Module 1: Introduction to Computers, Programs, and C
This module lays the groundwork, exploring the essential components and concepts. And more...
Module 2: Understanding Programming Languages
This section explores the different dialects used to communicate our intentions to the machine.
The Spectrum of Languages
Programming languages form a hierarchy, from the raw language of the machine to more human-readable forms.
Module 3: The C Programming Language
We now focus on the venerable C language.
Why Learn C?
- Foundation for many other languages (C++, Java, C#).
- Provides low-level memory manipulation capabilities.
- Used in system programming, embedded systems, game development, and high-performance computing.
- Offers a good understanding of how computers work at a deeper level.
A simple C program might look like this:
#include <stdio.h>
int main() {
// This is a comment
printf("Hello, World of C!\\n");
return 0;
}
#include <stdio.h>
: Includes the standard input/output library.int main() { ... }
: The main function where execution begins.printf(...)
: A function to print output to the console.\\n
: Represents a newline character.return 0;
: Indicates successful program termination.
Module 4: Data Hierarchy
Understanding how data is structured, from the smallest bit to vast databases.
Data Organization Exercise
Consider a student enrollment system. Identify examples of:
1. Bits (conceptual, e.g., a flag for 'is_enrolled')
2. Characters (e.g., a student's initial)
3. Fields (e.g., 'FirstName', 'StudentID', 'GPA')
4. Records (e.g., all information for one student)
5. Files (e.g., a 'students.csv' containing all student records)
6. Databases (e.g., a relational database managing tables of students, courses, and enrollments)
Reflect on how these levels build upon each other.
Module 5: Typical C Development Environment
(The slides mention this but provide no details. We can elaborate based on common practices.)
Setting up Your Workshop
A typical C development environment includes:
- Text Editor: To write your C source code (e.g., VS Code, Sublime Text, Vim, Emacs, or a full-fledged IDE).
- C Compiler: To translate your source code into an executable program (e.g., GCC (GNU Compiler Collection) on Linux/macOS, MinGW for Windows, or Clang).
- Debugger: A tool to help you find and fix errors in your code by stepping through it line by line (e.g., GDB (GNU Debugger)).
- Build Tools (Optional for larger projects): Tools like
make
to automate the compilation process of projects with multiple source files. - Version Control System (Recommended): Tools like Git to track changes to your code and collaborate with others.