Unit Overview - Applied Computer Science

Welcome to Applied Computer Science! This comprehensive overview will guide you through the course structure, learning objectives, and key concepts you'll master.

Welcome to Applied Computer Science

Video Overview

This welcome video introduces you to the Applied Computer Science course, covering:

Course structure and learning path
Key concepts and technologies
Learning objectives and outcomes
Success strategies and tips

Course Structure

Module 1: Data Structures Foundations

Linked Lists Stacks Queues Recursion

Linked Lists and Advanced Operations
Stacks and Queues Implementation
Introduction to Recursion
Time and Space Complexity Analysis

Module 2: Tree Structures

Binary Trees Traversal BST Balancing

Binary Trees Fundamentals
Tree Traversal Algorithms
Binary Search Trees
Tree Balancing Techniques

Module 3: Advanced Data Structures

Hash Tables Sorting Analysis Optimization

Hash Tables and Collision Resolution
Sorting Algorithms
Algorithm Analysis
Performance Optimization

Module 4: Graph Theory

Graph Representation Traversal Shortest Path

Graph Representations
Graph Traversal Algorithms
Shortest Path Algorithms
Real-world Applications

What to Expect

Time Commitment

Lecture Videos

2-3 hours per week

Practice Exercises

4-6 hours per week

Projects

6-8 hours per week

Assessment Structure

Module Projects 40%

Practice Exercises 30%

Final Assessment 30%

Available Resources

Core Learning Materials

Video lectures and tutorials
Interactive coding exercises
Comprehensive documentation
Practice problem sets

Support Services

One-on-one mentoring
Discussion forums
Code review sessions
Office hours

Supplementary Materials

Reference implementations
Algorithm visualizations
Case studies
Industry examples

Development Tools

IDE setup guides
Testing frameworks
Version control systems
Code quality tools