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AI Concentration Major Program
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general
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https://computing.yonsei.ac.kr/eng/eng3_1.php
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AI Concentration Major Program

Source: https://computing.yonsei.ac.kr/eng/eng3_1.php Parent: https://computing.yonsei.ac.kr:443/eng/

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School of Computing

Department of Computer Science and Engineering Department of Artificial Intelligence Department of Artificial Intelligence Systems

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Department of Computer Science and Engineering Department of Artificial Intelligence School of Integrated Technology Digital Analytics Convergence Cooperation Course Department of Mobility Systems Engineering Department of Intelligence Convergence

Convergence Program

AI Concentration Major Program

A Micro-Major Program

A Micro-Major Program Majoring in Artificial Intelligence and Management Information System Micro Artificial Intelligence and Business Science

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Data Center

Convergence Program

College of Computing


AI Concentration Major Program

Overview

Demand-driven AI-Centered Education (DAICE)

: The demand-driven AI education program contributes to the AI education at Yonsei by offering core AI courses that meet the specific needs of students majoring in other fields.

DAICE Conceptual Diagram

: X1 : AI Core subjects + Department-Specific AI Concentration Major Program + Department major subjects

X2
:   **AI Core subjects** + College of Computing Common Courses + Department-Specific AI Concentration Major Program + Department major subjects

X3
:   **AI core subjects** + College of Computing Common Courses + Department major subjects

X4
:   **AI core subjects** + College of Computing Common Courses + Joint development or team teaching subjects between College of Computing and departments + Department-Specific AI Concentration Major Program + Department major subjects

X5
:   **AI core subjects** + Collaborative development or team teaching subjects between College of Computing and departments + Department major subjects

Summary

: - The AI Core subjects will be integrated into the program of the students' primary major (AI+X Education Model) - Customized programs are offered to address the diverse needs of students with different majors.

AI Concentration Core Subject * AI Concentration Core Subjects will be counted towards the college general education [Information and Technology] field (retroactively applied starting with the 2023-1 semester)

AI Programming with Python : In this course, students learn the fundamental concepts of computer programming with a focus on the Python language. This course is provided for non-major students, aiming to ultimately prepare them to take additional courses related to artificial intelligence integration and applications.

Computer Algorithms for AI Applications : The goal of this course is to prepare students to take intermediate-level courses in the field of artificial intelligence. In this course, we cover fundamental data structures used in the field of artificial intelligence and the algorithms associated with them.

Introduction to AI and Its Application : With the advancement of artificial intelligence (AI) technology, numerous problems in the world are beginning to be solved using AI techniques. AI technology is expected to continue developing at a rapid pace and be applied to various fields. Artificial intelligence is no longer limited to AI experts; its value shines when it is applied to solving countless problems existing in the world. In this course, we aim to share extensive knowledge of artificial intelligence with non-specialists and examine successful cases where AI has been applied to solve problems in various fields. We also seek to make attempts to solve real-world problems during the course.

Introduction to Deep Learning and Application : In this course, we explain the widely used techniques of machine learning and deep learning, which are essential for implementing artificial intelligence systems. We extensively cover deep learning applications, including deep feedforward networks, optimization techniques, convolutional neural networks, recurrent neural networks, representation learning, generative models, and more. The goal of the course is to provide a comprehensive understanding of deep learning and its various applications to enable students to implement artificial intelligence systems.

Introduction to Data Science : In this course, various topics related to data science are introduced, such as big data platforms, basic mathematical knowledge, fundamental machine learning, various data analysis and visualization techniques, and the basics of decision-making methodologies. The goal of the course is to assist in the future enrollment of diverse data analysis courses.

Natural Language Processing and ChatGPT : This course covers a wide range of topics, from basic common sense and model learning techniques for natural language processing to state-of-the-art language models such as ChatGPT. The goal of the course is to introduce various areas and ultimately utilize natural language processing and ChatGPT in various real-life problems.

