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DEGREE REGULATIONS & PROGRAMMES OF STUDY 2019/2020

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DRPS : Course Catalogue : School of Biological Sciences : Postgraduate

Postgraduate Course: Introduction to web site and database design for drug discovery (BICH11007)

Course Outline
SchoolSchool of Biological Sciences CollegeCollege of Science and Engineering
Credit level (Normal year taken)SCQF Level 11 (Postgraduate) AvailabilityNot available to visiting students
SCQF Credits10 ECTS Credits5
SummaryThis 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
Entry Requirements (not applicable to Visiting Students)
Pre-requisites Co-requisites
Prohibited Combinations Other requirements None
Course Delivery Information
Academic year 2019/20, Not available to visiting students (SS1) Quota:  36
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 on description of possible database and web implementation of a current published biological web site will account for 50% and a practical exercise consisting of a database development project will account for the other 50%.
Feedback An MCQ on basic web technology and relational database principals will be available to the students.
No Exam Information
Learning Outcomes
On completion of this course, the student will be able to:
  1. Describe the technologies that underpin current structural or biological databases
  2. Demonstrate the ability to successfully mine a small example dataset.
  3. Construct a relational database system to contain that data.
  4. Construct web pages to allow access to that database.
  5. Analyse a biological database and propose an appropriate relational database structure to represent it.
Reading List
None
Additional Information
Graduate Attributes and Skills Database management and Web site development
KeywordsIntroWDD
Contacts
Course organiserDr Paul Taylor
Tel: (0131 6)50 7058
Email: p.taylor@ed.ac.uk
Course secretaryMrs Claire Black
Tel: (0131 6)50 8637
Email: Claire.Black@ed.ac.uk
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