Monsoon 2022 Exhibition

History of Economic Thought

by Professor Amol Agrawal

The root of all economic ideas, and at the outset of any foundational economic inquiry, lies the concept of individual motives. To analyze the behaviour of an individual, a firm, or society when faced with an economic choice, we first need to understand the objectives that drive their decisions

Analyzing Annual Corporate Reports

by Professor Vibha Tripathi

This enable course will take the students through an intellectual tour of an annual report of the companies. It is designed and meant to develop skills to translate and read between the lines of the published financial statements and Notes to Accounts. It enhances the skill to sense the bigger picture behind the reporting of a company.

Internet of Things

by Professor Anurag Lakhlani

The course “Internet of Things” focuses on connecting sensors, actuators, and other electronic devices to the internet using two platforms – Arduino Platform and Raspberry Pi platform. The data and information sent to the internet can be collected/stored, analyzed, and utilized for decision-making and display.

General Relativity and Cosmology

by Professor Pankaj S. Joshi

The course will cover the Einstein theory of gravity, or General Relativity, and the basics of black hole physics and cosmology. The course will include an introduction to tensors and differential geometry, curved spacetime, Einstein equations, the Schwarzschild solution for a star and black hole, gravitational collapse, gravitational waves and topics in cosmology.

Design, Material and Manufacturing

by Professor Shuja Ahmed

The course teaches the concepts of mechanical design and explains how the choices of materials and manufacturing methods are intrinsic to the design concepts. Through this course, the students are able to comprehend the failures of mechanical components due to various types of loading. They understand to select materials for the components, design the components, learn standardization in terms of dimensions of components, and manufacture and assemble the designed components to make products.

Lung Image Datset Classification

by Professor Srikrishnan Divakaran

For the following thesis the mathematical concept of fractal dimensions is applied to generate a feature vector of a particular image and high-level classification is applied to these feature vectors to improve the accuracy with respect to the traditional classification techniques. The graphs generated from these classification techniques can be served for the GNN models.

Mathematical Statistics

by Professor Kaushik Jana

The mathematical statistics course centers around case studies taken from different areas. Each case study has five parts: introduction, data, background, investigation, and theory. Finding the answer to the questions raised in the case study motivates the study of related statistical theory. The mathematical treatment offers in-depth learning of statistical methods and prepares students to independently use standard statistical models and methods in specific contexts.

Integrated Mechanical Laboratory II

by Professor Sunil Kale

Theory learned in core and engineering foundation courses will be revisited in a practical context and in the context of engineered systems. In a hands-on manner, students will learn techniques for measuring stress, strain, force, torque, displacement, velocity and acceleration, etc.; strength, fatigue, vibration and fracture analysis of components or systems; motion analysis; associated sensors and their engineering aspects, such as, calibration, limitations and practical manifestations. These aspects will be integrated into performing a set of experiments. Students will design and conduct open-ended experiments, observe and interpret the outcome, make a discovery, and write a professional report.

Sensors, Instruments, and Experiment

by Professor Ashok Ranade

Introduction to construction and characteristics of sensors. Experiments involving the application of sensors for physical quantities like temperature, pressure, force, torque, strain, velocity, acceleration, linear and angular speed and displacement, volumetric and mass flow rates, illumination, and sound level etc.

Introduction to calibration of sensors and data acquisition systems.

Digital Experience Design

by Bhumi Shah

Digital practices is altering the way we archive, interpret and communicate knowledge resources to diverse audiences. This course blends digital practice, technical skills, and narrative- building techniques to train students in archiving, interpretation, and designing digital experiences. Students will engage with technologies primarily used for digital preservation like Virtual Reality, Augmented Reality, Photogrammetry, LiDAR, Geographical Information Systems (GIS), Holograms, and other tools for knowledge communication through the digital medium.

The course covers basic data structures and techniques for the design and analysis of data structures with a rich set of applications in research and industry. The course provides a thorough introduction to the analysis of the complexity of algorithms. It shows how to use this analysis for algorithms using basic data structures like Lists, Stacks, Queues, Binary Search Trees, Heap, and Balanced Search Trees for storing data, sorting, and searching problems. We will also introduce tools and techniques for the computational analysis of these basic data structures. It covers also some more advanced problems graph and tree algorithms.

