주메뉴 바로가기본문 바로가기사이트정보 바로가기

Hanyang cyber university logo

College of Engineering

Be the true leader of this era who practices love.

  • Home
  • Academics
  • College of Engineering
  • AI Software Engineering
  1. Home

AI Software Engineering

공유 목록

Roadmap by Educational Objectives

1. AI & Data Specialist Course (Recommended Subject)

Go beyond the basics of AI and data analysis to comprehensively learn future core technologies such as Physical AI, Machine Learning AI, intelligent programming languages, and open platform utilization techniques.

1. AI & Data Specialist Course
AI-Centric World and
SW Fundamentals
Scratch Programming /
Introduction to Artificial
Intelligence Computing
University Mathematics
Introduction of Physical AI
Open Source Software (OSS)
Introduction to Data Analysis
Artificial Intelligence /
Artificial Intelligence Practice
Python Programming /
Python Application
Introduction to Intelligent
Programming Languages
Data Structure Theory /
Operating System
Database / SQL Programming
Machine Learning
Deep Learning
Practical Skills for AI Algorithm
Utilizing Generative AI
Information Security
Technology Fundamentals
Block Chain
Linux / Windows Server
The Internet of Things
Computer Vision
Cloud Computing
Intelligent Robotics
Big Data Computing in Practice

2. Software Developer Course (Recommended Subject)

Develop foundational and practical skills in programming languages based on Full Stack, and build the ability to work with various platforms widely used in the industry.

2. Software Developer Course (Recommended Subject)
AI-Centric World and SW Fundamentals /
Scratch Programming
Computer Programming Fundamental /
Introduction to IT and Terminology
University Mathematics
Python Programming
C Programming Basic /
C Programming Application
Introduction of Physical AI
Open Source Software (OSS)
Python Application
Practical AI-Based App & Web Development /
Web Service and Application
Database /
AI Data Engineering ('27 Year ~)
Introduction to Data Analysis /
Introduction to Intelligent
Programming Languages
Java Programming /
C++ Language
Data Structure Theory /
Operating System
Software Engineering /
System Analysis and Design
Machine Learning /
Deep Learning
Information Security
Technology Fundamentals
AI Business
Development of Game Programming
Linux Network Server Administration /
Windows Server
The Internet of Things
Cloud Computing
Advanced Software Engineering ('27 Year ~)

3. SMART IT Technology Literacy & Specialist Course (Recommended Subject)

Cover a wide range of topics from basic IT knowledge to grammar fundamentals for effective AI utilization, and the technologies for data and software storage, management, design, security, and application.

3. SMART IT Technology Literacy & Specialist Course
AI-Centric World and
SW Fundamentals
Introduction to IT and Terminology
Scratch Programming
Open Source Software (OSS)
C Programming Basic /
C Programming Application
Python Programming
Introduction to Artificial
Intelligence Computing
Introduction to Data Analysis /
Introduction to Intelligent
Programming Languages
Block Chain
Machine Learning
Cloud Computing
Utilizing Generative AI
Big Data Computing in Practice

4. Practical Business Data Analytics Course (Recommended Subject)

Operate a specialized curriculum in data business that explores insights across various fields through data collection, requirement analysis, preprocessing, analysis, and application processes.

4. Practical Business Data Analytics Course (Recommended Subject)
AI-Centric World and
SW Fundamentals
Introduction to IT and Terminology
Python Programming
Open Source Software (OSS)
Introduction to Data Analysis
Introduction to Intelligent
Programming Languages
Practical AI-Based App &
Web Development /
Web Service and Application
Python Application
Machine Learning
Utilizing Generative AI
Big Data Computing in Practice
Cloud Computing
Advanced Software Engineering

5. AI & Coding Instructor Course (Recommended Subject)

Provide a systematic and professional curriculum to train instructors for AI application and smart coding education at the elementary and secondary school levels.