Eligibility

Students enrolled in departments that offer AI Concentration Major Program can apply for the program.

Schedule and Application Process

Application Period: At the end of each semester\

How to Apply

· Step 1: Log in to the Yonsei Portal Service (http://portal.yonsei.ac.kr) → Academic Affairs → Application for Convergence Major\ · Step 2: Confirm the desired major and submit: statement of purpose and academic plans\ ※ Announcement of Results: Spring(First) semester: Late January to early February / Fall(Second) semester: Late July to early August\ - Note: Schedules are subject to change based on circumstances

AI Concentration Major Program Curriculum

Please refer to the respective curriculums offered by the participating colleges and departments.

Diploma

Students who have been accepted to the AI Concentration Major Program and have successfully completed the required number of credits in each department's program will be awarded a degree certificate indicating both their primary major and the AI Concentration Major.

Inquiry

The office of the respective participating colleges and departments

Demand-driven AI-Centered Education for College of Liberal Arts * For the latest graduation requirements, please contact the administrative office of your respective department for confirmation * The Department of Korean Language and Literature will begin admissions from the 2023-2 semester

Major Requirements (Credits) : | Department | Advanced Major Name | AI Core Subjects | Primary Major Advanced Major in AI Convergence | Primary Major | AI College Major Subjects | Total Credits Earned | | --- | --- | --- | --- | --- | --- | --- | | Korean Language and Literature | Korean Language and Literature Advanced AI Convergence | 12 | - | 57 | - | 69 | | French Language and Literature | French Language and Literature Advanced AI Convergence | 9 | 6 | 51 | - | 66 | | Psychology | Psychology Advanced AI Convergence | 12 | 3 | 48 | - | 63 |

Major Requirements for the Department of Korean Language and Literature\ * The Department of Korean Language and Literature will begin admissions from the 2023-2 semester : | Department | Advanced Major Name | Contents | | | | Group Completion | | Subtotal | Remarks | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | Course Number | Course Name | Offering Semester | Credits | Group | Subgroups | | Korean Language and Literature | Korean Language and Literature Advanced AI Convergence | AIC2100 | AI Programming | 2023-1 | 3 | A | AI Core Subject | 12 | Choose 4 Courses | | TBD | AI Algorithms | 2023-2 | 3 | A | | TBD | Introduction to AI and its Application | 2023-2 | 3 | A | | AIC3100 | Introduction to Deep Learning and its Applications | 2023-1 | 3 | A | | AIC2110 | Introduction to Data Science | 2023-1 | 3 | A | | - | - | - | - | - | Primary Major Credit | 57 | - |

Major Requirements for the Department of French Language and Literature : | Department | Advanced Major Name | Contents | | | | Group Completion | | Subtotal | Remarks | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | Course Number | Course Name | Offering Semester | Credits | Group | Subgroups | | French Language and Literature | French Language and Literature Advanced AI Convergence | AIC2100 | AI Programming | 2023-1 | 3 | A | AI Core Subject | 9 | Choose 4 Courses | | TBD | AI Algorithms | 2023-2 | 3 | A | | TBD | Introduction to AI and its Application | 2023-2 | 3 | A | | AIC3100 | Introduction to Deep Learning and its Applications | 2023-1 | 3 | A | | AIC2110 | Introduction to Data Science | 2023-1 | 3 | A | | TBC | The meaning of French | - | 3 | - | Primary Major Advanced Major in AI Convergence | 6 | Essential | | TBC | The architecture of French language | - | 3 | - | | - | - | - | 3 | - | Primary Major Credit | 51 | - |

