GATE NET JRF SET COMPUTER SCIENCE (CS)
Kanalga Telegram’da o‘tish
🖥 Computer Science Complete Study Material And Notes And Quiz Powered By - Sk Regar ❤️Exam Covered - 🔺Assistant Professor 🔺GATE 🔺UGC NET & JRF , SET 🔺Computer Teacher 🔺Programmer , IA , Tgt , Pgt And All Other
Ko'proq ko'rsatish2 215
Obunachilar
Ma'lumot yo'q24 soatlar
-17 kunlar
Ma'lumot yo'q30 kunlar
Postlar arxiv
Jo candidate Msc/MCA/ME/M.Tech pre ya final year me h we Candidate ugc net ka form apply jrur kre ...
Is bar ugc net ke form me 3 catagory di gai hai
✓Assistant Professor
✓Jrf
✓PhD Only
Jin Candidate Ki Over Age Ho gai wo sirf net or phd wale button pr click kre
Jinko jrf nikalna hai wo sab check box pr tick kre
Iske alava jinka jrf june me nikal gaya tha or jinka ab tk phd me admission nhi huya wo log sabhi phd wale click kre
Iske alava aap jrur exam deve or tayari kre
Read Carefully All These Important Topics for Your Upcoming Ugc NET Examination Dec 2025 Session 😍
All Above Given Topics Are Very Important And Highly Recommended For UGC NET CSE Preparation 😍
❤️😍💎Most Important And Selected Topics For UGC NET DEC 2025 CYCLE COMPUTER SCIENCE -
😍Unit 1 - Discrete Structures and Optimisation
💎Mathematical Logic
💎Sets & Graph Theory
💎Mathematical Induction and
Probability
😍Unit 2 - Computer System Architecture
💎Circuits &Data Representation
💎Register Transfer
💎Microprogrammed Control
😍Unit 3 - Programming Languages and Computer
Graphics
💎Language Design
💎Data Types
💎Object-Oriented Programming
💎Transformations & Viewing
😍Unit 4 - Database Management Systems
💎SQL & Data Warehousing
💎Normalisation & Fd
💎NoSQL
😍Unit 5 - System Software and Operating System
💎System Software
💎OS & Threads
💎CPU Scheduling
💎Process Management
😍Unit 6 - Software Engineering
💎Software Process Models
💎Scheduling
💎SCM & Software Quality
😍Unit 7 - Data Structures and Algorithms
💎Algorithms &
Recurrences
💎Graph Algorithms & Complexity
😍Unit 8 - Theory of Computation and Compilers
💎Context-Free Language
💎Unsolvable Problems &
Complexity
💎Regular Language
💎Code Generation & Code Optimisation
😍Unit 9 - Data Communication and Computer Networks
💎Functions of OSI and TCP/IP Layers
💎Mobile Technology & Network & Security
😍Unit 10 - Artificial Intelligence (AI)
💎Artificial Neural Networks (ANN)
💎Genetic Algorithms (GA)
💎Natural Language Processing
💎Knowledge Representation
💎Multi-Agent Systems
Wow channel me haters bhi h nice 🙂
Koi issue nhi h jinko issue h wo channel leave kre baki jinko ache se preparation krni h wo bindas hoke padhe
Thodi der me important topics batata hu for net all unit wise topics 😍🖊
Hope we launching this test series before Ugc NET Dec 2025 Examination 😍🙏
Very Beneficial For Ugc NET Dec Examination 😍🖊
Target Ugc NET 🎯 Test Series By
Mr. Sandeep Kumar
Assistant Professor, Computer
😍Guys Now We Startup A Biggest Approach In Computer Science Field
in computer science world......very soon I am launching a PDF of 15 Model For Ugc NET Computer Science and this book pdf is available in just 249 Rs
😍After clearing exams like UGC NET and others in the computer field, I thought, "Why not help other students clearing Their UGC NET & JRF and GATE Exams ?"
