Module Information
Course Delivery
Assessment
| Assessment Type | Assessment length / details | Proportion |
|---|---|---|
| Semester Assessment | Programming assignment | 40% |
| Semester Exam | 2 Hours Exam | 60% |
| Supplementary Assessment | Programming assignment | 40% |
| Supplementary Exam | 2 Hours Exam | 60% |
Learning Outcomes
On successful completion of this module students should be able to:
Write code to perform common tasks relevant to the study schemes of the students
Query/modify a data file or a database
Make use of data in XML format
Retrieve information from popular APIs relevant to the study schemes of the students.
Brief description
This module will, using the Python programming language, teach the basics of programming and how to manipulate and organise data relevant to the study schemes of the students taking the module.
Aims
This module aims to equip the students with programming skills for information retrieval, data manipulation, data/model/knowledge storing and sharing, and high performance computing. It will emphasise the use of Python to carry out tasks in and manage data using conventional files and database, as well as specialist tools relevant to the MSc for which the students are studying.
Content
2. Reading and writing files. Examples of a variety of file formats relevant to the study schemes of the students. Example programming tasks collecting basic information from these files, reformatting files. General familiarity and experience using Python.
3. Databases: Examining database structure (tables, keys, relations). Interfacing to databases using SQL and Python. Basic design of databases.
4. XML: structure, parsing, correctness and schema.
5. Using (remote) APIs to query (online) resources.
Module Skills
| Skills Type | Skills details |
|---|---|
| Application of Number | Inherent to science schemes |
| Improving own Learning and Performance | Inherent in the module. |
| Information Technology | Programming, data management |
| Personal Development and Career planning | Gives students practical skills for a career in this field |
| Problem solving | Identifying and using programming techniques to solve problems relevant to topics of their study scheme. |
| Research skills | Problem analysis, data resource discovery, experimental design, data analysis |
Notes
This module is at CQFW Level 7