2026 Capstone Design

Real-World Projects
Built with Industry

Team up with industry mentors to solve real problems and gain recognition at competitions

Team Formation

Teams of 4+ members
(within or across departments)

Mentor Assignment

Industry field expert
1:1 mentor assignment

Priority Support

AI convergence major capstone
receives top priority

Showcase

Compete in competitions
and showcase events

Program Overview

The Capstone Design Program is an industry-linked team project where teams of 4+ students solve real-world problems with industry mentors — a flagship practical education course of the RISE initiative.

AI convergence major capstone design receives top priority support, and outstanding outcomes can be recognized through competitions and showcases.

Program Process

01

Team & Topic Selection

Form teams of 4+ and select industry-linked practical topics.

02

Mentor Matching

Industry field experts are assigned to each team for project guidance.

03

Project Execution

Conduct team projects over the semester with mid-term reviews.

04

Showcase & Competition

Present final outcomes and select outstanding teams at competitions.

Program Highlights

Industry-Linked Real Projects

Develop field-applicable solutions by working on projects based on actual corporate problems.

AI Tool Utilization

Freely utilize the latest AI tools and technologies in projects to develop innovative solutions.

Winner Priority Next Year

Competition winners receive priority support for capstone design participation in the following year.

Showcase Participation

Present project results before external experts, strengthening real-world presentation skills.

Eligibility

Enrolled students at Cheju Halla University (Bachelor's & Associate's)

Able to form teams of 4+ members

AI convergence major students receive priority support

Both within-department and cross-department teams are welcome

AI Tool Utilization

Capstone design projects allow free use of various AI tools. From generative AI like ChatGPT, Claude, and Copilot to data analysis, computer vision, and NLP tools — choose the optimal tools for your project goals and develop innovative solutions.

Expected Outcomes

Acquiring practical problem-solving capabilities through industry-linked projects

Improved field adaptability through collaboration with industry mentors

Building achievement and portfolio through competition awards

Securing technological competitiveness through AI tool utilization skills

Growing collaboration and communication skills through team project experience

FAQ

Q1. How do we form teams?

Form teams of 4+ members. Teams can consist of students from the same department or across different departments.

Q2. Can non-AI convergence major students participate?

Yes, participation is open. However, AI convergence major capstone designs receive top priority support.

Q3. How are mentors assigned?

Industry field experts related to the project topic are assigned to each team.

Q4. Is AI tool usage mandatory?

Not mandatory, but encouraged. AI tool utilization may be reflected in the project innovation evaluation.

Q5. What benefits do competition winners receive?

Winning teams receive priority support for capstone design participation in the following year.