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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Industrial toxicology is a vital field that studies the effects of various agents on organism health through mechanisms of action, toxicokinetics, and more. It explores toxic chemical absorption, distribution, metabolism, and elimination, as well as toxic effects on major organ systems. Learn about

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The study of toxicology involves understanding dose-response relationships, lethal concentrations, tolerance limits, toxicity curves, and factors influencing toxicity. Dose, response, acute toxicity, chronic toxicity, LD50, and ED50 are key concepts in toxicology that help assess the effects of chem

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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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Toxicology is the study of adverse effects of chemicals on living organisms. It assesses probability of occurrence, quantitatively and qualitatively analyzing toxic effects. Toxicants are agents causing harmful responses in biological systems. Environmental toxicology focuses on pollutants' effects

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Postmortem Redistribution (PMR) refers to the variation in drug concentrations obtained from postmortem samples, which may not accurately reflect the levels at the time of death due to redistribution mechanisms. In forensic toxicology, assessing drug severity relies on blood concentrations, with cha

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Animal venom, particularly snake venom, contains various toxins that can have detrimental effects on the body. Different types of snake venom target specific systems, such as neurotoxic venom affecting neuromuscular junctions and hemotoxic venom impacting the cardiovascular system. Understanding the

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Toxicology is a crucial field that assesses the effects of various toxic substances on human health and the environment. From heavy metals to solvents, radiation, pesticides, and animal toxins, this discipline plays a vital role in identifying and managing risks associated with exposure to harmful c

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The Washington State Toxicology Lab, under the Washington State Patrol, has recent staffing updates, including new hires and return of staff on maternity leave. Updates on validated methods and toxicologist certifications are provided, showcasing the lab's commitment to quality and accuracy. A new t

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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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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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Detailed overview of the Veterinary Toxicology syllabus including general toxicology, toxicity caused by metals and non-metals, poisonous plants, agrochemical toxicity, fungal and bacterial toxins, venomous bites and stings, and more. The syllabus covers a wide range of topics related to toxicology

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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 the essential aspects of pharmacology and toxicology covered in Investigator Brochures, including nonclinical information, safety pharmacology, general toxicology, genetic toxicology, and more. Learn about the significance of pharmacology in predicting intended and unintended effects, consid

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Understanding toxicology is crucial to dealing with various types of intoxications, including accidental, foodborne, inhalation, industrial, and intentional exposures. Symptoms of toxic exposure can vary widely, affecting different body systems such as the cardiovascular, respiratory, and nervous sy

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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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Analytical toxicology involves the observation, identification, and measurement of foreign compounds in biological and other samples, such as urine, blood, stomach contents, nails, hair, and DNA. Various techniques are used to isolate and identify drugs and poisons present in these samples. This fie

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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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This module introduces the concept of chemical toxicity and the discipline of toxicology in relation to food chemical risk assessment. It touches upon historical aspects, such as the case of Socrates' death by hemlock, the contributions of Mathieu Joseph Bonaventure Orfila in forensic toxicology, an

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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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Toxicology is the study of the adverse effects of chemicals on living organisms, involving xenobiotics and poisonous substances. Toxicologists examine the nature of these effects, testing in lab animals for measures of toxicity such as mortality, teratogenicity, carcinogenicity, and mutagenicity. Ke

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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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Explore the challenges and opportunities in predicting in vivo toxicity beyond traditional models. Learn about confidence in toxicity prediction, recently discontinued drugs due to safety concerns, and the importance of recognizing toxicological signals in preclinical stages. Discover how computatio

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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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Food and nutritional toxicology delve into the science of poisons, toxins, and toxicants found in food. It covers substances harmful to consumers, including natural toxicants, contaminants, and additives. Nutritional toxicology focuses on the overlap between nutrition and toxicology, exploring the i

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