Firas Khatib

faculty

Firas Khatib, PhD

Associate Professor

Computer & Information Science

Research Website

Contact

508-999-8265

508-999-9144

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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.

Part I of two-semester sequence of team development of a software product for a specific customer. This capstone project utilizes and integrates knowledge and skills acquired through study of software engineering. Provides hands-on experience with large-scale problem from conception to implementation of the solution. Is conducted in a framework of well-defined low-ceremony software process. The lecture covers software engineering models, quality management, risk management, and provides introduction to software processes. Technical, logistical, and social issues associated with software development are addressed.

Part I of two-semester sequence of team development of a software product for a specific customer. This capstone project utilizes and integrates knowledge and skills acquired through study of software engineering. Provides hands-on experience with large-scale problem from conception to implementation of the solution. Is conducted in a framework of well-defined low-ceremony software process. The lecture covers software engineering models, quality management, risk management, and provides introduction to software processes. Technical, logistical, and social issues associated with software development are addressed.

Part I of two-semester sequence of team development of a software product for a specific customer. This capstone project utilizes and integrates knowledge and skills acquired through study of software engineering. Provides hands-on experience with large-scale problem from conception to implementation of the solution. Is conducted in a framework of well-defined low-ceremony software process. The lecture covers software engineering models, quality management, risk management, and provides introduction to software processes. Technical, logistical, and social issues associated with software development are addressed.

Part I of two-semester sequence of team development of a software product for a specific customer. This capstone project utilizes and integrates knowledge and skills acquired through study of software engineering. Provides hands-on experience with large-scale problem from conception to implementation of the solution. Is conducted in a framework of well-defined low-ceremony software process. The lecture covers software engineering models, quality management, risk management, and provides introduction to software processes. Technical, logistical, and social issues associated with software development are addressed.

Part I of two-semester sequence of team development of a software product for a specific customer. This capstone project utilizes and integrates knowledge and skills acquired through study of software engineering. Provides hands-on experience with large-scale problem from conception to implementation of the solution. Is conducted in a framework of well-defined low-ceremony software process. The lecture covers software engineering models, quality management, risk management, and provides introduction to software processes. Technical, logistical, and social issues associated with software development are addressed.

Part I of two-semester sequence of team development of a software product for a specific customer. This capstone project utilizes and integrates knowledge and skills acquired through study of software engineering. Provides hands-on experience with large-scale problem from conception to implementation of the solution. Is conducted in a framework of well-defined low-ceremony software process. The lecture covers software engineering models, quality management, risk management, and provides introduction to software processes. Technical, logistical, and social issues associated with software development are addressed.

Prerequisites: Completion of three core courses.   Development of a detailed, significant project in computer science under the close supervision of a faculty member, perhaps as one member of a student team. This project may be a software implementation, a design effort, or a theoretical or practical written analysis. Project report with optional oral presentation must be evaluated by three faculty members including the project supervisor.  

Prerequisites: Completion of three core courses.   Development of a detailed, significant project in computer science under the close supervision of a faculty member, perhaps as one member of a student team. This project may be a software implementation, a design effort, or a theoretical or practical written analysis. Project report with optional oral presentation must be evaluated by three faculty members including the project supervisor.  

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

Additional links