COM SCI M184
Introduction to Computational and Systems Biology
Description: (Same as Bioengineering M184 and Computational and Systems Biology M184.) Lecture, two hours; outside study, four hours. Enforced requisites: one course from 31, Civil Engineering M20, Mechanical and Aerospace Engineering M20, or Program in Computing 10A, and Mathematics 3B or 31B. Survey course designed to introduce students to computational and systems modeling and computation in biology and medicine, providing motivation, flavor, culture, and cutting-edge contributions in computational biosciences and aiming for more informed basis for focused studies by students with computational and systems biology interests. Presentations by individual UCLA researchers discussing their active computational and systems biology research. P/NP grading.
Units: 2.0
Units: 2.0
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Most Helpful Review
Spring 2020 - I liked the class. It taught me how to use Simulink in MATLAB, and helped me understand how differential equations and modelling works. The work load is on the heavier side because there's weekly homework and labs. It's basically homework due twice a week. You have to buy the prof's book, but he follows it. Discussion are really helpful, lectures - not so much.
Spring 2020 - I liked the class. It taught me how to use Simulink in MATLAB, and helped me understand how differential equations and modelling works. The work load is on the heavier side because there's weekly homework and labs. It's basically homework due twice a week. You have to buy the prof's book, but he follows it. Discussion are really helpful, lectures - not so much.
Most Helpful Review
Fall 2023 - Standard seminar class that's required for any CASB major/minor. Show up, take some brief notes, and write a review for each talk. The review is just a summary of the talk, the most recent developments, what you didn't understand, and feedback. Some of the talks were actually really cool and prompted several students to join the researchers' labs (my favorites were Neuroimaging Informatics, AI in Medicine, and Genetic & Phenotypic Psychiatry), but expect them to change year by year. If you're already in a lab and like the research you're doing, it's pretty boring, but there's practically no workload - if you sit at the back of the lecture hall, you will see a bunch of people doing homework, solving the NYT crossword, playing snake, or chatting while taking notes lol The slightly annoying part was trying to summarize a boring talk that didn't make any sense, since some researchers assume that undergrads have a working knowledge of a bunch of statistics and ML stuff from the stats 100 or 101 series. But, even if you have a big-picture understanding and can at least name the methods they used without explaining then you're fine. Also I kinda hate genetics and like 70% of them were about it so that was also pretty annoying.
Fall 2023 - Standard seminar class that's required for any CASB major/minor. Show up, take some brief notes, and write a review for each talk. The review is just a summary of the talk, the most recent developments, what you didn't understand, and feedback. Some of the talks were actually really cool and prompted several students to join the researchers' labs (my favorites were Neuroimaging Informatics, AI in Medicine, and Genetic & Phenotypic Psychiatry), but expect them to change year by year. If you're already in a lab and like the research you're doing, it's pretty boring, but there's practically no workload - if you sit at the back of the lecture hall, you will see a bunch of people doing homework, solving the NYT crossword, playing snake, or chatting while taking notes lol The slightly annoying part was trying to summarize a boring talk that didn't make any sense, since some researchers assume that undergrads have a working knowledge of a bunch of statistics and ML stuff from the stats 100 or 101 series. But, even if you have a big-picture understanding and can at least name the methods they used without explaining then you're fine. Also I kinda hate genetics and like 70% of them were about it so that was also pretty annoying.
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