Major Requirements for the Department of Psychology : | Department | Advanced Major Name | Contents | | | | Group Completion | | Subtotal | Remarks | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | Course Number | Course Name | Offering Semester | Credits | Group | Subgroups | | Psychology | Psychology Advanced AI Convergence | AIC2100 | AI Programming | 2023-1 | 3 | A | AI Core Subject | 12 | Choose 4 Courses | | TBD | AI Algorithms | 2023-2 | 3 | A | | TBD | Introduction to AI and its Application | 2023-2 | 3 | A | | AIC3100 | Introduction to Deep Learning and its Applications | 2023-1 | 3 | A | | AIC2110 | Introduction to Data Science | 2023-1 | 3 | A | | TBD | Psychological Science Data Science | 2023-2 | 3 | B | Primary Major Advanced Major in AI Convergence | 3 | Choose 1 Courses | | TBD | Cognitive engineering psychology | 2023-2 | 3 | B | | - | - | - | - | - | Primary Major Credit | 48 | - |

Summary

Advanced convergence majors established by Yonsei University's Business School and the Department of Computer Science/Artificial Intelligence to foster future convergence talents who can organize, manage and evaluate related business models based on their understanding of artificial intelligence technology, the core of the 4th industrial revolution technology

Eligibility

First Major in Computer Science at AI Convergence University (Since 2017)

Course Requirements

66credit (54 credits for a single major in computer science + 12 additional majors in Convergence Deepening)

Division Course Number Classification Credits Course Name
1 or more of these(3credits) BIZ1102 Major required 3 Theory of organizational behavior
BIZ1101 Major required 3 Accounting principles 1
BIZ3108 Major Required 3 Accounting principles 2
BIZ2122 Major requireds 3 Management science
BIZ3189 Major Required 3 Management Information System
BIZ2119 Major required 3 Financial management
BIZ2121 Major required 3 Production and operation management
BIZ2120 Major required 3 Marketing
BIZ3147 Major Required 3 Strategic management
Two or more of these subjects (6 credits) Department of Business Administration Major Selection -
Select one of the required subjects BIZ3207 Major Selection 3 Artificial Intelligence Management Introduction Project
CCO4140 Major Selection 3 Artificial Intelligence Convergence Practice

Application period

Apply from the 3rd semester to the semester just before graduation (Same as double major)

Inquiry

Office of Computer Science and Administration

College of Science AI-Centered Education for College of College of Science * For the latest graduation requirements, please contact the administrative office of your respective department for confirmation

Major Requirements (Credits) : | Department | Advanced Major Name | AI Core Subjects | Primary Major Advanced Major in AI Convergence | Primary Major | AI College Major Subjects | Total Credits Earned | | --- | --- | --- | --- | --- | --- | --- | | Department of Mathematics | Mathematics Advanced AI Convergence | 3 | 3 | 57 | 6 | 69 |

Major Requirements(A subject in mathematics) : | Department | Advanced Major Name | Contents | | | | Group Completion | | Subtotal | Remarks | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | Course Number | Course Name | Offering Semester | Credits | Group | Subgroups | | Department of Mathematics | Mathematics Advanced AI Convergence | AIC2100 | Artificial intelligence Programming | 2023-1 | 3 | - | AI Core Subjects | 3 | Choose 1 Courses | | TBD | Artificial intelligence algorithms | 2023-2 | 3 | - | | TBD | Introduction and Application of Artificial Intelligence | 2023-2 | 3 | - | | AIC3100 | Introduction and Application of Deep Learning | 2023-1 | 3 | - | | AIC2110 | Introduction to Data Science | 2023-1 | 3 | - | | TBC | Mathematics and programming | 2023-1 | 3 | - | Primary Major Advanced Major in AI Convergence | 3 | Essential | | - | - | - | 3 | - | Primary Major Credits | 57 | - | | - | - | - | - | - | AI College Major Subjects | 6 | Choose 2 Courses, Exclude Discrete Structures |

준비중입니다.

