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M.Tech. (Computational and Data Science)

Get all the information you need about the M.Tech. (Computational and Data Science) course structure, duration, core courses, soft core courses, dissertation, and electives.

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Universal Two-Qubit Computational Register for Trapped Ion Quantum Processors

Universal two-qubit computational register for trapped ion quantum processors, including state preparation, gates, and benchmarking. The experimental setup and results are discussed.

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Computational Physics (Lecture 18)

The basic structure of MPICH and its features in Computational Physics Lecture 18. Understand how MPI functions are used and linked with a static library provided by the software package. Explore how P4 offers functionality and supports parallel computer systems. Discover the concept of clusters in

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Cryptographic Reductions and Learning in Computational Complexity

This lecture explores the connection between computational complexity and cryptography, focusing on topics like pseudorandom functions, public-key cryptography, and learning from Gaussians. It delves into the implications of cryptographic reductions, lower bounds for learning MLPs, and the existence

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Understanding Signed Integers and Addition in Computational Systems

Dive into the world of signed integers, extensions, truncations, and addition in computer science with a focus on how negative values are represented and operated on. Explore concepts like sign-magnitude and two's complement representations, uncovering the intricacies of handling integers in computa

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OBPMark and OBPMark-ML: Computational Benchmarks for Space Applications

OBPMark and OBPMark-ML are computational benchmarks developed by ESA and BSC/UPC for on-board data processing and machine learning in space applications. These benchmarks aim to standardize performance comparison across different processing devices, identify key parameters, and provide recommendatio

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Computational thinking as 21st Century skill

Computational thinking is a critical skill for the digital age, involving problem-solving techniques that enable computers to process information effectively. It precedes programming and requires breaking down complex problems into manageable steps. Educators emphasize computational thinking exercis

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Computational Geometry.

Voronoi diagrams, a key concept in computational geometry, involve partitioning a space based on points sites. They have diverse applications like nearest neighbor queries and facility location. The diagrams consist of Voronoi cells, edges, and vertices, forming a connected graph. Properties include

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Master's Program in Computational Drug Discovery and Development - Fall 2024 Curriculum

This Master's program offers a comprehensive curriculum focusing on Artificial Intelligence, Computational Drug Discovery, and Development. With a blend of cutting-edge technologies and practical applications, students delve into techniques, AI/ML, big data mining, modeling, and more. Through intens

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Understanding Breeding Soundness and Straw Identification in Cattle

Learn about the importance of evaluating breeding soundness in bulls, maintaining insemination records, and identifying straws for successful reproduction in cattle. Dr. Vikas Sachan provides valuable insights on bull identity, semen station codes, production dates, and color codes for different bre

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Understanding Computational Linguistics and Natural Language Processing

Explore the fascinating fields of Computational Linguistics and Natural Language Processing (NLP), delving into their development, applications, and significance. Learn about the study of human languages in computational models, the importance of corpora in linguistic research, and the various types

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Understanding the Importance of Pattern Recognition in Computational Thinking

Pattern recognition is a vital skill in computational thinking, enabling the identification of similarities and differences between concepts and objects. By recognizing patterns, individuals can efficiently solve complex problems, create shortcuts, and avoid duplications in problem-solving processes

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Engaging Paper-Based Problem Solving for Computational Thinking Skills

Implementing paper-based problem-solving activities using puzzles, riddles, and pattern recognition can effectively introduce computational thinking without the need for complex technology or terminology. Through real-life scenarios like transporting a fox, chicken, and corn across a river or encodi

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Insights on Computational Complexity Threshold Results

Exploring the challenges in proving major lower bounds for computational complexity, focusing on the Hardness Magnification and Minimum Circuit Size Problem (MCSP). Discusses the difficulties in proving weak and strong LBs, highlighting recent theorems and barriers that impact progress in the field.

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Financial Analysis and Appraisal of Projects: Understanding Costs and Benefits

Financial analysis in project management involves evaluating the feasibility and viability of a project through assessing its costs and benefits. This analysis helps in determining the financial soundness of a project and guides decision-making regarding investment profitability and sensitivity to m

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Recent Advances in Computational Doppler Radar Data Modeling

Explore the latest developments in computational modeling of Doppler radar data, focusing on error estimation, dual vs. single pol radars comparison, uncertainty quantification, and methodology for analyzing Doppler radar predictions against gauge measurements. The study involves data from multiple

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Essentials of Muslim Marriage and Nikah: A Comprehensive Overview

During pre-Islamic times, women were marginalized but Islam elevated their status through Nikah, a civil contract for marriage. The essentials of Nikah include competency of parties, free consent, formalities, and absence of prohibitions. Factors such as age of puberty, soundness of mind, and religi

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Understanding High Dynamic Range Sensors in Computational Photography

Dive into the world of High Dynamic Range (HDR) sensors in computational photography with topics covering sensor architectures, CMOS sensing techniques, dynamic range evaluation, and basic concepts related to image sensors and pixel integrators. Explore the importance of dynamic range in capturing a

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Computational Photography: Texture Synthesis and Hole-Filling Overview

Delve into the world of texture synthesis and hole-filling in computational photography, exploring the challenges, goals, and techniques involved in creating new textures and filling in image gaps. Learn about building probability distributions, modeling textures, and the intricacies of synthesizing

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Image-Based Lighting in Computational Photography

Explore the techniques and concepts of image-based lighting in computational photography through slides covering topics such as rendering objects in images, using environment maps and light probes, mirrored spheres, and dealing with light sources like the sun. Learn about capturing and utilizing lig

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Technical Soundness of EU-SADC EPA Rules of Origin

