College Syllabus

Search This Blog

PLACEMENT GUIDES

Get link
Facebook
Twitter
Pinterest
Email
Other Apps

Take Placement Training Online: Click Here

Get link
Facebook
Twitter
Pinterest
Email
Other Apps

Comments

asca

sq

ihg

Apply Now

CS3591 COMPUTER NETWORKS Anna University Syllabus R2021

CS3591 COMPUTER NETWORKS Anna University Syllabus R2021 CS3591 COMPUTER NETWORKS L T P C 3024 COURSE OBJECTIVES: To understand the concept of layering in networks. To know the functions of protocols of each layer of TCP/IP protocol suite. To visualize the end-to-end flow of information. To learn the functions of network layer and the various routing protocols To familiarize the functions and protocols of the Transport layer UNIT I INTRODUCTION AND APPLICATION LAYER 10 Data Communication - Networks – Network Types – Protocol Layering – TCP/IP Protocol suite – OSI Model – Introduction to Sockets - Application Layer protocols: HTTP – FTP – Email protocols (SMTP - POP3 - IMAP - MIME) – DNS – SNMP UNIT II TRANSPORT LAYER 9 Introduction - Transport-Layer Protocols: UDP – TCP: Connection Management – Flow control - Congestion Control - Congestion avoidance (DECbit, RED) – SCTP – Quality of Service UNIT III NETWORK LAYER 7 Switching : Packet Sw

AD3301 DATA EXPLORATION AND VISUALIZATION Anna University Syllabus R2021

AD3301 DATA EXPLORATION AND VISUALIZATION Anna University Syllabus R2021 AD3301 DATA EXPLORATION AND VISUALIZATION LTPC 3024 OBJECTIVES: To outline an overview of exploratory data analysis. To implement data visualization using Matplotlib. To perform univariate data exploration and analysis. To apply bivariate data exploration and analysis. To use Data exploration and visualization techniques for multivariate and time series data. UNIT I EXPLORATORY DATA ANALYSIS 9 EDA fundamentals – Understanding data science – Significance of EDA – Making sense of data – Comparing EDA with classical and Bayesian analysis – Software tools for EDA - Visual Aids for EDA- Data transformation techniques-merging database, reshaping and pivoting, Transformation techniques - Grouping Datasets - data aggregation – Pivot tables and cross-tabulations. UNIT II VISUALIZING USING MATPLOTLIB 9 Importing Matplotlib – Simple line plots – Simple scatter plots – visualiz

AD3351 DESIGN AND ANALYSIS OF ALGORITHMS Anna University Syllabus R2021

AD3351 DESIGN AND ANALYSIS OF ALGORITHMS Anna University Syllabus R2021 AD3351 DESIGN AND ANALYSIS OF ALGORITHMS LTPC3024 COURSE OBJECTIVES: To critically analyze the efficiency of alternative algorithmic solutions for the same problem To illustrate brute force and divide and conquer design techniques. To explain dynamic programming and greedy techniques for solving various problems. To apply iterative improvement technique to solve optimization problems To examine the limitations of algorithmic power and handling it in different problems. UNIT I INTRODUCTION 8 Notion of an Algorithm – Fundamentals of Algorithmic Problem Solving – Important Problem Types –Fundamentals of the Analysis of Algorithm Efficiency – Analysis Framework - Asymptotic Notations and their properties – Empirical analysis - Mathematical analysis of Recursive and Non-recursive algorithms – Visualization. UNIT II BR

Powered by Blogger

PLACEMENT GUIDES

Take Placement Training Online: Click Here

Comments

Post a Comment