Demand-driven AI-Centered Education for College of College of Life Science and Biotechnology * For the latest graduation requirements, please contact the administrative office of your respective department for confirmation

Major Requirements (Credits) : | Department | Advanced Major Name | AI Core Subjects | Primary Major Advanced Major in AI Convergence | Primary Major | AI College Major Subjects | Total Credits Earned | | --- | --- | --- | --- | --- | --- | --- | | Department of Biotechnology | Biotechnology Advanced AI Convergence | 12 | - | 54 | - | 66 |

Major Requirements(A course in biotechnology) : | Department | Advanced Major Name | Contents | | | | Group Completion | | Subtotal | Remarks | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | Course Number | Course Name | Offering Semester | Credits | Group | Subgroups | | Department of Biotechnology | Biotechnology Advanced AI Convergence | AIC2100 | Artificial intelligence Programming | 2023-1 | 3 | A | AI Core Subjects | 12 | - | | TBD | Introduction and Application of Artificial Intelligence | 2023-2 | 3 | A | | AIC3100 | Introduction and Application of Deep Learning | 2023-1 | 3 | A | | AIC2110 | Introduction to Data Science | 2023-1 | 3 | A | | - | - | - | - | - | Primary Major Credits | 54 | - |

Demand-driven AI-Centered Education for College of College of Social Sciences * For the latest graduation requirements, please contact the administrative office of your respective department for confirmation

Major Requirements (Credits) : | Department | Advanced Major Name | AI Core Subjects | Primary Major Advanced Major in AI Convergence | Primary Major | AI College Major Subjects | Total Credits Earned | | --- | --- | --- | --- | --- | --- | --- | | Department of Political Science and Diplomacy | political diplomacy Advanced AI Convergence | 15 | 6 | 45 | - | 66 | | Department of Public Administration | Public administration Advanced AI Convergence | 15 | 6 | 48 | - | 69 | | Department of Media and Public Relations and Imaging | Media and Publicity Imaging Advanced AI Convergence | 15 | 6 | 42 | - | 63 | | Department of Social Welfare | Social welfare studies Advanced AI Convergence | 15 | 6 | 42 | - | 63 | | Department of Sociology | Sociology Advanced AI Convergence | 15 | 6 | 42 | - | 63 | | Department of Cultural Anthropology | Cultural anthropology Advanced AI Convergence | 15 | 6 | 42 | - | 63 |

Major Requirements(A political and diplomatic course) : | Department | Advanced Major Name | Contents | | | | Group Completion | | Subtotal | Remarks | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | Course Number | Course Name | Offering Semester | Credits | Group | Subgroups | | AI Core Subjects | Political diplomacy Advanced AI Convergence | AIC2100 | Artificial intelligence Programming | 2023-1 | 3 | A | AI Core Subjects | 15 | - | | TBD | Artificial intelligence algorithms | 2023-2 | 3 | A | | TBD | Introduction and Application of Artificial Intelligence | 2023-2 | 3 | A | | AIC3100 | Introduction and Application of Deep Learning | 2023-1 | 3 | A | | AIC2110 | Introduction to Data Science | 2023-1 | 3 | A | | College of Social Sciences Common | TBD | AI Basic Social Science (Coding) Subject(Undetermined) | 2023-2 | 3 | - | Primary Major Advanced Major in AI Convergence | 6 | - | | TBD | AI Saturation Science Problem Solving Capstone(Undetermined) | 2024-1 | 3 | - | | Political diplomacy | - | - | - | - | - | - | 45 | - |

Major Requirements(A course in public administration) : | Department | Advanced Major Name | Contents | | | | Group Completion | | Subtotal | Remarks | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | Course Number | Course Name | Offering Semester | Credits | Group | Subgroups | | AI Core Subjects | Public administration Advanced AI Convergence | AIC2100 | Artificial intelligence Programming | 2023-1 | 3 | A | AI Core Subjects | 15 | - | | TBD | Artificial intelligence algorithms | 2023-2 | 3 | A | | TBD | Introduction and Application of Artificial Intelligence | 2023-2 | 3 | A | | AIC3100 | Introduction and Application of Deep Learning | 2023-1 | 3 | A | | AIC2110 | Introduction to Data Science | 2023-1 | 3 | A | | College of Social Sciences Common | TBD | AI Basic Social Science (Coding) Subject(Undetermined) | 2023-2 | 3 | - | Primary Major Advanced Major in AI Convergence | 6 | - | | TBD | AI Saturation Science Problem Solving Capstone(Undetermined) | 2024-1 | 3 | - | | Department of Public Administration | - | - | - | - | - | - | 48 | - |

