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Course Detail

Course Name Business Application of Digital Technologies (BADT)
Course Code 23BA035E
Program MBA
Credits 3
Course category Elective
Area Information Systems and Analytics

Syllabus

Module 1

Module 1: Introduction to Digital Technologies, disruptive Innovation, Digital Business Models (7.5 hours)

  1. Introduction to Digital Technologies.
  2. Introduction to Digital Business Models.
  3. BM Components and how Digital technologies affect them.
Module 2

Module 2: Introduction to Cloud Computing (7.5 hours)

  1. What are the components of Cloud computing?
  2. Introduction to providers, overview on Cloud computing principles.
  3. Service options of cloud computing and use cases.
  4. Deployment options for Cloud.
  5. What are the factors that need to be considered for governance?
Module 3

Module 3: Big Data Analytics using Machine Learning (7.5 hours)

  1. How does Big data get analyzed to arrive at insights.
  2. How do supervised learning and unsupervised learning techniques work?
  3. How and when to use solutions such as recommendation systems?
  4. What is the importance of “Utility value”, and how we could mine utility values using conjoint analysis?
Module 4

Module 4: IoT and Mobility (7.5 hours)

  1. How does IoT work?
  2. How do we implement Analytics on IoT?
  3. What are the use-cases for IoT and the challenges in using IoT?
  4. How does mobility work?

Course Description  & Course Outcomes

Course Description

The new generation business models are built using digital technologies such as Cloud, AI, IoT, Big Data, Data Analytics and Mobility; In this course, we would focus on these building blocks that are essential for today’s business. The idea is to do an extensive explorative study to understand how these digital technologies work, how these technologies have evolved so far, what are the components of these technologies, what are the benefits, and why it is necessary to understand how these technologies work together in building customer value propositions.

Course Outcomes & Learning levels

After completion of the course the students will be able to:

  1. Analyze digital technologies and digital business models.
  2. Evaluate and assess various options/ providers for digital technologies such as cloud, mobility, IoT and Analytics, and also get an overall idea on the fundamental architecture of those solutions.
  3. Appraise the significance of governance on the usage of digital technologies such as cloud computing, mobility and IoT and how organizations could build value propositions using these technologies (looking into the internal aspects).
  4. Formulate typical use-cases for digital technologies such as Bid Data, IoT, Cloud computing, AI and Analytics, that would help them conceptualize ideal solutions in similar situations (looking into the external/customer – facing aspects).

Evaluation Pattern

# Assessment Component Percentage of Marks
1 Continuous Assessment * 60
2 End –Term Examination 40

* Based on assignments / Tests / Quizzes / Case Studies / Projects / Term paper / Field visit report.

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