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Actuarial and Statistical Analysis
African Studies 016
Analytics: Discovery Informatics and Data Sciences
Anthropology 070
Applied Computing
Art History 082
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Asian Studies 098
Atmospheric Science 107
Biochemistry 115
Bioenvironmental Engineering 116
Biomedical Engineering 125
Biotechnology 126
Biotechnology and Genomics
Business and Science 137
Cell and Developmental Biology 148
Cellular and Molecular Pharmacology
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Chemistry and Chemical Biology 160
Chinese 165
Cinema Studies 175
Civil and Environmental Engineering 180
Classics 190
Cognitive Science 185
College Teaching 186
College and University Leadership 187
Communication, Information and Library Studies 194
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Comparative Literature 195
Computational and Data-Enabled Science and Engineering 199
Computer Science 198
Cultural Heritage and Preservation Studies (CHAPS)
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Data Science (Statistics Track) 954
Drug Discovery and Development
East Asian Languages and Cultures 217
Ecology and Evolution 215
Economics 220
Education 300
Educational Psychology; Educational Theory, Policy, and Administration; Learning and Teaching
Electrical and Computer Engineering 332
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Energy 335
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English, Literatures in (English 350, Composition Studies 352)
English as a Second Language 356, American Language Studies 357
Entomology 370
Environmental Change, Human Dimensions of 378
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Exposure Science
Financial Statistics and Risk Management 958
Food and Business Economics 395
Food Science 400
French 420
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Geography 450
Geological Sciences 460
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German 470
Global Agriculture
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Graduate Student Professional Development 486
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Industrial Mathematics
Industrial Relations and Human Resources 545
Industrial and Systems Engineering 540
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Interdisciplinary Ph.D. Program 554
Italian 560
Jewish Studies 563
Kinesiology and Applied Physiology 572
Labor and Employment Relations
Landscape Architecture 550
Latin American Studies
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Linguistics 615
Literature and Language 617
Literatures in English
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Materials Science and Engineering 635
Mathematical Finance 643
Mathematics 640, 642, 644
Mechanical and Aerospace Engineering 650
Medical Device Design and Development
Medicinal Chemistry 663
Medieval Studies 667
Meteorology
Microbial Biology 682
Microbiology and Molecular Genetics 681
Molecular Biophysics 696
Molecular Biosciences 695
Music
Music 700
Neuroscience 710
Nutritional Sciences 709
Oceanography 712
Packaging Engineering 731
Perceptual Science 714
Personal Care Science
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Pharmaceutical Science 720
Pharmaceuticals and Clinical Trials Management 725
Pharmacology, Cellular and Molecular 718
Pharmacy
Philosophy 730
Physics and Astronomy 750
Physiology and Integrative Biology 761
Planning and Public Policy 762
Plant Biology 765
Political Science 790
Psychology 830
Psychology, Applied and Professional
Public Health 832
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Quality and Reliability Engineering
Quantitative Biomedicine 848
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Quaternary Studies 855
Religion 840
Russian, Central and East European Studies 859
Science and Technology Management 885
Social Networking and Media
Social Work 910
Social Work: Administration, Policy and Planning, and Direct Practice
Sociology 920
Spanish 940
Statistics and Biostatistics 960
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United Nations and Global Policy Studies
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Women's and Gender Studies 988
Writing for Graduate Students 355
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Graduate Courses

Camden Newark New Brunswick/Piscataway
Catalogs
  Graduate School-New Brunswick 2017 Programs, Faculty, and Courses Quantitative Biomedicine 848 Graduate Courses  
Graduate School-New Brunswick
16:848:405 Differential Equations in Biology (3)   Models for biological processes based on deterministic ordinary and partial differential equations. Topics include stability, bifurcations, periodic phenomena, transport, and diffusion. Sontag. Prerequisites: Differential equations and linear algebra.
16:848:503 Introduction to Computational Biology and Molecular Biophysics (3) Introduction to the phenomena ranging from molecular interactions to biological behavior at the level of cells, tissues, and organisms. Prerequisites: Linear algebra; calculus; and a good biology, chemistry, and physics background at the high school level.
