world issues. Students work in teams to define real-world problems and design projects aimed at solving these problems. They plan the project's objectives, requirements, and schedule, and proceed with the project based on this plan. Additionally, they develop prototypes or proofs of concept for their designed projects, implementing their ideas in practice. They also address issues that arise during the development process and refine their prototypes. Learning Objectives: - Develop the ability to solve complex problems by integrating knowledge and skills from various disciplines. - Apply theoretical concepts to practical situations through real-world projects and gain hands-on experience. - Enhance collaboration and communication skills by working on projects in teams. - Improve project management and execution abilities by experiencing the full process of project planning, implementation, and evaluation.
    4- 1,2
    INTERNSHIP COURSE (SOFTWARE APPLICATION)
    The internship course provides students with an opportunity to apply the theories and skills they have learned in a real work environment. This course typically involves gaining hands-on experience at companies, research institutes, or other organizations over a certain period. Through the internship, students engage in actual work related to their field of study, enhancing their practical skills and broadening their understanding of the professional world. The internship course plays a crucial role in helping students integrate academic knowledge with real-world experience, preparing them to become job-ready professionals upon graduation. Learning Objectives: - Apply theoretical knowledge to real-world situations and gain practical experience. - Acquire practical skills and knowledge related to the field of study, enhancing professional competence. - Increase understanding of career paths through diverse workplace experiences and gain insights that assist in future career choices. - Develop workplace ethics and soft skills such as teamwork, communication, and problem-solving, which are essential in a professional environment.
Media Convergence Major
  • 2-1,2
    CurriculumThis table demonstrates the curriculum accroding to academic year.
    2- 1
    C++ PROGRAMMING
    This course aims to learn about C++ and object-oriented programming. Students taking this course will understand and gain the ability to develop development methods for areas that require high performance, such as Windows application development, large-scale game development, and parallel programming.
    2- 1
    UNDERSTANDING OPEN SOURCE SOFTWARE
    This course aims to provide students with knowledge and experience of open source software in order to develop a software workforce for the success of the Fourth Industrial Revolution. To achieve this, the course provides lectures on various open source software, libraries, and configuration management tools that are mainly used for software development in the real-world projects. Through this course, students will be able to understand the software development environment for open source software, and ultimately achieve better open source software development skills.
    2- 1
    MATHEMATICS FOR AI Ⅰ
    Matrix and determinant are one of the basic and powerful tools of the fields of A.I. This course provides elementary theories of solving a system of linear equations, elementary operations of real vectors, basic concepts of real matrix theory and real vector spaces and their applications.
    2- 1
    PROGRAMMING BASIC
    This course introduces students to the concepts and principles of programming for software development. You will understand the syntax, semantics and how to produce and debug good source code. You will acquire the programming skills to develop basic software.
    2- 2
    DATA ANALYSIS
    The Data Analysis course is a field of study that teaches methods for collecting, processing, analyzing, and interpreting data. This course integrates fundamental concepts from various disciplines, such as data science, statistics, and computer science, with the goal of developing students' ability to solve data-driven problems. Key topics include learning basic statistics, data collection, and preprocessing, as well as programming languages commonly used in data analysis, such as Python and R. Students will learn how to write code for data manipulation and visualization. Additionally, the course covers how to use various visualization tools to represent data visually and derive insights. It also explores foundational machine learning algorithms, including supervised learning, unsupervised learning, clustering, and regression analysis, along with their applications. Learning Objectives: - Develop the ability to define problems based on data and make data-driven decisions. - Gain hands-on experience with various data analysis tools and methodologies, applying them to real-world cases. - Enhance the ability to visualize complex data and effectively communicate analysis results in an understandable manner.
    2- 2
    COMPUTER ARCHITECTURES
    This course deals with the organization, operating principles and design methodology of computer system. Detailed issues are as following: performance, instruction set, control and microprogramming, pipelining techniques, integer and floating point number arithmetic, memory subsystem, input/output subsystem, and advanced computer architectures. Through this course, you will learn about the various processors that go into large server systems from smartphones, and develop the ability to design or program them.
    2- 2
    JAVA PROGRAMMING
    This course covers the Java syntax and programmingt techniques including basic structure of Java program, object-oriented programming, inheritance, and polymorphism. It also addresses practical topics such as Swing-based GUI programming, threads, JDBC-based databases, and Spring-based microservices.
