Introduction to Global Entrepreneurship

Now is the time of rapid change. By the technological revolution, the market structure is rapidly disrupted. We discover the ideal model of entrepreneur in this disruptive era.

In this class, students will learn core concept of entrepreneurship and entrepreneur's key capabilities related to leadership as an entrepreneur, creative idea generation, problem solving, developing startup business. Students will develop the ability as entrepreneurs to cope with the disruptive market environment through various team activities and discussions.

One important differentiation of this class is that students listen to the real voices of global CEOs such as John Chambers Chairman of Cisco, Jack Welch former chairman of General Electric, John Culver vice president of Starbucks (leading digital transformation in SB), and several startup CEOs in Silicon Valley. Professor of this course who interviewed them directly and recorded will share these interview videos and behind stories. Through these REAL evidences, students will have a chance to meet the greatest entrepreneurship in the global fields.

Business, Culture and Spirituality

Background: to discern various modern culture and spirituality in business world.

Contents: to examine the relationship between Calvinism and the Dutch entrepreneurship.

Necessity: to offer a Christian view of entrepreneurship and to put it into practice in a concrete life.

Case Studies in Strategic Entrepreneurship

ICT Engineering Mathematics

This course was designed for students who want to derive basic mathematical concepts for applications of differential calculus and matrices, and stochastic programs. The course will cover some basic parts of differential calculus, linear algebra, and statistics to help the students get prepared to take more advanced engineering courses related to information and communication technologies (ICT) and machine learning (ML). The students will deal with basic engineering problems in ICT and ML mathematically and also solve these problems practically by implementing computer programs in the Python language through computational thinking.

Human Factors and Ergonomics

This course will provide an understanding of the human, computer, and those interactions and provides engineering practices for planning, designing, analyzing, and evaluating the implementation of an HCI system.

An extended syllabus and detailed course contents is shared here.

AI-based Computer Vision Application

This course will introduce the field of computer vision. Computer vision is related to extracting information from images. The major categories of tasks of computer vision and examples of applications from each category will be introduced. A specific emphasis will be on how to adopt machine learning and deep learning techniques to the field of computer vision. Python and various AI frameworks such as TensorFlow/PyTorch will be used for programming practice.

Independent Study

Human Computer Interaction

This course will provide essential knowledge related to the physical, cognitive, and emotional characteristics of the human, also hands-on practices regarding measuring, analyzing, and application of those human characteristics in product design.

Big-Data Analysis

Welcome to the world of “Big Data”. Data science is to derive knowledge from "Big Data", efficiently and intelligently. For the next 16 weeks, students will learn about data science and practice a general data analysis pipeline of data acquisition, preparation, analysis, visualization and presentation. Students will also perform a data analytics project of their interest.

Programming 1

This course is designed for the students who want to have the basic understanding on ICT and to develop fundamental programming skills. In order to lower the entry barriers into ICT, we use the Python programming language, which is known to be relatively easy to learn. The students will develop computational thinking and their ideas on programming concepts through this course while preparing the basics to take the next course, Programming II.

Data Science

This course is for the students with no programming and data analytics experience who do not know what to do with Big Data. We start from the very basics to learn data science from A to Z. We use R as an analytics tool which is one of most popular tools for data scientists. We learn from records to know about the present and the future. Students will prepare themselves to start their career as junior data scientists.

Data Management and Application

This course is to introduce the basic concept of data structure and algorithm to the students with non-computer science majors.

Students will learn how to organize their data and information effectively and efficiently and build capability to make use of traditional data management methods and database systems to solve the problems of their expertise and interests.

AI Convergence and Application

This course will introduce the basic ideas and techniques of AI and its applications. A specific emphasis will be on how to design and build AI agents for different applications. Python and various AI frameworks, such as PyTorch/Tensorflow will be used for programming practices of AI.

Capstone Design 1

Capstone Design 2