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
03 
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