UNIT V – PROCESSING YOUR DATA WITH MAPREDUCE (6 hours) Getting t
UNIT V – PROCESSING YOUR DATA WITH MapReduce (6 hours) Getting to know MapReduce – MapReduce Execution Pipeline – Runtime Coordination and Task Management – MapReduce Application – Hadoop Word Count Implementation.
ANSHU RATHOUR
DATA SCIENCE AND BIG DATA ANALYTICS, Syllabus and study plan
UNIT I – INTRODUCTION TO DATA SCIENCE (6 hours) Introduction of Data Science – Basic Data Analytics using R – R Graphical User Interfaces – Data Import and Export – Attribute and Data Types – Descriptive Statistics – Exploratory Data Analysis – Visualization Before Analysis – Dirty Data – Visualizing a Single Variable – Examining Multiple Variables – Data Exploration Versus Presentation.
UNIT IV – HADOOP DISTRIBUTED FILE SYSTEM ARCHITECTURE (6 hours)
UNIT IV – HADOOP DISTRIBUTED FILE SYSTEM ARCHITECTURE (6 hours) HDFS Architecture – HDFS Concepts – Blocks – NameNode – Secondary NameNode – DataNode – HDFS Federation – Basic File System Operations – Data Flow – Anatomy of File Read – Anatomy of File Write.
UNIT III-BIG DATA FROM DIFFERENT PERSPECTIVES (6 hours)
UNIT III-BIG DATA FROM DIFFERENT PERSPECTIVES (6 hours) Big data from business Perspective: Introduction of big data-Characteristics of big data-Data in the warehouse and data in Hadoop- Importance of Big data- Big data Use cases: Patterns for Big data deployment. Big data from Technology Perspective: History of Hadoop-Components of Hadoop-Application Development in Hadoop-Getting your data in Hadoop-other Hadoop Component.
UNIT II - CONGESTION AND TRAFFIC MANAGEMENT (9 hours)
UNIT II - CONGESTION AND TRAFFIC MANAGEMENT (9 hours) Congestion control in data networks and internets-link level flow and error control- TCP traffic -congestion control in ATM networks.- Interior routing protocols.
UNIT IV Arrays Program Design And Development
Arrays: Single Dimension, Multi-dimension, Dynamic Arrays - Character arrays and strings - String handling functions - Structures and Unions; Defining a Structure, Declaring. Structure Objects, Array of Structures, Nested Structures - Functions and Structures.
UNIT I - INTRODUCTION TO GENETIC ALGORITHM & MACHINE LEARNING
Robustness of Traditional Optimization and Search methods – Goals of optimization-GA versus Traditional methods – Simple GA; Machine learning- explanation-machine learning Vs artificial intelligence-supervised and unsupervised machine learning-examples of machine learning
15IT102 PROGRAM DESIGN AND DEVELOPMENT & LAB
UNIT II Structure of C program, constants, variables, Data types - Operators; Evaluation of Expressions; Precedence of Operators and associativity - Mathematical Functions and Managing I/O operations - Decision making and branching structures; IF statement and its variants, Switch statement ;break statement - Decision making and Looping structures ; For loop, While statement, do while statement; Continue statement
15CS202 DIGITAL SYSTEM DESIGN
UNIT 4 Synchronous Sequential Circuits Flip-flops- SR, D, JK, T - Analysis of Synchronous Sequential Circuit - State Reduction and Assignment - Design of Synchronous Sequential Circuit: Sequence Detector for D, JK, T flip-flops - BCD Counter, Registers: Shift Registers, Analysis of Asynchronous Sequential Circuit: Transition Table, Flow Table
15CS202 DIGITAL SYSTEM DESIGN
UNIT 3 Design of Combinational Logic Circuits Introduction to Combinational Circuits, Analysis and Design Procedure - Binary Adder, Subtractor, Carry Look Ahead Generator, Decimal Adder, Binary Multiplier - Decoder, Encoder, Priority Encoder, Digital Multiplexer, Magnitude Comparator
UNIT IV: GoF DESIGN PATTERNS
Object Design What are Patterns? Applying GoF Design Patterns Design Persistence Framework
UNIT IV: Cluster Analysis
What is Cluster Analysis Types of Data in Cluster Analysis Categorization of Clustering Methods Hierarchical Methods