|Instructor||Dan DeBlasio||Time||TR 16:30-17:50|
|dfdeblasio _at_ utep.edu||Location||Chemistry and Computer Science Building 1.0202|
|Office||CCSB 3.1008 and teamsChat.deblasiolab.org||Office Hours:||TBD
or by appointment (calendly.deblasiolab.org).
|Syllabus||updated: January 20 2022|
We will through the duration of the semester examine common algorithmic solutions to domain specific data science problems, and how to distill computational problems from questions asked in other domains (i.e. computational biology). While the specific applications we will use as examples are in biology, the approaches discussed are applicable to many interdisciplinary fields. That said, this course is self contained and no previous knowledge of biology is needed. The solution techniques include dynamic programming, computational optimization/integer linear programming, and machine learning to name a few.
Some of the specific biological problems to be discussed are:
While these are some of the topics we will discuss they are in no way exhaustive of the field; as with previous versions of the course I am open to suggestions of topics of interest to the students enrolled. The only prerequisite is CS 3 (CS 2302), only the minimum amount of biology will be included to understand the underlying question and the extraction of the computational problem, but it will be self contained and none is expected ahead of time.
We will use "Algorithms in Bioinformatics" by Wing-Kin Sung as our primary text, but this will be supplemented with other literature soruces that will be provided.
 CRC Press, ISBN 9781420070330(Hardcover)/9780367659318(Paperback)
|18 January 2021 (W1T)||Introduction Slides
|20 January 2021 (W1R)||Linear Programming||Welcome Survey|
|25 January 2021 (W2T)||Biology Primer|