😍I studied from various sources to clear exams like UGC NET, JRF, and I discovered I could create a PDF containing 15 model papers for UGC NET Computer Science, covering the entire syllabus.
😍This Book Pdf Available Just In 249 Rs And You can also print this PDF. We will launch this PDF very soon, and we hope it will be very helpful for your exam.
😍After this PDF, we will soon create a formula book for GATE 2026, a test series book, and later a book covering the entire theory of UGC NET.
..........
😍दोस्तों, अब हम कंप्यूटर विज्ञान के क्षेत्र में एक बड़ा कदम उठा रहे हैं
कंप्यूटर विज्ञान की दुनिया में......बहुत जल्द मैं UGC NET कंप्यूटर विज्ञान के लिए 15 मॉडल पेपर्स की एक PDF लॉन्च कर रहा हूँ और यह पुस्तक PDF केवल 249 रुपये में उपलब्ध है।
😍कंप्यूटर क्षेत्र में UGC NET और अन्य परीक्षाएँ पास करने के बाद, मैंने सोचा, "क्यों न दूसरे छात्रों को UGC NET, JRF और GATE परीक्षाएँ पास करने में मदद की जाए?"
😍मैंने UGC NET, JRF जैसी परीक्षाएँ पास करने के लिए विभिन्न स्रोतों से अध्ययन किया, और मुझे पता चला कि मैं UGC NET कंप्यूटर विज्ञान के लिए 15 मॉडल पेपर्स वाली एक PDF बना सकता हूँ, जिसमें पूरा पाठ्यक्रम शामिल है।
😍यह पुस्तक PDF केवल 249 रुपये में उपलब्ध है और आप इस PDF को प्रिंट भी कर सकते हैं। हम इस PDF को बहुत जल्द लॉन्च करेंगे, और हमें उम्मीद है कि यह आपकी परीक्षा के लिए बहुत उपयोगी होगी।
😍इस पीडीएफ के बाद, हम जल्द ही GATE 2026 के लिए एक फॉर्मूला बुक, एक टेस्ट सीरीज़ बुक और बाद में UGC NET के संपूर्ण Syllabus को कवर करने वाली एक पुस्तक बनाएंगे। ✓✓
💎Modern Computer -
🖊A modern computer is an electronic device that can receive, store, process, and output data.
🖊It's a complex system consisting of hardware components like the central processing unit (CPU), memory, storage devices, input/output devices, and software that enables users to interact with the device.
🔐 Key Characteristics -
🌿Processing Power - Modern computers can perform billions of calculations per second, thanks to advanced processors and high-speed memory.
🌿Storage - They have large internal storage capacity, combined with cloud-based and external storage options, allowing for vast amounts of data to be stored.
🌿Connectivity - Modern computers can connect seamlessly to the internet and other devices, enabling functions like web browsing, video conferencing, and IoT interactions.
🌿Multitasking - They can handle multiple processes simultaneously without significant performance drops, allowing users to run several applications at once.
🌿Energy Efficiency - Modern computers are designed to consume less power while maintaining high performance, achieved through techniques like dynamic voltage and frequency scaling.
👁🗨Types of Modern Computers -
🌿Desktop Computers - Stationary computers used at work, home, school, or libraries, easy to upgrade.
🌿Laptop Computers - Portable computers that are battery- or AC-powered, suitable for mobility but less upgradeable.
🌿Tablets and Smartphones - Compact, portable devices that integrate computing and communication capabilities.
🌿Servers - Powerful computers that manage and provide access to resources, data, and applications over networks.
🌿Supercomputers - Extremely powerful computers used for complex simulations, scientific research, and data analysis.
🌺Fifth Generation ( 1980s to Present )
🖊Main electronic component: based on artificial intelligence, uses the Ultra Large-Scale Integration (ULSI) technology and parallel processing method.
