Course

Description.

[BUS501] AI in Digital Marketing

Course ID BUS501 Program Business Adminstration, Data Science Level Bachelor, Master Term 3rd Credit 5 Method Online The scientific topics that are covered in earlier program, such as machine learning, data-based decision making, and basic math & stat will be the key tools to analyze business applications of AI in Digital marketing. Starting from recommendation…

[BUS502] AI Business Cases

Course ID BUS502 Program Business Adminstration, Data Science Level Bachelor, Master Term 4th Credit 5 Method Online AI Business cases is a combination of introduction, review, and analysis of AI’s up-to-dated applications in business world. The scientific topics that are covered in earlier program, such as machine learning, statistical analysis for decision making, and math…

[COM501] Scientific Programming

Course ID COM501 Program Business Adminstration, Data Science Level Bachelor, Master Term 2nd Credit 5 Method Online Unlike typical coding classes in Engineering department, the Scientific Programming is mainly focused on how to program mathematics and statistics. The basic math & stat and from other courses in Term 1 and Term 2 will be represented…

[COM502] Machine Learning

Course ID COM502 Program Business Adminstration, Data Science Level Bachelor, Master Term 3rd Credit 5 Method Online Machine learning is a class of non-linear estimation techniques that leverage modern development in computing power. However, most models in the course still require heavy mathematics for deeper understanding and precise application on specific business situation. The course…

[COM503] Deep Learning

Course ID COM503 Program Business Adminstration, Data Science Level Bachelor, Master Term 4th Credit 5 Method Online Deep Learning is an overrated computational technique due to recent hype in AI. Concerning the market enthusiasm, however, the course starts from the mathematical fact that deep learning is no more than a computational model for finding non-linear…

[COM504] Reinforcement Learning

Course ID COM504 Program Business Adminstration, Data Science Level Bachelor, Master Term 5th Credit 5 Method Online The key theme of reinforcement learning is that it is a computational approach of dynamic optimization modeling. Due to mathematical requirements understanding dynamic optimization, the first half of the course will be split to Science and Business tracks. In…

[COM505] Data Visualization

Course ID COM505 Program Business Adminstration, Data Science Level Bachelor, Master Term 6th Credit 5 Method Online The course aims to achieve following three goals. Ranging from temporal data, network data, and geographical data, the course analyzes a variety of data types that require different ways of representation. Reviewing topics discussed in other courses, students…

[COM506] Data Management

Course ID COM506 Program Business Adminstration, Data Science Level Bachelor, Master Term 6th Credit 5 Method Online Understanding Data Management and Database Concepts Modeling Relational Database: Entity Relationship Diagram (ERD) Building Databases using Docker Containers with Docker Compose Using NoSQL: Elasticsearch Transforming Data from NoSQL to SQL Using SQL: MariaDB