College of AI Convergence

	__Contact Information Phone: +82-62-530-4202~4 Fax: +82-62-530-4209 E-mail: sigma72@jnu.ac.kr URL: http://cvg.jnu.ac.kr

■ School of Artificial Intelligence

⋅ Artificial Intelligence Major

⋅ Software Major

■ Dept. of Big Data Convergence

■ Dept. of Intelligent Mobility

■ Major in Robotics Engineering Convergence

■ Major in Future Energy Engineering Convergence

■ Major in Big Data Financial Engineering Convergence

■ Major in IoT Artificial Intelligence Convergence

■ Intelligent Mobility Convergence Engineering

	School of Artificial Intelligence	__Contact Information Phone: +82-62-530-4206 Fax: +82-62-530-4208 URL: http://aisw.jnu.ac.kr

■ What is School of Artificial Intelligence?

We aim to train intelligent software experts who can lead the future information society. Our students can development various intelligent applications with the knowledge of software engineering. Based on basic mathematical knowledge, the ability to develop intelligent software such as machine learning and deep learning is cultivated. The curriculum includes AI technologies which can be used in various application fields such as image processing and natural language processing. The goal is to nurture professional talents for software and artificial intelligence required throughout the industry.

■ Professors

∙Guee-sang Lee, Ph.D.

[Professor, gslee@jnu.ac.kr]

(Multimedia image processing)

∙Hyeong-seok Lim, Ph.D.

[Professor, hslim@jnu.ac.kr]

(Algorithm)

∙Deok-jai Choi, Ph.D.

[Professor, dchoi@jnu.ac.kr]

(Computer Network)

∙Soo-hyung Kim, Ph.D.

[Professor, shkim@jnu.ac.kr]

(Artificial intelligence)

∙Hyuk-ro Park, Ph.D.

[Professor, Information Retrieval,

hyukro@jnu.ac.kr]

∙Hyung-jeong Yang, Ph.D.

[Professor, hjyang@jnu.ac.kr]

(Application software)

∙Kyung-baek Kim, Ph.D.

[Professor, kyungbaekkim@jnu.ac.kr]

(Distributed Network System)

∙Kwang-hoon Choi, Ph.D.

[Professor, kwanghoon.choi@jnu.ac.kr]

(Programing Language & compiler)

∙Hie-yong Jeong, Ph.D.

[Professor, h.jeong@jnu.ac.kr

(Intelligence Robotics & Signal Processing)

∙Seok-bong, Yoo, Ph.D.

[Professor, sbyoo@jnu.ac.kr]

(Visual intelligence,Image and Video Processing)

∙Yeong-Jun Cho, Ph.D.

[Professor, yj.cho@jnu.ac.kr]

(computer vision)

∙Seung-Won Kim, Ph.D.

[Professor, Seungwon.Kim@jnu.ac.kr]

(AR/VR)

∙Tae-June Park, Ph.D.

[Professor, taejune.park@jnu.ac.kr]

(Information Security/Network)

■ Degree Requirements

Students are required to earn 140 credits, normally over a period of 4 years (8 semesters).

■ What Do You Study?

Artificial Intelligence Major

▮ Core Courses

Introduction to Economics

Computational Thinking for Engineering

Writing in the Natural Sciences and Engineering

Mathematics 1

Technology and Entrepreneurship

Introduction to Statistics and Practice

▮ Electives

Introduction to Engineering Design

Engineering Mathematics 1

Logic Circuits

Discrete Mathematics

C Programming and Practice

Data Communication

Linear Algebra

Web Programing and Practice

Computer System Architecture

Probability and Statistics

Introduction to Data Science

Software System Design

System Programming

Opensource Software

Computer Networks

Linux System

Mobile Application Software

Operating System

AI-System

IoT System

Data Base Systems

Parallel Programming

Compilers

Introduction to Data Mining

Deep Learning

Industry-University Cooperation Project (Capstone Design)

