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FAQs

Q1: Why should I learn Python before diving into Django?👇

Learning Python is essential because Django is a web framework built on top of Python. A solid understanding of Python will help you grasp Django concepts more easily and allow you to write efficient and effective code.

Q2: Do I need to be an expert in web development before learning Django?👇

While prior web development experience can be helpful, Django is beginner-friendly. It's possible to start learning Django as a newcomer, but having a foundational understanding of web development concepts like HTML, CSS, and HTTP will make the learning process smoother.

Solution of Linear Equations (Inconsistent) using in Python using SVD Si...

DBMS

Topics:

• Database System Concepts and Architecture
• Data Modelling
• SQL
• Normalization for Relational Databases
• Enhanced Data Models
• Data Warehousing and Data Mining
• Big Data Systems
• NOSQL

Database System Concepts and Architecture

• Data Models, Schema and Instances
• Three-Schema Architecture and Data Independence
• Data Languages and Interfaces
• Centralized and Client/Server Architecture for DBMS

Data Modelling

• Entity-Relationship Diagram
• Relational Model - Constraints, Languages, Design and Programming
• Relational Database Schema
• Update Operations and Dealing with Constraints Violations
• Relational Algebra
• Relational Calculus
• Codd Rules

SQL

• Data Definition and Data Types
• Constraints, Queries, Insert, Delete and Update Statements
• Views, Stored Procedures and Functions
• Database Triggers, SQL Injections

Normalization for Relational Databases

• Functional Dependencies and Normalization
• Algorithms for Query Processing and Optimization
• Transaction Processing, Concurrency Control Techniques and Database Recovery Techniques
• Object and Object-Relational Databases
• Database Security and Authorization

Enhanced Data Models

• Temporal Database Concepts, Multimedia, Deductive, XML and Internet Databases
• Mobile Databases, Geographic Information Systems
• Genome Data Management
• Distributed Databases and Client - Server Architectures

Data Warehousing and Data Mining

• Data Modeling for Data Warehouses, Concept Hierarchy, OLAP and OLTP
• Association Rules, Clustering, Regression, Support Vector Machine
• K-Nearest Neighbour, Hidden Markov Model, Summarization, Dependency Modeling 
• Link Analysis
• Sequencing Analysis
• Social Network Analysis

Big Data Systems

• Big Data Characteristics
• Types of Big Data, 
• Big Data Architecture
• Introduction to Map-Reduce and Hadoop
• Distributed File System, HDFS

NOSQL

• NOSQL and Query Optimization
• Different NOSQL Products, Querying and Managing NOSQL
• Indexing and Ordering Data Sets
• NOSQL in Cloud

Computer Network

Data Communication: Components of a Data Communication System, Simplex, Half- Duplex and Duplex Modes of Communication; Analog and Digital Signals; Noiseless and Noisy Channels; Bandwidth, Throughput and Latency; Digital and Analog Transmission; Data Encoding and Modulation Techniques; Broadband and Baseband Transmission; Multiplexing, Transmission Media, Transmission Errors, Error Handling Mechanisms.

Computer Networks: Network Topologies, Local Area Networks, Metropolitan Area Networks, Wide Area Network, Wireless Networks, Internet.

Network Models: Layered Architecture, OSI Reference Model and its Protocols; TCP/IP Protocol Suite, Physical, Logical, Port and Specific Addresses; Switching Techniques.
Functions of OSI and TCP/IP Layers: Framing, Error Detection and Correction; Flow and Error Control; Sliding Window Protocol, HDLC, Multiple Access – CSMA/CD, CSMA/CA, Reservation, Polling, Token Passing, FDMA, CDMA, TDMA, Network Devices, Backbone Networks, Virtual LANs.
IPv4 Structure and Address Space; Classful and Classless Addressing; Datagram, Fragmentation and Checksum; IPv6 Packet Format, Mapping Logical to Physical Address (ARP), Direct and Indirect Network Layer Delivery; Routing Algorithms, TCP, UDP and SCTP Protocols; Flow Control, Error Control and Congestion Control in TCP and SCTP.
World Wide Web (WWW): Uniform Resource Locator (URL), Domain Name Service (DNS), Resolution - Mapping Names to Addresses and Addresses to Names; Electronic Mail Architecture, SMTP, POP and IMAP; TELNET and FTP.
Network Security: Malwares, Cryptography and Steganography; Secret-Key Algorithms, Public-Key Algorithms, Digital Signature, Virtual Private Networks, Firewalls.

Mobile Technology: GSM and CDMA; Services and Architecture of GSM and Mobile Computing; Middleware and Gateway for Mobile Computing; Mobile IP and Mobile Communication Protocol; Communication Satellites, Wireless Networks and Topologies; Cellular Topology, Mobile Adhoc Networks, Wireless Transmission and Wireless LANs; Wireless Geolocation Systems, GPRS and SMS.
Cloud Computing and IoT: SaaS, PaaS, IaaS, Public and Private Cloud; Virtualization, Virtual Server, Cloud Storage, Database Storage, Resource Management, Service Level Agreement, Basics of IoT.

JNU declared MA/MSc/MCA results

JNU has declared MA, MSc and MCA results today. Candidates can check their results on official website https://admissions.jnu.ac.in/ .
JNU already has declared MPhil and PhD written result on 24 June. Candidates can download their viva voce letter from above website link.

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