Course Specification

Transcription

1 1 Course Specification Program on which the course is given: Department offering the program: Department offering the course: Academic year /level: Date of specification approval: 2008/2009 Masters Degree students A- Basic Information Title Lecture Three Hours /Week Code: IS808 B- Professional Information 1- Overall Aims of Course: 1) The primary goal of This Course is to increase the understanding of biological computing. it focuses on developing and applying computationally intensive techniques (e.g., data mining, and machine learning algorithms) to achieve this goal. 2) It aims to entail the creation and advancement of databases, algorithms, computational and statistical techniques, and theory to solve formal and practical problems arising from the management and analysis of biological data. 3) It aims to higlight the major research efforts in the field include sequence alignment, gene finding, genome assembly, protein structure alignment, protein structure prediction, prediction of gene expression and proteinprotein interactions, and the modeling of evolution. 2- Intended Learning Outcomes of Course: a) Knowledge and Understandings: The course aims to give the student: a1) knowledge of a range of bioinformatic concepts, tools and techniques and understand the principles behind these techniques and be able to apply them in original situations. a2) knowledge to place his/her existing knowledge of biology, mathematics or computing into a bioinformatic context. a3) The ability to address information systems issues according to the student s interests and courses taken.

2 2 b) Intellectual Skills: At the end of the course, the student will know how to: b1) Demonstrate skills in managing research-based work in bioinformatics, especially in an industrial setting. b2) Carry out an original research project involving the critical appraisal of literature review, problem specification and analysis in bioinformatics. b3) Specify, test and replicate computational solutions in the analysis of biological data. b7) Plan strategic information systems. c) Professional and Practical Skills: At the end of the course, the student will be able to: c1) Demonstrate a comprehensive understanding and evaluation of the main features of commonly applied techniques and methodologies in bioinformatics and make a case for bioinformatic solutions in analyzing common problems in industry. c2) Demonstrate knowledge of a range of specific computational and mathematical techniques in analyzing biological data. c5) Deal with complex issues in of medical information systems security. d) General and Transferable Skills: At the end of the course, the student will have the ability to: d1) Manage their own learning and to conduct independent and effective study. d2) Undertake a piece of self-directed research in bioinformatics. e) Attitude: At the end of the course, the student will be able to: e1) Develop ethical behaviour during laboratory assignments and projects. e2) Enhance self-study abilities. e4) Write research studies and complete a dissertation. 3- Course Content:

3 3 Lecture Topic Introduction to medical information systems - What is medical IS - Applications of medical IS - Limitations - Current research issues Electronic health records - Importance - Key components - Clinical decision support - Examples Interoperability - The need for interoperability - Regional health information organizations (RHIO) - Data standards - Health insurance portability and accountability Patient informatics - Internet and patient information - Patient web portals - Personal health records Online medical resources - Free commercial medical web sites - Subscription resources Mobile technology - Basic PDA functions - Medical PDA programs - PDA resources Disease management and disease registries - Definition of disease registries - Structure of disease registries E-Subscribing - E-Subscribing studies and projects - E-Subscribing obstacles and issues Telemedicine - Traditional telemedicine - Telerounding - Telemonitoring No. of Hrs Lecture Tutorial ILOs a1, b a1, b a2, b2, a a1, b c1, a3, c c a1, c c c1

4 4 - Telemanagement - Barriers to telemedicine Picture archiving and communication systems - PACS basics - PACS advantages and disadvantages Bioinformatics - Definitions - Bioinformatics programs Public health informatics - Public health information records - Surveillance - E-collaboration - E-forms - Project a a1, b1, b e1, e2, b7, e4 4- Teaching and Learning Methods: Lectures Tutorials Class discussions 5- Assessment: a) Student Assessment Methods: Assignments Midterm written exam Oral exam Practical exam Final written exam b) Assessment Schedule and Weighting: Four assignments with a rate one assignment every 2 weeks (9%) One written mid-term exam at the sixth week of the semester (9%) One oral and practical exam at the end of the semester (19%) Final written exam (63%)

5 5 6- List of Recommended Textbooks: Robert Hoyt, Melanie Sutton Phd, Ann Yoshihashi, Medical Informatics: Practical Guide for the Healthcare Professional, Lulu.com, ISBN-10: , Hsinchun Chen, Sherrilynne S. Fuller, Carol Friedman, William Hersh, Medical Informatics: Knowledge Management and Data Mining in Biomedicine, Springer, ISBN-10: X, Facilities Required for Teaching and Learning: a) Vital Facilities: - Computer lab supported by Oracle and SQL Server or MYSQL software - Data show device. b) Lecturing Facilities: - Over-Head Projector. Course Lecture /Coordinator: Head of the Department Prof. Dr. Hamed Nassar