課程大綱

課程資訊

課程名稱

計算機程式
Computer Programming Language

開課學期

112-2

授課對象

機械工程學系

授課教師

林以凡

課號

ME2009

課程識別碼

502E10100

班次

學分

2.0

全/半年

半年

必/選修

必修

上課時間

星期四3,4,5(10:20~13:10)

上課地點

機械系計中

備註

本課程以英語授課。第一堂課需分組做Lab，故第一次上課未到者視同放棄。
總人數上限：55人

課程簡介影片

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課程概述

This is an introductory course to computer programming in Python. Introduction to programming basics (what it is and how it works), binary computation, problem-solving methods and algorithm development. Includes procedural and data abstractions, program design, debugging, testing, and documentation. Covers data types, control structures, functions, parameter passing, library functions, arrays, inheritance and object oriented design.

課程目標

The objective of this course is that by the end of the semester, you will have
‧ understood why Python is a useful scripting language for developers;
‧ expressed how to design and program Python applications;
‧ identified how to use lists, tuples, and dictionaries in Python programs;
‧ described how to identify Python object types;
‧ demonstrated how to use indexing and slicing to access data in Python programs;
‧ defined the structure and components of a Python program;
‧ employed how to write loops and decision statements in Python;
‧ explained how to write functions and pass arguments in Python;
‧ illustrated how to build and package Python modules for reusability;
‧ learned how to read and write files in Python;
‧ elaborated how to design object-oriented programs with Python classes (if time is allowed);
‧ performed how to use class inheritance in Python for reusability (if time is allowed);;
‧ formulated how to use exception handling in Python applications for error handling.

課程要求

預期每週課後學習時數

Office Hours

指定閱讀

Tony Gaddis, Starting Out with Python, Pearson, 4th Ed, Global Edition, ISBN: 9781292225753, 2019.

參考書目

Python Tutorial https://docs.python.org/3.7/tutorial/

評量方式
(僅供參考)

No.	項目	百分比	說明
1.	Homework	15%	Two questions (Easy and Hard) are in each homework assignment. You must submit your homework within two weeks through NTU COOL. The deadline is on Wednesdays before midnight (11:59pm). 50% off for the late submission in week three. 0 points for week four and up.
2.	Team Lab	15%	Laboratory will be based upon the lecture notes. Lab is an opportunity for students to practice skills, apply knowledge, review and build on past learning, and extend learning. The purpose of the assignment will determine whether or not a grade is given and will be clearly articulated to students. Through independent learning tasks, students assume more responsibility for their learning and are given opportunities to apply what they have learned to new situations or experiences. Your team will submit the team report through NTU COOL by end of each lab session. 20% off for the late submission on the same day (till 11:59pm). 0 points from the next day.
3.	Quiz	15%	5% each). The quizzes are scheduled on – Quiz I: March 14 in class. – Quiz II: April 18 in class. – Quiz III: May 16 in class. The quiz will be a 30-minute long test in the beginning of the class. You will answer some short questions or complete part of the codes on NTU COOL.
4.	Midterms	30%	(15% each). The mid terms are scheduled on – Mid-term I: March 28 in class. – Mid-term II: May 23 in class. The mid-term will be a two-hour computer based exam, closed-book, and closed-notes. No electronics, including calculators, cell phones, or smart watches are allowed. Mid-terms will be used to access demonstration of the learning objectives.
5.	Final Team Project	25%	Form a team with AT MOST 3 members. Choose a topic that reflects your interests and what you have learned. You will submit your work and give a 15- minute team presentation on May 30 and June 06. For details, check Final Project Guidelines and Rubrics.
6.	Class Participation	0%	bonus 2%. Attend the class and have discussions with your classmates/group for some class exercises. Demonstrate your code and explain your thought process in class. Also be active in class by asking questions, solving the class exercises on the blackboard.

課程進度

週次	日期	單元主題
第1週	02/22	Input, Variables, Calculations, Operators, Data Outputs
第2週	02/29	Decision Structures and Boolean Logic
第3週	03/07	Repetition Structures
第4週	03/14	Functions
第5週	03/21	Functions and Modules
第6週	03/28	Mid-term I
第7週	04/04	Holiday
第8週	04/11	Files
第9週	04/18	Recursion and Exceptions
第10週	04/25	Lists and Tuples
第11週	05/02	Strings
第12週	05/09	Dictionaries and Sets
第13週	05/16	Numpy and Matplotlib
第14週	05/23	Mid-term II
第15週	05/30	Final Presentation
第16週	06/06	Final Presentation