Postgraduate Course: Introduction to scientific programming for MSc in Drug Discovery & Translational Biology (PGBI11039)
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 which is specifically designed for taught MSc students in Drug Discovery and Translational Biology, will provide through lectures and tutorial exercises a basic knowledge of computer programming. The course will give the students the ability to write simple programs to manipulate digital and text data, and to perform simple mathematical transformations.
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| Course description |
The lectures will try and cover the following areas; however topics covered will be coupled with progress in the practical exercises.
¿ How programming is done
¿ Introduction to general concepts
¿ Input and Output
¿ Using data structures
¿ A typical program for the analysis of a protein data bank file
¿ Advanced topics (object orientated programming, parallel programming)
¿ After the initial introductory session all exercises will be in Java
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Entry Requirements (not applicable to Visiting Students)
| Pre-requisites |
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Co-requisites | |
| Prohibited Combinations | |
Other requirements | This course is an introductory programming course and therefore NOT recommended for any students with a programming background. |
| Additional Costs | Recommended course book(s). |
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 |
Semester 1 |
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) |
6 assessed practical exercises
1. Modification of simple programs (15%)
2. A program to perform a simple mathematical calculation (12%)
3. Write a program to read and interpret a common chemoinformatics format using an external library (12%).
4. Develop a class to read protein databank format files and use it in a simple file reading program (12%)
5. Develop and test extensively a program to reformat text input files (13%)
6. A multi session practical to develop and test a program to compute molecular similarity (36%).
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| Feedback |
Not entered |
| No Exam Information |
Learning Outcomes
After completing this course, students should have:
¿ A working knowledge of how to program a computer to carry out simple tasks in data selection, data processing and data comparison.
¿ the ability to recognise and interpret JAVA programs
¿ the ability to program simple command line programs in the JAVA language
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Additional Information
| Graduate Attributes and Skills |
Not entered |
| Keywords | IntroSciProg |
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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