校際選修

115-1 選課時程

進行中

  • 初選第一階段 6/15/2026
  • 初選第二階段 6/22/2026
  • 校際選修 8/24/2026
  • 初選第三階段 8/31/2026
  • 開學後加退選 9/7/2026
  • 逾期加退選 9/21/2026
選課資源

生物計算學

Biological Computing

學期
113-1
學分
3 學分
當期課號
143200
永久課號
MDBI30062
開課單位
生物醫學資訊研究所
授課教師
國際研究生學程
類別
必修
上課時間表
週五
5
13:20–14:10
生物計算學
4 節連堂
6
14:20–15:10
7
15:30–16:20
8
16:30–17:20

* 根據陽明交大上課時間表所列

概述

Aim: The aim of the course is to link issues in computer science to biology and thus capture the interest of students in both areas. It is expected that students will acquire and retain important knowledge about computational biology. Outline: The course provides an introduction to the basic computational concepts and methods used in molecular biology and genetics. It covers classic algorithmic techniques (for examples: divide and conquer algorithm, dynamic programming ...), data structures (e.g. queue, tree...), and common computational problems in biology (such as motif finding, sequence alignment ...). In addition, Bioinformatics approaches for next generation sequencing and the most up-to-date technology will be addressed as well.

先修科目

The course details may change (time, location, topic, etc.), please refer to the class syllabus on the TIGP Bioinformatics Program website before each class: https://idv.sinica.edu.tw/tigpbio/. 【For Non-BP student】 For Non-Bioinformatics Program students to register/sit in any BP course, it is required to gain course chair's permission: (1) Basic Enrollment Information form (https://forms.gle/oK7vJzzrx9EvybbT9) (2) TIGP-BP Course Registration Consent Form ※ Deadline: the 4th week of each semester. ※ Signature of the course chair should be collected before submission. Incomplete form will not be accepted. ※ Course grade will NOT be given (even class enrollment is completed at school) if fail to follow the above procedures.

教學方式

TA: To Be Announced. The syllabus will be continually updated, please refer to the online syllabus for the latest info: https://idv.sinica.edu.tw/tigpbio/

評分方式

Grades: Midterm exam 50%. Final exam 50%.

課程大綱
週次計畫
週次主題
第 1 週Analysis of Algorithms
第 2 週Recurrence
第 3 週Introduction to Data Structure (I)
第 4 週Introduction to Data Structure (II)
第 5 週Algorithmic Techniques
第 6 週Sequence alignment
第 7 週Review week (no class)
第 8 週Midterm Exam
第 9 週Introduction to Data Mining
第 10 週Databases: An Overview
第 11 週Fundamentals of Molecular Evolution and Phylogenetic Tree Construction
第 12 週The Analysis of Next Generation Sequencing Data
第 13 週Structural Bioinformatics
第 14 週Computational Proteomics
第 15 週Review Week (no class)
第 16 週Final Exam
教科書

N/A