Major Requirements(A course in the Department of Media and Public Relations and Imaging) : | Department | Advanced Major Name | Contents | | | | Group Completion | | Subtotal | Remarks | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | Course Number | Course Name | Offering Semester | Credits | Group | Subgroups | | AI Core Subjects | Media and Publicity Imaging + Advanced AI Convergence | AIC2100 | Artificial intelligence Programming | 2023-1 | 3 | A | AI Core Subjects | 15 | - | | TBD | Artificial intelligence algorithms | 2023-2 | 3 | A | | TBD | Introduction and Application of Artificial Intelligence | 2023-2 | 3 | A | | AIC3100 | Introduction and Application of Deep Learning | 2023-1 | 3 | A | | AIC2110 | Introduction to Data Science | 2023-1 | 3 | A | | College of Social Sciences Common | TBD | AI Basic Social Science (Coding) Subject(Undetermined) | 2023-2 | 3 | - | Primary Major Advanced Major in AI Convergence | 6 | - | | TBD | AI Saturation Science Problem Solving Capstone(Undetermined) | 2024-1 | 3 | - | | Department of Media and Public Relations and Imaging | Media and Publicity Imaging Advanced AI Convergence | - | - | - | - | - | - | 42 | - |

Major Requirements(A social welfare course) : | Department | Advanced Major Name | Contents | | | | Group Completion | | Subtotal | Remarks | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | Course Number | Course Name | Offering Semester | Credits | Group | Subgroups | | AI Core Subjects | Social welfare studies + Advanced AI Convergence | AIC2100 | Artificial intelligence Programming | 2023-1 | 3 | A | AI Core Subjects | 15 | - | | TBD | Artificial intelligence algorithms | 2023-2 | 3 | A | | TBD | Introduction and Application of Artificial Intelligence | 2023-2 | 3 | A | | AIC3100 | Introduction and Application of Deep Learning | 2023-1 | 3 | A | | AIC2110 | Introduction to Data Science | 2023-1 | 3 | A | | College of Social Sciences Common | TBD | AI Basic Social Science (Coding) Subject(Undetermined) | 2023-2 | 3 | - | Primary Major Advanced Major in AI Convergence | 6 | - | | TBD | AI Saturation Science Problem Solving Capstone(Undetermined) | 2024-1 | 3 | - | | Department of Social Welfare | Social welfare studies Advanced AI Convergence | - | - | - | - | - | - | 42 | - |

Major Requirements(A social studies course of sociology) : | Department | Advanced Major Name | Contents | | | | Group Completion | | Subtotal | Remarks | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | Course Number | Course Name | Offering Semester | Credits | Group | Subgroups | | AI Core Subjects | 사회학 + Advanced AI Convergence | AIC2100 | Artificial intelligence Programming | 2023-1 | 3 | A | AI Core Subjects | 15 | - | | TBD | Artificial intelligence algorithms | 2023-2 | 3 | A | | TBD | Introduction and Application of Artificial Intelligence | 2023-2 | 3 | A | | AIC3100 | Introduction and Application of Deep Learning | 2023-1 | 3 | A | | AIC2110 | Introduction to Data Science | 2023-1 | 3 | A | | College of Social Sciences Common | TBD | AI Basic Social Science (Coding) Subject(Undetermined) | 2023-2 | 3 | - | Primary Major Advanced Major in AI Convergence | 6 | - | | TBD | AI Saturation Science Problem Solving Capstone(Undetermined) | 2024-1 | 3 | - | | Department of Sociology | Sociology, social science Advanced AI Convergence | - | - | - | - | - | - | 42 | - |

