| Relevance of Course Objectives and Core Learning Outcomes(%) |
Teaching and Assessment Methods for Course Objectives |
| Course Objectives |
Competency Indicators |
Ratio(%) |
Teaching Methods |
Assessment Methods |
| Big Data in Bioinformatics - From Data-Driven Analysis to Knowledge |
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| Course Content and Homework/Schedule/Tests Schedule |
| Week |
Course Content |
| Week 1 |
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| Week 2 |
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| Week 3 |
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| Week 4 |
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| Week 5 |
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| Week 6 |
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| Week 7 |
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| Week 8 |
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| Week 9 |
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| Week 10 |
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| Week 11 |
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| Week 12 |
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| Week 13 |
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| Week 14 |
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| Week 15 |
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| Week 16 |
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| Week 17 |
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| Week 18 |
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| Evaluation |
| Midterm exam 50%. Final exam 50%. |
| Textbook & other References |
: (Reference books, not required)
1. Scalable Big Data Analytics for Protein Bioinformatics [Publisher: Springer; 1st ed. 2018 edition (September 26,
2018)]
2. Computational Intelligence and Big Data Analytics: Applications in Bioinformatics [Publisher: Springer; 1st ed.
2019 edition (September 9, 2018)]
3. Big Data in Omics and Imaging [Publisher: Chapman and Hall/CRC; 1 edition (June 19, 2018)]
4. Big Data Analytics in Genomics [Publisher: Springer; Softcover reprint of the original 1st ed. 2016 edition (April |
| Teaching Aids & Teacher's Website |
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| Office Hours |
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| Sustainable Development Goals, SDGs |
| include experience courses：N |
|