Faculty : Computer Science and Information Technology Programs

School : Program of Bioinformatics

Course Description :

This course focuses on human body structure and function. Starting at biological macromolecules, levels of organization, cells, tissues and ending at the level of human body systems (skeletal, muscular, nervous, cardiovascular, respiratory and digestive systems). Topics include Page 83 human inheritance (from chromosomes to biotechnology), human reproduction (male and female anatomy and physiology), fetal development and birth. Students will be introduced as well to the genome structure and function, gene expression, protein synthesis, proteomics, and role in human biology. For the Lab part, the goal is to get students to be acquainted with the different technologies that produced data such as sequences and real time PCR. Students will be performing laboratory work that include, bacterial growth using incubator, DNA isolation, RNA isolation, Protein isolation, electrophoresis of the three macro molecules, conventional PCR, Real time PCR, Sequencing of isolated DNA fragment.

Faculty : Computer Science and Information Technology Programs

School : Program of Bioinformatics

Course Description :

Relationships and intersections of Information Technology, Regulations and Standards, Health Cara Data and Health Information Systems. Data and dataflow in hospital, type of data, models of presentation, general ledger, cost accounting, evaluation techniques, budgeting and analysis, material management, inventory control. Hospital Information System (HIS), Electronic Medical Records (EMR), Electronic Health Records (EHR), Reporting. Picture Archiving and Communication System (PACS). Fundamentals and management of information systems, planning of projects, attendance of projects, system analysis, system evaluation, selection of systems, implementation of systems, finishing a project. Health care laws (e.g., HIPAA) and professional ethics (e.g., IEEE-ACM Software Engineering Code of Ethics and Professional Practice) to cases involving the use of health information systems. For the Lab part, the goal is to get students to be acquainted with knowledge and skills in health care information systems, dataflow in hospital, type of data, models of presentation. Students will be performing laboratory work that include, general ledger, cost accounting, evaluation techniques, budgeting and analysis, material management, inventory control. The lab part experiments in HIS, EMR, EHR, reporting and picture archiving and communication system (PACS). Fundamentals and management of information systems, planning of projects, attendance of projects, system analysis, system evaluation, selection of systems, implementation of systems, finishing a project are also included

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 :

Introduction to Bioinformatics, principles and computational methods for organizing and maintaining large volume of genomic data. Genome sequencing projects, proteomics and gene expression studies. Fundamentals theories will be presented to define the modeling philosophy and principles as well as simulation methodologies for the integration of genomic and physiological data in the analysis of complex biological processes and for diagnostic matters. For the Lab part, this Lab emphasizes the hands-on application of bioinformatics methods to biological problems. Students will gain experience in the application of existing software, as well as in combining approaches to anCSCr specific biological questions. Sequence alignment, fast database search, profiles and motifs, comparative genomics, gene finding, phylogenetic

Faculty : Computer Science and Information Technology Programs

School : Program of Bioinformatics

Course Description :

This course is introduced to understand the major issues concerning the algorithmic analysis of genomes, sequences and structures. Various existing methods will be critically described and the strengths and limitations of each will be discussed. The course starts covering the modern genome projects, the genome/protein sequence databases, and the motif databases. After that, the sequence alignment and sequence similarity search techniques will be studied. The course also refers to techniques of Protein Structure Prediction. Students are also expected to study the Gene Regulatory Signals/Modules/Networks. Next, genome-related topics like Genome Variation and Genome-Wide Association Studies will be covered. Finally, techniques related to the Metabolic Pathways will be highlighted.