Course Objectives:
This course enables the students to
Course Outcomes(COs):
Learning Outcome (at course level)
| Learning and teaching strategies | Assessment Strategies | |
| Approach in teaching: Interactive Lectures, Discussion, Presentations, Video Tutorials, Demonstration.
Learning activities for the students: Self-learning Assignments, Effective questions, Simulation |
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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
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
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
Programming, Debugging and Logging: App Integration, Recording Scraping, Selector Workflow Activities, Programming, Debugging, Error Handling, Logging, Extensions Project Organization
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
·Robotic Process and Cognitive Automation: The Next Phase, Mary C. Lacity and Leslie P. Willcocks, 2020
Suggested Reading:
E-Resources:
Journals: