Faculty : Computer Science and Information Technology Programs

School : Program of Computer Science

Course Description :

No Courses Description

Faculty : Computer Science and Information Technology Programs

School : Program of Bioinformatics

Course Description :

This course provides an introduction to the features of biological data, how that data is organized efficiently in databases, and how existing data resources can be utilized to solve a variety of biological problems. Relational databases, object oriented databases, ontologies, data modeling and description, survey of current biological databases with respect to above, implementation of a database focused on a biological topic. Biopython and R programming. For the Lab part, this Lab emphasizes the hands-on biological data, how that data is organized efficiently in databases, and how existing data resources are utilized to solve a variety of biological problems. Practicing on current biological, Biopython and R programming.

Faculty : Computer Science and Information Technology Programs

School : Program of Bioinformatics

Course Description :

This course introduces the practical application of structure analysis, database searching and molecular modeling techniques to study protein structure and function. The basic concepts of macromolecular structure are reviewed together with secondary structure calculation and structure-alignment approaches as well as molecular visualization software, and web-based tools. The student will gain practical knowledge in using software techniques to: handle and compare structural information, search the Protein Data Bank site, analyze protein structure and generate 3D structures on the basis of homology.

Faculty : Computer Science and Information Technology Programs

School : Program of Bioinformatics

Course Description :

Principles of health information management. Admitting procedures, analysis of the medical records, organizing health information systems, statistics and legal aspects of medical records services. Acquisition and maintenance of health care data. Develop knowledge in the areas of numbering, filing, indices, registers, record retention, storage and retrieval systems, microfilming and optical disk storage. Billing office procedures and basic computerization in the health information management, including the keyless data entry techniques for bar coding, Page 85 smart cards, voice recognition, magnetic strip, touch screens, electronic data interchange, and optical character recognition.

Faculty : Computer Science and Information Technology Programs

School : Program of Bioinformatics

Course Description :

The course deals with algorithms with applications in bioinformatics, with a particular focus on algorithms and data structures for search, comparisons, and motif discovery in strings. The course uses biological examples to motivate algorithms and solutions, but the course's focus is on the algorithmic problems and solutions.