C and Go: Classical and Modern Programming

Overview

This specialization is intended for all programming enthusiasts, as well as beginners, computer and other scientists, and artificial intelligence enthusiasts seeking to develop their programming skills in the classical languages of C and its more modern successor Go. Through the four courses—two in C, and two in Go—you will cover the basics of programming in C and move on to the more advanced Go semantics and syntax, which will prepare you to apply these skills to higher-level problems using AI algorithms and Monte Carlo simulations.

Syllabus

• Course 1: Introduction to C Programming
Basics of C
Variables and Data Types
Operators and Expressions
Control Structures: Loops and Conditionals
Functions in C
Defining and Calling Functions
Scope and Lifetime of Variables
Pointers and Memory Management
Understanding Pointers
Dynamic Memory Allocation
Basic Data Structures
Arrays and Strings
Structs
• Course 2: Advanced C Programming Concepts
Advanced Data Structures
Linked Lists
Stacks and Queues
File Handling in C
Reading and Writing Files
Debugging and Error Handling
Using gdb and Valgrind
Introduction to Algorithms
Sorting and Searching Algorithms
Basic Algorithmic Complexity
• Course 3: Introduction to Go (Golang)
Basics of Go
Syntax Overview
Variables, Constants, and Data Types
Control Structures and Functions
Conditionals and Loops
Defining and Using Functions
Basics of Concurrency in Go
Goroutines and Channels
Error Handling and Testing
Using Error Values
Writing and Running Tests
• Course 4: Advanced Go Programming Techniques
Advanced Concurrency Patterns
Select Statements
Mutexes and WaitGroups
Go Modules and Package Management
Managing Dependencies
Interfacing with C Code
Using cgo for Integrating C
Applying Go to AI Algorithms
Implementing Basic AI Algorithms
Monte Carlo Simulation Techniques

Taught by

Ira Pohl

Subjects

Programming