Major Requirements(A curriculum of cultural anthropology of culture and anthropology) : | Department | Advanced Major Name | Contents | | | | Group Completion | | Subtotal | Remarks | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | Course Number | Course Name | Offering Semester | Credits | Group | Subgroups | | AI Core Subjects | cultural anthropology + Advanced AI Convergence | AIC2100 | Artificial intelligence Programming | 2023-1 | 3 | A | AI Core Subjects | 15 | - | | TBD | Artificial intelligence algorithms | 2023-2 | 3 | A | | TBD | Introduction and Application of Artificial Intelligence | 2023-2 | 3 | A | | AIC3100 | Introduction and Application of Deep Learning | 2023-1 | 3 | A | | AIC2110 | Introduction to Data Science | 2023-1 | 3 | A | | College of Social Sciences Common | TBD | AI Basic Social Science (Coding) Subject(Undetermined) | 2023-2 | 3 | - | Primary Major Advanced Major in AI Convergence | 6 | - | | TBD | AI Saturation Science Problem Solving Capstone(Undetermined) | 2024-1 | 3 | - | | Department of Cultural Anthropology | Cultural anthropology Advanced AI Convergence | - | - | - | - | - | - | 42 | - |

Demand-driven AI-Centered Education for College of College of Human Ecology * For the latest graduation requirements, please contact the administrative office of your respective department for confirmation

Major Requirements (Credits) : | Department | Advanced Major Name | AI Core Subjects | Primary Major Advanced Major in AI Convergence | Primary Major | AI College Major Subjects | Total Credits Earned | | --- | --- | --- | --- | --- | --- | --- | | Department of Food and Nutrition | Food and Nutrition Advanced AI Convergence | 12 | - | 48 | 3 | 63 | | Department of Living Design | life design Advanced AI Convergence | 12 | 3 | 48 | - | 63 |

Major Requirements(A food and nutrition course) : | Department | Advanced Major Name | Contents | | | | Group Completion | | Subtotal | Remarks | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | Course Number | Course Name | Offering Semester | Credits | Group | Subgroups | | Department of Food and Nutrition | Food and Nutrition Advanced AI Convergence | AIC2100 | Artificial intelligence Programming | 2023-1 | 3 | A | AI Core Subjects | 12 | Choose 4 Courses | | TBD | Artificial intelligence algorithms | 2023-2 | 3 | A | | TBD | Introduction and Application of Artificial Intelligence | 2023-2 | 3 | A | | AIC3100 | Introduction and Application of Deep Learning | 2023-1 | 3 | A | | AIC2110 | Introduction to Data Science | 2023-1 | 3 | A | | - | - | - | 48 | - | Primary Major Credits | 48 | - | | - | Introduction to Computer Science | - | 3 | - | AI College Major Subjects | 3 | Select 1 out of 11 subjects | | - | Object Oriented Programming | - | 3 | - | | - | Internet programming | - | 3 | - | | - | Data structure | - | 3 | - | | - | Algorithmic analysis | - | 3 | - | | - | Database | - | 3 | - | | - | Machine learning | - | 3 | - | | - | Data Mining | - | 3 | - | | - | Big Data | - | 3 | - | | - | computer vision | - | 3 | - | | - | Artificial Intelligence Convergence Practice | - | 3 | - |