🖊ULSI – millions of transistors on a single microchip
🖊Parallel processing method – use two or more microprocessors to run tasks simultaneously.
🖊Language – understand natural language (human language).
🖊Power – consume less power and generate less heat.
🖊Speed – remarkable improvement of speed, accuracy and reliability (in comparison with the fourth generation computers).
🖊Size – portable and small in size, and have a huge storage capacity.
🖊Input / output device – keyboard, monitor, mouse, trackpad (or touchpad), touchscreen, pen, speech input (recognise voice / speech), light scanner, printer, etc.
🖊Example – desktops, laptops, tablets, smartphones, etc.
🌺Fourth Generatio (1970s- 1980s)
🖊Main electronic component – very large-scale integration (VLSI) and microprocessor.
🖊VLSI– thousands of transistors on a single microchip.
🖊Memory – semiconductor memory (such as RAM, ROM, etc.)
🖊RAM (random-access memory) – a type of data storage (memory element) used in computers that temporary stores of programs and data (volatile: its contents are lost when the computer is turned off).
🖊ROM (read-only memory) – a type of data storage used in computers that permanently stores data and programs (non-volatile: its contents are retained even when the computer is turned off).
🖊Programming language – high level language (Python, C#, Java, JavaScript, Rust, Kotlin, etc.).
A mix of both third- and fourth-generation languages
🖊Size – smaller, cheaper and more efficient than third generation computers.
🖊Speed – improvement of speed, accuracy, and reliability (in comparison with the third generation computers).
🖊Input / output devices – keyboard, pointing devices, optical scanning, monitor, printer, etc.
🖊Network – a group of two or more computer systems linked together.
🖊Examples – IBM PC, STAR 1000, APPLE II, Apple Macintosh, etc.
🌺Third Generation (1960s-1970s)
🖊Main electronic component – integrated circuits (ICs)
🖊Memory – large magnetic core, magnetic tape / disk
🖊Programming language – high level language (FORTRAN, BASIC, Pascal, COBOL, C, etc.)
🖊Size – smaller, cheaper, and more efficient than second generation computers (they were called minicomputers).
🖊Speed – improvement of speed and reliability (in comparison with the second generation computers).
🖊Input / output devices – magnetic tape, keyboard, monitor, printer, etc.
🖊Examples – IBM 360, IBM 370, PDP-11, UNIVAC 1108, etc.
🌺Second Generation (1950s-1960s)
🖊Main electronic component – transistor
🖊Memory – magnetic core and magnetic tape / disk
🖊Programming language – assembly language
🖊Power and size – low power consumption, generated less heat, and smaller in size (in comparison with the first generation computers).
🖊Speed – improvement of speed and reliability (in comparison with the first generation computers).
🖊Input/output devices – punched cards and magnetic tape.
🖊Examples – IBM 1401, IBM 7090 and 7094, UNIVAC 1107, etc.
😍Generations Of Computer
🌺First Generation (1940s-1950s)
🖊Main electronic component – vacuum tube
🖊Main memory – magnetic drums and magnetic tapes
🖊Programming language – machine language
🖊Power – consume a lot of electricity and generate a lot of heat.
🖊Speed and size – very slow and very large in size (often taking up entire room).
🖊Input/output devices – punched cards and paper tape.
🖊Examples – ENIAC, UNIVAC1, IBM 650, IBM 701, etc.
💎Rather than requiring applications to gather data one record at a time by navigating the links, they would use a declarative query language that expressed what data was required, rather than the access path by which it should be found.
💎Finding an efficient access path to the data became the responsibility of the database management system, rather than the application programmer.
💎This process, called query optimization, depended on the fact that queries were expressed in terms of mathematical logic.
💎Codd's paper was picked up by two people at Berkeley, Eugene Wong and Michael Stonebraker.
💎They started a project known as INGRES using funding that had already been allocated for a geographical database project and student programmers to produce code.
💎Beginning in 1973, INGRES delivered its first test products which were generally ready for widespread use in 1979.
