Here is information about BCB class enrollment for spring 2025. Classes with no meeting time listed are not shown. Feel free to contact me with any questions/comments/issues. I am happy to add any departments that are missing from these listings, just reach out to ask!
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Data also available for: COMP, AAAD, AMST, ANTH, APPL, ASTR, BCB, BIOC, BIOL, BIOS, BMME, BUSI, CHEM, CLAR, CMPL, COMM, DATA, DRAM, ECON, EDUC, EMES, ENEC, ENGL, ENVR, EPID, EXSS, GEOG, HBEH, INLS, LING, MATH, MEJO, NSCI, PHIL, PHYS, PLAN, PLCY, POLI, PSYC, SOCI, STOR, WGST
Data last updated: 2025-01-23 11:51:39.835114
| Class Number | Class | Meeting Time | Instructor | Room | Unreserved Enrollment | Reserved Enrollment | Total Enrollment | Wait List |
|---|---|---|---|---|---|---|---|---|
| 8972 | BCB 645 - 001 Quantitative Genetics of Complex Traits | TuTh 11:00AM - 12:15PM | Martin Ferris | TBA | 3/20 | Seats filled | 3/20 | 0/999 |
| Description: Students will learn about various topics that form the basis for understanding quantitative genetics of complex traits with biomedical and agricultural relevance. The ultimate goal of quantitative genetics in this postgenomic era is prediction of phenotype from genotype, namely deducing the molecular basis for genetic trait variation. 1 units. | ||||||||
| 17571 | BCB 670 - 001 Structural Bioinformatics | TuTh 2:00PM - 3:15PM | Konstantin Popov | Marsico Hall-Rm 2004 | 0/30 | Seats filled | 0/30 | 0/999 |
| Description: Prerequisites, BIOC 650, 651, and 652; permission of the instructor for students lacking the prerequisites. A combined lecture/computer lab course introducing the methods and principles of biological data management as this relates to macromolecular sequence analysis. Course intended primarily for graduate students. 1 units. | ||||||||
| 7048 | BCB 710 - 001 Bioinformatics Colloquium | Mo 4:00PM - 5:00PM | Anthony Zannas | Bioinformatics Bldg-Rm 1131 | 47/999 | Seats filled | 47/999 | 0/999 |
| Description: The goal of this course is to expose students to the research interests of BCB faculty and to provide an opportunity for students to present their own work and receive input from their peers and faculty. 1 units. | ||||||||
| 7053 | BCB 717 - 001 Structural Bioinformatics | TuTh 2:00PM - 3:15PM | Konstantin Popov | TBA | 17/30 | Seats filled | 17/30 | 0/999 |
| Description: Course introduces methods and techniques for protein modeling. 1 units. | ||||||||
| 7259 | BCB 718 - 001 Computational Modeling Laboratory | TuTh 2:00PM - 3:15PM | Adam Palmer | TBA | 0/20 | Seats filled | 0/20 | 0/999 |
| Description: This course provides a practical introduction to computational modeling of cellular systems. We will focus on how to choose and implement different modeling techniques-deterministic, stochastic, and inferred-to describe the same biological phenomenon. Although no formal mathematical or computational background is required, the course will involve a fair amount of programming in MATLAB. 1 units. | ||||||||
| 6780 | BCB 723 - 001 Topics in Statistical Genetics and Genomics | TuTh 12:30PM - 1:45PM | YUN LI, Fei Zou | Mary Ellen Jones-Rm 3112 | 6/25 | Seats filled | 6/25 | 0/999 |
| Description: This module introduces selected concepts and techniques in statistical genetics and genomics. 1 units. | ||||||||
| 16872 | BCB 730 - 001 Fundamentals of Quantitative Image Analysis for Light Microscopy | TuTh 3:00PM - 4:30PM | Michelle Itano, Tessa-Jonne Ropp | Mary Ellen Jones-Rm 3116 | 8/10 | Seats filled | 8/10 | 0/999 |
| Description: This course is a practical introduction to quantitative analysis of light microscopy images. During the class students will follow tutorials that will guide them through common tasks in analysis of biological images. They will be introduced to basic concepts of image processing like image registration, filtering, object detection etc. 1 units. | ||||||||
| 16908 | BCB 750 - 001 MOLECULAR DYNAMICS | TuTh 2:00PM - 3:15PM | Elisa Pieri, Yinglong Miao | TBA | 6/25 | Seats filled | 6/25 | 0/999 |
| Description: Prerequisite, BCB or BIOC 670. The course is designed to introduce the most important concepts, methods, and software programs used in Molecular Dynamics (MD) simulations. Topics include, but are not limited to, computational models, force fields, simulation algorithms, enhanced sampling, protein folding, ligand binding, protein-protein/nucleic acid interactions, drug design, QM/MM, photobiuology, and machine learning. The goal is to help the students to rapidly learn MD as a powerful computational technique and use it to solve relevant problems in their own research. 1 units. | ||||||||
| 7278 | BCB 888 - 001 Responsible Conduct of Research | Fr 2:30PM - 4:00PM | BRIAN KUHLMAN | Genetic Medicine Re-Rm 3007 | 1/25 | Seats filled | 1/25 | 0/999 |
| Description: Classroom-based graduate level course covering critical topics for ethical and responsible conduct of experimental research. There are both classroom lecture, workshop-type discussion components, in addition to assigned outside of class readings. Case studies and hypothetical situations involving the most likely scenarios confronting graduate students will be covered, these topics include: mentor and mentee relationships, publication authorship, collaboration, peer review, conflicts of interest, intellectual property, plagiarism, data acquisition and data processing. Restricted to students in good standing as a graduate student at UNC; In the unlikely event that classroom space is limited, preference will be given to graduate students who have previously received external federal funding sources and may require a refresher course in RCR. 1 units. | ||||||||
| 7305 | BCB 891 - 007 Special Topics | Th 10:00AM - 11:00AM | To be Announced | TBA | 0/15 | Seats filled | 0/15 | 0/999 |
| Description: Advance topics in current research in statistics and operations research. 1 - 3 units. | ||||||||
| 9000 | BCB 899 - 001 Special Topics in Bioinformatics and Computational Biology | Th 10:00AM - 11:00AM | Qingyun Liu, Daniel Dominguez | TBA | 29/40 | Seats filled | 29/40 | 0/999 |
| Description: Special topics course in the Bioinformatics and Computational Biology Curriculum. Topics will vary. 1 - 6 units. | ||||||||