Here is information about BCB class enrollment for fall 2024. 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!
Click here to show class descriptions. Click here to hide them.
Data also available for: COMP, AAAD, AMST, ANTH, APPL, ASTR, BCB, BIOL, BIOS, BMME, CHEM, CLAR, CMPL, COMM, DATA, DRAM, ECON, EDUC, ENEC, ENGL, ENVR, EPID, EXSS, GEOG, HBEH, INLS, LING, MATH, MEJO, PHIL, PHYS, PLAN, PLCY, POLI, PSYC, SOCI, STOR, WGST
Data last updated: 2024-09-04 10:39:29.713556
| Class Number | Class | Meeting Time | Instructor | Room | Unreserved Enrollment | Reserved Enrollment | Total Enrollment | Wait List |
|---|---|---|---|---|---|---|---|---|
| 4266 | BCB 710 - 001 Bioinformatics Colloquium | Mo 4:00PM - 5:00PM | William Valdar, Jeff ROACH | 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. | ||||||||
| 7961 | BCB 715 - 001 Mathematical and Computational Approaches to Modeling Signaling and Regulatory Pathways | TuTh 2:00PM - 3:15PM | TIMOTHY ELSTON | Mary Ellen Jones-Rm 3112 | 20/25 | Seats filled | 20/25 | 0/999 |
| Description: The course provides an introduction to the basic mathematical techniques used to develop and analyze models of biochemical networks. Both deterministic and stochastic models are discussed. 1 units. | ||||||||
| 6550 | BCB 720 - 001 Introduction to Statistical Modeling | TuTh 11:00AM - 12:15PM | William Valdar | Marsico Hall-Rm 2004 | 27/30 | Seats filled | 27/30 | 0/999 |
| Description: This course introduces foundational statistical concepts and models that motivate a wide range of analytic methods in bioinformatics, statistical genetics, statistical genomics, and related fields. Students are expected to know single-variable calculus, be familiar with matrix algebra, and have some programming experience. 3 units. | ||||||||
| 7962 | BCB 722 - 001 Population Genetics | TuTh 2:00PM - 3:15PM | Dan Schrider | Marsico Hall-Rm 6004 | 18/30 | Seats filled | 18/30 | 0/999 |
| Description: This short course will cover methods of inferring/estimating natural selection, including the Dn/Ds ratio, the McDonald-Kreitman test, and the Poisson Random Field model. The course will feature discussions of high-profile publications that describe the application of these methods to yield insights into the forces that have shaped organismal evolution. 1 units. | ||||||||
| 12839 | BCB 724 - 001 Data Communication | TuTh 2:00PM - 3:15PM | Michael Love | Marsico Hall-Rm 6004 | 28/30 | Seats filled | 28/30 | 0/999 |
| Description: This course is designed to prepare students to be effective communicators of the results of analyses of biological and biomedical data. Students will learn methods for data assessment and exploratory data analysis (EDA), and how to visualize, write, and talk about data in contexts such as emails, reports, lab meetings, publications, and conference presentations. No technical or statistical background required for enrollment. 1 units. | ||||||||
| 14918 | BCB 784 - 001 Introduction to Computational Biology | MoWe 1:25PM - 2:40PM | Michael Love | McGavran-Greenberg -Rm 2306 | 19/20 | Seats filled | 19/20 | 0/999 |
| Description: Prerequisites, BIOS 661 and 663; Permission of the instructor for students lacking the prerequisites. Molecular biology, sequence alignment, sequence motifs identification by Monte Carlo Bayesian approaches, dynamic programming, hidden Markov models, computational algorithms, statistical software, high-throughput sequencing data and its application in computational biology. 3 units. | ||||||||
| 4267 | BCB 850 - 001 Training in Bioinformatics and Computational Biology Teaching | MoTuWeThFr 8:00AM - 5:00PM | William Valdar, Michael Love | Genetic Medicine Re-Rm 5044 | 9/20 | Seats filled | 9/20 | 0/999 |
| Description: Principles of bioinformatic and computational biology pedagogy. Students are responsible for assistance in teaching BCB and work under the supervision of the faculty, with whom they have regular discussion of methods, content, and evaluation of performance. 3 units. | ||||||||
| 9833 | BCB 870 - 001 Writing Fellowship Proposals | TuTh 12:15PM - 1:30PM | Jason Stein | Mary Ellen Jones-Rm 3112 | 19/20 | Seats filled | 19/20 | 0/999 |
| Description: Provides practical experience to predoctoral students in writing fellowship proposals, using the NIH F31 as a template. Students will have weekly writing assignments, with feedback given by students and faculty. Open to 2nd and 3rd year students in the Curriculum or by permission of the instructor. 1 units. | ||||||||
| 9804 | BCB 899 - 001 Special Topics in Bioinformatics and Computational Biology | Th 10:00AM - 11:00AM | Jeremy Wang, Katherine Hoadley | Bioinformatics Bldg-Rm 1131 | 30/50 | Seats filled | 30/50 | 0/999 |
| Description: Special topics course in the Bioinformatics and Computational Biology Curriculum. Topics will vary. 1 - 6 units. | ||||||||
| 4269 | BCB 993 - 001 Master's Research and Thesis | MoTuWeThFr 8:00AM - 5:00PM | William Valdar, Michael Love | Genetic Medicine Re-Rm 5009 | 0/999 | Seats filled | 0/999 | 0/999 |
| Description: Students are not accepted for master's program. 3 units. | ||||||||
| 4270 | BCB 994 - 001 Doctoral Research and Dissertation | MoTuWeThFr 8:00AM - 5:00PM | William Valdar, Michael Love | Genetic Medicine Re-Rm 5012 | 65/999 | Seats filled | 65/999 | 0/999 |
| Description: Credit for work done towards doctorate. 3 units. | ||||||||