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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 |