💎INGRES was similar to System R in a number of ways, including the use of a "language" for data access, known as QUEL. Over time, INGRES moved to the emerging SQL standard.
💎IBM itself did one test implementation of the relational model, PRTV, and a production one, Business System 12, both now discontinued.
💎Honeywell wrote MRDS for Multics, and now there are two new implementations: Alphora Dataphor and Rel. Most other DBMS implementations usually called relational are actually SQL DBMSs.
💎In 1970, the University of Michigan began development of the MICRO Information Management System based on D.L. Childs' Set-Theoretic Data model.
💎MICRO was used to manage very large data sets by the US Department of Labor, the U.S. Environmental Protection Agency, and researchers from the University of Alberta, the University of Michigan, and Wayne State University.
💎It ran on IBM mainframe computers using the Michigan Terminal System.
💎The system remained in production until 1998.
🎁1970s, relational DBMS
💎Edgar F. Codd worked at IBM in San Jose, California, in one of their offshoot offices that were primarily involved in the development of hard disk systems.
💎He was unhappy with the navigational model of the CODASYL approach, notably the lack of a "search" facility.
💎In 1970, he wrote a number of papers that outlined a new approach to database construction that eventually culminated in the groundbreaking A Relational Model of Data for Large Shared Data Banks.
💎In this paper, he described a new system for storing and working with large databases.
💎Instead of records being stored in some sort of linked list of free-form records as in CODASYL, Codd's idea was to organize the data as a number of "tables", each table being used for a different type of entity.
💎Each table would contain a fixed number of columns containing the attributes of the entity.
💎One or more columns of each table were designated as a primary key by which the rows of the table could be uniquely identified - cross-references between tables always used these primary keys, rather than disk addresses, and queries would join tables based on these key relationships, using a set of operations based on the mathematical system of relational calculus (from which the model takes its name).
💎Splitting the data into a set of normalized tables (or relations) aimed to ensure that each "fact" was only stored once, thus simplifying update operations.
💎Virtual tables called views could present the data in different ways for different users, but views could not be directly updated.
💎Codd used mathematical terms to define the model: relations, tuples, and domains rather than tables, rows, and columns. The terminology that is now familiar came from early implementations.
💎Codd would later criticize the tendency for practical implementations to depart from the mathematical foundations on which the model was based.
💎The use of primary keys (user-oriented identifiers) to represent cross-table relationships, rather than disk addresses, had two primary motivations.
💎From an engineering perspective, it enabled tables to be relocated and resized without expensive database reorganization.
💎But Codd was more interested in the difference in semantics: the use of explicit identifiers made it easier to define update operations with clean mathematical definitions, and it also enabled query operations to be defined in terms of the established discipline of first-order predicate calculus; because these operations have clean mathematical properties, it becomes possible to rewrite queries in provably correct ways, which is the basis of query optimization.
💎There is no loss of expressiveness compared with the hierarchic or network models, though the connections between tables are no longer so explicit.
💎In the hierarchic and network models, records were allowed to have a complex internal structure.
💎For example, the salary history of an employee might be represented as a "repeating group" within the employee record. In the relational model, the process of normalization led to such internal structures being replaced by data held in multiple tables, connected only by logical keys.
💎For instance, a common use of a database system is to track information about users, their name, login information, various addresses and phone numbers.
💎In the navigational approach, all of this data would be placed in a single variable-length record. In the relational approach, the data would be normalized into a user table, an address table and a phone number table (for instance).
💎Records would be created in these optional tables only if the address or phone numbers were actually provided.
💎As well as identifying rows/records using logical identifiers rather than disk addresses, Codd changed the way in which applications assembled data from multiple records.
🎁1960s, navigational DBMS
😍The introduction of the term database coincided with the availability of direct-access storage (disks and drums) from the mid-1960s onwards.
😍The term represented a contrast with the tape-based systems of the past, allowing shared interactive use rather than daily batch processing.
