91猫先生

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抗病毒药物之研发

课程资讯
学年/学期 112/2
授课教师 龚于农
开课单位 生医所博士班
年级-班别 1-甲
科目代号(学分) EMM115(2)
课程名称 抗病毒药物之研发
开课序号 61414
主要开课序号
修课学生 本校:&苍产蝉辫;0人;外校:&苍产蝉辫;0人
人数限制 2~60
上课时间地点
星期 开始&苍产蝉辫;/&苍产蝉辫;结束 教室&苍产蝉辫;摆代码说明]
星期叁 3 (10:10) ~ 4 (12:00) 每週上课
核心能力
备註 英语授课,一医9贵生物资讯电脑教室
教学大纲
教科书 No textbooks are required in this course.
教科书ISBN 0000000000
参考书 No textbooks are required in this course.
课程讲义网址
整体教学目标 The research and development of antiviral drugs play a major role in responding the pandemics and epidemics of emerging viruses. This course will introduce students to the CRISPR-Cas9 gene editing technology and the application of deep learning in protein structure prediction. It allows students to learn how to use high-throughput sequencing and computer simulations to conduct antiviral drug screening and accelerate antiviral drug development, respectively.
教学方法 Lecture slides will be prepared for students and uploaded to 91猫先生’s E-Learning platform. Classes will be conducted in computer laboratory. Consider this is a graduate-level course, literature covering up-to-date research activities in this field will be shared and discussed with students. Final presentation will be conducted for assessing students' comprehension on these subjects. Quiz and homework will be distributed too.
课程介绍 课程内容將包括兩大主題, CRISPR-Cas9基因編輯技術與深度學習於抗病毒药物之研发與應用。
弹性学习 Flexible learning and group discussion (6/12 and 6/19)
成绩考核 1. Project proposal (20%) 2. Project presentation (40%) 3. Class participation (20%) 4. Quizzes and homework assignments (20%)
师生互动时间 Please email the class teacher (yngong@mail.cgu.edu.tw or ext. 3040) to schedule an office hour appointment. The office hours will be from 2:00 PM to 3:00 PM on Thursdays.
教学进度
项次 教学主题
1
1. Lecture subject content: Course Introduction 2. Class teacher: Yu-Nong Gong (龚于农)
2
1. Holiday 2. Class teacher: Yu-Nong Gong (龚于农)
3
1. Lecture subject content: Introduction to CRISPR-Cas9 techniques (1) 2. Class teacher: Yu-AN Kung (龔俞安)
4
1. Lecture subject content: Introduction to CRISPR-Cas9 techniques (2) 2. Class teacher: Yu-AN Kung (龔俞安)
5
1. Lecture subject content: Command line basics (1) 2. Class teacher: Yu-Nong Gong (龚于农)
6
1. Lecture subject content: Command line basics (2) 2. Class teacher: Yu-Nong Gong (龚于农)
7
1. Lecture subject content: CRISPR-Cas9 data-analysis pipeline (1) 2. Class teacher: Yu-Nong Gong (龚于农)
8
1. Lecture subject content: CRISPR-Cas9 data-analysis pipeline (2) 2. Class teacher: Yu-Nong Gong (龚于农)
9
1. Lecture subject content: Project and paper discussion 2. Class teacher: Yu-Nong Gong (龚于农)
10
1. Lecture subject content: Project proposal 2. Class teacher: Yu-Nong Gong (龚于农)
11
1. Lecture subject content: What’s deep learning? 2. Class teacher: Yu-Nong Gong (龚于农)
12
1. Lecture subject content: Neural networks 2. Class teacher: Yu-Nong Gong (龚于农)
13
1. Lecture subject content: Fundamentals of machine and deep learning 2. Class teacher: Yu-Nong Gong (龚于农)
14
1. Lecture subject content: Deep learning in practice 2. Class teacher: Yu-Nong Gong (龚于农)
15
1. Lecture subject content: Project and paper discussion 2. Class teacher: Yu-Nong Gong (龚于农)
16
1. Lecture subject content: Project presentation 2. Class teacher: Yu-Nong Gong (龚于农)
先修课程
本課程沒有先修课程規定