College of AI Convergence

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

■ Major in Robotics Engineering Convergence

■ Major in Future Energy Engineering Convergence

■ Major in Bigdata Financial Engineering Convergence

■ Major in IoT Artificial Intelligence Convergence

	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

∙Jong-Oh Park, Ph.D.

[Professor, Service Robotics, Micro/Nano Robotics,

jop@jnu.ac.kr]

∙Chang-Sei Kim, Ph.D.

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

∙Seong-Yong Ko, Ph.D.

[Associate Professor, Medical Robotics,

Service Robotics, sko@jnu.ac.kr]

∙Moon, Chang-bae, Ph.D.

[Assistant Professor, Mobile Robot
/ Autonomous Vehicle, cbmoon@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, Human-Centered Robotics

and Automation,

hison@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

∙Jaesik Jeong, Ph.D.

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

jjs3098@jnu.ac.kr]

∙MinSoo Kim, Ph.D.

[Professor, Multivariate Analysis, Image

Partition or Searching, Financial Statistics.

kimms@jnu.ac.kr]

∙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]

∙BongGyun Ko, Ph.D.

[Assistant Professor, interpretative public intelligence,

bonggyun.ko@jnu.ac.kr]

∙SungHo Choi, Ph.D.

[Professor, Finance, shchoi@jnu.ac.kr]

∙SangHo Lee, Ph.D.

[Professor, Industrial Organization,

sangho@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

	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

∙Hyungjeong Yang, Ph.D.

[Professor, hjyang@jnu.ac.kr]

(Application software)

∙Kyungbaek Kim, Ph.D.

[Professor, kyungbaekkim@jnu.ac.kr]

(Distributed Network System)

∙Soohyung Kim, Ph.D.

[Professor, shkim@jnu.ac.kr]

(Artificial intelligence)

∙Kwanghoon Choi, Ph.D.

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

(Programing Language & compiler)

∙DongHan Ham, Ph.D.

[Professor, dhham@jnu.ac.kr]

(Knowledge Service Engineering & Human

Computer Interaction)

∙Hieyong Jeong, Ph.D.

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

(Intelligence Robotics & Signal Processing)

∙InSeon Kim, Ph.D.

[Professor, mindzero@jnu.ac.kr]

(Environmental Pesticide Science)

∙WanHyun Cho, Ph.D.

[Professor, whcho@jnu.ac.kr]

(Data Mining, Image Partition or Searching)

■ 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)