Integrates genomic, transcriptomic, metabolomic, and proteomic approaches to quantify and understand intricate biological systems. Complementary bioinformatics approaches to curate the large datasets associated with these experiments will also be discussed. Recent examples from the literature will reinforce core concepts, ranging from applications to human health to the environment. By the end of the course, students should be able to design an integrated experiment that capitalizes on these ?omics?-based approaches to enhance the scope of their research.
3
UnitsLetter
Grading1, 2, 3
PasstimeNone
Level LimitEngineering
CollegeI think O'Malley did a good job of explaining a lot of topics in biology in a sense where the students could enjoy them. That being said I personally HATE biology but she made the class more enjoyable than it would have been otherwise. Midterm was relatively easy, final was harder.
I think the class tries to cram 1+ years of general biology into 10 weeks and it feels like some of the details are lost, especially when the midterm/final usually tested those details. Definitely a tough class if you aren't bio-inclined like me, but you'll do fine if you attend lectures + a few office hours.
107 is just a generally disliked class by most ChemEs, but I liked Professor O' Malley a lot. She's very accessible outside of class and is helpful beyond just the course curriculum.
Really clear lectures. Made biology easier to understand.
Lectures and notes online are clear but her homework and her tests often have material that wasn't covered in class or in the reading. Participation is worth 5% and causes awkward silences in class. Her slides don't have all the info you need for tests and you have to really listen and take good notes when she lectures using powerpoint.
Arnab Mukherjee
3.0
Michael Doherty
4.2
Eric McFarland
2.7