    2- 2
    WEB PROGRAMMING Ⅰ
    This course covers the fundamental knowledge required for web programming on the internet. It includes an overview of web programming and development environments, as well as front-end technologies such as HTML5, CSS, JavaScript, and jQuery. Students will conduct website development project so as to improve their practical skills and knowledge.
  • 3-1,2
    CurriculumThis table demonstrates the curriculum accroding to academic year.
    3- 1
    EMBEDDED SYSTEM (ARDUINO)
    This course studies the components and internal structure of a microprocessor, basic operating principles, memory, input/output interface, commands, addressing, etc., and understands the principles of how software runs on a microprocessor and how to write efficient software. .
    3- 1
    DATA STRUCTURES
    Algorithms and data structures are the two most important elements that make up a computer program. In this lecture, we will introduce several ways to express algorithms and explain how to analyze the complexity of a given algorithm in terms of space complexity and time complexity. In addition, we will learn the basic concepts of several data structures (Array, Stack, Queue, List, Tree, Graph) and algorithms (Sorting, Searching) that are most commonly used to date. Finally, we will perform various programming assignments to apply the concepts learned in class to actual programming.
    3- 1
    INTERNSHIP COURSE (SOFTWARE APPLICATION)
    The internship course provides students with an opportunity to apply the theories and skills they have learned in a real work environment. This course typically involves gaining hands-on experience at companies, research institutes, or other organizations over a certain period. Through the internship, students engage in actual work related to their field of study, enhancing their practical skills and broadening their understanding of the professional world. The internship course plays a crucial role in helping students integrate academic knowledge with real-world experience, preparing them to become job-ready professionals upon graduation. Learning Objectives: - Apply theoretical knowledge to real-world situations and gain practical experience. - Acquire practical skills and knowledge related to the field of study, enhancing professional competence. - Increase understanding of career paths through diverse workplace experiences and gain insights that assist in future career choices. - Develop workplace ethics and soft skills such as teamwork, communication, and problem-solving, which are essential in a professional environment.
    3- 1
    MACHINE LEARNING
    This course aims to provide a comprehensive study of various topics in machine learning, ranging from traditional methodologies to state-of-the-art techniques. Students will be able to understand the basic concepts and related knowledge of various techniques and be able to code them to solve real-world problems.
    3- 1
    OPERATING SYSTEM
    This course deals with the important algorithms and theories of operating systems with the view point of the operating systems architecture. Major topics include process management, memory management, peripheral devices management, networking, and security.
    3- 2
    VISUALIZE DATA
    This course focuses on learning data visualization techniques to effectively communicate the results of data analysis. Students will utilize the visualization tool Tableau to implement data visualizations, with a project-based approach applicable to real-world scenarios. Building on data analysis skills acquired through SQL in previous courses, students will learn how to visually represent data and extract insights.
    3- 2
    GAME PROGRAMMING Ⅰ
    Learn the most basic programming techniques for game production using game engines (Unreal Engine, etc.). After learning how to use the game engine, the ability to produce game programs in the future is cultivated by designing and producing basic games.
    3- 2
    PRODUCTION OF DIGITAL MEDIA
    This course focuses on learning the core techniques of digital media production. Students will utilize Touch Designer software to create 2D and 3D visuals, and learn methods to implement interaction and real-time control features. Throughout the course, students will develop the skills to plan, design, and execute digital media projects.
  • 4-1,2
    CurriculumThis table demonstrates the curriculum accroding to academic year.
    4- 1
    GAME PROGRAMMING Ⅱ
    Based on the design of the planned game development, the programming technique based on the practical use of game engines (unreal engines, etc.) for practical game development is learned. Through practical project training using game engines, they learn essential utilization techniques in the process of planning, production, and service of game contents.
    4- 1
    INTERACTION MEDIA CONTENT (PHYSICAL COMPUTING)
    This course focuses on the creation of various interactive media content centered around physical computing, grounded in the theories of "interaction" and "media." Students will learn how to plan and actually produce interactive media content. The course involves using Arduino to control various sensors, LEDs, and motors, with the aim of expanding sensory experiences and creating media content tailored to different projects.
    4- 1
    INTRODUCTION TO METAVERSE PROGRAMMING
    Learn graphic and software techniques for the development of virtual, augmented, and mixed reality software for metaverse service configuration. Understand the concept of the main metaverse that is emerging recently and what application service systems use it. Based on this, learn the basic use and practical implementation methods of various programs to implement metaverse services.
