56:121:510-511
Essentials of Biological Chemistry I,II (3,3)
Two-semester course covering topics of biological chemistry required for research in computational and integrative biology. Course is open to graduate students in the program upon the recommendation of their advisory committees.
Prerequisite: 56:121:510 is prerequisite for 56:121:511.
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56:121:520-521
Essentials of Biomathematics I,II (3,3)
Two-semester course covering topics of biomathematics required for research in computational and integrative biology. Course is open to graduate students in the program upon the recommendation of their advisory committees.
Prerequisite: 56:121:520 is prerequisite for 56:121:521.
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56:121:530-531
Essentials of Computer Science I,II (3,3)
Two-semester course covering topics of computer science required for research in computational and integrative biology. Course is open to graduate students in the program upon the recommendation of their advisory committees.
Prerequisite: 56:121:530 is prerequisite for 56:121:531.
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56:121:540-541
Essentials of Integrative Biology I,II (3,3)
Two-semester course covering topics of systems biology required for research in computational and integrative biology. Course is open to graduate students in the program upon the recommendation of their advisory committees.
Prerequisite: 56:121:540 is prerequisite for 56:121:541.
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56:121:555
Cheminformatics (3)
The course will teach the cheminformatics algorithms, workflows, and other relevant computational tools that the students may use or access in the future computer-aided drug discovery (CADD) work of pharmaceutical companies and academic institutes. The important knowledge of the second part of class includes chemical descriptors, chemical similarity, quantitative structure activity relationship (QSAR) modeling, model applicability domain, and virtual screening. The students will learn how to use the knowledge of cheminformatics to create the QSAR models and use the models to identify novel drug-like compounds.
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56:121:560
Biophysics (3)
An introductory biophysics course for graduate students with at least two semesters of undergraduate physics, intended for students trained in either the physical or life sciences. Themes will include both novel physical insights gained from study of biological systems as well as the power of physical descriptions for advancing biological understanding. The course will explore random and diffusive phenomena in cellular processes, the effect of frictional forces on molecular motion in the low Reynolds number environment of the cell, and the role of entropy and free energy in driving reactions and assembly.
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56:121:565
Essentials of Biophysics (3)
A course in basic physics for graduate students with an emphasis in the life sciences. The course will focus on classical Newtonian dynamics, electrostatics, thermodynamics, and fluid dynamics with applications for molecular and cellular systems. Students will also conduct multiple readings from current topics in biophysics for classroom discussion, including DNA electrostatics, diffusion of lipids and proteins, molecular motors, and biodynamics.
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56:121:590
Computational Modeling of Biological Systems (4)
Team-taught course for students in the graduate program in computational and integrative biology. Emphasizes collaborative approaches to research in computational and integrative biology.
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56:121:601
Seminar in Computational and Integrative Biology (1)
Research presentations by students, faculty, and outside speakers. Open to students in the graduate program in computational and integrative biology.
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56:121:620
Laboratory Rotation Practicum (4)
Short-term involvement in a series of projects in different research laboratories over the course of a semester. Open to students in the graduate program in computational and integrative biology.
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56:121:630
Manuscript and Proposal Composition (1)
This workshop is an introduction to writing in the scientific genre, with a focus on preparation of proposals and manuscripts. Students will be guided through preparation of a fellowship or dissertation proposal, learn expectations for publication-quality data, figures, and text, and hone their ability to write scientifically through feedback from the instructor and peers.
Prerequisite: Graduate standing.
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56:121:701
Master's Project (4)
Required project for master's degree in computational and integrative biology.
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56:121:710
Dissertation Research (BA)
Research toward the doctoral degree in computational and integrative biology.
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56:121:897
Registration Certification Credit (0)
Graduate students registered for less than 9 credits, but considered full time and pay a (nominal) student fee.
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56:121:898
Registration Certification Credit (0)
Graduate students not registered for coursework, but considered full time and pay a part-time student fee.
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56:121:899
Registration Certification Credit (0)
This course is designed for graduate students who are matriculation continued taking 0 credits, but considered full time and pay (nominal) student fees.
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Graduate School-Camden 
