li>Introduction to Machine Learning
• Neural Networks and Genetic Algorithms
• Bayesian and Computational Learning
• Probability Learning and Sample Complexity in Machine Learning
• Advanced Learning
• Analytical Learning
• Appendix – A Two Mark Questions and Answers
• Appendix – B Past University Question Paper
• Appendix – C Solved University Question Paper
• Appendix – D Lab Exercise – Machine Learning Labs

• Foundations of Big Data Technology
• Introduction to R Programming
• Control Structures and Vectors
• List and Data Frames
• Data Handling with Factors and Tables in R
• Mathematical and Statistical Functions
• Data Visualization in R
• Descriptive Statistics in R
• Statistical Analysis and Hypothesis Testing
• Predictive Analytics and Modeling
• Object-Oriented Programming (OOP) in R
• Data Analysis and Computational Techniques Using R
• Appendix –A Lab Exercise – Thiruvalluvar University
• Appendix –B Lab Exercise – University of Madras

• Overview of .NET Framework
• Introduction to ASP.Net
• Advanced Controls and File Handling
• ADO.NET
• Advanced Data Handling
• Appendix – A : Programming in ASP.NET Practical
• Appendix – B : Model Question Papers

SPSS

• Getting Started With SPSS
• Entering Data, Creating Tables, Saving Input Data and Output, Editing and Copying SPSS Output
• Descriptive Statistics: Measures of Central Tendency
• Descriptive Statistics: Measures of Dispersion, Distribution, Cronbach’s Alpha Test
• Charts and Graphs, Editing and Copying SPSS Output
• Parametric Tests in SPSS
• Non – Parametric Tests in SPSS

Tallyprime

• Introduction to Accounting Software Tally Prime
• Accounting Reports
• Introduction to Inventory Masters
• Introduction to GST

• Introduction
• Programming Languages
• Data
• Structured Programming
• Data
• Programming Languages
• Introduction
• Selection Structure
• Data and Arrays
• Data Flow Diagram
• Introduction to Computer Problem Solving
• Fundamental Algorithms
• Factoring Methods
• Array Techniques
• Text Processing and Pattern Searching

• Computational Problem Solving: An Introduction
• Tokens
• Operators
• Data Types
• Control Structure
• Strings in Python
• List
• Tuples
• Functions
• Functional Programming
• Objects and Their Uses
• Modular Design
• Text files
• Dictionary
• Object Oriented Programming using Python
• Encapsulation
• Python’s Inheritance
• Python Packages

• Introduction
• Basics of Python Programming
• Control Statements / Structures
• Functions
• Python Strings and Modules
• Lists and Tuples
• Dictionary and Sets
• Python File Handling and Exception Handling
• Object and their Use
• Object Oriented Programming using Python

• Introduction to Industry 4.0
• Artificial Intelligence
• Big Data
• Internet of Things

• Introduction to Data Science
• Data Science Process
• Data Collection and Data Pre-Processing
• Machine Learning Algorithm
• Exploratory Data Analysis
• Introduction to Hadoop
• Model Development
• Case Study: Prediction of Disease

• Introductory Concepts
• Word Processing
• Spreadsheets
• Data Base Concepts

• Operating System Basics
• Process Management
• Operating System Scheduling
• Deadlocks
• Memory Management
• Swapping, Paging and Segmentation
• Virtual Memory
• File Management
• Appendix-A: Operating System Lab
• Appendix-B: Operating System Questions and Answers
• Appendix-C : Model Question Paper

• Understanding Cloud Computing
• Cloud Storage
• Developing Cloud Services
• Cloud Computing for Everyone
• Programming Model
• Security in the Cloud
• Review Questions
• Appendix

• Introduction to Computers
• Computer Peripherals
• Central Processing Unit
• Programming Languages
• Flowchart Techniques
• An overview of Operating System
• Windows 7 Operating System
• Microsoft Word 2007
• Microsoft Excel 2007
• Microsoft PowerPoint 2007
• Outlook Express
• Internet Explorer
• Microsoft Access 2007
• Selection of Computer System
• Data Processing
• Teleshopping and Teleworking
• E-Mail
• Internet
• E-Commerce
• Multimedia and its Applications
• Appendix I: List of Shortcut Keys in MS Word
• Appendix II: Glossary
• Appendix III: List of Abbreviations
• Appendix IV: ICT Multiple Choice Solved Questions.

• ASP.NET Basics
• ASP.NET Environment
• Form
• ADO.NET
• Database Accessing
• XML
• Setting Up a Development Server
• Open Source Data Base: MySQL
• Appendix A

• Introduction to Internet of Things
• Domain Specific IoT - I
• Domain Specific IoT – II
• Domain Specific IoT – III
• IoT and MsM
• M2M Area Network Physical Layers
• IoT Security Overview
• Dynamic Debugging and Time Delay
• Appendix A

• Principles of Object Oriented Programming
• Introduction to C++
• Managing Console I/O Operations/ Input and Output in C++
• Basics of C++
• Expressions and Control Structures
• Pointers and Arrays
• Functions
• Class and Objects
• Constructors and Destructor
• Operator Overloading
• Inheritance
• Polymorphism
• File Management/Working with Files in C++
• Templates
• Exception Handling
• Standard Template Library
• Appendix A
• Appendix B
• Appendix C
• Appendix D