Cheju Halla University Cheju Halla University

Department of Artificial Intelligence

Curriculum

Systematic curriculum for AI professional development

Learning architecture

Education objectives

Our department trains comprehensive AI professionals through five specialized tracks, covering core AI technology, applications, systems, and data analysis.

  1. 01

    AI Core

    AI Engineer / Developer

  2. 02

    SW & Systems

    Software & Systems Specialist

  3. 03

    Data Analysis

    Data Analysis Specialist

  4. 04

    AI Applications

    AI Robotics / Applied Tech Developer

  5. 05

    Capstone

    Practical Skills

Five tracks

Curriculum roadmap

Follow each semester to build the depth and practical skills of your chosen track.

01

AI Core

AI Engineer / Developer

  1. 1-1 semester

    • AI & Society

  2. 1-2 semester

    • Intro to AI
    • Language Models & NLP

  3. 2-1 semester

    • Machine Learning
    • Computer Vision
    • Signals & Systems

  4. 2-2 semester

    • Pattern Recognition
    • Speech Recognition
    • Object Tracking

  5. 3-1 semester

    • Deep Learning
    • Algorithms
    • Multimodal Generative AI

  6. 3-2 semester

    • DL for NLP

  7. 4-2 semester

    • Next-Gen AI
02

SW & Systems

Software & Systems Specialist

  1. 1-1 semester

    • Info Security
    • Python Coding

  2. 1-2 semester

    • Server & Network Security

  3. 2-1 semester

    • Computational Science
    • OS

  4. 2-2 semester

    • AI Security
    • Data Structures

  5. 3-2 semester

    • Cloud Computing
    • Computer Architecture

  6. 4-1 semester

    • ML Systems
03

Data Analysis

Data Analysis Specialist

  1. 1-1 semester

    • AI Mathematics

  2. 1-2 semester

    • Probability & Statistics
    • Big Data Fundamentals

  3. 2-1 semester

    • R Programming

  4. 3-2 semester

    • Intelligent Systems
04

AI Applications

AI Robotics / Applied Tech Developer

  1. 2-2 semester

    • Robotics Fundamentals

  2. 3-1 semester

    • Collaborative Robots

  3. 3-2 semester

    • Game Programming
    • Intelligent HCI & UX

  4. 4-1 semester

    • 3D Engine
    • Personalized AI Signal Processing
05

Capstone

Practical Skills

  1. 3-1 semester

    • Capstone Design 1

  2. 3-2 semester

    • Capstone Design 2

  3. 4-1 semester

    • Capstone Design 3

  4. 4-2 semester

    • Capstone Design 4

Course design

Curriculum highlights

  1. 01

    Progressive learning

    Foundation courses in years 1-2, advanced and applied courses in years 3-4

  2. 02

    Five specialized tracks

    Tailored professional development through specialized learning paths

  3. 03

    Hands-on projects

    Four semesters of Capstone Design plus industry partnership projects

  4. 04

    Current technologies

    Multimodal Generative AI, Next-Gen AI, and the latest industry trends