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COMP502 – Python Programming: Foundations for AI and Data Science

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Module code
COMP502
Module title
Python Programming: Foundations for AI and Data Science
Prescription
To enable students to apply the principles of software development to create simple working applications and use problem-solving and decision-making techniques to provide innovative and timely Information Technology outcomes.
Programmes
  • BI1601
  • BI1606
  • BI1607
NZQA Level
Level 5
NZQA Credits
15
Delivery method
  • Web-Supported
Learning hours
Total learning hours
150
Resources required
Learning Outcomes
1. Apply programming concepts and tools

2. Differentiate between procedural and object oriented programming

3. Apply the Principles of Implementation to the development of simple applications

4. Use problem-solving and decision making techniques which include logic and mathematical concepts, problem solving methods, critical thinking, abstract reasoning, and systems.
Content
- Introduction to programming and programming development environment
- Programming basics
- Object oriented and procedural programming
- Simple input and output commands
- Variables types and operations
- Coding standards and indentation
- Conditions, selections and iterations (loops)
- Methods and parameters
- Modular programming
- Files and I/O
- Arrays
- Simple algorithms and problem solving
- Debugging and testing
- Graphical User Interface
- Software implementation methods
- Technical documentation
?- Be able to use tools to efficiently clean, transform, and integrate unstructured and semi-structured (‘dirty’) data.?
Teaching and Learning Strategy
Teaching methods will involve theoretical and practical classes which may include but not limited to lectures, class discussions, tutorials, case studies, simulations, computer laboratory work, group activities, face-to-face and online activities.
Assessment Criteria
In order to receive a passing grade, students must achieve a minimum 40% average over all supervised tests and achieve 50% overall for the module.
Learning and Teaching Resource
Wintec Learning Management Systems, Computer Laboratory
Required Textbooks
An extended reading list will be supplied by the tutor at commencement of the module. This will be updated annually