Programming through Python (990G5)
Programming through Python
Module 990G5
Module details for 2024/25.
15 credits
FHEQ Level 7 (Masters)
Module Outline
This module will allow you to develop a full range of coding skills from procedural basics through to Object Oriented Programming and Graphic User Interface design and implementation. . No prior programming knowledge is presumed. You will gain theoretical knowledge and practical skills, with learning will take place through a combination of lectures and practical workshop sessions and an incremental coursework assignment to develop a complete application. You will also benefit from peer review of your work – a process where you can learn the art of coding through sharing of good practice with others. Coding is a core computer science skill widely applicable in, and transferable to, commercial data science and analysis scenarios.
Indicative Content
• Workflow – overview of Python and PyCharm; using variables and creating code.
• Basic code constructs – using alternation (if) and repetition (for, while). Introducing lists.
• Functions – inbuilt and defining your own.
• Object Oriented Programming (OOP) – what is it? Defining a class.
• More on OOP – polymorphism.
• More on data structures – lists, stacks and dictionaries.
• Dealing with errors and testing – unit and system level testing.
• Scientific computing – using NumPy.
• Building a Graphical User Interface (GUI) with Tkinter.
• More advanced GUI design and layout – using layout managers.
Module learning outcomes
Systematically understand, and be able to successfully carry out, the write-edit-run cycle of software development in Python in an appropriate software development environment.
Systematically understand and deploy originality in the application of fundamental programming concepts such as variables, conditional statements, looping constructs, and procedures (methods).
Systematically understand basic Object Oriented (OO) concepts such as object, class, abstraction, hierarchy modularity and encapsulation
Systematically understand, and deploy originality in the application of knowledge to use simple built in data types such as Arrays, Strings, Lists, Dictionaries and some of the common library classes
| Type | Timing | Weighting |
|---|---|---|
| Multiple Choice questions | Semester 1 Assessment Week 1 Wed 16:00 | 60.00% |
| Coursework | 40.00% | |
| Coursework components. Weighted as shown below. | ||
| Project | XVAC Week 1 | 100.00% |
Timing
Submission deadlines may vary for different types of assignment/groups of students.
Weighting
Coursework components (if listed) total 100% of the overall coursework weighting value.
Dr Benjamin Evans
Assess convenor
/profiles/555479
Dr Daniel Creed
Assess convenor
/profiles/112868
Dr Peter Wijeratne
Assess convenor
/profiles/596509
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