Introduction to Computer Science
Course Topics
- Introduction to Computer Science and Python Basics
- Overview of computer science and its applications
- Introduction to Python programming language
- Variables, data types, and basic input/output
- Control Structures and Functions
- Conditional statements (if-else, switch)
- Looping structures (while, for)
- Function definition and parameter passing
- Recursion and its applications
- Simple Algorithms and Testing
- Problem-solving strategies
- Iterative algorithms and their analysis
- Introduction to testing and debugging techniques
- Introduction to Data Structures
- Lists, tuples, and dictionaries
- Manipulating and accessing data structures
- Introduction to complexity analysis
- Object-Oriented Programming
- Introduction to object-oriented programming (OOP) concepts
- Classes, objects, and methods
- Encapsulation, inheritance, and polymorphism
- Debugging and Exceptions
- Understanding common programming errors
- Techniques for debugging and troubleshooting
- Handling exceptions and error conditions
- Introduction to Searching and Sorting Algorithms
- Linear and binary search algorithms
- Bubble sort, selection sort, and insertion sort
- Analysis of algorithmic efficiency
- Introduction to Simulation and Randomness
- Monte Carlo simulation and its applications
- Generating random numbers and probability distributions
- Introduction to Dynamic Programming
- Recursive vs. dynamic programming approaches
- Memoization and tabulation techniques
- Solving optimization problems
- Wrap-up and Final Project
- Review of course topics and concepts
- Final programming project showcasing learned skills
- Presentations and sharing of project outcomes
Disclaimer
The course syllabus is subject to change at the discretion of the instructor. Any modifications or updates will be communicated in advance.