Author: Anil Warbhe
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Final Year (Undergraduate) Project Ideas
Below is a curated list of innovative project ideas across various domains, designed to challenge students, foster practical skills, and align with industry demands. These topics are grouped by domain, reflecting recent advancements and real-world applications suitable for undergraduate students in 2025. 1. Artificial Intelligence and Machine Learning (AI/ML) 2. Internet of Things (IoT) 3.…
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Study Notes: Object Oriented Concepts with Question Bank and Practicals (Open Elective I)
B. Tech. Third Semester (Information Technology), Rashtrasant Tukadoji Maharaj University, Nagpur Subject Code: BOE3T01/3 Syllabus UNIT 1: Introduction to Objects, Encapsulation, Polymorphism, Inheritance, Dynamic binding, Message Passing, Abstract Classes, Access Modifiers. Basics of a Typical C++Environment, Pre-processor Directives, Header Files and Namespaces, Library files. UNIT 2: Classes and Data Abstraction: Introduction, Structures – Class -Constructors…
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Study Notes: Data Structure and Algorithms with Question Bank and Practicals
B. Tech. Third Semester (Information Technology), Rashtrasant Tukadoji Maharaj University, Nagpur Subject Code: BIT3T09 Syllabus UNIT 1: Introduction to AlgorithmIntroduction to Algorithm General Concepts of Data Structures; Types of Data Structures with its properties and operations; Time and Space Analysis of Algorithms, Big Oh, theta and omega notations; Average, Best and Worst Case Analysis; Sorting…
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Datawearhousing and Mining: Unit III Notes
Seventh Semester Information Technology Subject Code: BTIT701T Unit III: OLAP Analytical Processing – Lecture Notes 1. Introduction to OLAP (Online Analytical Processing) Online Analytical Processing (OLAP) is a category of software technology that enables users to analyze information from multiple database systems at the same time [41]. It allows users to extract and query data…
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Datawearhousing and Mining: Unit II Notes
Seventh Semester Information Technology Subject Code: BTIT701T 1. Why Preprocess the Data? Real-world data is often messy, incomplete, inconsistent, and contains noise. Before raw data can be effectively used for data mining tasks like classification, clustering, or association rule mining, it needs to be prepared and refined. This crucial preparatory step is known as Data…
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Datawearhousing and Mining: Unit I Notes
Seventh Semester Information Technology Subject Code: BTIT701T Syllabus: UNIT I: Introduction to Data Warehousing: What is Data Warehousing?. Operational v/s decision support systems, Data warehousing Architecture. Data Warehouse Models, Metadata Repository. Data Marts and Metadata. Data warehouses versus Data Marts. UNIT ll: Data Preprocessing: Why preprocess the data?. Major Tasks in data preprocessing. Descriptive data…