Computer Science

Stack data structure and its implementation & applications

data structure and its types in detail

Linea data structure : Queue and its types in detail

template and its types in C++ in detail

Exception Handling with C++ with examples in detail

File Handling in C++ in detail

POLYMORPHISM and its types operator overloading, function overloading, virtual function, function overriding, run-time polymorphism, compile-time polymorphism

Inheritance in C++ and its types with example in detail

Class, Objects, defining member functions, Arrays of Objects, Pointers and classes, Static Data Members, Static Member Functions, Passing Objects as Function Arguments, constructors, types of constructors, destructors, this pointer, Access Specifier , Friend Functions, Inline functions.

29 Practical questions for OOPS with C++

Evolution of OOP, OOP Paradigm. Advantages of OOP, comparison between functional programming and OOP approach. Characteristics of object-oriented language-class, object, inheritance, reusability, user defined data types, polymorphism, overloading.

Planning Document

Mechanical vs membrane keyboards

How 3D Printing Will Change Our Future

Hiring a Black Hat Hacker

Forensic Use of Default Passwords Database

COMPUTER SCIENCE EXAM PREP (COMPLETE WITH CORRECT ANSWERS)

Complete Core-13 Artificial Intelligence Unit 4 notes on Dealing with Uncertainty, Reasoning, and Natural Language Processing (NLP). Ideal for Computer Science students preparing for exams, projects, or quick revision. Covers: Causes of uncertainty & Truth Maintenance Systems (TMS) Types of reasoning: deductive, inductive, abductive, monotonic & non-monotonic Probabilistic reasoning, Bayes’ theorem & Bayesian inference Basics of Natural Language Processing (NLP): NLU vs NLG A...

Complete Core-13 Artificial Intelligence Unit 3 notes focused on Knowledge Representation & Reasoning. Perfect for Computer Science exam prep and quick revision. Covers: Types of knowledge: declarative, procedural, heuristic, meta, structural Propositional & First-Order Predicate Logic (FOL) Quantifiers, inference rules & resolution principle Unification process with examples Semantic networks, frames, scripts & production rules Clear explanations with examples — ideal ...

This document provides a detailed lecture summary on Artificial Intelligence, specifically focusing on Unit 2: Problem Solving and Searching Techniques. It covers search algorithm terminologies, properties of search algorithms, production systems, and control strategies. The material explains uninformed and informed search methods, including BFS, DFS, A*, heuristic techniques, hill climbing variations, and constraint satisfaction problems (CSP). It also explores game-playing strategies such as t...