😍The Oxford English Dictionary cites a 1962 report by the System Development Corporation of California as the first to use the term "data-base" in a specific technical sense.
😍As computers grew in speed and capability, a number of general-purpose database systems emerged; by the mid-1960s a number of such systems had come into commercial use.
😍Interest in a standard began to grow, and Charles Bachman, author of one such product, the Integrated Data Store (IDS), founded the Database Task Group within CODASYL, the group responsible for the creation and standardization of COBOL.
😍In 1971, the Database Task Group delivered their standard, which generally became known as the CODASYL approach, and soon a number of commercial products based on this approach entered the market.
😍The CODASYL approach offered applications the ability to navigate around a linked data set which was formed into a large network. Applications could find records by one of three methods:
🎉Use of a primary key (known as a CALC key, typically implemented by hashing)
🎉Navigating relationships (called sets) from one record to another
Scanning all the records in a sequential order
😍Later systems added B-trees to provide alternate access paths. Many CODASYL databases also added a declarative query language for end users (as distinct from the navigational API). However, CODASYL databases were complex and required significant training and effort to produce useful applications.
😍IBM also had its own DBMS in 1966, known as Information Management System (IMS). IMS was a development of software written for the Apollo program on the System/360.
😍IMS was generally similar in concept to CODASYL, but used a strict hierarchy for its model of data navigation instead of CODASYL's network model.
😍Both concepts later became known as navigational databases due to the way data was accessed: the term was popularized by Bachman's 1973 Turing Award presentation The Programmer as Navigator.
😍IMS is classified by IBM as a hierarchical database. IDMS and Cincom Systems' TOTAL[broken anchor] databases are classified as network databases. IMS remains in use as of 2014.
🎁Database History
😍The sizes, capabilities, and performance of databases and their respective DBMSs have grown in orders of magnitude.
😍These performance increases were enabled by the technology progress in the areas of processors, computer memory, computer storage, and computer networks.
😍The concept of a database was made possible by the emergence of direct access storage media such as magnetic disks, which became widely available in the mid-1960s earlier systems relied on sequential storage of data on magnetic tape.
😍The subsequent development of database technology can be divided into three eras based on data model or structure - navigational, SQL/relational, and post-relational.
😍The two main early navigational data models were the hierarchical model and the CODASYL model (network model).
😍These were characterized by the use of pointers (often physical disk addresses) to follow relationships from one record to another.
😍The relational model, first proposed in 1970 by Edgar F. Codd, departed from this tradition by insisting that applications should search for data by content, rather than by following links.
😍The relational model employs sets of ledger-style tables, each used for a different type of entity.
😍Only in the mid-1980s did computing hardware become powerful enough to allow the wide deployment of relational systems (DBMSs plus applications).
😍By the early 1990s, however, relational systems dominated in all large-scale data processing applications, and as of 2018 they remain dominant - IBM Db2, Oracle, MySQL, and Microsoft SQL Server are the most searched DBMS.
😍The dominant database language, standardized SQL for the relational model, has influenced database languages for other data models.
😍Object databases were developed in the 1980s to overcome the inconvenience of object–relational impedance mismatch, which led to the coining of the term "post-relational" and also the development of hybrid object–relational databases.
😍The next generation of post-relational databases in the late 2000s became known as NoSQL databases, introducing fast key–value stores and document-oriented databases.
😍A competing "next generation" known as NewSQL databases attempted new implementations that retained the relational/SQL model while aiming to match the high performance of NoSQL compared to commercially available relational DBMSs.
HPSC ASSISTANT PROFESSOR Computer Science Mains Examination Official Question Paper
Examination Held On 16.08.2025 😍 ✓
Paper Level Are Soooo High As Seen ✓
Edit, Sign and Share PDF files on the go. Download the Acrobat Reader app: https://adobeacrobat.app.link/Mhhs4GmNsxb
