1         Master’s Thesis Research

Thesis research and seminar for Master’s degree         

2         Doctoral Dissertation Research

Thesis research and seminar for Doctoral degree        

3         Seminar

Seminar for deepening research issues for master’s students   

4         Doctoral Seminar

Seminar for deepening research issues for Doctoral students   

5         Data Engineering

Seminar and case studies for practical data processing and analysis    

6         Advanced Mathematical Programming

Students will learn by deepening various optimization theories for decision support    

7         Heuristics

This course covers traditional and heuristic optimization methods, together with algorithms and programs used to implement them     

8         Probability and Statistical Inference

Based on the probability model and statistical analysis technique, the theoretical study in related fields is deepened, and the analysis and inferencing ability using various case data in the field are studied

9         Quality Planning and Analysis

In-depth learning of the overall process for systematic design and management of quality, improvement and assurance are conducted     

10       System Simulation

Students learn by deepening basic concepts and theories of simulation

Systematic analysis and modeling of complex systems can be learned through simulation study and used as a reasonable tool for decision making        

11       Design of Experiments and Analysis

Students will learn the key concepts and methodologies of experiment design and ANOVA, and understand the scientific design and systematic analysis methods by experiencing the overall process for the implementation of statistical methods in experiments    

12       Scientific Computation and Computational Engineering

Students learn how to design and implement computational problems through the use of related programs to effectively and efficiently solve complex engineering problems that needs intelligent processing    

13       Processing Modeling and Mining

In order to implement an efficient business process model, all processes for design and tracking, analysis and improvement are studied through relevant methodologies and tools          

14       Reliability Design and Analysis

Students learn the meaning and the theoretical background of reliability, and analyze and predict the reliability of multipart systems       

 This course covers maintenance theories for stable operation and optimal design of the system, and deals with optimzation models and solutions for the target system

15       The Theory of Investment

Cultivate the ability to assess the engineering economics of investment decisions and evaluate engineering proposals in terms of value and cost      

 The method and validity of various investment decisions are learned through case studies          

16       Analysis and Design of Information System

Students will learn about information strategic planning and information systems planning together with various methodologies and theories on design and implementation from the perspective of software engineering    

 Students learn practical application methods through UML-based tools         

17       Advanced Topics in Financial Engineering

Students will learn the theory and methodologies of financial investment analysis over the basic understanding of finance

 Students will learn about derivative financial products and cultivate their ability to design and analyze derivative products

18       System Operations Management

This course deals with in-depth consideration of design and operation control of the systems in charge of production of products and services, and solutions of all related problems        

19       Optimization Modeling Methodology

Based on the basic understanding of the linear programming method, students learn the theoretical understanding and use of the simplex method and Interior point algorithm, and cultivate analytical skills through exploration of mathematical models and solutions          

20       Special Topics in Industrial and Data Engineering

Conduct a domain specific survey and study into the latest research trends in industrial and data engineering  

21       Operational Scheduling and Planning

Students will learn the basic problems of scheduling and their solutions         

22       Methods of Systems Analysis and Survey

Students will learn how to design and apply scientific research methods to understand and analyze systems’ phenomena  

23       R&D Project Management

Students will learn about design and creating roadmaps for research and development, and learn theories of project and business management using related methodologies 

24       Product Development Methodology

Students will learn the theory and practice of all processes from engineering product design and process planning, and learn how to implement innovative methods of product development activities based on customer requirements with software tools    

25       Production Automation

Understand the characteristics of the production process, and learn related theories and practices for building an automated production system through computerized planning, control and execution of the production process        

26       Smart Factory and Produciton System

Learn the theory of virtualized design and monitoring of automated production systems          

 Through the analytic understanding of the production system using digital twins and real-time simulations, students will learn operational control of the production system in the cyber environment with IT technology      

27       Special Topics in SCM

Learn important decisions for supply chain design and management   

 Learn the mathematical models and related theories necessary for effective decision making, and learn about maximizing value creation and adjusting interests among various companies from a supply chain perspective     

28       Web Technologies

Understand the web and internet technologies that are the basic environment for the execution and control of modern business, and solve real-world problems using relevant technology standards and learn about the next generation of web technologies that will come in the future      

29       Product and User Experience Design

Learn about a design approach centered on product performance and usability

 Students will learn the ability to improve product value and quality of user experience through intuitive and aesthetic user interface design   

30       Artificial Intelligence System

Students will learn the basic concepts of AI, development history, knowledge base and expert system  

 Students will experience about search, reasoning, and rule-based systems’ implementation

31       Deep Learning and Reinforcement Learning

Focused study of problem solving using deep neural networks among artificial intelligence          

 This course looks at deep learning models and application examples, and learn how to solve problems through reinforcement learning

32       Technology Protection and Information Security

Learn about the basic methodology to prevent technology leakage, which is a core competence of the company, and how to capitalize technology

 Learn the meaning and importance of information security, and learn how to strengthen it in a corporate environment through various case studies     

33       Business Analytics

This course addresses practical issues when processing big data         

 It mainly introduces core python libraries (Numpy, Pandas, Matplotlib, SciPy) that is used to preprocess and visualize the big data         

34       Big Data Application System

Learn about the various database systems that effectively handle unstructured or semi-structured data format 

 It deals with relational database and NoSQL database, and learn the latest technology and application systems for collecting and processing big data

35       Intelligent Internet of Things

Learn about the design and implementation of business services using IoT      

 Sutudents will learn approaches to create high value-added information assets from various sensors and information processing terminals, and learn related technologies and systems for intelligent operation         

36       Blockchain Technology and Business

Look at blockchain technology as a representative distributed application, and learn about business innovation models that utilize it        

 A case study on how to apply blockchain technology to the digital business is covered to unleash future business

37       Business Model Innovation

Learn how to create new business through innovation in traditional business   

 Learn the basic concept of innovation theory and improve understanding of future business innovation plans through representative case studies 

38       Regional Industry Innovation

This course aims to enhance business competitiveness through innovative changes in the local industry and approach to successful transformation of tranditional industries.  Students will learn business development models that take into account the regional and industrial characteristics of Busan, and propose their own innovation plans through an in-depth analysis