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Department of Artificial Intelligence

Department of Artificial Intelligence

The Department of Artificial Intelligence is dedicated to fortifying academic knowledge and technical skills in artificial intelligence, which is rapidly developing and gaining attention in modern society. Artificial intelligence is a core major that fosters human resources needed for the future era of AI, and the department provides students with fundamental theories and field experiences to cultivate the ability to cope with various challenges in modern society. The department provides students with systematic and in-depth education based on a deep understanding of basic disciplines such as computer science, mathematics, and statistics. In our department, students learn core concepts and skills in areas such as machine learning, deep learning, natural language processing, and robotics. In addition to theoretical knowledge, students develop problem-solving skills through real-world application projects and acquire technical competencies required by the industry. In addition, students can enhance their practical skills through various experiences such as cooperative projects with industrial companies, artificial intelligence competitions, and participation in international academic conferences.

tel. +82-2-6490-2470

  • 1483
    Jiyoung JUNG Professor
    • Computer Vision
    • Changgong Building, #424
    • +82-2-6490-2475
    • jyjung@uos.ac.kr
  • 1504
    Youngmin RO Professor
    • Computer Vision, Deep Learning
    • Changgong Building, #423
    • +82-2-6490-2476
    • youngmin.ro@uos.ac.kr
  • 1551
    Joungyoun KIM Professor
    • Healthcare Big Data, Computational & Bayesian Statistics
    • Changgong Building #422
    • +82-2-6490-2477
    • joungyoun@uos.ac.kr
  • 1661
    Wonseok HWANG Professor
    • Natural Language Processing, Legal AI
    • Changgong Building, #421
    • +82-2-6490-2478
    • wonseok.hwang@uos.ac.kr
  • 1665
    Sang Ki KO Professor
    • Theory of Computation, Algorithms, AI for Program Analysis, Sports Data Analytics
    • Changgong Building, #217
    • +82-2-6490-2479
    • sangkiko@uos.ac.kr
  • 1738
    Hyeong Boo BAEK Professor
    • Real-time Systems, Computer Vision
    • Changgong Building, #326
    • +82-2-6490-2474
    • hbbaek@uos.ac.kr
  • 1309
    Jaeho LEE Professor
    • Artificial Intelligence, Agent-Based Systems, Artificial Intelligence
    • Information and Technology Building, #505
    • +82-2-6490-2334
    • jaeho@uos.ac.kr
  • 1308
    Byung Jeong LEE Professor
    • Software Engineering, Web Service Technology, Software Evolution
    • Information and Technology Building, #307
    • +82-2-6490-2451
    • bjlee@uos.ac.kr
  • 1307
    Ha Jin YU Professor
    • Artificial Intelligence, Speech Recognition
    • Information and Technology Building, #306
    • +82-2-6490-2448
    • hjyu@uos.ac.kr
  • 1305
    Han Joon KIM Professor
    • Data Mining, Database, Information Extraction, Machine Learning
    • Information and Technology Building, #408
    • +82-2-6490-2339
    • khj@uos.ac.kr
  • 1312
    Heasoo HWANG Professor
    • Big Data Analysis and Information Retrieval
    • Information and Technology Building, #308
    • +82-2-6490-2454
    • hwang@uos.ac.kr
  • 1311
    Hosik Choi Professor
    • Machine Learning and Knowledge Processing
    • Law School, #606
    • +82-2-6490-5081
    • choi.hosik@uos.ac.kr
Degree Requirements
Courses Credits
*General
Studies
(required)
Total: 16
credits
Technical Writing For Science And Technology 2
Critical Thinking and Discussion with Classics 2
College English(W) 2
College English(S) 2
Calculus Ⅰ 3
Calculus II 3
UOS Future Design 1
UOS Career Design 1
General
Studies
(elective)
Total: 16
credits
Engineering Grounding 8
*Elementary Major Course Study
*Physics Experiment 1,2
8
Major
Courses
Required 24
Elective 48
Other


24
Total


130
Course List
Course
Number
Course Title School Year Semester Credit Lecture
(hours)
Practice
(hours)
20003 STUDY-PLANNING COUNSELINGⅠ Freshmen Spring S/U 1 0
20004 STUDY-PLANNING COUNSELINGⅡ Fall S/U 1 0
20040 Computational Thinking and SW Coding Spring 3 3 0
20048 Introduction to Statistics Spring 3 2 2
20005 Problem Solving and Algorithm Fall 3 3 0
20006 Discrete Mathematics with Applications Sophomore Spring 3 3 0
20007 Programming Basics and Practice Spring 3 2 2
20008 Probability and Random Processes Spring 3 3 0
20010 Algorithm Spring&Fall 3 3 0
20011 Knowledge Representation and Reasoning Fall 3 3 0
20012 Machine Learning Fall 3 2 2
20013 Linear Algebra with Applications Fall 3 3 0
20014 Understanding and Leveraging Databases Fall 3 3 0
20045 Statistical Methods for Data Science Fall 3 3 0
20046 Statistical Inference Fall 3 0 0
20009 Computer Systems Junior Spring 3 0 0
20015 Deep Learning Spring 3 3 0
20016 Data Mining Spring 3 3 0
20017 Advanced Data Analysis Spring 3 3 0
20018 Intelligent Robots Fall 3 3 0
20019 Intelligent Human Computer Interaction Fall 3 3 0
20020 AI-based Software Engineering Fall 3 3 0
20021 Pattern Recognition Fall 3 3 0
20041 Reinforcement Learning Fall 3 3 0
20049 Programming Languages Spring 3 3 0
20023 Artificial Intelligence Systems Senior Fall 3 2 2
20024 Capstone Design 1 Spring 3 2 2
20025 The Ethics of Artificial Intelligence Spring&Fall 3 3 0
20026 Natural Language Processing Fall 3 3 0
20027 Artificial Intelligence Living Lab Fall 3 2 2
20042 Speech Recognition Spring 3 0 0
20043 Introduction to Information Theory Spring 3 3 0
20047 Introduction to Computer Vision Spring 3 0 0
20050 Analysis of Medical Big Data Spring 3 3 0
20028 Capstone Design2 Fall 3 2 2