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, including state preparation, gates, and benchmarking. The experimental setup and results are discussed.

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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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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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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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Q-Methodology is a research approach focusing on subjective viewpoints. This article discusses the history, goals, and steps involved in a Q-methodology study using Stata programs. It covers the development of a concourse, creation of a Q-sample, Q-sorting activities, and analysis and interpretation

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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 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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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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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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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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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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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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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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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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Recap the final rule on equity in IDEA, focusing on standard methodology, remedies, important dates, and addressing questions. Discuss the methodology requirements, including data collection on disproportionality and disciplinary actions. Explore the standard methodology components, like risk ratios

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Designing IoT systems can be complex due to the interactions between various components like devices, network resources, web services, analytics, applications, and servers. This article presents a generic design methodology for IoT systems that is independent of specific products or services, leadin

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Designing IoT systems can be complex, but with a generic methodology like the one proposed by Dr. Snehlata Barde, designing, testing, and maintaining IoT systems becomes more efficient. The methodology focuses on purpose, requirements, process specification, domain model specification, information m

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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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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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The study at the LabRisco in University of São Paulo, Brazil focuses on developing and applying a Level 2 Probabilistic Safety Assessment methodology for a small nuclear plant design evaluation. The work entails identification of severe accident scenarios, analysis of nuclear systems, and construct

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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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Explore the ALCB Lending Index Presentation held on 01.02.2018, including methodology, results, and discussions on lending for economic growth. Discover the index development process, methodology, and factors impacting banks' ability and desire to lend, as well as borrowers' ability and desire to bo

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Presentation outlining a data test measurement system for mobile networks, focusing on methodology, hardware components, measurement profiles, configuration, and analysis guidelines. The case study of Ghana's Ashanti Region is discussed, highlighting the test methodology and configuration specificat

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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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Lean Six Sigma methodology offers a strategic approach to optimize business processes, reduce costs, enhance quality, and improve customer satisfaction. This efficient methodology focuses on eliminating waste and defects to drive revenue growth and profitability for organizations. With a background

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This proposal outlines a comprehensive Cost-Benefit Analysis (CBA) methodology in line with Article 156(11) of the Commission Regulation (EU) 2017/1485. The methodology is designed to address the requirements for Frequency Containment Reserve (FCR) and Limited Energy Reservoirs (LER) within the regu

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This document discusses the design and analysis of SPC.CS coil, focusing on maximizing magnetic flux, survival under fatigue conditions, and materials used for different field layers. It covers requirements, assumptions, and the methodology for uniform current density solenoid design. The study aims

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This document delves into the impact of changes to the Default Uplift Methodology in ERCOT, focusing on the removal of CRR Auction activity and the multiplication of CRRs owned. It explores scenarios with varying multipliers at different levels, revealing potential implications for QSEs, CRRAHs, and

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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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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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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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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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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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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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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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The current LTE-CA MSD test point methodology in LTE releases results in specifying redundant test points. Adopting the NR Way of Working for LTE-CA in Release-17 could simplify the MSD tables, reduce complexity, and cut conformance test time/cost. The proposal aims to prevent further expansion of L

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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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Algorithm analysis is a methodology used to predict the computational resources an algorithm requires, focusing on computational time rather than memory. It involves assessing the efficiency of different algorithms in solving a single problem. The analysis covers functions like Constant, Logarithm,

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This study delves into developing a robust research framework and methodology in the fields of science, technology, and humanities. It covers literature review, research gap identification, formulation of research questions and objectives, theoretical framework description, and research methodology

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