Image Understanding

Knowledge Representation and Reasoning

Robot Operating System

Signals and System

Natural Language Processing

Computer vision

Reinforcement learning

Introduction to Information Retrieval Systems

Speech Recognition

Service Robot

Introduction to Probabilistic Graphical Model

▮ Minor Courses

JAVA Programing and Practice

Algorithms

Artificial Intelligence

Data Structures

Artificial Intelligence Capstone Design

Software Major

▮ Core Courses

Introduction to Economics

Computational Thinking for Engineering

Writing in the Natural Sciences and Engineering

Mathematics 1

Technology and Entrepreneurship

Introduction to Statistics and Practice

▮ Electives

Introduction to Engineering Design

Discrete Mathematics

Logic Circuits

Engineering Mathematics 1

C Programming and Practice

Probability and Statistics

Computer System Architecture

Web Programing and Practice

Linear Algebra

Data Communication

Computer Networks

Artificial Intelligence

Opensource Software

System Programming

Software System Design

Introduction to Data Science

Theory of Programming Languages

Embedded Software

Operating System

Software Engineering

Mobile Application Software

Linux System

Computer Graphics

Compilers

Parallel Programming

Data Base Systems

C++ Programing and Practiece

Industry-University Cooperation Project (Capstone Design)

Software Reverse Engneering

Intelligence Human Computer Interface

Cloud Computing

Information Security

Distributed Systems

Advanced Algorithms

Game Software

Introduction to Computer Simulation

Image Processing

Software Verification

Blockchain Applications

Theory of Computation

Virtual Reality

▮ Minor Courses

JAVA Programing and Practice

Algorithms

Data Structures

Artificial Intelligence

Software Capstone Design

	Department of Big Data Convergence	__Contact Information Phone: +82-62-530-3440 Fax: +82-62-530-3449 URL: http://bigdata.jnu.ac.kr

■ What is Dept. of Big Data Convergence?

Students learn breadth of knowledge that data scientists should have: (1) learn how to handle and how to analyse big data (2) learn to understand complex problem in the context of Big Data (3) learn to predict statistical model beforehand and to provide corresponding solution.

■ Professors

∙MinSoo Kim, Ph.D.

[Professor, Multivariate Analysis, Image

Partition or Searching, Financial Statistics.

kimms@jnu.ac.kr]

∙Hong-Sung Jin, Ph.D.

[Professor, Applied Mathematics,

hjin@jnu.ac.kr]

(Uniform Superconvergence Wavelets)

∙Min-Kyu Kwak, Ph.D.

[Professor, Analysis, mkkwak@jnu.ac.kr]

(Partial Differential Equations,

Ordinary Differential Equations,

Dynamical Systems)

∙Byeong-Chun Shin, Ph.D.

[Professor, Applied Mathematics,

bcshin@jnu.ac.kr] (Numerical Analysis)

∙JangSun Baek, Ph.D.

[Professor, Nonparametric Function Estimation,

Multivariate Analysis, Bioinformatics,

jbaek@jnu.ac.kr]

∙IlSu Choi, Ph.D.

[Professor, Bayesian Statistics (MCMC),

Mathematical Biology, Environmental Ecology Statistics,

ichoi@jnu.ac.kr]

∙Jaesik Jeong, Ph.D.

[Associate Professor, Bioinformatics (Metabolomics, Genomics), Biostatistics (clinical trials), Bayesian analysis,

jjs3098@jnu.ac.kr]

∙BongGyun Ko, Ph.D.

[Assistant Professor, interpretative public intelligence,

bonggyun.ko@jnu.ac.kr]

∙Jeong-Gyu Huh, Ph.D.

[Assistant Professor, huhjeonggyu@jnu.ac.kr]

Machine-learning-based financial engineering

∙Hyun-Cheul Lim, Ph.D.

[Assistant Professor, Financial Mathematics,

limhc@jnu.ac.kr]

■ Degree Requirements

Students are required to earn 130 credits, normally over a period of 4 years (8 semesters).

■ What Do You Study?

▮ General Education Core Courses

Writing

English for Global Communication 2

Introduction to Statistics and Practice

Scientific Investigation of Big Data

Career design and self-understanding

Year 1 Courses

▮ Core Courses

Introduction to Programming

▮ Electives

Statistical Mathematics 1

Statistical Mathematics 2

Linux System

Year 2 Courses

▮ Core Courses

Machine Learning Introduction

Mathematical Statistics 1

Mathematical Statistics 2

▮ Electives

Data Science Computing

C Programing and Lab.

