Object Oriented Java Programming: Data Structures and Beyond Specialization Course Syllabus

Overview: This specialization provides a comprehensive exploration of object-oriented Java programming and data structures, designed for learners with prior Java experience. Over approximately 146 hours, you'll master core OOP concepts, implement and analyze key data structures, and apply your skills to real-world problems like social network analysis. The program blends theory with hands-on projects, culminating in a capstone project that demonstrates your proficiency. With flexible pacing, it's ideal for working professionals aiming to advance their software development careers.

Module 1: Object Oriented Programming in Java

Estimated time: 39 hours

• Classes and Objects in Java
• Encapsulation, Inheritance, and Polymorphism
• Interfaces and Abstract Classes
• Building Interactive Graphical Applications

Module 2: Data Structures and Performance

Estimated time: 41 hours

• Implementation of Linked Lists, Stacks, and Queues
• Tree Data Structures and Traversals
• Hash Tables and Collision Resolution
• Performance Analysis using Big-O Notation

Module 3: Advanced Data Structures in Java

Estimated time: 28 hours

• Graph Representation and Traversal Algorithms
• Shortest Path and Minimum Spanning Tree Algorithms
• Real-World Applications in Route Planning

Module 4: Mastering the Software Engineering Interview

Estimated time: 20 hours

• Coding Challenges and Problem-Solving Techniques
• Algorithmic Thinking and Optimization
• Mock Interviews with Industry Professionals

Module 5: Capstone: Analyzing (Social) Network Data

Estimated time: 17 hours

• Modeling Social Networks as Graphs
• Identifying Influential Nodes and Communities
• Analyzing Real-World Network Data

Module 6: Final Project

Estimated time: 17 hours

• Design and Implement a Social Network Analyzer
• Apply Data Structures and Algorithmic Techniques
• Submit Code and Project Report for Evaluation

Prerequisites

• Prior programming experience in Java
• Familiarity with basic programming constructs (loops, conditionals, methods)
• Basic understanding of mathematical reasoning and discrete math concepts

What You'll Be Able to Do After

• Design and implement object-oriented Java applications using OOP principles
• Choose and implement appropriate data structures for performance optimization
• Analyze algorithm efficiency using Big-O notation
• Build real-world applications such as network analysis tools
• Confidently prepare for and succeed in technical software engineering interviews