Overview

Master AI & Machine Learning for 50% Off

Go under the hood of AI — neural networks, real-world applications & more. Designed by UNSW experts.

This course develops programming and computational-thinking skills through clean code design, scientific problem solving, debugging, testing, code review, and teamwork. It also introduces core programming constructs and how compilers, memory, and machine execution affect programs.

Syllabus

Identify and appreciate the qualities of high quality programming code: - Upholding good style and producing code of good clarity and design quality - Proposing improvements to other’s code design and clarity in code reviews - Adherence to, and refinement of a style guide - Contributing to the discussion of what good code style, and what undesirable “hacky” each look like
Value the writing of functional software for both its social utility and as an expression of creative skill: - Identifying opportunities to automate tasks, or solve personal or professional problems by writing programming code - Explore creative expression by building programs with a playful or artistic purpose - Critique personal and professional ethical considerations when writing software
Cultivate a scientific mindset for solving problems using code: - Follow a scientific approach to designing and choosing algorithms - Apply a methodical, optimistic, persistent, and resilient strategy to debugging, troubleshooting, and solving problems - Produce a strategy for exploring, questioning, and experimenting with a problem space scientifically and skeptically - Probe a problem space to prioritise exploration, and reverse-engineer “black boxes” using a scientific approach
Identify and appreciate good programming practices: - Appreciation for writing unit tests - Exploring the practice of writing unit tests before implementation - Identifying and critiquing the scope and contracts of functions - Cultivating an adversarial attitude toward code execution
Demonstrate the fundamental design principles for writing good software: - Function scope and abstraction - Recursion - Branching - Iteration - Working with Collections: Arrays and Lists - Abstract and Concrete Data Types - Mutability, direct and indirect addressing - Structural design of programs
Understand how computers work in order to predict how programs will be translated into machine code and executed: - Differentiate between automata, calculators, and the ability to perform universal computation - Compare how different types are stored in machines - Examine how a compiler operates and how a machine executes code - How addressing, memory allocation and data storage operate - Identify the difference between imperative and declarative programming
Solve novel problems by building correct and functional software programs: - Code solutions according to good software design principles - Debug and unit test effectively - Decipher error messages and interpret code syntax - Identify and rectify memory errors such as buffer overflows
Co-create solutions by coding in teams, coordinating on design, and reviewing each other’s code: - Negotiate, design and develop code specifications with a team - Code solutions which adhere to agreed upon interfaces and obey defined contracts - Review other’s code and identify style, functionality, and design enhancements - Design and write unit tests for other’s code
Develop critical thinking skills while programming: - Formulate and articulate ideas for solving problems with code - Recognise and test assumptions which have been made and their consequences - Distinguish between relevant and irrelevant information and feedback provided by automated and human sources - Identify trade-offs and secondary problems
Practice the skills required to independently research and explore new programming concepts - Independently perform research to seek out clarifications and related concepts - Curate and prioritise each source of information as it relates to solving a specific problem - Find and distinguish reliable communities of practice and sources of information - Build a habit for experimenting and contributing findings back to a community of practice; trying things out to see what happens and sharing