Financial derivatives Modeling

Big Data programming and practice

Deep Learning Principles and Exercises

Biomedical Big Data analysis

Data Structure and Algorithms

Statistical Computation and Practice

Year 3 Courses

▮ Core Courses

Big Data and Deep Learning
Big Data Process

▮ Electives

Financial Mathematics

Database System

Regression Analysis and Lab

Bayesian statistics and Practice

Financial Statistics and Practice

Image Analysis

Natural language Process

Biomedical Big Data Modeling

Introduction to AI Investment

Parallel Programming

Multiplicate Statistical Analysis

Year 4 Courses

▮ Electives

Reinforcement Learning System

Industrial Data Analysis

C++ Programing and Lab.

Time Series Analysis and Lab

Markup Model

Probability and Stochastic Process

Big data Capstone design

Minor Courses

Mathematical Statistics 1

Mathematical Statistics 2

Regression Analysis and Lab

	Dept. of Intelligent Mobility	__Contact Information Phone: +82-62-530-4205 Fax: +82-62-530-4208 URL: http://cvg.jnu.ac.kr

■ What is Dept. of Intelligent Mobility ?

Intelligent mobility, the core of the 4th industrial revolution, refers to futuristic vehicles and transportation means, which incorporates multidisciplinary subjects from mechanical, electrical, computer science, and material engineering. Eco-friendly vehicles, autonomous driving, smart communication and security, sensors and control are the main core of this interdisciplinary department, as well as fundamental vehicle and mobility dynamics.

The goal of this program is to educate students for future vehicles and mobility by strengthening basic core theories and comprehensive design subjects. The program is aiming to increase students’ R&D and design capabilities and the field adaptability by implementing advanced curriculum and operating field-tailored experiments.

In addition, this department is participating in the Gwangju BitGreen Industry-university joint research program which provides the unique, creative, and industry-oriented education and research opportunities for students to be prepared for the related fields.

■ Professors

∙Gyuhae Park, Ph.D.

[Professor, Smart Material/sensor/actuator,

gpark@jnu.ac.kr]

∙Chunhwan Lee, Ph.D.

[Professor, Control

Powertrain System Control& Vehicle

Dynamic Modeling & chunhwan@jnu.ac.kr]

∙Lee, Wonoh, Ph.D.

[Associate Professor, Composite Materials /  Mechanics of Inelastic Materials,

∙Woohyun kim, Ph.D.
[Assistant Professor, Modeling, analysis
and control of thermal systems,

∙Moon, Chang-bae, Ph.D.

[Assistant Professor, Mobile Robot /

Autonomous Vehicle, cbmoon@jnu.ac.kr]

∙Byung-Chul Choi, Ph.D.

[Professor, Combustion Engineering,

Technology for Engine After-treatment,

bcchoi @jnu.ac.kr]

∙Hyun Wook Kang, Ph.D.

[Associate Professor, Micro Fluidics, Nano

Technology and System

kanghw@jnu.ac.kr]

∙Jinsoo Park, Ph.D.

[Assistant Professor, Microfluidics /
Flow Visualization, jinsoopark@jnu.ac.kr]

∙Jaehyung Park, Ph.D.

[Professor, Network Technology,

∙Myoungjin Lee, Ph.D.

[Professor, Semiconductor device & Circuit design, mjlee@jnu.ac.kr]

∙Sungjune Baek, Ph.D.

[Professor, Digital Signal Processing,

∙Lee, Joon-Woong, Ph.D.

[Professor, Computer Vision &

Software Development for Autonomous Vehicles,

joonlee@jnu.ac.kr]

∙Kyeong-Hwan Lee, Ph.D.

[Associate Professor, Sensors and Intelligent Biosystems, khlee@jnu.ac.kr]

∙Kim, Chansoo, Ph.D.

[Assistant Professor, Autonomous driving,

chansoo.kim@jnu.ac.kr]

∙Seol, Seoung-Yun, Ph.D.

[Professor, Thermal fluid system,

syseol@jnu.ac.kr]

∙Kang, Bo-Seon, Ph.D.

