AI System Control
"AI Connecting Social·Natural·Digital Ecosystems, Controlling a Sustainable Future"
Adding AI to social welfare and smart farms.
Setting goals based on data and optimizing systems
Training convergence experts who create practical solutions for people (Welfare) and nature (Nature)
Major Overview
Why 'AI System Control'?
In the era of the Fourth Industrial Revolution, beyond simple digital transformation (DX), AI Transformation (AX) is now demanded. AI System Control is the technology that analyzes complex social problems and natural environments based on data, and coordinates and improves them in ways that benefit everyone.
This convergence major, led by the Department of Social Welfare in collaboration with Environmental Horticulture, Equine Studies, and other disciplines, trains practice-oriented AI talent in the fields of 'Intelligent Welfare' and 'AgTech (Agricultural Technology)'.
What Makes Our Major Special
- Expanding Convergence: Consilient education spanning humanities/social science (welfare) + natural science (horticulture/ecology) + engineering (AI)
- Community-Centered: Living lab projects addressing Jeju regional issues (aging population, environment, primary industries)
- Student-Friendly: Step-by-step AI education model accessible even to non-majors
Educational Goals & Talent Profile
Students can choose one of two specialized tracks based on their career goals for in-depth learning.
[Track 1] Social Welfare-Based AI Convergence Track
"Planners who illuminate welfare blind spots with compassionate technology"
Target Profile:
Intelligent Welfare System Planner
Key Roles:
- Deriving insights through social welfare data analysis and visualization
- Designing personalized welfare services such as AI chatbots and smart care
- Planning automation and efficiency improvements for welfare administration systems
Recommended for: Aspiring social workers, social enterprise founders, and those interested in public administration
[Track 2] Environmental Horticulture-Based AI Convergence Track
"AgTech experts who maximize agricultural productivity through data"
Target Profile:
Environmental Horticulture Data Control Expert (AgTech Smart Farm Specialist)
Key Roles:
- Smart farm sensor (IoT) data collection and crop growth environment control
- Precision agriculture and image analysis using drones
- Utilizing AI models to optimize crop productivity
Recommended for: Aspiring smart farm operators, agricultural technology consultants, and 6th-industry planners
[Common Competency] Regional Problem-Solving AI Project Manager
Develops field-ready PM competencies to analyze Jeju regional issues such as transportation, environment, and tourism through data, and to plan and execute AI solutions.
Curriculum & Tracks
Curriculum Roadmap
A systematic 3-stage curriculum is operated from foundational learning to field application.
Step 1. Foundational Stage (Understanding)
Students understand the basic principles of AI and system control and build a foundation in their major.
Common:
Track-specific:
Step 2. Applied Stage (Creating)
Students analyze data and actually design AI systems for their respective fields.
Social Welfare Track:
Environmental Horticulture Track:
Step 3. Field Stage (Experiencing)
Students complete practical competencies through industry-academia projects and hands-on training.
Common:
Track-specific:
Key Course Descriptions
Ecosystem Control & AI
Learning foundational competencies to comprehensively understand and control systems combining social, natural, and digital domains
Social Welfare Data Analysis & Visualization
Acquiring practical skills to collect and analyze welfare field data and apply it to policy and service improvement
Smart Sensors for AgTech
Practicum for collecting and analyzing agricultural sensor data (temperature, humidity, CO2, etc.) and building IoT systems
Smart Welfare Practice
Mastering smart welfare technologies including digital tool-based welfare administration, demand analysis, and AI counseling support
Drone Application for AgTech
Precision agriculture skills: operating agricultural drones and analyzing image data to diagnose crop conditions
Convergence Capstone Design
Comprehensive project forming multidisciplinary teams to identify real community problems and develop AI solutions
Career After Graduation
Career Fields
Welfare & Public Sector
- • Social Welfare Organization (Smart Welfare)
- • Local Government (Digital Administration)
- • Public Institution Project Coordinator
Agriculture & Technology
- • Smart Farm Operation & Management
- • AgTech Startup
- • Agricultural Data Analysis Consulting Firm
Entrepreneurship & Others
- • Social Venture Startup
- • Animal-Assisted Therapy (Therapeutic Riding) Center
- • Regional Specialized Industry PM
Related Certifications
National Certifications:
- • Social Worker Level 2
- • Big Data Analyst Engineer
- • Information Processing Engineer
- • Facility Horticulture Engineer
Private Certifications:
- • Data Analysis Professional (ADP/ADsP)
- • Smart Farm Operations Manager
- • Drone Pilot License
- • IoT Knowledge Competency Exam
- • Therapeutic Riding Instructor
Participating Faculty
Faculty
Lead Department (Social Welfare)
Participating Departments
Partner Organizations
Research Institute
• National Institute of Horticultural & Herbal Science, Climate Change Research Division
Welfare Organization
• Seogwipo City Western Comprehensive Social Welfare Center
Industry
• Smart farm and equestrian-related companies in the Jeju region
Consultation & Inquiry
Prof. Lee Tae-in, Social Welfare Department
Please contact the responsible professor for inquiries about the major.
Start at Cheju Halla University with warm AI technology that connects people and nature.
Student Benefits
Innovation Talent Support Fund
- Up to 50,000 KRW per credit
- Additional 50,000 KRW for industry-linked courses
- Maximum 500,000 KRW per person
Global Training Support
- Selected outstanding students for overseas training (Japan, etc.)
- Airfare and accommodation support
- Bonus points for participating in extracurricular programs
Advanced Educational Environment
- Generative AI paid tools (GPT, etc.) support
- Latest practice equipment and facilities
- Priority selection for Capstone Design