University/Graduate School
Educational Objective
Educational Objective
The aim of the Department of Future Technology is to organically integrate professional knowledge reflecting the demands of future industrial society with the unique academic areas of the majors in each department, thereby cultivating talented individuals with convergence knowledge and competencies. The department aims to flexibly open and operate curriculums suitable for future society and cultivate multidisciplinary convergence and integration capacities. Currently the AI/Big Data track, Smart Factory track, Metaverse track and Global Creativity Convergence major (combined major for four universities in the Chungcheongnam-do region) are offered to all students, centering on a new type of education utilizing edutech and PBL lectures to improve problem-solving.
Curriculum
Microdegree (Special Track)
Condition for track completion: Complete 12 credits or more for each track
The total credits are recognized regardless of the curriculum reform.
Big Data Utilization has been excluded from the common mandatory of Special track from the 2023 school year (applicable regardless of the admission year).
| Classification | AI/Big Data track | Metaverse track | Factory track |
|---|---|---|---|
| Ability to connect the major the AI technology | Realistic content production | Utilization and smart process design and optimization | |
| PHASE 1 |
AI Vision Application Data and Pattern Classification Data Visualization Text Data Analysis Cloud and AI Service |
Realistic Interaction Content Design Metaverse Platform Utilization Digital Twin and CPS Data Visualization |
Smart Factory Utilization Digital Twin and CPS Utilization of Cobots AI Vision Application |
| PHASE 2 |
Deep Learning Modeling Block Chain Application Natural Language Collection and Processing Structured Data Analysis |
UI/UX Design XR Programming Block Chain Application XR Application Service |
Intellectual Process Data Management Smart Factory Processes and Distribution Intellectual Robot System Integration XR Application Service |
- Special tracks are recognized as major elective courses of the student’s major
- A special track course cannot be taken if there is the same or an alternative course in the major. / Recognized as completed when taking the same or an alternative course (up to two courses per major)
- Freshmen cannot take special track courses due to the courses’ characteristics
Up to 10 credits are recognized as credits for major elective courses of the student’s major when the student has completed special track courses, and up to 6 credits are recognized when special track courses have not been completed
Current Same/Alternative Courses
| Course | Same/Alternative Course | Designated Year | |||
|---|---|---|---|---|---|
| Course Code | Course Name | Course Code | Course Name | School (Department) | |
| CVG133 | AI Vision Application | MTD431 | Image Processing | Mecha | 2024 |
| IFC560 | Computer Vision and Practice | Communication | 2023 | ||
| CPC461 | Computer Vision and Practice | Computer | 2018 | ||
| CSE540 | Computer Vision and Practice | Computer | 2023 | ||
| IFB361 | Vision Systems and Practice | Electronics | 2024 | ||
| CVG132 | Computer Vision Application | Convergence | 2024 | ||
| CVG333 | UI/UX Design | IDA734 | UX Service Design (Capstone Design) | Design | 2018 |
| IDA733 | UX Service Design (Capstone Design) | Design | 2019 | ||
| IDA931 | Human Interface Design | Design | 2018 | ||
| CVG332 | UI/UX Design | Convergence | 2024 | ||
| CVG161 | Utilization of Cobots | MCA670 | Robot Engineering and Practice | Mecha | 2022 |
| CVG160 | Cobot Control | Convergence | 2024 | ||
| CVG343 | Realistic Interaction Content Design | CSE330 | Intelligent Interfaces and Practice | Computer | 2023 |
| CVG342 | Realistic Interaction Content Design | Convergence | 2024 | ||
| CVG421 | Cloud and AI Service | IMC810 | AI and Management | Industrial Management | 2023 |
| CVG420 | Cloud Computing and AI Service | Convergence | 2024 | ||
