INFO-B 436 Computational Methods for Biomedical Informatics
- Prerequisites: PBHL-B 302 Biostatistics of Informatics and INFO-I 223 Data Fluency
- Delivery: On-Campus
This course covers algorithm design, algorithm analysis, and complexity
analysis and their applications in biomedical informatics.
- Evaluate common problems in biomedical informatics, such as sequence alignment, genome arrangement, and peptide identification.
- Analyze time and space complexity and other theoretical concepts used in algorithm analysis and complexity analysis.
- Apply abstract data structures to solve problems in biomedical informatics.
- Compare the pros and cons of computational methods for a biomedical problem and choose appropriate methods.
- Evaluate the similarity between new problems and existing problems and adapt computational methods designed for existing problems to new problems.
- Design computational methods using a greedy, brute-force, divide-and-conquer, or dynamic programming approach.
- Evaluate biomedical problems using example-based problem-solving skills and iterative refinement skills.
- Design and perform experiments for evaluating computational methods and publicly present experimental results.