Introduction to Computer Programming 2018-02

Class Information

	Class Info
Class	ETA00086 - 컴퓨터 프로그래밍 기초, ETA00087 컴퓨터 프로그래밍 기초 실습
Lecturer	Seongjin Lee
Time and Place	A & B Group (Theory): 407-101 Monday 14:00-16:00
	A Group (Practice): 407-203, Friday 12:00-14:00
	B Group (Practice): 407-203, Friday 14:00-16:00
Office Hour	Tuesday: 11:00-12:00
Contacts	Office: 407-314
	Email: insight at gnu dot ac dot kr

Course Introduction

In the Computer Engineering, the language you use determines the capabilities of the software you develop. The more powerful a language is, the easier you can increase the performance and the simpler you can write the software. We are going to learn two languages in this course, Python and C. Python is a versatile, yet powerful, language that is easy to learn as well as the ease of the use. Many of the well-known companies are using Python to solve many of the engineering problems. For example, Dropbox desktop client is written in Python. Another language we are learning in the class is C. Since Dennis Ritchie at AT&T Bell Lab in the early 1970s developed C Programming Language, it has become one of the most powerful language used by various developers working in mobile, enterprise, and embedded systems. The success of C language is the result from its portability, standard library, ready use of the hardware, and ease of optimization.

For your information, Prof. Kyounghoon Kim is teaching the same course. Do interact with all the classmates and share. Don't be a big fish in a pond.

Goal

In this course, we are going to learn the essence of Python and C. Students are going to learn the following concepts.

• Compiling and running the program
• Variables, Data Types, and Arithmetic Expressions
• Loops and Control Flows
• Arrays and Pointers
• Functions
• Data Structures
• File I/O

Textbook

Python

There are two textbooks for Python. The class is based on the first book which is elementary and an introductory textbook on python for absolute beginner, but the second book is recommend. Although there is no Korean version of Think Python, it is written in plain English with friendly style. It would be better to have this book rather than the first. Moreover, the author made it freely available on the web.

1. 모두의 파이썬 20일 만에 배우는 프로그래밍 기초 | 이승찬 지음 | 길벗 | 2016년 05월 09일 출간 교보문고 바로가기
2. Allen B. Downey, "Think Python: How to Think Like a Computer Scientist", 2015, 원서 바로가기 한글 비공식 번역판

C

There are two must have and one (translation available) recommended books. I also recommend you to read C언어 공부법과 책추천(by sunyzero) because it gives guide on how to study the language and provides reasons why the first two books are required textbooks. We are going to use the King's book in the class. Kernighan and Ritchie's book provides very short and concise introduction of C language in less than 50 pages, which is very helpful in understanding the capabilities of the language.

1. Main K.N. King, "C Programming: A Modern Approach," W. W. Norton & Company, 2nd Edition, 2008 교보문고 바로가기 (KNK로 표기)
   1. Translated version available on the Internet is here
2. Supplementary Brian W. Kernighan, Dennis M. Ritchie, "C Programming Language" Prentice Hall, 1988 (2nd Edition) (Kernighan 의 C언어 프로그래밍) 교보문고 바로가기 (K&R로 표기)
3. Supplementary Stephen Prata. "C Primer Plus". Sams, 2004 (C 기초 플러스) 교보문고 바로가기

Homework and Guidelines

• Every week, you are to meet with your team and discuss the materials that you are going to master. After the discussion, you are to write the new findings in the piazza.
• Please share your email info here.

Schedule and Readings

All pptx files contain narrations and inks, you can view/hear them by entering slide show mode. It is mandatory that you learn them before coming to the class. The class assumes that you have already learn the material for the respective day's activity.

