Computational Biology (BIOCB)Agriculture and Life Sciences
Showing 8 results.
Course descriptions provided by the Courses of Study 2024-2025. The Catalog/Courses of Study 2025-2026 is scheduled to publish mid-June.
Last Updated
- Schedule of Classes - April 21, 2025 7:21PM EDT
- Course Catalog - April 21, 2025 7:07PM EDT
Classes
BIOCB 2010
Course Description
This class is designed to inspire students in the life sciences to see the power of Computational Biology in advancing fundamental research. The course will initially be team taught by experts in diverse ... view course details
Regular Academic Session. Combined with: BIOCB 6010
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Credits and Grading Basis
3 Credits GradeNoAud(Letter grades only (no audit))
BIOCB 4810
Course Description
Population genetics is the study of the transmission of genetic variation through time and space. This course will provide a comprehensive introduction to the fundamental concepts and methods in population ... view course details
Regular Academic Session. Choose one lecture and one discussion. Combined with: BIOMG 4810
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Credits and Grading Basis
4 Credits Graded(Letter grades only)
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Class Number & Section Details
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Meeting Pattern
- MWF
- Aug 25 - Dec 8, 2025
Instructors
Messer, P
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Additional Information
Instruction Mode: In Person
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Class Number & Section Details
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Meeting Pattern
- M
- Aug 25 - Dec 8, 2025
Instructors
Messer, P
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Additional Information
Instruction Mode: In Person
BIOCB 4840
Course Description
Computational methods for analyzing genetic and genomic data. Topics include sequence alignment, hidden Markov Models for discovering sequence features, motif finding using Gibbs sampling, phylogenetic ... view course details
Regular Academic Session. Choose one lecture and one discussion. Combined with: BIOCB 6840, CS 4775
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Credits and Grading Basis
4 Credits Stdnt Opt(Letter or S/U grades)
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Class Number & Section Details
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Meeting Pattern
- TR
- Aug 25 - Dec 8, 2025
Instructors
Kim, J
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Additional Information
Instruction Mode: In Person
Prerequisite: BTRY 3010 and CS 2110 or equivalents.
BIOCB 6010
Course Description
This class is designed to inspire students in the life sciences to see the power of Computational Biology in advancing fundamental research. The course will initially be team taught by experts in diverse ... view course details
Regular Academic Session. Combined with: BIOCB 2010
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Credits and Grading Basis
3 Credits GradeNoAud(Letter grades only (no audit))
BIOCB 6840
Course Description
Computational methods for analyzing genetic and genomic data. Topics include sequence alignment, hidden Markov Models for discovering sequence features, motif finding using Gibbs sampling, phylogenetic ... view course details
Regular Academic Session. Choose one lecture and one discussion. Combined with: BIOCB 4840, CS 4775
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Credits and Grading Basis
4 Credits Stdnt Opt(Letter or S/U grades)
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Class Number & Section Details
-
Meeting Pattern
- TR
- Aug 25 - Dec 8, 2025
Instructors
Kim, J
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Additional Information
Instruction Mode: In Person
Prerequisite: BTRY 3010 and CS 2110 or equivalents.
BIOCB 6890
Course Description
Graduate seminar on current topics in population genetics. Readings are chosen primarily from current scientific literature. Participation in discussion and presentation of at least one paper required ... view course details
Regular Academic Session.
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Credits and Grading Basis
1 Credit Sat/Unsat(Satisfactory/Unsatisfactory)
BIOCB 7600
Course Description
Graduate seminar on methods for building models of biological systems using data, with an emphasis on recent methods including machine learning tools. Students will read and discuss recent literature in ... view course details
Regular Academic Session.
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Credits and Grading Basis
1 Credit S/U NoAud(Satisfactory/Unsatisfactory (no audit))
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Class Number & Section Details
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Meeting Pattern
- W
Instructors
Hein, A
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Additional Information
Instruction Mode: In Person
For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/
BIOCB 7700
Course Description
Weekly seminar series on recent advances in statistical genetics. A selection of the latest papers in the field are read and discussed. Methods are stressed, but biological results and their significance ... view course details