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Academics

Division of AI Convergence

HALLYM UNIVERSITY

cultivating creative convergence talents through a successful education model in the data and AI-based new industry

Division of AI Convergence

Introduction
This major program aims at cultivating creative convergence talents through a successful education model in the “data and AI-based new industry”, which is a key focus of the national innovation growth strategy of the 4th Industrial Revolution, and to promote the university's vision of “Convergence, Localization, and Globalization”. In addition, we aim to cultivate talented people who lead global joint research activities and link regional strategic industries for development.

Based on a deep understanding of the present and future society in which we live, we cultivate experts who can solve the problems facing each industry and society as a problem solving tool related to AI. It is a major that fosters a global core leader that combines Korean creativity, independence and subjectivity, and can utilize advanced artificial intelligence technology within a rapidly changing the global economy. In addition, we intend to maximize our students' competency in this field by activating diversified education and research with companies and research institutes in various fields with expertise in artificial intelligence application.

Curriculum

Year Spring Semester Fall Semester
Subject Credit Subject Credit
1 Data Analysis and Visualization 3-2-2 Statistical Analysis and Application 3-2-2
Health Information Designs 3-3-0 Market Research Analysis 3-2-2
2 AI CodingⅠ 3-2-2 AI CodingⅡ 3-2-2
New Industry with Artificial Intelligence 3-3-0 Understanding AI Convergence 3-2-2
Text Data Mining 3-2-2 Applied Machine Learning 3-2-2
3 Deep Learning 3-3-0 Deep Learning in Medical Image Analysis 3-2-2
AI Convergence Challenge 3-3-0 Precision Medicine Convergence Challenge 3-2-2
AI Convergence Seminar I 3-2-2 AI Convergence Seminar II 3-2-2
4 Capstone Design in AI Convergence I 3-2-0 Capstone Design in AI Convergence II 3-2-2
Capstone Design in Healthcare Big Data 3-2-2 Capstone Design in Precision Medicine Big Data 3-2-2

Career Paths after Graduation

  • Data·AI-related industries such as Naver, Daum or other portals, Kakao, Samsung Electronics, telecommunications companies such as SKT or KT, AI specialized companies like Vuno or Lunet, worldly renowned companies such as Google, Amazon, Facebook, etc.

     
  • Developers at Intelligent industrial systems (smart factories, smart logistics warehouses, intelligent buildings, etc.)

     
  • Managers of IT infrastructure (cloud computing, databases, computer networks) at universities, hospitals, financial institutions, research institutes and various AI-related public institutions