11312 modules
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MATH6189 2025-26
Introduction to Python
This module aims to teach students the fundamentals of writing structured computer programs, applicable using any high level programming language. However, students will be shown the special features of Python that makes this language especially useful for Data Science and Decision Science. The module uses software engineering techniques to enforce the importance of good programming practise and will review traditional computing algorithm analysis, design and implementation using Python. -
MATH6189 2026-27
Introduction to Python
This module aims to teach students the fundamentals of writing structured computer programs, applicable using any high level programming language. However, students will be shown the special features of Python that makes this language especially useful for Data Science and Decision Science. The module uses software engineering techniques to enforce the importance of good programming practise and will review traditional computing algorithm analysis, design and implementation using Python. -
MATH6005 2026-27
Introduction to Python
This module aims to teach students the fundamentals of writing structured computer programs, applicable using any high level programming language. However, students will be shown the special features of Python that makes this language especially useful for Data Science and Decision Science. The module uses software engineering techniques to enforce the importance of good programming practise and will review traditional computing algorithm analysis, design and implementation using Python. -
MATH6005 2025-26
Introduction to Python
This module aims to teach students the fundamentals of writing structured computer programs, applicable using any high level programming language. However, students will be shown the special features of Python that makes this language especially useful for Data Science and Decision Science. The module uses software engineering techniques to enforce the importance of good programming practise and will review traditional computing algorithm analysis, design and implementation using Python. -
MATH6189 2028-29
Introduction to Python
This module aims to teach students the fundamentals of writing structured computer programs, applicable using any high level programming language. However, students will be shown the special features of Python that makes this language especially useful for Data Science and Decision Science. The module uses software engineering techniques to enforce the importance of good programming practise and will review traditional computing algorithm analysis, design and implementation using Python. -
COMP6264 2027-28
Introduction to Quantum Computing
Students should be able to follow and appreciate the key concepts underpinning quantum algorithmic information processing, including the encoding, transformation and measurement of quantum state. They will be able to write programs using specialist libraries that create quantum circuit layouts. They will be able to understand the fundamental difference between quantum and classical computing. -
COMP6264 2026-27
Introduction to Quantum Computing
Students should be able to follow and appreciate the key concepts underpinning quantum algorithmic information processing, including the encoding, transformation and measurement of quantum state. They will be able to write programs using specialist libraries that create quantum circuit layouts. They will be able to understand the fundamental difference between quantum and classical computing. -
COMP6264 2028-29
Introduction to Quantum Computing
Students should be able to follow and appreciate the key concepts underpinning quantum algorithmic information processing, including the encoding, transformation and measurement of quantum state. They will be able to write programs using specialist libraries that create quantum circuit layouts. They will be able to understand the fundamental difference between quantum and classical computing. -
COMP6264 2025-26
Introduction to Quantum Computing
Students should be able to follow and appreciate the key concepts underpinning quantum algorithmic information processing, including the encoding, transformation and measurement of quantum state. They will be able to write programs using specialist libraries that create quantum circuit layouts. They will be able to understand the fundamental difference between quantum and classical computing. -
COMP6264 2029-30
Introduction to Quantum Computing
Students should be able to follow and appreciate the key concepts underpinning quantum algorithmic information processing, including the encoding, transformation and measurement of quantum state. They will be able to write programs using specialist libraries that create quantum circuit layouts. They will be able to understand the fundamental difference between quantum and classical computing.