隨著生醫領域科技的快速進步，健康資料數量累積速度大幅增加，結構化的資料其資料量與樣本數遠超過以往的數值，非結構化的資料亦被廣泛加入研究與應用標的。面對這些新型態的資料，如何有效率的利用不同的演算法及拓析方法進行解構及推論已成為當下亟待解決的問題，本課程將針對健康數據領域內較常出現的各式資料型態以及相關的研究範例進行講授，除課堂教師之外，亦將邀請產官學界在此領域上學有專精的專家給予範例演講，目標為令學生能夠大量接觸不同的健康資料型態，以及了解其初步的分析方法。

With the rapid advancements in biomedical technology, the accumulation speed of health data substantially increases. The sample size and data size of structured data are getting much larger than that can be obtained in the past years, and non-structured data has become a major research focus recently. Facing those new data types, how to efficiently use algorithms and analytical methods to dissect them has become an emerging challenge. In this course, we will focus on the data types popular in the researches of health data and provide examples to show their applications in the real world. In addition to course instructors, we will invite experienced professionals to give talks. In conclusion, the major goal of this course is to provide the access of new data types in researches of health data and to make students understand the basic concepts of their analytical methods.