Major Requirements(A course in the Department of Life Design) \ * We are planning to coordinate part of the curriculum, so please check the requirements for completion with the relevant department. : | Department | Advanced Major Name | Contents | | | | Group Completion | | Subtotal | Remarks | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | Course Number | Course Name | Offering Semester | Credits | Group | Subgroups | | Department of Living Design | life design Advanced AI Convergence | AIC2100 | Artificial intelligence Programming | 2023-1 | 3 | A | AI Core Subjects | 12 | Choose 4 Courses | | TBD | Artificial intelligence algorithms | 2023-2 | 3 | A | | TBD | Introduction and Application of Artificial Intelligence | 2023-2 | 3 | A | | AIC3100 | Introduction and Application of Deep Learning | 2023-1 | 3 | A | | AIC2110 | Introduction to Data Science | 2023-1 | 3 | A | | TBC | Data-based Integrated Design Research | 2023-1 | 3 | - | Primary Major Advanced Major in AI Convergence | 3 | Essential | | - | Required designated subjects 1 | - | 3 | - | Primary Major Credits | Essential | 48 | | - | Required designated subjects 2 | - | 3 | - | Essential | | - | Required designated subjects 3 | - | 3 | - | Essential | | - | Required designated subjects 4 | - | 3 | - | Essential | | - | Required designated subjects 5 | - | 3 | - | Essential | | - | Required designated subjects 6 | - | 3 | - | Essential | | - | Autonomous selection among major selection subjects | - | - | - | - | - | - |

Demand-driven AI-Centered Education for College of College of Sciences in Education * For the latest graduation requirements, please contact the administrative office of your respective department for confirmation

Major Requirements (Credits) : | Department | Advanced Major Name | AI Core Subjects | Primary Major Advanced Major in AI Convergence | Primary Major | AI College Major Subjects | Total Credits Earned | | --- | --- | --- | --- | --- | --- | --- | | The Department of Education | Pedagogy Advanced AI Convergence | 9 | 6 | 48 | - | 63 | | Department of Sports Application Industry | Sports application industry Advanced AI Convergence | 12 | 0 | 57 | - | 69 |

Major Requirements(An educational subject of the Department of Education) : | Department | Advanced Major Name | Contents | | | | Group Completion | | Subtotal | Remarks | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | Course Number | Course Name | Offering Semester | Credits | Group | Subgroups | | The Department of Education | Pedagogy Advanced AI Convergence | AIC2100 | Artificial intelligence Programming | 2023-1 | 3 | A | AI Core Subjects | 9 | Choose 3 Courses | | TBD | Artificial intelligence algorithms | 2023-2 | 3 | A | | TBD | Introduction and Application of Artificial Intelligence | 2023-2 | 3 | A | | AIC3100 | Introduction and Application of Deep Learning | 2023-1 | 3 | A | | AIC2110 | Introduction to Data Science | 2023-1 | 3 | A | | TBD | Computer learning analysis | 2023-2 | 3 | - | Primary Major Advanced Major in AI Convergence | 6 | Essential | | TBD | AI Convergence Education | 2024-1 | 3 | - | | EDU2002 | Education for the Future | Existing subjects | 3 | - | Primary Major Credits | 48 | - |

Major Requirements(Subjects of the Department) : | Department | Advanced Major Name | Contents | | | | Group Completion | | Subtotal | Remarks | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | Course Number | Course Name | Offering Semester | Credits | Group | Subgroups | | Sports application industry | Sports application industry Advanced AI Convergence | AIC2100 | Artificial intelligence Programming | 2023-1 | 3 | A | AI Core Subjects | 12 | Choose 4 Courses | | TBD | Artificial intelligence algorithms | 2023-2 | 3 | A | | TBD | Introduction and Application of Artificial Intelligence | 2023-2 | 3 | A | | AIC3100 | Introduction and Application of Deep Learning | 2023-1 | 3 | A | | AIC2110 | Introduction to Data Science | 2023-1 | 3 | A | | - | - | - | 3 | - | Primary Major Credits | 57 | - |

Demand-driven AI-Centered Education for College of Global Leaders College * For the latest graduation requirements, please contact the administrative office of your respective department for confirmation

Major Requirements (Credits) : | Department | Advanced Major Name | AI Core Subjects | Primary Major Advanced Major in AI Convergence | Primary Major | AI College Major Subjects | Total Credits Earned | | --- | --- | --- | --- | --- | --- | --- | | Applied Information Engineering Major | Applied Information Engineering Advanced AI Convergence | 9 | 3 | 51 | - | 63 |

