Firas Khatib

Firas Khatib, PhD

Associate Professor

Computer & Information Science

Research Website

508-999-8265

508-999-9144

ejg`sha?tl`rrc-dct

Dion 307A

Education

2008University of California Santa Cruz, CAPhD in Bioinformatics
2001University of California Berkeley, CABA in Applied Mathematics

Teaching

Programs

Teaching

Courses

Introduction to the social, legal, and ethical issues of computing. Topics include how computer use affects social and work relationships and the uses of computers in society. These will be reviewed in the context of risks, privacy and intrusion, computer crime, intellectual property, and professional decision-making. Students analyze scenarios that allow them to view ethical decision-making as a crucial part of understanding the world of computing.

Introduction to the social, legal, and ethical issues of computing. Topics include how computer use affects social and work relationships and the uses of computers in society. These will be reviewed in the context of risks, privacy and intrusion, computer crime, intellectual property, and professional decision-making. Students analyze scenarios that allow them to view ethical decision-making as a crucial part of understanding the world of computing.

Advanced coverage of computational approaches used in bioinformatics. The course focuses on algorithmic challenges in analyzing molecular sequences, structures, and functions. It covers the following topics: Sequence comparison, assembly and annotation. Phylogenetic analysis. RNA secondary structure. Protein structure comparison, prediction, and docking. Microarrays, clustering, and classification. Genome, Hapmap, SNPs, and phenotypes. Proteomics and protein identification. Determining protein function and metabolic pathways.

Teaching

Online and Continuing Education Courses

Advanced coverage of computational approaches used in bioinformatics. The course focuses on algorithmic challenges in analyzing molecular sequences, structures, and functions. It covers the following topics: Sequence comparison, assembly and annotation. Phylogenetic analysis. RNA secondary structure. Protein structure comparison, prediction, and docking. Microarrays, clustering, and classification. Genome, Hapmap, SNPs, and phenotypes. Proteomics and protein identification. Determining protein function and metabolic pathways.
Register for this course.

Research

Research Interests

  • Bioinformatics
  • Citizen Science
  • Computational Biology
  • Distributed Computing
  • Protein Structure Determination/Prediction & Design

External links

Request edits to your profile