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African Studies 016
Agricultural Engineering
Alcohol Studies 047
Animal Sciences 067
Anthropology 070
Art History 082
Arts, Visual and Theater
Asian Studies 098
Biochemistry 115
BIOMAPS 118 (Programs in Quantitative Biology)
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Background Courses
Core Courses
Biomedical Engineering 125
Bioresource Engineering 127
Biotechnology 126
Cell and Developmental Biology 148
Cellular and Molecular Pharmacology
Ceramic and Materials Science and Engineering 150
Chemical and Biochemical Engineering 155
Chemistry 160
Civil and Environmental Engineering 180
Classics 190
Cognitive Science 185
Communication, Information, and Library Studies 194
Communication Studies
Comparative Literature 195
Computer Science 198
Curatorial Studies
Ecology and Evolution 215
Economics 220
Education 300
Educational Psychology; Educational theory, Policy, and Administration; Learning and Teaching
Electrical and Computer Engineering 332
Engineering Geophysics
English, Literature In (English 350, Composition Studies 352)
English as a Second Language 356
Entomology 370
Environmental Change, Human Dimensions of 378
Environmental Sciences 375
Food and Business Economics 395
Food Science 400
French 420
Geography 450
Geological Sciences 460
Geospatial Information Science 455
German 470
History 510
Human Resource Management
Industrial and Systems Engineering 540
Industrial Relations and Human Resources 545
Interdisciplinary Ph.D. Program 554
Italian 560
Labor and Employment Relations
Library Studies
Linguistics 615
Literatures In English
Mathematics 640, 642
Mechanical and Aerospace Engineering 650
Mechanics 654
Medicinal Chemistry 663
Medieval Studies 667
Microbiology and Molecular Genetics 681
Molecular and Cell Biology 695
Molecular Biophysics 696
Molecular Biosciences
Music 700
Neuroscience 710
Nutritional Sciences 709
Oceanography 712
Operations Research 711
Packaging Science and Engineering
Pharmaceutical Science 720
Pharmacology, Cellular and Molecular 718
Philosophy 730
Physics and Astronomy 750
Physiology and Integrative Biology 761
Plant Biology 765
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Plant Science and Technology
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Psychology 830
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Quaternary Studies 841
Russian, Central and East European Studies 859
Social Work 910
Social Work: Administration, Policy and Planning, and Direct Practice
Sociology 920
Spanish 940
Statistics 960
Theater Arts
Toxicology 963
Urban Planning and Policy Development 970
Urban Planning, City and Regional
Visual Arts
Wireless Communications Certificate
Women's and Gender Studies 988
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Governance of the University
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Camden Newark New Brunswick/Piscataway
  Graduate School-New Brunswick 2003-2005 Programs, Faculty, and Courses BIOMAPS 118 (Programs in Quantitative Biology) Core Courses  

Core Courses

16:118:405Differential 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.
16:118:503Introduction to BIOMAPS: Biology at the Interface with the Mathematical and Physical Sciences (3) Introduction to the phenomena ranging from molecular interactions to biological behavior at the level of cells, tissues, and organisms. Ruckenstein. Prerequisites: Linear algebra; calculus; and a good biology, chemistry, and physics background at the high school level.
16:118:505Mathematical Foundations for Biology (3) This is 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.
16:118:507Physics of Living Matter (3) Review of physical phenomena that determine the properties of biological molecules, molecular assemblies, and fundamental biological processes. Shraiman. Prerequisites: Linear algebra, differential equations, thermodynamics, and classical physics (at the junior level).
16:118:509Biophysical Chemistry (3) Principles of biomacromolecular structure and dynamics including methods for representing and visualizing these molecules; biophysical methods; and methods for studying enzyme kinetics and protein-ligand binding. Introduction to various bioinformatics resources. Baum, Berman, Ebright. Prerequisite: Permission of instructor.
16:118:511Modeling 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 of biological information. Sengupta. Prerequisites: Differential equations, linear algebra, probability and statistics; good chemistry/biology background at the high school level.
16:118:513Molecular 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. Levy, Olson. Prerequisites: Advanced undergraduate courses in physical chemistry or physics.
16:118:515Statistical Methods in Bioinformatics (3) Broadly applicable, modern statistical tools particularly important in modeling and interpreting noisy bioinformatics data. Jornsten. Prerequisites: Linear algebra and calculus.
16:118:520Algorithmic Bioinformatics: A Computer Science Perspective (3) Advanced introduction to computational molecular biology covering sequence comparison, phylogeny, gene finding, comparative genomics and genome rearrangements, and haplotype inference; focuses on analyzing the complexity and efficiency of computational methods. Farach-Colton. Prerequisite: Basic analysis of algorithms course.
16:118:601Protein 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.
16:118:602Probabilistic Graphical Models (3) Advanced introduction to probabilistic graphical models, from Bayesian networks to factor graphs. Modeling techniques and advanced inference and learning algorithms, methods particularly relevant to current bioinformatics research. Pavlovic. Prerequisites: Knowledge of probability and random processes.
16:118:603Regulation of Gene Transcription (3) Broad review of the regulation of gene transcription combining biophysics, structural biology, systems biology, bioinformatics, and control theory points of view. Prerequisite: Permission of instructor.
16:118:605Pattern Formation in Biology: Signal Transduction, Biomolecular, and Genetic Networks in Development (3) Combines a molecular genetics description with quantitative modeling and physical view of pattern formation. Topics include robustness in genetic networks, limb regeneration, cell survival and death in development. Prerequisite: Permission of instructor.
16:118:611Complex Systems: Physical Reality and Mathematical Models (3) Deterministic equations and probabilistic ideas from statistical mechanics will be used to describe organized behavior emerging from many interacting simple entities. Complex systems include the brain and chemical phase transitions. Lebowitz. Prerequisites: Familiarity with statistical mechanics and/or probability theory and dynamical systems theory.
16:118:613Selected 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.
16:118:616Special Topics in Quantitative Biology (3) Prerequisite: Permission of instructor.
16:118:621,622Laboratory Rotation in BIOMAPS Institute Laboratories (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 BIOMAPS graduate program. No more than a total of 3 credits of laboratory rotation can be earned.
16:118:701,702BIOMAPS Institute Research (BA,BA)
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