crash course nta net

Crash Course - NTA NET 2022

Complete Syllabus of Paper 1 and Paper 2

Overall Rating - 9/10,  Avg Rating 9.5,  Rating Count 566

Language: English and Hindi

Instructors: Acadflix Educators 

Rs.3000/- (including GST)

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Why this course?

Description

This crash course is designed for the students who are preparing for NTA NET Oct 2021 and NTA NET Dec 2021 Computer Science and Application. In this course, we will cover the syllabus of Paper 1 and Paper 2 in Live classes and through PYQs of NTA NET. This Crash course will be for 60 days and each day 4 hours of live classes. In this course, we will cover all concepts of Paper 1 and Paper 2 with MCQs and PYQs along with an explanation of concepts.

In this course, you will get complete content to crack NTA NET JRF or lecturership. There will be daily live classes and quiz at the end of the week. Every live class is recorded so that if you miss any live class you can cover it by watching the recordings. We will cover the complete syllabus of Paper 1 and Paper 2 in this course.  


Course Curriculum

NTA UGC NET - Paper 1

  • Teaching Aptitude
  • Research Aptitude
  • Comprehension
  • Communication
  • Mathematical Reasoning and Aptitude
  • Logical Reasoning
  • Data Interpretation
  • Information and Communication Technology (ICT)
  • People, Development and Environment
  • Higher Education System
 NTA UGC NET Paper 2 (Computer Science and Application)

Unit - 1 Discrete Mathematics and Optimization

  • Mathematical Logic
  • Sets and Relations
  • Counting, Mathematical Induction, and Discrete Probability
  • Group Theory:
  • Graph Theory
  • Boolean Algebra
  • Optimization
Unit - 2 Computer Architecture Systems

  • Digital Logic Circuits and Components
  • Data Representation
  • Register Transfer and Micro operations
  • Basic Computer Organization and Design
  • Programming the Basic Computer
  • Microprogrammed Control
  • Central Processing Unit
  • Pipeline and Vector Processing
  • Input-Output Organization
  • Memory Hierarchy
  • Multiprocessors
Unit - 3 Programming Languages and Computer Graphics 

  • Language Design and Translation Issues
  • Elementary Data Types
  • Programming in C
  • Object-Oriented Programming
  • Programming in C++
  • Web Programming
  • Computer Graphics
  • 2-D Geometrical Transforms and Viewing
  • 3-D Object Representation, Geometric Transformations, and Viewing
Unit -  4 Database Management Systems

  • Database System Concepts and Architecture
  • Data Modeling
  • SQL
  • Normalization for Relational Databases
  • Enhanced Data Models
  • Data Warehousing and Data Mining
  • Big Data Systems
  • NoSQL
Unit -5 System Softwares and Operating Systems

  • System Software
  • Basics of Operating Systems
  • Process Management
  • Threads
  • CPU Scheduling
  • Deadlocks
  • Memory Management
  • Storage Management
  • File and Input/Output Systems
  • Security
  • Virtual Machines
  • Linux Operating Systems
  • Windows Operating Systems
  • Distributed Systems
Unit - 6 Software Engineering

  • Software Process Models
  • Software Requirements
  • Software Design
  • Software Quality
  • Estimation and Scheduling of Software Projects
  • Software Testing
  • Software Configuration Management
Unit - 7 Data Structures and Algorithms 

  • Data Structures
  • Performance Analysis of Algorithms and Recurrences
  • Design Techniques
  • Lower Bound Theory
  • Graph Algorithms
  • Complexity Theory
  • Selected Topics
  • Advanced Algorithms
Unit - 8 Theory of Computation and Compilers

  • Theory of Computation
  • Regular Language Models
  • Context-Free Language
  • Turing Machines(TM)
  • Unsolvable Problems and Computational Complexity
  • Syntax Analysis
  • Semantic Analysis
  • Run-Time System
  • Intermediate Code Generation
  • Code Generation and Code Optimization
Unit - 9 Data Communication and Computer Networks 
  • Data Communication:
  • Computer Networks
  • Network Models
  • Functions of OSI and TCP/IP Layers
  • World Wide Web (WWW)
  • Network Security
  • Mobile Technology
  • Cloud Computing and IoT  

Unit - 10 Artificial Intelligence

  • Approaches to AI
  • Knowledge Representation
  • Planning
  • Natural Language Processing
  • Multi-Agent Systems
  • Fuzzy Sets
  • Genetic Algorithms (GA)
  • Artificial Neural Networks (ANN)





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