[Professor, Fluid dynamics,

bskang@jnu.ac.kr]

∙Yang, Young-Soo, Ph.D.

[Professor, Laser material processing,

ysyang@jnu.ac.kr]

∙Hong, Soonwook, Ph.D.

[Assistant Professor, Laser physics,

ysyang@jnu.ac.kr]

∙Han, Seunghwoi, Ph.D.

[Assistant Professor, Laser physics,,

ysyang@jnu.ac.kr]

■ Degree Requirements

The undergraduate programs are designed to help students develop the capability needed to meet the challenges of the modern technological society in Dept. of Intelligent Mobility  Students are required to complete at least 140 credit hours which normally takes four years of full-time study. Students are also able to enrolled in double majors or minors as a means of broadening the scope of their studies.

■ What Do You Study?

▮ Core Courses

Mathematics 1

Mathematics 2

General Physics 1

General Physics 2

▮ Required Courses

Introduction to Engineering Design

Elementary Automotive Engineering Lab

Mobility PBL

Automotive Engineering Seminar1

Applied Automotive Engineering Lab

Mobility Capstone Design1

Mobility Capstone Design2

▮ Electives

Mechanical drawing

Circuit Theory 1

Introduction to Automotive Engineering

Basics of computer programming

Solid mechanics

Engineering Mathematics 1

Dynamics

Thermodynamics

computing system

Introduction of Electricity and Electronics

Engineering Mathematics 2

Microprocessor Basic

Numerical Analysis

Renewable Energy

Signals and System Engineering

Fluid Mechanics

Introduction To Automobile

Electronic Circuit

Mechanical Design

Design of Microprocessor Applications

Heat Transfer

Power Electronics

Control Engineering

Mechanical Vibrations

CAD/CAM with Practice

Combustion and energy conversion engineering

Embeded System

Vehicle Electronics System and Control

Intelligent Vehicle

Vehicle Dynamics

Automotive sensors and measruement engineering

Vehicle

Driving and braking system

Finite Element Method

Artificial Intelligence

Automotive Engineering Seminar 2

Electric Vehicle Technology

Automotive Production Engineering

Vehicle signal and image processing

Introduction to Smart Mobility

Welding Engineering

Introduction to Automotive Design

Introduction to autonomous driving

	Major in Robotics Engineering Convergence	__Contact Information Phone: +82-62-530-4205 Fax: +82-62-530-4208 URL: http://cvg.jnu.ac.kr

■ What is Major in Robotics Engineering Convergence?

The Major in Robotics Engineering Convergence aims for fostering talent to apply robotics, the leading technology of the 4th industrial revolution, to future industries and life where a new paradigm is required and to answer various engineering problems.

The Major in Robotics Engineering Convergence offers students a multidisciplinary education, allowing them to develop convergent systems by learning the fundamentals of robotics such as mechanical, electrical, electronic, and computer systems, and non-engineering disciplines such as design, marketing, and cultural contents.

■ Professors

∙Seong-Yong Ko, Ph.D.

[Professor, Medical Robotics,

Service Robotics, sko@jnu.ac.kr]

∙Doyeon Bang, Ph.D.

[Associate Professor, Soft Robotics, 4D Printing,

∙Chang-Sei Kim, Ph.D.

[Assistant Professor, Dynamics and Control, Biomedical System, ckim@jnu.ac.kr]

∙Moon, Chang-bae, Ph.D.

[Assistant Professor, Mobile Robot
/ Autonomous Vehicle, cbmoon@jnu.ac.kr]

∙Byungjeon Kang, ph.D

[Associate Professor, Microrobot and

Micromanipulation for biomedical applications,    bjkang8204@jnu.ac.kr]

∙Eunpyo Choi, Ph.D.

[Assistant Professor, Medical micro/nano robotics,

eunpyochoi@jnu.ac.kr]

∙Lee, Jae Yeol, Ph.D.

[Professor, HCI Design,

jaeyeol@jnu.ac.kr]

∙Hyoung Il Son, Ph.D.

[Associate Professor, Human-Centered Robotics

and Automation, hison@jnu.ac.kr]

∙Ayoung Hong, Ph.D.

