Bioinformatics: A New Vision for Academics 2 nd International Conference on Frontiers of Information Technology (FIT) 2006 Islamabad Pakistan December 20 - 21, 2006 Mudasser F. Wyne, Ph.D. Computer Science University of Michigan - Flint Computer Science Department Email: firstname.lastname@example.org
Bioinformatics is a new and rapidly evolving discipline that has emerged from the fields of experimental molecular biology and biochemistry, and from the artificial intelligence, database, pattern recognition, and algorithms disciplines of computer science.
Largely because of the inherently interdisciplinary nature of bioinformatics research, academia has been slow to respond to strong industry and government demands for trained scientists to develop and apply novel bioinformatics techniques to the rapidly growing freely available repositories of genetic data.
School Statistics 25 9 TOTAL 2 Schools with an undergraduate course in Bioinformatics 1 1 Schools with Graduate tracks in Bioinformatics 1 1 Schools with Doctorial degrees in Bioinformatics 9 3 Schools with Masters degrees in Bioinformatics 1 Schools with undergraduate tracks in 14 1 Schools with undergraduate degrees in Bioinformatics National Michigan
Learner is distracted by an irrelevant aspect belonging to a previous mode
Learner focuses on a relevant discipline
The learner acquires knowledge is several disciplines
But does not integrate them
Learner integrates knowledge from several discilpines around a central theme
Program Flow -1 Bioethics (3) Biostatistics (3) Bioinformatics (3) Adv. bioinformatics (3) Paper/ Project (3) Genomics (3-4) Genetics (4) Cell & Molecular Biology (4) General Biology II (4) General Biology I (4) MTH121 (4) MTH122 (4) MTH321 (3) DS & AA (3) Object Oriented Prog. (4) Organic Chemistry II (4) Organic Chemistry I (4) General Chemistry I (4) General Chemistry II (3) Prog. (4) Physics II (4) Physics I (4) Database Design (3) AI (3) Data Mining (3)
Program Flow -2 Bioethics (3) Biostats (3) Statistics (3) Bioinformatics (3) Adv. Bioinfor. (3) Paper/ Project (3) Genomics (3-4) Cell & Molecular Biology (4) Genetics (4) General Biology II (4) General Biology I (4) MTH121 (4) MTH122 (4) MTH321 (3) DS & AA (3) OO Prog. (4) BioChemistry (3) Organic Chemistry II (4) Organic Chemistry I (4) General Chemistry I (4) General Chemistry II (3) Prog. (4) Database Design (3) AI (3) Data Mining (3) VB (3) ICS (2) SW (1)
Applications of computer-based tools to the representation, annotation, and analysis of DNA and protein sequences.
Computer lab-oriented exercises employing software packages used to evaluate structural, functional, and evolutionary characteristics of animal and microbial genomes.
Fundamentals of Gene Structure and Function, Molecular Biology Databases, Information Retrieval, Database Searches, Molecular Sequence Analysis Tools, Gene Identification and Protein Structure-Function Predictions. Computational analysis of DNA data; Introduction to bioinformatics database using Pearl and SQL; configuration of UNIX workstations for bioinformatics analyses.
This course presents an algorithmic focus to problems in computational biology. Problems and solutions covered in this course include Gene Hunting, Sequence Comparison, Multiple Alignment, Gene Prediction, Trees and Sequences, Databases and Rapid sequence analysis.
Also known as:
Bioinformatics, Computational Bioinformatics, Principles of Bioinformatics II , Advanced Bioinformatics Computing,
2nd International Workshop on Web-Based Learning: Innovation and Challenges (WeLearn-2007) Amman, Jordan, 17–20 April 2007
Aims and Scope
The focus of this workshop is on web based issues in both teaching and learning. We would also like to stimulate interest in this area, expose natural collaboration among the participants, inform the larger research community of the interest and importance of this topic and create a permanent forum for evaluating innovations and relevant research activities.