Computer Vision

by Professor Mehul S Raval

The course is meant to cover recent advances in the domain of computer vision. The course will gradually meander from low level computer vision to high level concepts. It will introduce tradition CV topics like filters, local image features and texture descriptors, then move to mid-level vision covering visual matching through Hough transform, optical flow. It ends up in high-level vision tasks like segmentation, tracking, classification, detecting objects and person recognition.

Through this course on intelligence and government secrecy, undergraduate students will ask themselves what secrecy is in the first place to face possible future challenges pertinent to intelligence and government secrecy. Furthermore, since intelligence and govern secrecy studies pose many ethical and moral questions -- for example, ``Is secrecy itself necessary in intelligence?'' ``If so, how much secrecy do we need? And at what cost?'' -- this course challenges undergraduate students to face these very fundamental questions. Although these are tough questions to answer, they are worthwhile to look into. Additionally, technologies and intelligence tools change over time, so another question is, what legitimizes various types of intelligence collection activities like the eavesdropping of the National Security Agency? How far does the government's responsibility go and should go? These questions will prepare students for actual government jobs which social and political science major students, and any students, are mostly pursuing.

With the dawn of the 21st century, human kind is facing disparate epochal challenges. Global politics affects our lives more than ever before. How countries interact with each other -- in military conflict, in trade, in diplomacy, and in other forms of cooperation and conflict -- affect all of us. Increasingly, important is how international actors other than countries' governments (terrorist groups, corporations, nonprofit organizations, and etc.) interact with each other and with governments. If we want to understand what is happening to us now, and what may happen in the future, we cannot afford to ignore the world outside our borders. In the light of the global and international political phenomena, this course will introduce students to the study of international relations, a set of concepts, the major competing theoretical approaches, and knowledge developed in the effort to understand the complexity of world politics. Additionally, students will be introduced to key concepts, crucial questions, and major theories of international relations. Simultaneously, illustrative examples of pivotal political, economic, and security events are explored. This class attempts to draw out the traditions and modern realities of international relations that shape our contemporary interests, interactions, and institutions. A comprehensive understanding of the critical international issues we face and our own possible alternative solutions to their conceivable consequences are the central focus of this course.

Is globalization a new phenomenon? If so, what is new about globalization? We live in a highly increasing interdependent world where people across the globe become interconnected in many ways. The ability to better address the problems or events that occur in our daily life and on the other side of the world will be likely to lead us to create a better polity, making a meaningful and positive impact on our local community and beyond. This course aims to locate the complexity and contentiousness of globalization. Globalization is a task and a public concern for all of us. This course will assist students in better understanding and addressing the challenges and opportunities of globalization.

Artificial intelligence (AI) is bound to impact human life in a big way. This is a first course on AI that teaches the fundamentals of AI, how to represent knowledge and how to build autonomous agents that can make efficient decisions in fully informed, uncertain and adversarial environments. The students understand various ways of designing intelligent systems. They gain experience with implementation of search, planning and decision making strategies. The syllabus is State spaces, Search, Games and adversarial search, Inference, Bayesian networks, Markov chains, Hidden Markov models, Markov decision processes and Machine learning.

The course will introduce basic concepts of distributed and parallel computing, service-oriented architecture, virtualization, service and delivery models of cloud computing. The course will include internals of virtual machines, development and deployment of cloud services. Challenges and research issues like resource provisioning, Virtual Machine scheduling, load balancing, VM migration, privacy and security, energy efficiency in clouds etc. will be introduced. Students will work on group projects to address development or deployment related aspects of cloud services/applications.

Environment and environmental pollution-

Air Pollution Control: Air pollution system, Air pollutants, Need of APC, Air pollution by chemical process industry, Standards as per APC Acts and Rules, APC equipment- particulate and gaseous emissions. Water Pollution Control: Constituents in wastewater, Need of WPC, Water pollution by chemical process industry, Standards as per WPC Acts and Rules, WP treatment processes and equipment Solids Waste Treatment and Disposal: Characteristics and sources of industrial wastes, Need of hazardous waste treatment and disposal, Industrial hazardous waste-related Rules, Industrial hazardous waste treatment, and disposal methods. Pollution Prevention: Waste audit, Reuse, recycle, recover, Cleaner production in the chemical process industry, Wealth from waste, Good Housekeeping, Maintenance.