Major Requirements(Subject) : | Department | Advanced Major Name | Contents | | | | Group Completion | | Subtotal | Remarks | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | Course Number | Course Name | Offering Semester | Credits | Group | Subgroups | | Department of Global Human Resources Applied Information Engineering Major | Applied Information Engineering Advanced AI Convergence | AIC2100 | Artificial intelligence Programming | 2023-1 | 3 | A | AI Core Subjects | 9 | Essential | | TBD | Artificial intelligence algorithms | 2023-2 | 3 | A | - | | AIC3100 | Introduction and Application of Deep Learning | 2023-1 | 3 | A | Essential | | AIC2110 | Introduction to Data Science | 2023-1 | 3 | A | Essential | | GAI3006 | Introduction to Artificial Intelligence | 2023-2 | 3 | - | Primary Major Advanced Major in AI Convergence | 3 | Essential | | GAI2003 | Database Overview | 2023-2 | 3 | - | Primary Major Credits | 51 | - | | GAI3007 | Information SW engineering | 2023-2 | 3 | - | - | | GAI4001 | Application Information Capstone Design | 2023-1 | 3 | - | - |

Demand-driven AI-Centered Education for College of Medicine * For the latest graduation requirements, please contact the administrative office of your respective department for confirmation

Major Requirements (Credits) : | Advanced Major Name | AI Core Subjects | Primary Major Advanced Major in AI Convergence | Primary Major | AI College Major Subjects | Total Credits Earned | | --- | --- | --- | --- | --- | --- | | medical science Advanced AI Convergence | 9 | 3 | 269.5 | - | 281.5 |

Major Requirements(Subject) : | Advanced Major Name | Contents | | | | Group Completion | | Subtotal | Remarks | | --- | --- | --- | --- | --- | --- | --- | --- | --- | | Course Number | Course Name | Offering Semester | Credits | Group | Subgroups | | medical science Advanced AI Convergence | AIC2100 | Artificial intelligence Programming | 2023-1 | 3 | A | AI Core Subjects | 9 | Choose 3 Courses | | TBD | Artificial intelligence algorithms | 2023-2 | 3 | A | | TBD | Introduction and Application of Artificial Intelligence | 2023-2 | 3 | A | | AIC3100 | Introduction and Application of Deep Learning | 2023-1 | 3 | A | | MED2131 | Data Science | 2023-1 | 3 | - | Primary Major Advanced Major in AI Convergence | 3 | Essential | | - | - | - | - | - | Primary Major Credits | 269.5 | See the medical school curriculum table |

Demand-driven AI-Centered Education for College of Dentistry * For the latest graduation requirements, please contact the administrative office of your respective department for confirmation

Major Requirements (Credits) : | Advanced Major Name | AI Core Subjects | Primary Major Advanced Major in AI Convergence | Primary Major | AI College Major Subjects | Total Credits Earned | | --- | --- | --- | --- | --- | --- | | dentistry Advanced AI Convergence | 12 | - | 231.5 | - | 243.5 |

Major Requirements(Subject) : | Advanced Major Name | Contents | | | | Group Completion | | Subtotal | Remarks | | --- | --- | --- | --- | --- | --- | --- | --- | --- | | Course Number | Course Name | Offering Semester | Credits | Group | Subgroups | | dentistry Advanced AI Convergence | AIC2110 | Introduction to Data Science | 2023-1 | 3 | A | AI Core Subjects | 12 | - | | TBD | Introduction and Application of Artificial Intelligence | 2023-2 | 3 | A | | TBD | Artificial intelligence algorithms | 2023-2 | 3 | A | | AIC3100 | Introduction and Application of Deep Learning | 2023-1 | 3 | A | | - | - | - | - | - | Primary Major Credits | 231.5 | See Dental University Curriculum Table |

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