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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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Drug Payment Methodologies

Delve into pharmacy claims payment methods, payment benchmarks, and impacts on practice. Explore various drug pricing benchmarks like WAC and AMP.

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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 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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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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Bessemer Benchmarks for Business Growth

Leverage Bessemer Benchmarks to plot your way to the next milestone in your business. Explore average benchmarks by ARR scale, reference data for public playbook companies, and a template for benchmarking your own business metrics. Use this valuable information for pitching, board meetings, funding

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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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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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Scientific Machine Learning Benchmarks: Evaluating ML Ecosystems

The Scientific Machine Learning Benchmarks aim to assess machine learning solutions for scientific challenges across various domains like particle physics, material sciences, and life sciences. The process involves comparing products based on large experimental datasets, including baselines and mach

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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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Load Following by Nuclear Power Plants in Relation to Variable Renewable Energies' Development

The study explores the requirements of load following by nuclear power plants in the context of variable renewable energies' growth. It discusses the impact of renewable energy development on nuclear economic models and the need for dispatchable capacities. Benchmarks are set to test robustness of d

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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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Enhancing Education with Gatsby Benchmarks

The Gatsby Benchmarks provide a structured framework for quality careers provision in education, emphasizing the importance of linking curriculum learning to careers, encounters with employers, and personal guidance. By embedding careers into the curriculum, educators can inspire and motivate studen

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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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Benchmarks of Fairness in Health Sector Reform: Overview and Applications

Overview of benchmarks for fairness in health sector reform, tracing historical development, adapted benchmarks, connections to social justice, structure of benchmarks, and comparison with the WHO framework. Covers key aspects such as intersectoral public health, financial barriers, equity in access

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IAEA CIELO Evaluations for Uranium Isotopes & Criticality Benchmarks Report

This report discusses the IAEA CIELO evaluations for uranium isotopes, focusing on the impact of Standards_2016 on criticality predictions, adjustments in nuclear model calculations using the Empire code, and incorporation of experimental data to enhance performance in integral benchmarks.

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Levelling Techniques for Urban Sanitation Improvement Projects

Explore the essential aspects of levelling, including setting benchmarks, calculating important levels for a DTF, reading cross-sectional drawings, and using optical levels. Understand the significance of benchmarks, backward calculations from discharge points, and individual level definitions for e

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Introduction to Computational Number Theory in Cryptography

Practical private-key cryptography can be done without advanced math, but understanding computational number theory is essential for public-key encryption. This field focuses on the computational difficulty of problems, analyzing algorithms' running times, classifying problems as easy or hard based

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Enhancing Business Performance Through Big Data Benchmarking

Explore the DataBench Toolbox, a holistic benchmarking approach for big data that aims to improve business performance by identifying and integrating relevant benchmarks, filling industrial gaps, and homogenizing metrics through a user-friendly web interface. The toolbox integrates various micro-ben

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Update on ILD Meeting in Oshu City 2014 and Future Goals

ILD meeting held in Oshu City in 2014 focused on re-inventing the ILD detector and organization to align with the physics agenda of the ILC. The event highlighted the need for optimization, cost considerations, and better connections to physics benchmarks. Goals included re-optimization efforts, re-

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Understanding the Essence of Computer Science and Computational Thinking

Delve into the fundamentals of Computer Science and Computational Thinking through chapters discussing the nature of science, predictions in physics, and the distinction between Computer Science and Computer Information Systems. Explore the relationships between Math, Physics, and Computer Science i

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Advancing Auditory Enhancement: Integrating Spleeter with Advanced Remixing Techniques in The Cadenza Challenge 2023

Our project for The Cadenza Challenge 2023 focused on improving audio for headphone users with hearing loss by integrating Spleeter's deep learning capabilities. We utilized N-ALR prescriptions, Butterworth bandpass filters, and Dynamic Range Compression to enhance audio quality. By leveraging advan

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North American Computational Linguistics Olympiad: A Competition for High School Students

The North American Computational Linguistics Olympiad (NACLO) is a competition for high school students interested in linguistics, languages, and computation. It consists of an Open Round in January and an Invitational Round in March, with no prerequisites needed. Participants tackle easy problems i

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Mississippi Center for Supercomputing Research (MCSR) Overview

The Mississippi Center for Supercomputing Research (MCSR) supports computational research in various fields like Chemistry, Bioinformatics, Physics, Engineering, and Computer Science for Mississippi IHLs. They provide training to optimize computational resources, offer classes for computational trai

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Exploring Computational Theories of Brain Function

In this series of images and text snippets, the discussion revolves around the emerging field of computational theories of brain function. Various aspects such as symbolic memories, the relationship between the brain and computation, the emergence of the mind from the brain, and computational thinki

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Computational Earth Science Course Overview

Explore the world of Computational Earth Science with Bill Menke as the instructor and Emily Glazer as the teaching assistant. The course aims to help you become proficient in applying Python-based computational methods to understand dynamic Earth Science phenomena. Through modeling, you will gain i

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Iowa Program-Wide Positive Behavior Support: 3-Year Data Analysis

This report details the Iowa Program-Wide Positive Behavior Support initiative's 3-year data analysis, including cohorts, benchmarks of quality, data measures, and Teaching Pyramid Observation Tool scores. The analysis spans from 2006 to 2010 and includes information on specific cohorts, quality ben

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Networking with VPP in OpenStack: Goals and Performance Benchmarks

OpenStack's Networking with VPP project aims to integrate a fast software dataplane, VPP, into OpenStack for enhanced communication speed in VMs and VNFs. The project focuses on scalability, simplicity, and availability through asynchronous, REST-based communications and efficient management. Perfor

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Exploring Computational Play in Early Childhood Education: DLI 2023 Workshop

The workshop at the 8th EAI International Conference on Design, Learning & Innovation (DLI 2023) in Aalborg aims to delve into the application of computational play with mathematics in early childhood education. Through live sessions and discussions, opportunities and challenges in utilizing computa

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