5. AI & Coding Instructor Course (Recommended Subject)
AI-Centric World and
SW Fundamentals
Scratch Programming /
Introduction to Artificial
Intelligence Computing
Introduction of Physical AI
Computer Programming Fundamental
Open Source Software (OSS)
Practical AI-Based App &
Web Development /
Web Service and Application
Intelligent Robotics
Introduction to Intelligent
Programming Languages
Python Programming /
Python Application
Utilizing Generative AI
Big Data Computing in Practice
The Internet of Things /
Understanding Linux Basic

Roadmap by Course Level

Roadmap of Applied Software Engineering Curriculum - Major (Basic Course, Research Course, Advanced Course, Professional/Applied), If only basic courses are completed, If basic + intensive courses are completed
MajorIf only basic courses are completedIf basic + intensive courses are completed
Basic Course

  • 1-1AI-Centric World and SW Fundamentals

  • 1-1Introduction to IT and Terminology

  • 1-1Scratch Programming

  • 1-1Computer Programming Fundamental

  • 1-2C Programming Basic

  • 1-2Introduction of Physical_AI

  • 1-2Python Programming

Research Course

  • 2-1 Introduction to Data Analysis

  • 2-1 C Programming Application

  • 2-1 JAVA Programming

  • 2-1 Introduction to Convergence of IT and Engineering

  • 2-1 University Mathematics

  • 2-2 Introduction to Intelligent Programming Languages

  • 2-2 Block Chain

  • 2-2 Introduction Fundamental Concepts of Computer Science

  • 2-2 Introduction to Computer Science

  • 2-2 Operating System

  • 2-2 Software Engineering

  • -
  • -
  • -
  • -
  • -
  • -
  • -

  • 2-1 Introduction to Data Analysis

  • 2-1 C Programming Application

  • 2-1 JAVA Programming

  • 2-1 Introduction to Convergence of IT and Engineering

  • 2-1 Information Security Technology Fundamentals

  • 2-1 Introduction to Data Science

  • 2-1 System Analysis and Design

  • 2-2 Introduction to Intelligent Programming Languages

  • 2-2 Block Chain

  • 2-2 Python Application

  • 2-2 Practical Skills for AI Algorithm

  • 2-2 Introduction Fundamental Concepts of Computer Science

  • 2-2 Introduction to Computer Science

  • 2-2 SQL Programming

  • 2-2 Operating System

  • 2-2 Software Engineering

  • 2-2 C++ Language

  • 2-2 Web Service and Application

Advanced Course

  • 3-1 Data Base

  • 3-1 Algorithm Practice

  • 3-1 Practical AI-Based App & Web Development

  • 3-2 Database of Practice

  • 3-2 Machine Learning

  • 3-2 Data Structure Theory

  • 3-2 Artificial Intelligence

  • 3-1 Mobile App Development

  • -
  • -
  • -
  • -
  • -
  • -
  • -
  • -
  • -

  • 3-1 Data Base

  • 3-1 Blockchain Applications

  • 3-1 Algorithm Practice

  • 3-1 Computer Architecture

  • 3-1 Internet Based Technology

  • 3-1 System Security

  • 3-1 Information Processing Technology

  • 3-2 AI Data Engineering ('27 ~ )

  • 3-2 Database of Practice

  • 3-2 IT Project Management Methodology

  • 3-2 Utilizing Generative AI

  • 3-2 English for New Technology Engineering

  • 3-2 Data Structure Theory

  • 3-2 Artificial Intelligence

  • 3-2 JSP Programming

  • 3-2 Big Data and Enterprise Information Systems

  • 3-2 Machine Learning

Professional/Applied

  • 4-1 Software Project

  • 4-2 Cloud Computing

  • 4-2 Software Project

  • 4-2 The Internet of Things

  • -
  • -
  • -
  • -
  • -
  • -

  • 4-1 Deep Learning

  • 4-1 Understanding Linux Basic

  • 4-1 Windows Server

  • 4-1 AI Software Project

  • 4-2 Big Data Computing in Practice

  • 4-2 Cloud Computing

  • 4-2 Advanced Software Engineering

  • 4-2 AI Software Project

  • 4-2 Linux Network Server Administration

  • 4-2 The Internet of Things

  • Tel

  • Office Tel. +82-2-2290-0917