Postgraduate Course: Introduction to web site and database design for drug discovery (BICH11007)
Course Outline
| School | School of Biological Sciences |
College | College of Science and Engineering |
| Credit level (Normal year taken) | SCQF Level 11 (Postgraduate) |
Availability | Not available to visiting students |
| SCQF Credits | 10 |
ECTS Credits | 5 |
| Summary | This course is designed to give the students an appreciation and some limited experience of the tasks involved in generating a resource for structural data mining.
Large numbers of websites now exist that give access to meta databases that have been derived from chemical or biological structure databases.
This course is about the techniques required for initial dataset selection, mining of the primary data and creation of a database to hold the results of this mining, and then finally the design of a web based interface to provide access to that data. |
| Course description |
¿ Current structural databases and their development history.
¿ Data set selection methods, screening for redundancy and source bias
¿ Data set preparation and validation
¿ Techniques for dataset mining.
¿ Database creation and curation.
¿ Website development for database access
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Entry Requirements (not applicable to Visiting Students)
| Pre-requisites |
|
Co-requisites | |
| Prohibited Combinations | |
Other requirements | None |
Course Delivery Information
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| Academic year 2015/16, Not available to visiting students (SS1)
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Quota: None |
| Course Start |
Block 4 (Sem 2) |
Timetable |
Timetable |
| Learning and Teaching activities (Further Info) |
Total Hours:
100
(
Lecture Hours 20,
Programme Level Learning and Teaching Hours 2,
Directed Learning and Independent Learning Hours
78 )
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| Assessment (Further Info) |
Written Exam
0 %,
Coursework
100 %,
Practical Exam
0 %
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| Additional Information (Assessment) |
An essay based question will account for 50% and a practical exercise consisting of a database development project will account for the other 50%. |
| Feedback |
Not entered |
| No Exam Information |
Learning Outcomes
After completing this course, students should be able to:
¿ demonstrate an understanding of the technologies that underpin current structural databases
¿ demonstrate the ability to successfully mine a small example dataset, place results in a relational database system, & produce a simple website to access that data.
¿ understand simple SQL, write PHP based web pages that interface with a database and use Javascript to provide interaction with a web page and provide search parameter checking.
¿ Analyse the structure of a small biological dataset and design an appropriate relation database structure to represent this. They should also be able interpret the code that lies behind dynamic web pages
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Additional Information
| Graduate Attributes and Skills |
Database management and Web site development |
| Keywords | IntroWDD |
Contacts
| Course organiser | Dr Paul Taylor
Tel: (0131 6)50 7058
Email: |
Course secretary | Miss Vicky Mactaggart
Tel: (0131 6)51 7052
Email: |
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