Part I - Python

Week - 1 Python
Lecture : Sep-03 (月) Introduction	Lab : Sep-07 (金) Variables
Course Overview * First, we will go through the course overview, and what you have to do to succeed in this class. Course Overview Reading: * On computation and on difference with spoken lanuage and computer language [pptx ] [pdf ] * Abstract view on python [pptx ] [pdf ] * Introduction to Flow Diagram [pptx ] [pdf ] Workbook: * In class workbook for understanding the concepts of compution (recommend to use github) notebook	Reading: * Variables, operations, and expressions [pptx ] [pdf ] Workbook: * In class workbook for understanding the concepts of compution (recommend to use github) notebook
Video: * Spyder 실행하고 간단한 프로그램 작성하기 (11 min) [watch] * Spyder 에서 작성한 코드 파일로 저장하기, 불러오기, 실행하기 (10 min) [watch] * python에서 변수 사용, 생성하기, 그리고 활용하는 예 (8 min) [watch] * Python의 연산자 종류와 사용 예 (10 min) [watch]
Week - 2 Python
Lecture : Sep-10 (月) For Loop	Lab : Sep-14 (金) input function
Reading: * for loop is a important building block, and widely used [pptx ] [pdf ] * In python, range function controls the number of iterations in for loop [pptx ] [pdf ] * flow diagram for the for loop and list [pptx ] [pdf ] Workbook: * In class workbook for understanding the concepts of for loop (recommend to use github) notebook	Reading: * Introducing user interaction with input function [pptx ] [pdf ] Workbook: * In class workbook for understanding the concepts of input (recommend to use github) notebook
Video: * for 문장과 range 함수의 활용 (10 min) [watch] * input 함수의 활용과 입력한 값의 형의 이해 (9 min) [watch]
Week - 3 Python
Lecture : Sep-17 (月) if conditions	Lab : Sep-21 (金) while loop
Reading: * Evaluation of expression and logical operators [pptx ] [pdf ] * Controlling flow of a program with if and else [pptx ] [pdf ] * Introducing randomness to a program [pptx ] [pdf ] Workbook: * In class workbook for understanding the concepts of flow of a program (recommend to use github) notebook	Reading: * Another method of making a loop [pptx ] [pdf ] * flow diagram for while function [pptx ] [pdf ] Workbook: * In class workbook for understanding the concepts of while loop (recommend to use github) notebook
Video: * if 문장으로 조건 비교하여 실행하기 (15 min) [watch] * for 문과 유사한 기능의 while문으로 반복 동작을 더 정교하게 조정하기 (7 min) [watch]
Week - 4 Python
Lecture : Sep-24 (月)	Lab : Sep-28 (金) Custom Functions
추석 연휴	Reading: * Dividing the code into functions to reduce the duplicate codes [pptx ] [pdf ] * Example of using function [pptx ] [pdf ] * flow diagram on function [pptx ] [pdf ] Workbook: * In class workbook for understanding the concepts of flow of a program (recommend to use github) notebook
Video: * 함수의 작성의 문법과 활용의 예와 자기 자신을 다시 부르는 재귀함수의 예 (11 min) [watch]
Week - 5 Python
Lecture : Oct-01 (月) Review	Lab : Oct-05 (金) Exam I
Workbook: * Practice before the exam notebook	Exam * Place : 407-101 * Time : 14:00-16:00

Part II - C Fundamentals

Week 6 - on C Language
Lecture : Oct-08 (月) Introduction	Lab : Oct-12 (金) Variables
Reading: * The essential basics of getting to know the C language: pre-processing, compile, variables, linking (adapted from 6.s096 MIT) [pdf ]	Reading: * Introduction to C programming [ppt ] [pdf ]
Video: * Introduction to C programming [watch ] (44m)
Week 7 - on C Language
Lecture : Oct-15 (月) printf and scanf	Lab : Oct-19 (金) Excercises on printf and scanf
Reading: * To read user inputs and print texts on screen [ppt ] [pdf ] Worksheet: * Formatted input and output [worksheet ]	Worksheet: * printf in detail [worksheet ] * scanf in detail [worksheet ]
Video: * Formatted input and output [watch ] (30m)
Week 8 - on C Language
Lecture : Oct-22 (月) expressions	Lab : Oct-26 (金) if -else and switch cases
Reading: * Expresions and Operators [ppt ] [pdf ] Worksheet: * Expresions and Operators [worksheet ]	Reading: * if-else and switch cases [ppt ] [pdf ] Worksheet: * if-else [worksheet ] * switch case [worksheet ]
Video: * Selection Statement [watch ] (44m)
Week 9 - on C Language
Lecture : Oct-29 (月) Control Flow Statements	Lab : Nov-02 (金) Excercises on control flow statements
Reading: * Summary on control flow [ppt ] [pdf ] * Control flow statements [ppt ] [pdf ] Worksheet: * in class excercises with pencil and papers	Worksheet: * for loop [worksheet ] * while loop [worksheet ] * do…while loop [worksheet ] * break; continue; goto [worksheet ]
Video: * On Control flow [watch ] (58m)
Week 10 - on C Language
Lecture : Nov-05 (月) Control Flow Statements	Lab : Nov-09 (金) Excercises on control flow statements
Reading: * Summary on control flow [ppt ] [pdf ] * Control flow statements [ppt ] [pdf ] Worksheet: * array [worksheet ] Assignemnt: * description on [description ] * Due: Nov-19 (Mon) before class * submit through piazza	Exam II