16:848:505 Dynamic Models of Biology (3) A remedial course focusing on differential equations, Fourier and Laplace transforms, and stochastic processes for students interested in quantitative biology. Prerequisites: Calculus, some undergraduate exposure to ODEs, linear algebra, and basic probability.
16:848:507 Physics of Living Matter (3) Review of physical phenomena that determine the properties of biological molecules, molecular assemblies, and fundamental biological processes. Also offered as 750:567. Prerequisites: Linear algebra, differential equations, thermodynamics, and classical physics (at the junior level).
16:848:511 Modeling of Biomolecular Networks: An Introduction to Systems Biology (3) Focuses on a systems approach to biomolecular processes including the ideas, mathematical language, and modeling techniques used to describe the main mechanisms of transferring and processing biological information. Sengupta. Prerequisites: Differential equations, linear algebra, probability and statistics; good chemistry/biology background at the high school level.
16:848:513 Molecular Simulations in Computational Biology (3) Focuses on molecular modeling and simulations of biological macromolecules including proteins and nucleic acids, molecular dynamics and Monte Carlo methods, and solvation. Computer simulations and exercises are an integral part of the course. Also offered as 750:563. Levy, Olson. Prerequisites: Advanced undergraduate courses in physical chemistry or physics.
16:848:515 Statistical Methods in Bioinformatics (3) Broadly applicable, modern statistical tools particularly important in modeling and interpreting noisy bioinformatics data. Prerequisites: Linear algebra and calculus.
16:848:601 Protein Physics (3) Advanced introduction to protein folding, binding, and structure prediction including equilibrium and kinetic aspects of protein folding and binding, classification of protein folds, and structure prediction from sequence. Levy. Prerequisite: Permission of instructor.
16:848:611 (Su) Intensive Summer Course (1) Dai
16:848:612 (Su) Intensive Summer Course (2) Dai
16:848:613 Selected Math Topics in Physiology and Medicine (3) Mathematical modeling of selected biological phenomena and systems. Cellular homeostasis, regulation of cell function, cardiac rhythmicity, and hormone physiology are potential topics. Sontag. Prerequisite: Elementary differential equations or permission of instructor.
16:848:614 Interdisciplinary Quantitative Biology Boot Camp (N0) An immersive two-week winter program that provides broad introductory exposure to the language and experimental/theoretical underpinnings of molecular biology, macromolecular biochemistry/biophysics, structural biology, computational biology, systems biology, and bioinformatics. Instruction takes the form of lectures on fundamental aspects of biology, a broad range of hands-on wet- and dry-laboratory practical exercises (including simulations of biological phenomena using statistical physics, mathematical modeling, and computational chemistry), tours of some of Rutgers' state-of-the-art facilities for interrogating biological phenomena, and a culminating symposium for which the participants gather their data (akin to a scavenger hunt), teach each other about their findings, and prepare a collaborative presentation. Additional description can be found on the website.
16:848:615 Interdisciplinary Quantitative Biology Boot Camp (N2) This course is an immersive two-week winter program that provides broad introductory exposure to the language and experimental/theoretical underpinnings of molecular biology, macromolecular biochemistry/biophysics, structural biology, computational biology, systems biology, and bioinformatics. Instruction takes the form of lectures on fundamental aspects of biology, a broad range of hands-on wet- and dry-laboratory practical exercises (including simulations of biological phenomena using statistical physics, mathematical modeling, and computational chemistry), tours of some of Rutgers' state-of-the-art facilities for interrogating biological phenomena, and a culminating symposium for which the participants gather their data (akin to a scavenger hunt), teach each other about their findings, and prepare a collaborative presentation. Additional description can be found on the website.
16:848:616 Seminar in Quantitative Biology (BA) Prerequisite: Permission of instructor.
16:848:617 Special Topics in Quantitative Biology (BA) Prerequisite: Permission of instructor.
16:848:621,622 Laboratory Rotation in Computational Biology and Molecular Biophysics (1-2 BA,1-2 BA) Introduction to the techniques of BioMaPS research through participation in research projects of selected members of the graduate faculty. Enrollment restricted to Ph.D. students in the graduate program in quantitative biomedicine. No more than a total of 3 credits of laboratory rotation can be earned.
16:848:701,702 Research in Quantitative Biomedicine (BA,BA)
 
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