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
|
| Academic year 2017/18, Not available to visiting students (SS1)
|
Quota: None |
| Course Start |
Semester 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 )
|
| Assessment (Further Info) |
Written Exam
0 %,
Coursework
100 %,
Practical Exam
0 %
|
| 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
On completion of this course, the student will be able to:
- Describe the technologies that underpin current structural or biological databases
- Demonstrate the ability to successfully mine a small example dataset.
- Construct a relational database system to contain that data.
- Construct web pages to allow access to that database.
- Analyse a biological database and propose an appropriate relational database structure to represent it.
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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 Sarah Harvey
Tel: (0131 6)51 7052
Email: |
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