Welcome to the course webpage for DS202: Algorithmic Foundations of Big Data Biology.

The objective of this course is to provide a broad overview of algorithms and data structures for biological sequence analysis. There will be a significant concentration on genomics and related problems such as high-throughput pattern matching of biological sequences, data compression algorithms, gene finding, genome assembly and phylogenetics. Hands-on programming assignments will be offered to appreciate the complexities of real-world data. Tentative topics and prerequisites are listed here. Many algorithmic techniques taught in this course are also applicable to areas beyond biology such as text mining, plagiarism checking, web searching and natural language processing.

 Announcements

• [20/03] Final exam date: Apr 19 (Friday) 10 am-noon

• [17/03] Project report due on Apr 14 (Sunday) 23:59

• [17/03] Project presentations will start from Apr 1 onwards

• [15/03] Homework-4 posted, due by Mar 24 (Sun) 23:59

• [26/02] Project preliminary report due by Mar 11 (Monday) 23:59

• [21/02] Mid-term (take-home solutions) due by Mar 3 (Sun) 23:59

• [05/02] Mid-term exam date: Feb 19 (09:30 - 11:00)

• [01/02] Homework-3 posted, due by Feb 14 (Wed) 23:59

• [29/01] Homework-2 posted, due by Feb 7 (Wed) 23:59

• [16/01] Homework-1 posted, due by Jan 24 (Wed) 23:59

• [10/01] Homework-0 posted, due by Jan 15 (Mon) 10:00

• [01/01] First class is scheduled on Jan 10, 2024 (Wed) at 10:00

 Logistics

• Class days/time: MWF 10 am - 11 am

• Course website: https://sites.google.com/view/ds202

• Class location: CDS 202

• Office hours: After class or by appointment