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Session 1:
Using an IDE, components of a computer, Java programming overview, compiled vs. interpreted language, static vs. dynamic languages.

Session 2:
Source control, code reviews, naming conventions, debugging in Eclipse, intro to data structures

Session 3:
Data structures: arrays, lists, stacks, queues Asymptotic notation (Big “Oh”)

Session 4:
Advanced data structures: trees and traversals, sets

Session 5:
Advanced data structures: maps, graphs

Session 7:
Object oriented programming (OOP): Constructors, inheritance, composition, polymorphism, encapsulation

Session 7:
Guest Speaker

Session 8:
Object oriented programming: scope, object lifecycle

Session 9:
Object oriented programming: memory usage and real world design examples

Session 10:
Algorithms: Algorithm analysis (Big “Oh”), recursion, memoization, documentation

Session 11:
Algorithms: Graph traversal, searching, sorting

Session 12:
Design patterns: MVC, asynchronous operations, and other common patterns and how to choose the right design pattern

Session 13:
Concurrency, multi-threading Logging and performance testing

Session 14:
Files, databases, and other persistent data stores: Overview of File I/O, SQL, DBs, message queues, etc.

Session 15:
Relational and NoSQL data stores Deploying to production

Session 16:
Intro to distributed systems Final Project Workshop

Session 17:
Distributed systems continued Final Project Workshop

Session 18:
Final Project Presentations