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한국교통대학교 웹사이트 입니다.

Major of Artificial Intelligence images
Major of Artificial Intelligence

The artificial intelligence department was established in 2022 with the aim of cultivating artificial intelligence talents through education that can apply artificial intelligence to transportation (railways, automobiles, next-generation transportation systems).

 

The artificial intelligence department aims to cultivate convergent talents who will lead the artificial intelligence field by running the 'Artificial Intelligence - Computer - Transportation' convergence curriculum in the fields of artificial intelligence, computer engineering, and transportation (railways, automobiles, next-generation transportation systems).

 

We are preparing for hands-on experience, imagining students who have grown into great talents in the fields of artificial intelligence and autonomous driving in our department.

    • Tel 031-460-0670
    • Fax 043-841-5480
Introduction

The artificial intelligence department was established in 2022 with the aim of cultivating artificial intelligence talents through education that can apply artificial intelligence to transportation (railways, automobiles, next-generation transportation systems).

 

The artificial intelligence department aims to cultivate convergent talents who will lead the artificial intelligence field by running the 'Artificial Intelligence - Computer - Transportation' convergence curriculum in the fields of artificial intelligence, computer engineering, and transportation (railways, automobiles, next-generation transportation systems).

 

Students majoring in artificial intelligence learn basic and computer engineering core subjects of artificial intelligence as a common course in the Department of AI and Data Engineering in the first and second grades. From the third grade, they will grow into an expert in AI transportation application through hands-on experience and transportation (railway, automobile, next-generation transportation system) based on core artificial intelligence technology.

Professor
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Professor
Major field
  • Tel 031-460-0584
  • Fax 031-462-8208
  • Email sscho@ut.ac.kr
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Professor
Major field
  • Tel 031-460-0585
  • Fax 031-462-208
  • Email leesw@ut.ac.kr
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Professor
Major field
  • Tel 031-460-0586
  • Fax 031-462-8208
  • Email sclee@ut.ac.kr
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Professor
Major field
  • Tel 031-460-0587
  • Fax 031-462-8208
  • Email seokmin.han@ut.ac.kr
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Professor
Major field
  • Tel 031-460-0582
  • Fax 043-462-8208
  • Email seonghwan.kim@ut.ac.kr
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Professor
Major field
  • Tel 031-460-0583
  • Email yongkim@ut.ac.kr
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Professor
Major field
  • Tel 031-460-0671
  • Email destin11@ut.ac.kr
Curriculum
게시물 검색
Curriculum table - No, Grade, Semester, Subject name, Credit and time, Explanation
No. Grade Semester Subject name Credit and time Explanation
54 1 1 Career Searching Seminar 1-1-0
53 1 1 Future society & resources 1-2-0
52 1 1 Practical English 2-2-0
51 1 1 Glocal human resources 1-2-0
50 1 1 Easy-to-know Railway System I 3-3-0
49 1 1 Artificial Intelligence and Data Science 3-3-0 Learn about artificial intelligence and data science, which are key technologies in the era of the 4th industrial revolution. In particular, it recognizes the importance of artificial intelligence and data science by learning the history of artificial intelligence challenges, core technologies of artificial intelligence, and applications of artificial intelligence, introducing data science, and learning big data applications. It also learns basic computer knowledge that is essential for understanding artificial intelligence and data science.
48 1 1 Fundamental Programming with Python 3-3-0 It cultivates the basic logical thinking necessary for computer programming, and develops the ability to develop in Python language by applying methodologies such as procedural programming, top-down design, and abstraction to solve a given problem.
47 1 1 Basic Computational Mathematics 3-3-0 By learning the basic courses of mathematics (functions, matrices, and calculus), which are mainly used in computer science, you learn mathematical concepts essential for learning theories in future majors such as probability statistics, artificial intelligence, and data science.
46 1 2 Elementary English Conversation 3-3-0
45 1 2 Communication through Writing and Presentation 3-3-0