Python programming: analysis, design and evaluation - remote CK464 / E04
Summary
Prior knowledge:
You’ll need to be confident in the essentials of sequence, selection, iteration and working with data files to access this course. It’s recommended that you undertake the following courses prior to this one: Python programming constructs: sequencing, selection and iteration and Python programming: working with data.
If you are entirely new to computer science, we recommend first participating in our one-day course: An introduction to algorithms, programming and data in GCSE computer science.
Recommended next steps:
To compliment this course we also have: Python programming: advanced subject knowledge, implementation and testing available. It’s recommended that you complete this course alongside, to give you the knowledge of the full software life cycle.
Do you prefer to learn in a classroom? If so, take a look at: Python programming: analysis, design and evaluation - face to face
Who is it for?
This course is for current or prospective teachers of computer science, to undertake this course it is advised that you have a strong understanding of the fundamentals of the Python language.
What topics are covered?
- 01 | Analysis of programming project - Explore how to interpret a set of programming requirements effectively, you’ll learn more about abstraction and decomposition and how to apply these concepts when analysing the requirements of a project. During this session you’ll learn how to develop a decomposition diagram to support your planning of the project.
- 02 | Decomposition – During this session you’ll learn how to create decomposition diagrams based upon a set of user requirements.
- 03 | Designing a solution - In this session you’ll begin designing an algorithm to tackle the analysis completed in the first session. You’ll explore how pseudocode and flowcharts can be used to represent a design to a solution.
- 04 | Algorithms – Using the knowledge developed in the previous session, you’ll begin creating your algorithm, either as a flowchart or using pseudocode.
- 05 | Evaluating a solution - In this session you’ll explore how to evaluate the success of a program, this session will also explore how to write a report for a programming project.
How will you learn?
Scheduled live, interactive online sessions led by an experienced practitioner. Flexible, Professional Development Leader-supported, participant-led tasks, involving deep exploration of the subject content.
How long is this course?
This course is approximately five hours in duration, split across several days.
Who is the course leader?
Outcomes
You will:
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Learn the importance of the implementation and testing stages of the software development life cycle
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Learn how to apply abstraction and decomposition to a programming project during the analysis and design phases
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Understand how to create suitable algorithms to represent a design to a solution
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Develop confidence in leading your students as they develop their programming skills
Sessions
| Date | Time | |
|---|---|---|
| 1 Python programming: analysis, design and evaluation - remote | 10 November 2023 | 09:00-10:00 |
| 3 Python programming: analysis, design and evaluation - remote | 10 November 2023 | 11:00-12:00 |
| 5 Python programming: analysis, design and evaluation - remote | 10 November 2023 | 14:00-15:00 |
Actions
Fees & Subsidies
Included in your CPD subscription
Our remote CPD courses for teachers are delivered across a series of sessions run at specific times and dates. Information on all course sessions can be found under the description of each course. To complete a course, all sessions are mandatory.
Are you a state-funded Special School or PRU unit in England? You may be eligible for reduced course fees and even subsidies. Get in touch to check your eligibility and book your place directly. You can see our fees and subsidy information here.
Alternative dates
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