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题库ENGG1001

ENGG1001

Introduction to Engineering Computing

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关于 ENGG1001

ENGG1001 is UQ's introduction-to-computing course for engineering students, taught in Python. It assumes no prior programming experience and is organised into three modules: Python fundamentals (variables, control flow, loops, functions, lists, dictionaries, strings, file I/O), NumPy and data analysis (ndarrays, array creation and slicing, floating-point precision, datetime64, vectorisation and broadcasting, boolean indexing and aggregation, matplotlib), and object-oriented programming (classes, encapsulation, magic methods, class versus instance variables, inheritance, method resolution order, abstract base classes and polymorphism). The final exam is heavily weighted toward code tracing, so the StudyPilot question bank focuses on the exact question types that appear on past papers, each with a worked step-by-step solution.

考试形式

The ENGG1001 final exam is paper-based and answered on a Gradescope answer sheet. It is 40 multiple-choice questions worth 1 mark each (40 marks total), with 120 minutes of working time plus 10 minutes of planning time (about 2 hours). The exam is closed-book: no notes are allowed, only a Casio FX-82 series or other UQ-approved calculator, and no phones or computers. Two marking tips from past papers: if the code would raise an error, choose Error; when several options look correct, pick the most appropriate one. Coverage by position on past papers: Q1-14 basic syntax, Q15-27 NumPy and matplotlib, Q28-40 object-oriented programming, where the inheritance / MRO tracing question is always tested. Always check the current semester's course profile for any changes.

Python syntax: variables, input, PEP8 naming, data types and conversionOperators: arithmetic, comparison, logical, and short-circuit evaluationControl flow and loops: if/elif/else, for, while, break, nested iterationLists, tuples, dictionaries, slicing, and mutability/aliasingString methods and functions (parameters, return values, type hints)Variable scope and file input/outputNumPy ndarrays: shape, dtype, creation, indexing, slicing, reshapeFloating-point precision, datetime64, vectorisation and broadcastingBoolean indexing, aggregation, and matplotlib visualisationOOP: classes, encapsulation, magic methods, inheritance, MRO, polymorphism

It is a 2-hour paper-based exam with 40 multiple-choice questions worth 1 mark each, answered on a Gradescope sheet. It is closed-book and only a UQ-approved calculator is allowed.

All three modules: Python fundamentals, NumPy and data analysis, and object-oriented programming. Each question is tagged by topic so you can drill your weakest area.

Code tracing across all three modules, and in OOP the inheritance / method resolution order (MRO) tracing question appears on every past paper, so it is worth practising until it is automatic.