[Associate Professor, Autonomous Intelligent Robotics, ahong@jnu.ac.kr]

■ Degree Requirements

Students are required to earn 130 credits, normally over a period of 4 years (8 semesters).

■ What Do You Study?

▮ Core Courses

Writing in the Natural Sciences and Engineering

College Physics 1

English for Global Communication 1

C Programming

▮ Electives

Mechanical drawing

Kinematics of Mechanisms

Logic Circuits

C Programming & Practice

Object-Oriented Programming

Engineering Mathematics 2

Measurement Engineering

Machine Learning

Biosystems Modeling and Practice

Mechanical Vibrations

Computer Graphics

Robotics Practice 1

Mechatronics Application

Biosystems Robotics

Intelligent Vehicle

Human Interface Engineering

Digital Design and Applications

Robotics Practice 2

Microprocessor Basic

Biosystem Measurements

Microrobot

Service Robotics

Introduction to MEMS (MicroElectroMechanical Systems)

▮ Minor Courses

Applied Calculus

Introduction of Electricity and Electronics

Dynamics

System Dynamics and Signal Processing

Control Engineering

Robot Engineering

	Major in Future Energy Engineering Convergence	__Contact Information Phone: +82-62-530-4205 Fax: +82-62-530-4208 URL: http://cvg.jnu.ac.kr

■ What is Major in Future Energy Engineering Convergence?

As directly linked to the survival of humankind, future energy is one of the most important issues in the 21st century. Since the future energy industry evolves from the facility-centered to the knowledge-based industry, the Major in Future Energy Engineering Convergence fosters talent to lead industrial sites where the convergence between disciplines rapidly proceeds.

The Major in Future Energy Engineering Convergence aims for answering field problems beyond basic studies, broadening its horizons into practical energy and in-depth technology studies, and exploring global energy technologies encompassing different disciplines and regions.

■ Professors

∙Sung-Yong Cho, Ph.D.

[Professor, Eco-Energy and Air Pollution  Engineering,

syc@jnu.ac.kr]

∙Ho-Young Jung, Ph.D.

[Associate Professor, Environmental Energy Materials,

jungho@jnu.ac.kr]

∙Seung-Shik Park, Ph.D.

[Professor, Air Quality Management,

park8162@jnu.ac.kr]

∙Sung-June Cho, Ph.D.

[Professor, Production and

Storage of Methane and Hydrogen,

sjcho@jnu.ac.kr]

∙Chang-Hyun Ko, Ph.D.

[Professor, Synthesis and Catalytic,

Application of Inorganic Materials,

chko@jnu.ac.kr]

∙Young-Si Jun, Ph.D.

[Assistant Professor, Photocatalysis,

Polymer semiconductors

∙Seung-Hoon Han, Ph.D.

[Professor, Architectural Planning & Design,

hshoon@jnu.ac.kr]

∙Uk Sim, Ph.D.

[Synthesis and characterization of multi-functional low-dimensional nanostructured materials, usim@jnu.ac.kr]

∙Sang-Yun Yun, Ph.D.

[Associate Professor, Power System,

drk9034@jnu.ac.kr]

∙Dong-Hee Kim, Ph.D.

[Assistant Professor, Energy Mechatronics,

kimdonghee@jnu.ac.kr]

∙In-Ho Park, LL.M.

[Associate Prof. Commercial Law,

ihpark12@jnu.ac.kr]

∙Eun-Hee Kim, Ph.D

[Associate Professor, Technology

Management, eheekim@jnu.ac.kr]

■ Degree Requirements

Students are required to earn 130 credits, normally over a period of 4 years (8 semesters).

■ What Do You Study?

