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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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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Development Communication explores the stages of creating a plan, implementing strategies, and ownership paradigms in development projects. Emphasis is on participatory approaches, community empowerment, and inverting top-down processes. The concept of Alternative Paradigm emerges to counter the ali

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Delve into the world of research paradigms in qualitative medical research with a focus on the key differences between objective and subjective research, the meaning of research paradigms, components of research paradigms, types of research paradigms, and how paradigms guide the selection of researc

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Exploring the different methodologies, paradigms, and methods used in health research, this content highlights the distinction between qualitative and quantitative designs. It covers research questions, aims, objectives, hypotheses, and various quantitative approaches such as experimental and observ

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Cognitive psychology, a branch of psychology, delves into mental processes like thinking, perceiving, remembering, and learning. This field views individuals as information processors, with paradigms guiding research methodologies. Key approaches include Information Processing, Connectionist, Evolut

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Delve into the realm of machine reading and language understanding with insights from UNED's NLP & IR Group. The discussion covers the significance of understanding language, the role of knowledge in comprehension, testing acquired knowledge, and the evolution towards machine-operable representation

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APL, named after the book "A Programming Language Paradigms," is a functional language with a focus on array manipulation. Developed in the 1960s by Kenneth E. Iverson, it has had a significant impact on the development of spreadsheets and computer math packages. APL operates with chains of monadic

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Explore the latest trends in social work research at the 2016 Joint World Conference on Social Work, Education, and Social Development. Discover topics such as global change, indigenous concerns, and migration issues. Delve into research paradigms, methodologies, and challenges, including the impact

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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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Implementation of national prevention and control programs for non-communicable diseases is crucial for sustainable healthcare systems. Collaborating with multidisciplinary groups and shifting advocacy paradigms towards human rights and social determinants of health are essential. A transformation i

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Recent research highlights advancements in solving sampling problems in convex optimization, exemplified by works by Yin Tat Lee and Santosh Vempala. The complexity of convex problems, such as the Minimum Cost Flow Problem and Submodular Minimization, are being unraveled through innovative formulas

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Research conducted at De Montfort University explores the evolution of carer research paradigms in the UK since 1995, aiming to critique the relationship between research/theory and our understanding of carers. Through multi-stage reviews and analysis, the study delves into key dimensions of carer r

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Memory consistency models define the ordering of writes and reads in computer systems. Coherence ensures write propagation and serialization, while consistency models guide programmers in writing correct programs. Shared-memory and message-passing are two communication paradigms with different appro

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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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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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Explore a collection of historical quotes demonstrating misguided predictions and beliefs, from dismissing the need for computers to doubting the significance of inventions like the telephone and moon landing. Reflect on the impact of self-paradigms and paradigms of others as discussed in the text,

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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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Explore the rules and nuances of using definite articles with prepositions, verb forms, and verb charts in Hebrew. Learn how to identify and read the Qal Qatal and Piel Qatal paradigms, and understand the significance of prepositions with the definite article. Dive into verb charts for Qatal and dec

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Explore the realm of unsupervised learning as discussed in the Maryland Theory Day 2014 event. Overcoming intractability for unsupervised learning, the distinction between supervised and unsupervised learning, main paradigms, NP-hardness obstacles, and examples like the inverse moment problem are co

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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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Hex, a strategic two-player game invented by John Nash and Piet Hein, poses intriguing challenges for mathematicians and computer scientists. This article delves into different paradigms for encoding Hex game rules, exploring the performance of each. From basic observations to advanced approaches li

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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 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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Explore the fundamentals of distributed systems, focusing on remote procedure calls, communication paradigms, and middleware layers. Learn how entities communicate in distributed systems, classification of communication paradigms, and the role of middleware in facilitating communication between appl

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