Resources

Precision Medicine & Clinical Translational Research Lab is committed to creating an open educational resource platform. We hope that our materials can build your foundation and inspire your imagination for the course. We expect you to complete reading the following course resources before choosing our course. We believe this will improve your overall understanding of the course objectives.

Data Mining

Basic and advanced introduction to data mining techniques, applications, software usage and implementation.
Course Syllabus (zh-TW)

Analysis and Application of Big Data

This course adopts a Problem Based Learning (PBL) teaching style to cultivate students’ mastery of the most important technology in big data processing: knowledge discovery in databases (KDD).
Course Syllabus (zh-TW)

Smart Medicine

In this course, students will gain insights into: (1) The current status of AI applications in healthcare. (2) The analysis and interpretation of medical data. (3) The application of basic research data and clinical research data to smart healthcare.
Course Syllabus (zh-TW)

Bioinformatics

With a foundation in Biomedicine, Computer Science, and Information Science, this course aims to cultivate professionals with informatic and medical knowledge. The goal is to maximize the application of computer technology in medical and biomedical research and nurture well-rounded talents.
Course Syllabus (zh-TW)

Data Science Industry Application Trends and Cases

The goal of the course is to gain an in-depth understanding of the adoption of data science in the industry and to learn how to apply data science techniques to solve real-world problems.
Course Syllabus (zh-TW)

Research Methodology

The purpose of this course is to help students understand research methodology, including both qualitative and quantitative research methods. The course will cover a variety of topics, such as survey research, experimental design, and statistical analysis.
Course Syllabus (zh-TW)