| Relevance of Course Objectives and Core Learning Outcomes(%) |
Teaching and Assessment Methods for Course Objectives |
| Course Objectives |
Competency Indicators |
Ratio(%) |
Teaching Methods |
Assessment Methods |
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. |
| 3.Capable of searching and retrieving data. |
| 6.Capable of analyzing data and experimental results. |
|
|
|
|
| Course Content and Homework/Schedule/Tests Schedule |
| Week |
Course Content |
| Week 1 |
Analysis of Algorithms |
| Week 2 |
Recurrence |
| Week 3 |
Introduction to Data Structure (I) |
| Week 4 |
Introduction to Data Structure (II) |
| Week 5 |
Algorithmic Techniques |
| Week 6 |
Sequence alignment |
| Week 7 |
Review week (no class) |
| Week 8 |
Midterm Exam |
| Week 9 |
Introduction to Data Mining |
| Week 10 |
Databases: An Overview |
| Week 11 |
Fundamentals of Molecular Evolution and
Phylogenetic Tree Construction |
| Week 12 |
The Analysis of Next Generation Sequencing Data |
| Week 13 |
Structural Bioinformatics |
| Week 14 |
Computational Proteomics |
| Week 15 |
Final Exam |
| Week 16 |
Computational Epigenetics |
self-directed
learning |
01.Participation in professional forums, lectures, and corporate sharing sessions related to industry-government-academia-research exchange activities.
02.Viewing multimedia materials related to industry and academia.
05.Participation in various workshops organized by different departments of NCHU.
|
|
| Evaluation |
| Midterm exam 50%. Final exam 50%. |
| Textbook & other References |
| N/A |
| Teaching Aids & Teacher's Website |
| Lecture slides |
| Office Hours |
| By appointment |
| Sustainable Development Goals, SDGs(Link URL) |
| 09.Industry, Innovation and Infrastructure | include experience courses：N |
|