▮ Core Courses

Understanding of Science History

English for Global Communication 1

General Physics 1

General Chemistry 1

▮ Electives

Crystal Structures and Defects

Renewable Energy

Energy Science and Technology

Organic Chemistry 1

Materials Science

MATLAB Programing

Chemical Process Calculation 2

Physical Chemistry 2

Organic Chemistry 2

Environmental Reaction and Design Engineering

Introduction to IT Convergence Engineering

Solid State Chemistry

Coping Engineering with Air Pollution and Climate Change

Design of Combustion Facilities

Electrochemistry

Chemistry of Interface

Inorganic Materials

Energy Storage System Engineering

Convergence Materials Testing

Electrical Energy Storage Systems

Management of Technology and Innovation

Special lectures of industries, institutes and schools for future energy 1

Recent technical trends in Smart Grid

Environmental Electrochemistry

Technology Management

Special lectures of industries, institutes and schools for future energy 2

Power Distribution System Engineering

Energy Materials

Materials Electrochemistry

Power System Operation Practice

▮ Minor Courses

Chemical Process Calculation 1

Physical Chemistry 1

The next-generation electricity system engineering 1

The next-generation electricity system engineering 2

Smart Power System Engineering1

Environmental Energy Engineering and Practice

	Major in Bigdata Financial Engineering Convergence	__Contact Information Phone: +82-62-530-4206 Fax: +82-62-530-4208 URL: http://cvg.jnu.ac.kr

■ What is Major in Bigdata Financial Engineering Convergence?

Students learn breadth of knowledge that data scientists should have: (1) learn how to handle and how to analyse financial bigdata (2) learn to understand complex financial problem in the context of financial engineering (3) learn how to solve the complex problem (4) learn to predict contemporary financial risk beforehand and to provide corresponding solution.

■ Professors

∙JangSun Baek, Ph.D.

[Professor, Nonparametric Function Estimation,

Multivariate Analysis, Bioinformatics,

jbaek@jnu.ac.kr]

∙IlSu Choi, Ph.D.

[Professor, Bayesian Statistics (MCMC),

Mathematical Biology, Environmental Ecology Statistics,

ichoi@jnu.ac.kr]

∙MinSoo Kim, Ph.D.

[Professor, Multivariate Analysis, Image

Partition or Searching, Financial Statistics.

kimms@jnu.ac.kr]

∙Jaesik Jeong, Ph.D.

[Associate Professor, Bioinformatics (Metabolomics, Genomics), Biostatistics (clinical trials), Bayesian analysis,

jjs3098@jnu.ac.kr]

∙BongGyun Ko, Ph.D.

[Assistant Professor, interpretative public intelligence,

bonggyun.ko@jnu.ac.kr]

∙Min-Kyu Kwak, Ph.D.

[Professor, Analysis, mkkwak@jnu.ac.kr]

(Partial Differential Equations,

Ordinary Differential Equations,

Dynamical Systems)

∙Byeong-Chun Shin, Ph.D.

[Professor, Applied Mathematics,

bcshin@jnu.ac.kr]

(Numerical Analysis)

∙Hong-Sung Jin, Ph.D.

[Professor, Applied Mathematics,

hjin@jnu.ac.kr]

(Uniform Superconvergence Wavelets)

∙Hyun-Ho Kim, Ph.D.

[Professor, Industrial Organization,

hyunkim@jnu.ac.kr]

∙Hyun-Cheul Lim, Ph.D.

[Assistant Professor, Financial Mathematics,

limhc@jnu.ac.kr]

∙Jeong-Gyu Huh, Ph.D.

[Assistant Professor, Machine-learning-based financial engineering, huhjeonggyu@jnu.ac.kr]

■ Degree Requirements

Students are required to earn 130 credits, normally over a period of 4 years (8 semesters).

■ What Do You Study?

▮ Core Courses

Scientific thinking with big data

Understanding of Practical Finance

Introduction to Statistics and Practice

▮ Electives

Management Information and Big Data

Financial Statistics and Practice

Financial Mathematics for beginner

Bigdata programming and practice

Exploratory Data Analysis

C Programming & Practice

JAVA Programing and Lab.

Econometrics

Quantitative Analysis for beginning

Big Data Process and Lab

Money and Banking

C++ Programing and Lab.

Finance and Banking Economics

Financial Derivatives Modeling

Data Base Systems

Bigdata Financial Modeling 1

Regression Analysis and Lab.

International Finance

International Finance Management

Financial Market Analysis

Machine Learning Introduction

Multiplicate Statistical Analysis and Lab.

Data Mining and Lab.

