NYCUDOPCS

Course material of the introduction to computer and computer science of the Department of Photonics, National Yang Ming Chiao Tung University, Hsinchu, Taiwan.

This is an introductory course for the student with a little or no programming experience, especially for the freshman of college. However, students in any education phase are always welcome to use any content of this repository.

Attention!

If you are reading and using any content of this repository, you are acknowledging the following:

1. Follow the Mozilla Public License Version 2.0 (MPL-2.0 license).

2. Admit Taiwan is an independent country, not part of China.

Table of Contents

Part I: Fundamentals of Computer Science and Python Programming

• 01. Overview
• 02. Python Basics, Branching, and Iteration
• 03. Simple Numerical Algorithms I
• 04. Abstraction, Decomposition, and Functions
• 05. Tuples, Lists, Mutability, Aliasing, and Cloning
• 06. Recursion and Dictionaries
• 07. Modules, Packages, Exception, and Assertion
• 08. Introduction to Object-Oriented Programming I
• 09. Introduction to Object-Oriented Programming II
• 10. Introduction to Computational Complexity
• 11. Simple Numerical Algorithms II

Part II: Introduction to Data Processing and Visualization with Python

• 12. Introduction to NumPy and Matplotlib I
• 13. Introduction to NumPy and Matplotlib II
• 14. Data Analysis and More Data Visualization with Python I
• 15. Data Analysis and More Data Visualization with Python II
• 16. Knapsack Problems, Dynamic Programming, and Graph Optimization Problems

Part III: Data Science with Python

• 17. Random Walks and Stochastic Programs
• 18. Limit Theorems and Monte Carlo Method
• 19. Introduction to Statistical Inference
• 20. Randomized Trials and Hypothesis Checking

Archives

• A01. Introduction to Concurrency and Parallelism
• A02. Homeworks