The implementation and technical soundness of Rules of Origin under the EU-SADC EPA are crucial for the utilization of trade preferences. Compliance with rules of origin is essential for receiving tariff preferences, but drafting these rules accurately is challenging. Recommendations include specify

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Understanding Curl-Free and Div-Free Radial Basis Functions in Physical Situations

This content explores the applications of Curl-Free and Div-Free Radial Basis Functions in solving partial differential equations for fields, the theoretical soundness of using RBFs, and examples illustrating divergence-free interpolation. It also delves into matrix-valued RBF formulations, converge

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Evaluation of National Drug Control Master Plan 2013-2017

An assessment conducted on the National Drug Control Master Plan and Action Plan for the years 2013-2017 highlighted the structural soundness of the strategy, focusing on goals, objectives, and action plans. The study also emphasized the importance of enhancing key strategic goals to better address

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Probabilistic Public Key Encryption with Equality Test Overview

An exploration of Probabilistic Public Key Encryption with Equality Test (PKE-ET), discussing its concept, applications, security levels, and comparisons with other encryption schemes such as PKE with Keyword Search and Deterministic PKE. The PKE-ET allows for perfect consistency and soundness in en

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Challenges of Practical Enforcement in Infringement Management

The study delves into the complexities of practical enforcement in infringement management, highlighting the challenges faced by researchers and co-authors Fabio Massacci, Nataliia Bielova, and Andrea Micheletti. Through a series of exercises and theoretical explorations, the team uncovers potential

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Understanding Computational Complexity Through Statistical Physics

In the age of vast data growth, tackling complex computational problems is crucial. Statistical physics can provide insights into handling the new challenges arising from the exponential increase in data. As we delve into understanding the complexity of computational tasks, it becomes evident that e

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Introduction to Priority Search Trees in Computational Geometry

This lecture outlines the structure and query process of Priority Search Trees (PST) in computational geometry. It covers heap-based point queries, range trees for windowing queries, handling query ranges in 1D and 2D spaces, and using heaps to efficiently handle query ranges. The content discusses

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Static Analysis in Flight-Critical Software

Explore the challenges and advancements in static analysis for flight-critical systems, focusing on the importance of soundness and assurance through tools like IKOS, MathWorks PolySpace, and ASTREE. Learn about the limitations of testing in detecting critical errors and how static analysis can offe

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Challenges in Constant-Round Public-Coin Zero-Knowledge Proofs

The paper discusses the implausibility of constant-round public-coin zero-knowledge proofs, exploring the limitations and complexities in achieving them. It delves into the fundamental problem of whether such proofs exist, the challenges in soundness error reduction, and the difficulties in parallel

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Advancing Computational Modeling for National Security and Climate Missions

Irina Tezaur leads the Quantitative Modeling & Analysis Department, focusing on computational modeling and simulation of complex multi-scale, multi-physics problems. Her work benefits DOE nuclear weapons, national security, and climate missions. By employing innovative techniques like model order re

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Practical Data Race Detection for Production Use

ProRace is a tool designed for detecting data races in multithreaded programs, highlighting the severe problems caused by race conditions like power outages and financial losses. It addresses the limitations of existing race detectors by focusing on soundness, complete detection, and lower overhead.

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Managing Financial Risks in a Changing Climate Environment

Assessing climate-related and environmental risks is vital for ensuring the safety and soundness of financial institutions. These risks include physical risk drivers like extreme weather events and transition risk drivers related to policy measures and technological changes. The complexity and uncer

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Unsoundness in Static Analysis: Challenges and Utility

The discussion explores the prevalence of unsoundness in static analysis for realistic programming languages, highlighting common language features and their impact on soundness. It questions the necessity of achieving absolute soundness and presents scenarios where unsound analyses are tolerated in

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Efficient Interactive Proof Systems Overview

This document discusses various aspects of efficient interactive proof systems, including doubly efficient IPs, simple doubly efficient IPs, and the Sum-Check Protocol. It explains concepts such as completeness, soundness, and strategies for verifiers and provers. The content covers examples like NP

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Exploring Architecture and Challenges of Proof Assistants

Explore the architecture of proof assistants, discussing the use of tactics, formal proofs, and the difficulty in utilizing these tools. Discover the contribution of a new architecture for proof assistants, addressing extensibility and error checking, with a focus on soundness guarantees. Delve into

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Understanding Knowledge-Based Agents: Inference, Soundness, and Completeness

Inference, soundness, and completeness are crucial concepts in knowledge-based agents. First-order logic allows for expressive statements and has sound and complete inference procedures. Soundness ensures derived sentences are true, while completeness guarantees all entailed sentences are derived. A

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Understanding Computational Biology: Proteins, DNA, RNA, Genetics, and Evolution

Computational Biology combines computational methods with molecular biology to solve biological problems. Explore topics like proteins, DNA, RNA, and genetics, learning about amino acids, nucleotides, and the genetic code. Understand the evolutionary processes of mutation and natural selection.

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Overview of Reserve Bank of India Functions and Responsibilities

The Reserve Bank of India serves as the central bank in India, responsible for functions such as issuing bank notes, acting as banker to the government, and serving as the banker's bank. It manages currency chests, handles government finances, and ensures the stability and soundness of the banking s

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Challenges and Solutions in Eurozone Monetary Policymaking

Addressing the issues within the Eurozone monetary policy framework, the article explores concerns related to fiscal soundness, output gaps, and the role of countries like Germany. It emphasizes the need for tailored approaches, fiscal discipline, and potential reforms to achieve stability and growt

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Constant Round Interactive Proofs for Delegating Computations

The research explores techniques for securely delegating computations to the cloud, addressing concerns of correctness and privacy through interactive proofs and efficient verification methods. It compares classical and doubly efficient interactive proofs, emphasizing the importance of computational

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