Digital Economics

Economics of Insurance

Insurance

Bigdata Financial Modeling 2

Big Data Analysis and Lab

Big Data Statistical Analysis

Web Programing and Lab.

Advanced Artificial Intelligence

Financial Institution Management

Financial practice

Finance Programming

Deep Learning Principles and Exercises

Big data Capstone design

Time Series Analysis and Lab.

Market risk management

Artificial Intelligence

Exploratory Bigdata Analysis

Financial Practice Capstone Design

Credit risk management

Stock Market Statistical Analysis

Options, Futures, And Other Derivatives

▮ Minor Courses

Macroeconomic Theory

Microeconomic Theory

Mathematical Statistics 1

Mathematical Statistics 2

Financial Management

Investment Theory

Investment Theory

	Major in IoT Artificial Intelligence Convergence	__Contact Information Phone: +82-62-530-4206 Fax: +82-62-530-4208 URL: http://cvg.jnu.ac.kr

■ What is Major in IoT Artificial Intelligence Convergence?

For the purpose of training students as AI convergence talents, this major provides the fundamentals of Artificial Intelligence(AI) in the era of the fourth industrial revolution such as Deep learning and the applied AI technologies specialized for various industries including Internet of Things (IoT).

■ Professors

∙Soohyung Kim, Ph.D.

[Professor, shkim@jnu.ac.kr]

(Artificial intelligence)

∙Hyungjeong Yang, Ph.D.

[Professor, hjyang@jnu.ac.kr]

(Application software)

∙Kyungbaek Kim, Ph.D.

[Professor, kyungbaekkim@jnu.ac.kr]

(Distributed Network System)

∙DongHan Ham, Ph.D.

[Professor, dhham@jnu.ac.kr]

(Knowledge Service Engineering & Human

Computer Interaction)

∙Kwanghoon Choi, Ph.D.

[Professor, kwanghoon.choi@jnu.ac.kr]

(Programing Language & compiler)

∙Hieyong Jeong, Ph.D.

[Professor, h.jeong@jnu.ac.kr

(Intelligence Robotics & Signal Processing)

∙SunYong Yoo, Ph.D.

[Professor, intelligence information system,

syyoo@jnu.ac.kr]

∙HyunDuck Choi, Ph.D.

[Professor, Next Generation Intelligent Control,

ducky.choi@jnu.ac.kr]

∙Seokbong, Yoo, Ph.D.

[Professor, sbyoo@jnu.ac.kr]

(Visual intelligence, Image and Video Processing)

∙YeongJun Cho, Ph.D.

[Professor, yj.cho@jnu.ac.kr]

(computer vision)

∙MyungHwan Na, Ph.D.

[Professor, nmh@chonnam.ac.kr]

(Artificial Intelligence Bigdata Analysis)

∙SeulGi Joung, Ph.D.

[professor, sgjoung@jnu.ac.kr]

(Optimization under uncertainty & Applications of OR)

∙SeungWon Kim, Ph.D.

[Professor, Seungwon.Kim@jnu.ac.kr]

(AR/VR)

∙TaeJune Park, Ph.D.

[Professor, taejune.park@jnu.ac.kr]

(Information Security/Network)

■ Degree Requirements

Students are required to earn 130 credits, normally over a period of 4 years (8 semesters).

■ What Do You Study?

▮ Core Courses

Computational Thinking for Engineering

Intellectual Property Right

Introduction to Statistics and Practice

▮ Electives

Linux System

Discrete Mathematics

Artificial Intelligence based projects

Artificial Intelligence Mathematics 1

JAVA Programing and Lab.

Seminar1

Artificial Intelligence design project

Artificial Intelligence Mathematics 2

Information Systems Analysis and Design

C++ Programing and Lab.

Data Base Systems

Design Engineering

Problem Solving Project

Seminar2

Operating System

Network Programming

Big Data Statistical Analysis

Algorithms

Web Programing and Lab.

