Robotic Process Automation

Paper Code: 
MCA 423A
Credits: 
02
Periods/week: 
02
Max. Marks: 
100.00
Objective: 

Course Objectives:

This course enables the students to

  1. Evolution and future of Robotic Process Automation. You will also learn how Robotic Process Automation works and its components.
  2. Learn about the basic concepts of User Interface via UiPath.
  3. Understand the main components of a process namely variables, arguments and activities.
  4. Perform activities related to UI Automation, System activities and various User Events.
  5. Use and apply the REFramework template in UiPath for creating business processes and understand the various components involved in it.

 

Course Outcomes(COs):

Learning outcomes

(at course level)

Learning and teaching strategies

Assessment

Strategies

CO243. Recognize the fundamentals of Robotic Process Automation.

 

CO244. Understand the developmental methodology of RPA and how businesses are getting transformed by its implementation.

 

CO245. Explore UiPath platform and its components for development of User Interfaces for development of Robotic Processes and develop applications using RPA Tools.

 

CO246. Develop solutions through the interpretation of data using modern computational tools

 

CO247. Explore Robotic Enterprise Framework for development of applications.

Approach in teaching:

Interactive Lectures, Discussion, Presentations, Video Tutorials, Demonstration.

 

Learning activities for the students:

Self-learning Assignments, Effective questions, Simulation

Assignments

Written test in classroom

Classroom Activity

Continuous Assessment

Semester End Examination

 

12.00
Unit I: 

Robotic Process Automation: Introduction, Emergence of Robotic Process Automation (RPA), Evolution of RPA, need and benefits, advantages and disadvantages, usage of RPA, Differentiating RPA from Automation, myths about RPA, Types of RPA - Attended, Unattended, Hybrid

12.00
Unit II: 

 

Lifecycle of RPA, RPA Tools, Categories and Types of RPA tools, Criterion and Parameters for selecting Right Tool for RPA, RPA development methodology and key considerations, Industrial Applications of RPA like Banking, Insurance, Healthcare, Transportation and Food, Working of RPA, Self-learning Bots

Possible Activities of Self-Learning Bots

12.00
Unit III: 

Overview of UiPath: Introduction to UiPath platform and its components Installation details of UiPath’s Community, Types of Templates, User Interface Domains in Activities,  Workflow Files in UiPath, UI Automation Activities, System Activities,  Variables Arguments Imports Panel User Events

12.00
Unit IV: 

Programming, Debugging and Logging: App Integration, Recording Scraping, Selector Workflow Activities, Programming, Debugging, Error Handling, Logging, Extensions Project Organization

12.00
Unit V: 

Robotic Enterprise Framework (REFramework): Introduction, Purpose of REFramework, Introduction to State Machine Layout,  States of the State Machine, Workflows of the Framework, Exception Handling & Logging Rules of Developing a Process using REFramework

ESSENTIAL READINGS: 
  • Alok Mani Tripathi, “Learning Robotic Process Automation: Create Software Robots and Automate Business”, Packt Publishing; 1st Edition, March 2018
  •  Vaibhav Jain “Crisper Learning: for UiPath” Paperback – May 1, 2018, Independently published, ISBN-10: 1980976597
REFERENCES: 
  • Kelly Wibbenmeyer, “ The Simple Implementation Guide to Robotic Process Automation (RPA): How to Best Implement RPA in an Organization”, iUniverse Publication, March 2018
Academic Year: 
2020-21
  • Printer-friendly version