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2026 Capstone Design

Real-World Projects Built with Industry

Team up with industry mentors to solve real problems and gain recognition at the competition.

  • Industry-linked
  • Team project
  • AI tools
Capstone Design Competition

Program Overview

The Capstone Design Program is an industry-linked team project in which teams of four or more students solve real problems alongside an industry mentor. It is the RISE programme's flagship practical course.

AI convergence major capstones receive first priority for support, and strong results are recognised at the competition and the showcase.

Program Process

  1. 01

    Team and topic selection

    Form a team of four or more and choose an industry-linked problem.

  2. 02

    Mentor matching

    An industry practitioner is assigned to each team to guide the project.

  3. 03

    Project execution

    Run the project across one semester, with a mid-term review.

  4. 04

    Showcase and competition

    Present the final work; outstanding teams are selected at the competition.

Program Highlights

  • Industry-linked real projectsWork on a company's actual problem and build a solution that can be applied in the field.
  • AI tools welcomeCurrent AI tools and techniques may be used freely, which opens the door to more inventive solutions.
  • Priority for past winnersCompetition winners receive priority support when they take part again the following year.
  • Showcase participationPresent your results to outside experts and sharpen real presentation skills.

Eligibility

  • Enrolled Cheju Halla University students (bachelor's and associate's)
  • Able to form a team of four or more
  • AI convergence major students receive priority
  • Teams may be within one department or across departments

Using AI Tools

Capstone projects may use AI tools freely: generative assistants such as ChatGPT, Claude, and Copilot, and tools for data analysis, computer vision, and natural language processing. Pick what fits the problem and build something better with it.

Expected Outcomes

  1. Practical problem-solving ability, built on an industry-linked project
  2. Better readiness for the workplace, through working with an industry mentor
  3. A portfolio piece, and the confidence that comes with placing at the competition
  4. Stronger command of AI tools, and the edge that brings
  5. Collaboration and communication skills earned on a real team project