Cognitive science and system

IoT Stream Data Analysis

Advanced Artificial Intelligence

Digital Image Processing

Deep Learning Principles and Exercises

Computer & Networks Security

IoT Case Study

Mobile Application Software

Smart Grid

Pattern Recognition

Field Practice

▮ Minor Courses

C Programming & Practice

Open Source SW Development Theory

Data Structures

Theory of Software Engineering

Machine Learning Introduction

Artificial Intelligence Convergence Project(Capstone Design)

	Intelligent Mobility Convergence Engineering	__Contact Information Phone: +82-62-530-4205 Fax: +82-62-530-4208 URL: http://cvg.jnu.ac.kr

■ What is Major in Intelligent Mobility Convergence Engineering?

Intelligent mobility, the core of the 4th industrial revolution, refers to automobiles and transportation means incorporating artificial intelligence. Eco-friendly vehicles are developing into high-efficiency and smart automobiles. For this purpose, eco-friendly powertrain and functional composite materials, electronic, Exploring not only the core of computer and electrical engineering, but also convergence disciplines widely related to engineering

■ Professors

∙Chunhwan Lee, Ph.D.

[Professor, Control

Powertrain System Control& Vehicle

Dynamic Modeling & chunhwan@jnu.ac.kr]

∙Gyuhae Park, Ph.D.

[Professor, Smart Material/sensor/actuator,

gpark@jnu.ac.kr]

∙Lee, Wonoh, Ph.D.

[Associate Professor, Composite Materials /  Mechanics of Inelastic Materials]

∙Su Han Park, Ph.D.

[Associate Professor, Alternative Energy Vehicle

/Spray Atomization]

∙Woohyun kim, Ph.D.
[Assistant Professor, Modeling, analysis
and control of thermal systems]

∙Moon, Chang-bae, Ph.D.

[Assistant Professor, Mobile Robot
/ Autonomous Vehicle, cbmoon@jnu.ac.kr]

∙Byung-Chul Choi, Ph.D.

[Professor, Combustion Engineering,

Technology for Engine After-treatment,

bcchoi @jnu.ac.kr]

∙Hyun Wook Kang, Ph.D.

[Associate Professor, Micro Fluidics, Nano

Technology and System, kanghw@jnu.ac.kr]

∙Jinsoo Park, Ph.D.

[Assistant Professor, Microfluidics / Flow Visualization,
jinsoopark@jnu.ac.kr]

∙Jaehyung Park, Ph.D.

[Professor, Network Technology]

∙Myoungjin Lee, Ph.D.

[Professor, Semiconductor device & Circuit     design, mjlee@jnu.ac.kr]

∙Sungjune Baek, Ph.D.

[Professor, Digital Signal Processing]

∙Lee, Joon-Woong, Ph.D.

[Professor, Computer Vision &

Software Development for Autonomous Vehicles,

joonlee@jnu.ac.kr]

∙Kyeong-Hwan Lee, Ph.D.

[Associate Professor, Sensors and Intelligent    Biosystems, khlee@jnu.ac.kr]

■ Degree Requirements

Students are required to earn 130 credits, normally over a period of 4 years (8 semesters).

■ What Do You Study?

▮ Core Courses

General Physics 1

C Programming

▮ Electives

Thermodynamics

Circuit Theory 1

Engineering Mathematics 1

Basics of computer programming

Renewable Energy

Solid Mechanics

Fluid Mechanics

Signals and System Engineering

Electronic Circuit 1

Application of C Programming

Dynamics

Numerical Analysis

Precision Agricultural Engineering

Control Engineering

Computing Algorithm

Measurement Engineering

Fuel and Combustion Engineering

Heat Transfer

System Dynamics and Signal Processing

Smart Automobile & IoT

Mechanical Vibrations

Advanced Computer Programming & Practice

Digital Image Processing

Mobile Communication System

Artificial intelligence and applications

Internal Combustion Engine

Intelligent Vehicle

Agricultural Mobility System

Embeded System

Automotive Multimedia System

Air Conditioning and Refrigeration

Environment-Friendly Vehicles

Vehicle Dynamics and Control

Intelligence Vehicle Networks

Smart Vehicle System

Product development engineering

Hydraulic Engineering

Fuel Cell Vehicles

Automotive and Environmental Engineering

▮ Minor Courses

Introduction of electricity and electronics

Introduction to Automotive Engineering

Introduction To Automobile

Artificial Intelligence

Project Lab 1

Project Lab 2