Advanced Programming Practice - JAVA

Learn how object serialization converts an object's state into a sequence of bytes for storage, transmission, or persistence. Deserialization reconstructs the object from those bytes, including class structure and metadata.

Explore methods, classes, and objects in Java to understand object oriented concepts. Learn how methods encapsulate tasks, declare return types and parameters, and how classes blueprint object states and behaviors.

Demonstrates how classes serve as blueprints for objects by defining variables as states and methods as behaviors, then creates a box class and a box object to compute volume.

Explore this keyword as the reference to the calling object, differentiating instance and local variables with the same name, and using it in constructors and instance methods.

Explore Java arrays, from one-dimensional lists to multi-dimensional matrices, covering declaration, instantiation, syntax, and zero-based indexing, while printing elements with traditional and enhanced for loops.

Explore Java iteration through for, while, do-while, and enhanced for loops, learning when to use each based on known versus unknown iterations, with examples, syntax highlights, and reduced repetition.

Explore concurrent programming concepts such as shared memory and message passing, and learn how Java supports multithreading through thread creation, synchronization, and thread lifecycle management.

Explore Java applets, compare character and graphical user interfaces, learn the Abstract Window Toolkit, the applet life cycle, and key graphics and event handling for browser-based Java programs.

Study functional programming as a declarative paradigm based on pure functions and immutability, using map, filter, and reduce with recursion and higher-order functions.

Explore the logical programming paradigm where computations arise from proofs, using predicates, facts, and rules to derive conclusions through inference and resolution.

Explore parallel programming paradigms, including explicit and implicit parallelism, shared memory and message passing, and data and domain decomposition for scalable computation.

Explore the client-server model, socket fundamentals, and datagram versus stream sockets, with Python examples showing how to create, connect, bind, listen, accept, and exchange data over IP addresses and ports.