INFO1110
Introduction to Programming
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关于 INFO1110
INFO1110 is the University of Sydney's introductory programming unit, taught in Python and worth 6 credit points. It has no prerequisites and assumes no prior programming experience, which is why it is the standard entry point into computing at USYD and why it is prohibited against INFO1910, INFO1103, INFO1903, INFO1105, INFO1905 and ENGG1810 - you take one of them, not several. The unit builds from data types, operators and control flow through Python's memory model, functions and scope, then on to file handling, classes, string methods and comprehensions, recursion, and finally numerical work with NumPy. Assessment is split evenly between through-semester work and the final exam, and the final exam is a hurdle: a mark below 40% on it fails the unit regardless of how the semester went. StudyPilot's INFO1110 bank holds 1,200+ practice questions organised into per-week banks that follow the unit's own week order, so you can drill exactly what your current week covers instead of digging through one undifferentiated pool. Every question carries a worked step-by-step solution rather than a bare final answer, so a wrong attempt is something you can actually learn from.
考试形式
Assessment in INFO1110 is 50% through-semester work and 50% final exam, and the final exam is a hurdle task: score below 40% on it and you do not pass the unit, whatever your semester marks add up to. That makes the exam the highest-stakes single piece of the unit by a wide margin. The mechanical details - how long the exam runs, whether it is delivered on paper or on a computer, and what material you are allowed to bring - are set per offering, so check the current unit outline and your Canvas site rather than relying on what a previous semester did. What stays stable is the kind of thinking being tested: tracing code by hand and predicting its output, reasoning about scope and Python's memory model, writing a function from a written specification, and working through recursion. StudyPilot's per-week banks mirror the unit's own week order, so the exam-relevant material is drilled in the sequence it is taught rather than crammed at the end.
用{ 两种方式 }练习这门科目
题库练习
按主题集中训练，精准补齐薄弱点，练习模式灵活切换。
模拟考试
还原真实考试节奏与压力，提升临场发挥。
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这里还没有内容，我们每周都会新增材料。
Over 1,200, covering every week of the unit from program fundamentals through to NumPy. They are split into per-week banks rather than one large pool, so you can practise the week you are actually in.
Yes. Each bank maps to a week of the INFO1110 outline and is named for that week's topic, so Week 5 practice is for-loops and Week 12 is recursion. Within a bank, questions run from easier to harder so the difficulty ramps as you go.
They share the same official unit description, the same eleven learning outcomes, and the same Python content. INFO1110 is the undergraduate version (normal day attendance) and COMP9001 the postgraduate one (normal evening). The week order does differ: COMP9001 reaches functions before data structures and ends on iterators and multidimensional arrays, while INFO1110 reaches data structures first and ends on NumPy. Because of that, the two question banks are sequenced separately.
No. The unit lists no prerequisites and no assumed knowledge, and it starts from what a variable is. It does move quickly, though, which is why weekly practice tends to matter more here than last-minute revision.
The final exam is a hurdle task: you need at least 40% on it to pass INFO1110 regardless of your through-semester marks. Strong assignment marks cannot compensate for missing the hurdle, so the exam deserves separate preparation rather than being treated as one assessment among many.
Every question has a worked solution that explains the reasoning step by step, not just the final answer. Code-tracing answers are verified by running the code. If you find an error, the report button on each question card lets us correct it.
Yes. The topic structure is rebuilt against the current unit outline each time the outline shifts, and weeks that the unit no longer covers are retired rather than left in place.