Courses
Courses primarily for undergraduates:
Credits: 1-5. Repeatable, maximum of 9 credits.
Prereq: Instructor Permission for Course
(Typically Offered: Fall, Spring, Summer)
Courses primarily for graduate students, open to qualified undergraduates:
(Cross-listed with COMS 5680/ GDCB 5680/ STAT 5680).
Credits: 3. Contact Hours: Lecture 3.
Prereq: Graduate Standing or Permission of Instructor
Statistical models for sequence data, including applications in genome annotation, motif discovery, variant discovery, molecular phylogeny, gene expression analysis, and metagenomics. Statistical topics include model building, inference, hypothesis testing, and simple experimental design, including for big data/complex models.
(Typically Offered: Spring)
(Cross-listed with COMS 5700/ CPRE 5700/ GDCB 5700/ STAT 5700).
Credits: 3. Contact Hours: Lecture 3.
Prereq: Graduate Standing or Permission of Instructor
Algorithmic and statistical approaches in computational functional genomics and systems biology. Analysis of high throughput biological data obtained using system-wide measurements. Topological analysis, module discovery, and comparative analysis of gene and protein networks. Modeling, analysis, and inference of transcriptional regulatory networks, protein-protein interaction networks, and metabolic networks. Dynamic systems and whole-cell models. Ontology-driven, network based, and probabilistic approaches to information integration.
(Typically Offered: Spring)
Credits: 1-30. Repeatable.
Prereq: Instructor Permission for Course
(Cross-listed with BBMB 5920).
Credits: 1. Contact Hours: Lecture 1.
Repeatable, maximum of 3 times.
Prereq: Graduate Standing or Permission of Instructor
Workshop to prepare for careers in science with professional development, including a survey of science careers using MyIDP, a career development tool. Topics include navigating career paths, internships, application portfolios, and appropriate use of social media. Emphasis on CV preparation, cover letters, job interviews, and elevator talks. Students will prepare, and evaluate grant proposals.
(Typically Offered: Fall)
Credits: Required. Repeatable.
Prereq: Graduate Standing or Permission of Instructor
Off-campus work periods for graduate students in the field of bioinformatics and computational biology.
(Typically Offered: Fall, Spring, Summer)
Credits: 1-30. Repeatable.
Prereq: Instructor Permission for Course
Courses for graduate students:
Credits: 1-4. Contact Hours: Lecture 4.
Repeatable, maximum of 4 credits.
Topics of interest in the major research areas of computational molecular biology, including genomics, structural genomics, functional genomics, and computational systems biology. (Typically Offered: Fall, Spring, Summer)
Credits: 1. Contact Hours: Lecture 1.
Repeatable.
Student research presentations. (Typically Offered: Spring)
Credits: 1. Contact Hours: Lecture 1.
Repeatable.
Faculty research series.
Credits: 1-30. Repeatable.
Graduate research projects performed under the supervision of selected faculty members in the Bioinformatics and Computational Biology major. (Typically Offered: Fall, Spring, Summer)
Credits: 1-30. Repeatable.
Prereq: Department Permission for Course
(Typically Offered: Fall, Spring, Summer)