CS 1358-0

Brief

This course introduces fundamental programming concepts in the Python language and related environment. Fundamental concepts include overview of computer systems, python environment setup, Python language overview, command line interface, numbers, string formatting, sequences, dictionaries and sets, control flow, exception, file, function, recursion, ob<x>ject orientation, inheritance, polymorphism, and modules.

Description

Course keywords: introduction to programming, Python language, computer science, structured language, modules Course Description This course introduces fundamental programming concepts in the Python language and related environment. Fundamental concepts include overview of computer systems, Python environment setup, Python language overview, command line interface, numbers, string formatting, sequences, dictionaries and sets, control flow, exception, file, function, recursion, object orientation, inheritance, polymorphism, and modules. The programming environment will be primarily text-based in Unix environment, although graphical user interface (IDLE) and web-based (Jupyter) will also be demonstrated. Textbooks - None required, though the instructor is making available an e-book based on the lecture slides and bilingual captions. References - Paul Deitel, Harvey Deitel, Intro to Python for Computer Science and Data Science: Learning to Program with AI, Big Data and the Cloud, Global Edition, Pearson Education Limited, 2022. ISBN 10: 1-292-36490-4; ISBN-13: 978-1-292-36490-2. - Python website, www.python.org Teaching Method - 2 hours of recorded lecture (Mandarin with English captions) quiz every other week. Syllabus Week 1 - introduction, environment setup Week 2 - tour of Python Week 3 - basic types, command-line application Week 4 - command-line application (cont'd), strings Week 5 - collections: sequence (list, tuple), set, dict Week 6 - control constructs: if, while, for Week 7 - exceptions, files Week 8 - functions Week 9 - recursion, functional programming Week 10 - object-oriented programming part 1: class, method Week 11 - object-oriented programming part 2: inheritance, operator overloading Week 12 - generators, iterators Week 13 - standard library part 1: data types, itertools Week 14 - standard library part 2: regular expressions, Tkinter AI Policy: (4)本課程無涉及AI使用 Not applicable Evaluation 30% - assignments 30% - quizzes 35% - final exam 5% - participation Course website https://eeclass.nthu.edu.tw/course/info/21437

Timetable

PTT Reviews

Remarks

X-Class,加簽資工大學部優先.不可修過EECS1210.面授+同步+非同步遠距。W34上機教室資電132,323,326,328

Restrictions

資工系大學部1年級優先，第3次選課起開放全校修習

Compulsory

Elective

Cross Discipline

First Specialization

Second Specialization