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Course Criteria
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5.00 Credits
Seminar, three hours. Theoretical and literary readings combined to explore three main aspects of social and cultural experience (race, gender, class) as separate but interconnected spheres affecting both minority and majority populations in U.S. Examination of these issues from comparative perspectives. P/NP or letter grading.
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4.00 Credits
Lecture, three hours. Knowledge of Japanese not required. Examination of representation of technology in 20th-century fiction. Discussion of impact of technology on shifting images of gender, subjectivity, and national identity. P/NP or letter grading.
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4.00 Credits
Lecture, three hours. Study of literary responses of Jews to modernity, its challenges, and threats. Readings in texts originally written in English or translated from Hebrew, Yiddish, German, Russian, French, and Italian. Analysis of formal aspects of each work. P/NP or letter grading.
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4.00 Credits
Tutorial, to be arranged. Limited to juniors/seniors. Development and completion of honors thesis or comprehensive research project under direct supervision of faculty member. May be repeated for credit. Individual contract required. Letter grading.
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2.00 Credits
(Same as Biomedical Engineering M186A and Computer Science M186A.) Lecture, two hours; outside study, four hours. Requisites: Computer Science 31 (or Program in Computing 10A), Mathematics 31A, 31B. Survey course designed to introduce students to computational and systems modeling and computing in biology and medicine, providing flavor, culture, and cutting-edge contributions of burgeoning computational multidisciplinary biosciences and aiming for more informed basis for joining them. Integrative introduction with emphasis on ongoing computational and systems biology research at UCLA in systems biology, bioinformatics, genomics, neuroengineering, tissue bioengineering, systems biology software, knowledge systems, biosystem simulation, and/or other computational and systems biology/biomedical engineering areas. P/NP grading.
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5.00 Credits
(Formerly numbered Cybernetics M186B.) (Same as Biomedical Engineering CM186B and Computer Science CM186B.) Lecture, four hours; laboratory, three hours. Corequisite: Electrical Engineering 102. Dynamic biosystems modeling and computer simulation methods for studying biological/biomedical processes and systems at multiple levels of organization. Control system, multicompartmental, predator-prey, pharmacokinetic (PK), pharmacodynamic (PD), and other structural modeling methods applied to life sciences problems at molecular, cellular (biochemical pathways/ networks), organ, and organismic levels. Both theory- and data-driven modeling, with focus on translating biomodeling goals and data into mathematics models and implementing them for simulation and analysis. Basics of numerical simulation algorithms, with modeling software exercises in class and PC laboratory assignments. Letter grading.
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1.00 Credits
(Same as Biomedical Engineering CM186C and Computer Science CM186C.) Lecture, one hour; discussion, two hours; laboratory, one hour; outside study, eight hours. Requisite: course M186B. Closely directed, interactive, and real research experience in active quantitative systems biology research laboratory. Direction on how to focus on topics of current interest in scientific community, appropriate to student interests and capabilities. Critiques of oral presentations and written progress reports explain how to proceed with search for research results. Major emphasis on effective research reporting, both oral and written. Letter grading.
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4.00 Credits
Lecture, three hours; discussion, one hour. Enforced requisites: course 180 or Program in Computing 60 with grade of C- or better, and Biostatistics 100A or 110A or Mathematics 170A or Statistics 100A or 110A. Introduction to bioinformatics and methodologies, with emphasis on concepts and inventing new bioinformatic methods. Focus on sequence analysis and alignment algorithms. Concurrently scheduled with course CM221. P/NP or letter grading.
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4.00 Credits
Lecture, three hours; discussion, one hour; outside study, eight hours. Preparation: one statistics course and familiarity with any programming language. Designed for undergraduate and graduate engineering students, as well as students from biological sciences and medical school. Introduction to current quantitative understanding of human genetics and computational interdisciplinary research in genetics. Topics include introduction to genetics, human population history, linkage analysis, association analysis, association study design, isolated and admixed populations, population substructure, human structural variation, model organisms, and genotyping technologies. Computational techniques include those from statistics and computer science. Concurrently scheduled with course CM224. Letter grading.
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5.00 Credits
(Formerly numbered M186B.) (Same as Biomedical Engineering CM186B and Computational and Systems Biology M186B.) Lecture, four hours; laboratory, three hours. Corequisite: Electrical Engineering 102. Dynamic biosystems modeling and computer simulation methods for studying biological/biomedical processes and systems at multiple levels of organization. Control system, multicompartmental, predator-prey, pharmacokinetic (PK), pharmacodynamic (PD), and other structural modeling methods applied to life sciences problems at molecular, cellular (biochemical pathways/networks), organ, and organismic levels. Both theory- and data-driven modeling, with focus on translating biomodeling goals and data into mathematics models and implementing them for simulation and analysis. Basics of numerical simulation algorithms, with modeling software exercises in class and PC laboratory assignments. Concurrently scheduled with course CM286B. Letter grading.
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