# National Eligibility Test¶

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The NTA NET exam for 2019 June is a fairly widespread exam. This blog series will be a tutorial / study guide for the exam in the Computer Science paper (code 87 I think).

Let's see how we score without official training / coaching and simply with wikipedia and python programming skills. I have attempted this exam before and have cleared it a few times but the Junior Research Fellowship always eluded me. I'll be aiming to obtain the JRF this time and in the process will document my study process in this blog series.

Let's be off!

The series will be following the syllabus provided by the exam body. I'll formulate the syllabus as the index for this blog post. At the time of writing the syllabus available here was used. Each week we will complete at least one unit. This entire syllabus should take around 9 weeks to write.

## Discrete Structures and Optimization¶

### Optimization¶

#### Cost Consideration in Project Scheduling.¶

• Unit - 2 Computer System Architecture ### Digital Logic Circuits and Components #### Digital Computers #### Logic Gates #### Boolean Algebra #### Map Simplifications #### Combinational Circuits #### Flip-Flops #### Sequential Circuits #### Integrated Circuits #### Decoders #### Multiplexers #### Registers and Counters #### Memory Unit. ### Data Representation #### Data Types #### Number Systems and Conversion #### Complements #### Fixed Point Representation #### Floating Point Representation #### Error Detection Codes #### Computer Arithmetic - Addition #### Subtraction #### Multiplication and Division Algorithms. Register Transfer and Microoperations Register Transfer Language #### Bus and Memory Transfers #### Arithmetic #### Logic and Shift Microoperations. ### Basic Computer Organization and Design #### Stored Program Organization and Instruction Codes #### Computer Registers #### Computer Instructions #### Timing and Control #### Instruction Cycle #### Memory-Reference Instructions #### Input-Output #### Interrupt. Programming the Basic Computer Machine Language #### Assembly Language #### Assembler #### Program Loops #### Subroutines #### Input-Output Programming. ### Microprogrammed Control #### Control Memory #### Address Sequencing #### Design of Control Unit. ### Central Processing Unit #### General Register Organization #### Stack Organization #### Instruction Formats #### Addressing Modes #### RISC Computer #### CISC Computer. ### Pipeline and Vector Processing #### Parallel Processing #### Pipelining #### Arithmetic Pipeline #### Instruction Pipeline #### Vector Processing Array Processors. ### Input-Output Organization #### Peripheral Devices #### Input-Output Interface #### Asynchronous Data Transfer #### Modes of Transfer #### Priority Interrupt #### DMA #### Serial Communication. ### Memory Hierarchy #### Main Memory #### Auxillary Memory #### Associative Memory #### Cache Memory #### Virtual Memory #### Memory Management Hardware. ### Multiprocessors #### Characteristics of Multiprocessors #### Interconnection Structures #### Interprocessor Arbitration #### Interprocessor Communication and Synchronization #### Cache Coherence #### Multicore Processors.
• Unit - 3 Programming Languages and Computer Graphics ### Language Design and Translation Issues #### Programming Language Concepts #### Paradigms and Models #### Programming Environments #### Virtual Computers and Binding Times #### Programming Language Syntax #### Stages in Translation #### Formal Transition Models. ### Elementary Data Types #### Properties of Types and Objects #### Scalar and Composite Data Types. ### Programming in C #### Tokens #### Identifiers #### Data Types #### Sequence Control #### Subprogram Control #### Arrays #### Structures #### Union #### String #### Pointers #### Functions #### File Handling #### Command Line Argumaents #### Preprocessors. ### Object Oriented Programming #### Class #### Object #### Instantiation #### Inheritance #### Encapsulation #### Abstract Class #### Polymorphism. ### Programming in C++ #### Tokens #### Identifiers #### Variables and Constants #### Data types #### Operators #### Control statements #### Functions Parameter Passing #### Virtual Functions #### Class and Objects #### Constructors and Destructors #### Overloading #### Inheritance #### Templates #### Exception and Event Handling #### Streams and Files #### Multifile Programs. ### Web Programming #### HTML #### DHTML #### XML #### Scripting #### Java #### Servlets #### Applets. ### Computer Graphics #### Video-Display Devices #### Raster-Scan and Random-Scan Systems #### Graphics Monitors #### Input Devices #### Points and Lines #### Line Drawing Algorithms #### Mid-Point Circle and Ellipse Algorithms #### Scan Line Polygon Fill Algorithm #### Boundary-Fill and Flood- Fill. ### 2-D Geometrical Transforms and Viewing #### Translation #### Scaling #### Rotation #### Reflection and Shear Transformations #### Matrix Representations and Homogeneous Coordinates #### Composite Transforms #### Transformations Between Coordinate Systems #### Viewing Pipeline #### Viewing Coordinate Reference Frame #### Window to View-Port Coordinate Transformation #### Viewing Functions #### Line and Polygon Clipping Algorithms. 3-D Object Representation #### Geometric Transformations and Viewing Polygon Surfaces #### Quadric Surfaces #### Spline Representation #### Bezier and B-Spline Curves #### Bezier and B-Spline Surfaces #### Illumination Models #### Polygon Rendering Methods #### Viewing Pipeline and Coordinates #### General Projection Transforms and Cipping.
• Unit - 4 Database Management Systems ### Database System Concepts and Architecture #### Data Models #### Schemas #### and Instances #### Three-Schema Architecture and Data Independence #### Database Languages and Interfaces #### Centralized and Client/Server Architectures for DBMS. ### Data Modeling #### Entity-Relationship Diagram #### Relational Model - Constraints #### Languages #### Design #### and Programming #### Relational Database Schemas #### Update Operations and Dealing with Constraint Violations #### Relational Algebra and 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 Injection. ### Normalization for Relational Databases #### Functional Dependencies and Normalization #### Algorithms for Query Processing and Optimization #### Transaction Processing #### Concurrency Control Techniques #### Database Recovery Techniques #### Object and Object-Relational Databases #### Database Security and Authorization. ### Enhanced Data Models #### Temporal Database Concepts #### Multimedia Databases #### Deductive Databases #### 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 #### Classification #### 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.