| CVG381 | Intelligent Process Data Management | CVG380 | Intelligent Process Data Management | Convergence | 2024 |
| CVG600 | Deep Learning Modeling | MTD440 | Artificial Intelligence | Mecha | 2023 |
| MTB570 | Introduction to Artificial Intelligence | Mecha | 2024 | ||
| IFB841 | Deep Learning and Practice | Electronics | 2024 | ||
| IFC550 | Machine Learning | Information and Communication | 2023 | ||
| CSE533 | Deep Learning and Practice | Computer | 2023 | ||
| CVG560 | Smart Factory Utilization | MTC719 | Smart Factory Process Control | Mecha | 2023 |
| CVG580 | Smart Factory Processes and Distribution | MTC719 | Smart Factory Process Control | Mecha | 2023 |
| IMC400 | Smart Factory Management | Industrial Management | 2023 | ||
| CVG490 | Data and Pattern Classification | CSE542 | Data Mining | Computer | 2023 |
| IFB841 | Deep Learning and Practice | Electronics | 2024 | ||
| CVG510 | Text Data Analysis | CSE532 | Machine Learning and Practice | Computer | 2023 |
| CVG520 | Natural Language Collection and Processing | CSE541 | Natural Language Processing and Practice | Computer | 2023 |
| CVG540 | XR Programming | CSE442 | Virtual Reality and Practice | Computer | 2023 |
| CSE444 | Augmented Reality and Practice | Computer | 2023 | ||
| CVG590 | Intelligent Robot System Integration | CSE345 | Robot Programming | Computer | 2023 |
| CVG620 | XR Application Service | CSE442 | Virtual Reality and Practice | Computer | 2023 |
| CSE444 | Augmented Reality and Practice | Computer | 2023 | ||
| CVG570 | Digital Twin and CPS | IMC581 | Management System Analysis and Optimization | Industrial Management | 2023 |
| IMC582 | System Modeling and Simulation (Capstone Design) | Industrial Management | 2024 | ||
- Up to 10 credits are recognized as credits for major elective courses of the student’s major when the student has completed special track courses and up to 6 credits are recognized when special track courses have not been completed
- A special track course cannot be taken if the same or an alternative course is designated in the student’s school/major and is recognized as completed when the student has completed the same or an alternative course
Global Creativity Convergence Major
-
- A combined major for four universities (KOREATECH, Sun Moon University, Hanseo University and Woosong University) in the Chungcheongnam-do region is operated.
Graduation Credits Table
| Department/Major Name | Major Mandatory | Major Elective | Total |
|---|---|---|---|
| Global Creativity Convergence Major | 0 | 30 | 30 |
- Degree Name : Bachelor of Creativity Convergence
- Method of Completion : Combined major
- Number of Selected Students : 6 per year (all schools (majors), applicable to persons who have completed at least 3 semesters)
- As each course may be offered by a different university, lectures are run in accordance with the intensive curriculum (every Friday, 7.5 weeks × 2 terms) for the efficient operation of the curriculum.
- Courses during school vacation are open during the summer or winter vacation according to the schedule
| Year | Semester | Classification | Code | Course Name | Credit | Supervising Department (University) |
|---|---|---|---|---|---|---|
| 3 | 1 | Major Elective | CVG910 | Design Thinking | 3 | Woosong University |
| 3 | 1 | Major Elective | CVG900 | Creative Ideas | 3 | Sun Moon University |
| 3 | 2 | Major Elective | CVG930 | Service Design and BM | 3 | Sun Moon University |
| 3 | 2 | Major Elective | CVG920 | CMF Design | 3 | Hanseo University |
| 3 | 2 | Major Elective | CMF940 | Global Startup Camp | 3 | Common |
| 4 | 1 | Major Elective | CVG980 | Convergence Product Design | 3 | Hanseo University |
| 4 | 1 | Major Elective | CVG970 | Technology Convergence and Integration Project | 3 | Woosong University |
| 4 | 2 | Major Elective | CVG961 | Global Commercialization Strategy | 3 | KOREATECH |
| 4 | 2 | Major Elective | CVG991 | Global Communication and Marketing | 3 | KOREATECH |
| Independently Operated | Major Elective | CVG950 | Global OJT | 3 | Common | |
| Total | 30 | |||||