Giới thiệu tài liệu
The increasing integration of computational methodologies across diverse engineering disciplines underscores the critical importance of foundational programming skills. This document presents the End-of-Term Examination for "TIN HỌC TRONG KỸ THUẬT," a core course designed to equip engineering students with essential computational literacy. Specifically, it assesses proficiency in Python programming, covering fundamental concepts, data structures, and algorithmic thinking. The exam's objective is to gauge students' ability to understand and apply programming principles, ensuring they possess the necessary tools to solve complex problems and innovate within their respective fields, particularly within the Mechanical Engineering and Mechatronics domains. This evaluation is vital for fostering a new generation of engineers competent in leveraging technology.
Đối tượng sử dụng
Sinh viên ngành Kỹ thuật (đặc biệt Cơ khí Chế tạo Máy, Cơ Điện tử), giảng viên, và nhà phát triển chương trình đào tạo môn Tin học trong Kỹ thuật.
Nội dung tóm tắt
This examination document serves as a comprehensive assessment tool for the "TIN HỌC TRONG KỸ THUẬT" course, meticulously designed to evaluate students' grasp of fundamental Python programming concepts. The assessment employs a multiple-choice question format, presenting various code snippets that require students to interpret outputs, identify correct syntax, or trace program execution. Key areas covered include basic arithmetic and logical operations, string and list manipulation (e.g., indexing, slicing, and methods like append, insert, pop), dictionary operations, and core control flow structures such as if-else conditionals, for loops, and while loops. The questions also touch upon built-in functions like pow and range, reinforcing a practical understanding of Python's capabilities. The primary approach of this exam is to test the practical application of programming knowledge rather than purely theoretical understanding. By requiring students to analyze and predict the behavior of Python code, it effectively assesses their algorithmic thinking and problem-solving skills. Such proficiency in Python programming is indispensable for modern engineering disciplines, including Mechatronics, enabling students to automate tasks, process data, develop prototypes, and implement control systems. The insights gained from this rigorous evaluation are instrumental in identifying learning gaps, refining the curriculum to better meet industry demands, and ultimately ensuring that graduates are well-prepared to contribute to technological advancements with robust computer science fundamentals.