Part III - C Arrays and Pointers

T. B. D.

Miscellaneous

• A and B Group will be taught with the same text book, class materials, exercises, and assignments.
• Each class is graded separately.
• You are to join piazza through here

Evaluation

Categories	Ratio	Categories	Ratio
Attendance	10	Exam I	20
Before Class Meet-up Report	10	Exam II	20
Assignments	10	Exam III	20
Quiz	10	Total	100%

Setup Instructions

Step 1: Installing Linux

• Read the following link to install the linux on your machine
• If you wish to use virtual machine to run linux then use the following link; beware that your pc must have sufficient computation power.

Step 2: Installing Python and C

Python

Linux

• Open terminal via Ctrl+Alt+T or search for "Terminal" from app launcher in Linux
• Type the following to install Python:

  sudo apt-get update; sudo apt-get install python3.6

To check if python is installed properly.

James@maker:~$ python
Python 2.7.13 (default, Apr  4 2017, 08:47:57)
[GCC 4.2.1 Compatible Apple LLVM 8.1.0 (clang-802.0.38)] on darwin
Type "help", "copyright", "credits" or "license" for more information.
>>> print("Hello, world")
Hello, world

Windows

Download and install python for windows from here

C

Linux

C in Linux is prebuilt into the system; however, on windows it is not. If C compiler is not installed in the system then follow the steps in the terminal Ctrl+Alt+t.

sudo apt-get update # 패키지 리스트 최신화
sudo apt-get upgrade # 패키지 업그레이드
sudo apt-get install build-essential # 컴파일러 환경 설치
gcc -v # gcc 설치 버전 확인
make -v # make 설치 버전 확인

Windows

Follow the description on here

Step 3: Installing Jupyter Notebook

Option 1: Installation via Anaconda

It is recommended that you install Jupyter Notebook via Anaconda

1. Download & install Anaconda for Python here
2. Run jupyter notebook to confirm that it is properly installed

If Anaconda doesn't have jupyter: you can try running

conda install jupyter

Option 2: Installation via pip

You can also install via the python package manager pip

1. Make sure you have installed
   • python and pip
2. Make sure pip is updated to its latest version

   pip install --user --upgrade pip

3. Install Jupyter Notebook

   pip install --user --upgrade jupyter

Step 3: Installing Other Dependencies

Git

Git is a version control system which we use to store the various course material; you can download from here

• you can download the course material from here
• If you want the up-to-date version of the course material, checkout the course repository from the git by typing the following command
  • git checkout https://github.com/resourceful/ICP

IDE

If you wish to use other IDE, such as pycharm or spyder, you can also install them by typing

sudo apt-get install spyder

• When asked password for installing the programs, use your log-in password.

Installing Vi or emacs: the editors

You can use vi, emacs, or other IDE to work with python.

• vi and emacs comes with the operating system distribution; however, the version is not up-to-date. To upgrade the version of the programs type the following:

sudo apt-get install vi emacs

• When asked password for installing the programs, use your log-in password.

Step 4: Getting Started

Getting the latest course materials

You can always access the latest course materials on the course website. You can download all at once and keep them synced by using git. To get started with this, run:

git clone https://github.com/resourceful/ICP.git

Now you should have all the materials in Introduction to Computer Programming; to get the latest version, run the following command in the repository.

git pull

To read the notebook

In the directory where the relevant course materials are, run:

jupyter notebook

Useful Sites

• https://www.codesdope.com/ - Well documented online learning site for a number of programming languages.
• https://cs50.harvard.edu - People say CS50 in hazard is "Demanding, but definitely doable. Social, but educational. A focused topic, but broadly applicable skills. CS50 is the quintessential Harvard (and Yale!) course." There video lectures on c and its applications are really helpful.
• Intro to CS and Prog in Python MIT - There video lectures on python are also helpful
• Intro. to C and C++ MIT - The slide for lecture one is impressive. They give lectures on c and c++
• Practical Programming in C MIT - Yet, another lecture on C
• cs107 Stanford (archived, 2016) - For deeper understanding of C and its relationship with the system.