Course

Module 1

Module 1: (7.5 hours)

1. Introduction to Artificial Intelligence and deep learning.

Module 2

Module 2: (7.5 hours)

1. Applications of Artificial Intelligence in various functional areas of business – marketing, finance, Human Resources and Operations.

Module 3

Module 3: (7.5 hours)

1. Deep learning. Neural networks – Tensors and tensor operations.
2. How neural networks learn, via back propagation and gradient descent.
3. Different branches of machine learning, evaluating machine learning models.
4. Data preprocessing for neural networks, Feature engineering.
5. Tackling over fitting, workflow for approaching machine-learning problems.

Module 4

Module 4: (7.5 hours)

1. Ethical implications of Artificial Intelligence.

Course Description

This course introduces the students to Artificial Intelligence and its applications in business. In the initial sessions, the concept of Artificial Intelligence and its applications in various functional areas of business are discussed through a carefully curated set of journal articles. Later practical sessions are held with R as the software platform. The students will work in small teams to prepare and present a term paper on the applications of Artificial Intelligence in an area of their interest.

Course Outcomes& Learning levels

1. Demonstrate an understanding of Artificial intelligence and deep learning (L2).
2. Perform a review of the latest literature related to Artificial Intelligence in one chosen domain (L5).
3. Evaluate, process, and analyze data by applying appropriate Artificial Intelligence techniques(L5).
4. Analyze the ethical implications of Artificial Intelligence (L4).

Evaluation Pattern

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

No textbook is prescribed. Journal articles and some reading materials will beshared with the students.