Course Information
Course title
 Introduction to Bioinformatics 
Semester
 111-1 
Designated for
 College of Bioresources & Agriculture  DEPARTMENT OF AGRONOMY  
Instructor
 STEVEN HUNG-HSI WU 
Curriculum Number
 Agron5050 
Curriculum Identity Number
 621EU6390 
Class
  
Credits
 3.0 
Full/Half
Yr.
 Half 
Required/
Elective
 Elective 
Time
 Tuesday 3,4,5(10:20~13:10) 
Remarks
 The upper limit of the number of students: 45. 
  
Course introduction video
 
Table of Core Capabilities and Curriculum Planning
 Table of Core Capabilities and Curriculum Planning
Course Syllabus
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Course Description

Bioinformatics is a rapidly evolving field, and it is actively used in multiple areas of research. This interdisciplinary field integrates biology, statistics, and computer science together to analyse and interpret biological data. The course covers the most important and fundamental concepts, methods, and tools used in bioinformatics. Students will be able to use these bioinformatics tools to solve the problems for their own research.

Modules in this course

  1. Basic bioinformatics skills: basic statistics and programming.
  2. Molecular evolution: Multiple sequence alignment and phylogenetic analysis.
  3. Next generation sequencing (NGS) analysis: Genome assembly, genome annotation, and metagenomics.
  4. Other topics in bioinformatics: structural biology, cloud computing, ... etc

DirectPoll

Direct_poll
 

Course Objective
  • Understand that bioinformatics is an interdisciplinary field and communicate with researchers from different backgrounds.
  • Evaluate and identify appropriate bioinformatics software for your own research.
  • Develop problem-solving skills in bioinformatics. Integrate a range of bioinformatics techniques to extract information from biological data.
  • Work collaboratively in groups to solve challenges in the interdisciplinary fields.
 
Course Requirement
  
Student Workload (Expected weekly study hours before and/or after class)
  
Office Hours
  
Designated reading
  
References
  
Grading
  
No.
Item
%
Explanations for the conditions
1. 
 Quizzes 
10% 
  
2. 
 Assignments 
40% 
  
3. 
 Group project - proposal 
20% 
  
4. 
 Group project - final presentation 
30% 
  
  1. NTU has not set an upper limit on the percentage of A+ grades.
  2. NTU uses a letter grade system for assessment. The grade percentage ranges and the single-subject grade conversion table in the NATIONAL TAIWAN UNIVERSITY Regulations Governing Academic Grading are for reference only. Instructors may adjust the percentage ranges according to the grade definitions. For more information, see the Assessment for Learning Section.
 
Progress
Week
Date
Topic
Week 1
 Sep-06  Overview of bioinformatics 
Week 2
 Sep-13  Basic bioinformatics skills - Statistics and R programming 
Week 3
 Sep-20  Basic bioinformatics skills - Command line 
Week 4
 Sep-27  Basic bioinformatics skills - Regular expression 
Week 5
 Oct-04  Basic bioinformatics skills - Database and sequence manipulation 
Week 6
 Oct-11  Molecular evolution - Sequence alignment 
Week 7
 Oct-18  Molecular evolution - Phylogenetic analysis 
Week 8
 Oct-25  Molecular evolution - Phylogenetic analysis 
Week 9
 Nov-01  Genomic analysis - Modern sequencing methods 
Week 10
 Nov-08  Group project - Proposal presentation 
Week 11
 Nov-15  Holiday - University Anniversary  
Week 12
 Nov-22  Genomic analysis - Genome assembly 
Week 13
 Nov-29  Genomic analysis - Genome annotation 
Week 14
 Dec-06  Other topics in bioinformatics - Part 1 
Week 15
 Dec-13  Other topics in bioinformatics - Part 2 
Week 16
 Dec-20  Group project - Final presentation