    4- 1
    THE CONVERGENCE CAPSTONE DESIGN PROJECT (1)
    The Convergence Capstone Design Project course is an educational program that involves integrating knowledge and skills from various fields to design and implement practical projects. This course is designed to develop students' ability to apply the theories and skills they have learned to solve real-world problems. It plays a crucial role in helping students combine academic knowledge with practical experience to effectively address real-world issues. Students work in teams to define real-world problems and design projects aimed at solving these problems. They plan the project's objectives, requirements, and schedule, and proceed with the project based on this plan. Additionally, they develop prototypes or proofs of concept for their designed projects, implementing their ideas in practice. They also address issues that arise during the development process and refine their prototypes. Learning Objectives: - Develop the ability to solve complex problems by integrating knowledge and skills from various disciplines. - Apply theoretical concepts to practical situations through real-world projects and gain hands-on experience. - Enhance collaboration and communication skills by working on projects in teams. - Improve project management and execution abilities by experiencing the full process of project planning, implementation, and evaluation.
    4- 1
    UX/UI DESIGN Ⅰ
    The UX/UI design examines media content that is being applied to a variety of changing new media through UX(user experience) and, based on that, approaches currently being used as a concept of service design to explore direction for new media content.
    4- 2
    GAME PLANNING & PRODUCTION
    Learn the roles and necessary skills that the planner must play in the overall process of game production. Understand the overall process of game development and cultivate the competencies and collaboration skills necessary as a planner. The composition of learning contents is the process of preparing a game plan, game design, game system composition, UI/UX design, game flow design, game balancing, storytelling, and game content production. Based on what they have learned through lectures, students develop collaboration skills and problem-solving skills during the project period by carrying out actual game production projects. Develop practical experience and employment skills through lectures or mentoring by experts in various game development sites.
    4- 2
    SPACE EXPERIENCE CONTENT
    This course focuses on learning the entire process of producing spatial experience content. Building on the skills acquired in the Digital Media Production course from the second semester of the third year, students will use Touch Designer to employ projection mapping techniques and 3D depth cameras to track spatial depth and human movement. The course covers everything from topic selection and idea development to prototype creation, allowing students to enhance their practical skills through real-world projects.
    4- 2
    UX/UI DESIGN Ⅱ
    UX/UI design analyzes media contents that are applied to new media in changing cultural life through UX-user experience, and plans interactive content in cultural convergence service areas that can be proposed by users so that it can be applied in practice, so that the concept and indirect experience of media content can be applied in practice. In addition, cultural thinking and converged thinking based on ICT technologies will be fostered, and based on this, they will be able to apply them to actual proposed projects.
    4- 2
    THE CONVERGENCE CAPSTONE DESIGN PROJECT (2)
    The Convergence Capstone Design Project course is an educational program that involves integrating knowledge and skills from various fields to design and implement practical projects. This course is designed to develop students' ability to apply the theories and skills they have learned to solve real-world problems. It plays a crucial role in helping students combine academic knowledge with practical experience to effectively address real-world issues. Students work in teams to define real-world problems and design projects aimed at solving these problems. They plan the project's objectives, requirements, and schedule, and proceed with the project based on this plan. Additionally, they develop prototypes or proofs of concept for their designed projects, implementing their ideas in practice. They also address issues that arise during the development process and refine their prototypes. Learning Objectives: - Develop the ability to solve complex problems by integrating knowledge and skills from various disciplines. - Apply theoretical concepts to practical situations through real-world projects and gain hands-on experience. - Enhance collaboration and communication skills by working on projects in teams. - Improve project management and execution abilities by experiencing the full process of project planning, implementation, and evaluation.
    4- 1,2
    INTERNSHIP COURSE (SOFTWARE APPLICATION)
    The internship course provides students with an opportunity to apply the theories and skills they have learned in a real work environment. This course typically involves gaining hands-on experience at companies, research institutes, or other organizations over a certain period. Through the internship, students engage in actual work related to their field of study, enhancing their practical skills and broadening their understanding of the professional world. The internship course plays a crucial role in helping students integrate academic knowledge with real-world experience, preparing them to become job-ready professionals upon graduation. Learning Objectives: - Apply theoretical knowledge to real-world situations and gain practical experience. - Acquire practical skills and knowledge related to the field of study, enhancing professional competence. - Increase understanding of career paths through diverse workplace experiences and gain insights that assist in future career choices. - Develop workplace ethics and soft skills such as teamwork, communication, and problem-solving, which are essential in a professional environment.

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