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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Why Choose Leather Bound Journals for Writing
Leather bound journals offer unparalleled elegance and durability, making them the perfect choice for writing enthusiasts. Crafted from premium materials, they exude sophistication while providing a luxurious writing experience. With timeless charm and superior quality, leather journals elevate your
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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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Understanding Morphology: Word Structure and Morphemes
Morphology, a branch of linguistics, focuses on word structure by examining morphemes, which are the smallest meaningful units of language. Morphemes can be free or bound, with bound morphemes modifying the meaning of free morphemes through affixes like prefixes and suffixes. Types of affixes includ
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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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Understanding Real Analysis: Intervals, Bounds, and Problem-solving
Explore the concepts of intervals and bounds in real analysis, including open and closed intervals, semi-closed intervals, least upper bound, and greatest lower bound. Learn how to solve problems based on intervals and bounded sets through detailed explanations and examples.
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Understanding Real Analysis: Intervals, Bounds, and Problem Solving
Explore the world of real analysis through intervals, bounds, and problem-solving techniques. Learn about open intervals, closed intervals, semi-closed intervals, infinite intervals, least upper bound, greatest lower bound, and solve problems based on intervals and bounded sets. Enhance your underst
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Understanding Coagulase Test in Microbiology
Coagulase test is a crucial microbiological technique used to differentiate Staphylococcus aureus, which produces coagulase, from other species like S. epidermis and S. saprophyticus that do not. This test helps in identifying the presence of bound and free forms of coagulase, aiding in the accurate
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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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Understanding Scheduling Algorithms in Operating Systems
Exploring the world of scheduling in operating systems, this content covers various aspects such as introduction to scheduling, process behavior, bursts of CPU usage, CPU-bound and I/O-bound processes, when to schedule processes, and the differences between non-preemptive and preemptive scheduling a
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Computational Thinking, Algorithms & Programming Overview
This unit covers key concepts in computational thinking, including decomposition, abstraction, and algorithmic thinking. Decomposition involves breaking down complex problems, abstraction focuses on identifying essential elements, and algorithmic thinking is about defining clear instructions to solv
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Introducing MatFlow: Open-source Python Tool for Computational Materials Science
MatFlow is an open-source Python code designed for computational materials science, running on HPC systems like CSF at Manchester. Users specify tasks to run in a workflow, with the main output being a workflow HDF5 file. The tool aims to make reproducibility and transparency easier, connect dispara
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Annual Title I Parent Meeting - Bound Brook School District 2022-2023
The Every Student Succeeds Act requires each Title I School to hold an Annual Meeting of Title I parents to inform and involve them in their child's education. Title I is a federal assistance program aimed at improving the quality of education for all children, particularly those from low-income fam
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Efficient Solver Techniques in CFD Simulations
This resource provides insights into the segregated solver approach in computational fluid dynamics (CFD) simulations, specifically focusing on the sweeping direction and its impact on computational efficiency and convergence rates. It discusses the benefits of employing the XY plane for 2D cases to
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Exploring Complexity in Computational Theory
Dive into a world of computational complexity and theory with a focus on topics such as NP, P, PH, PSPACE, NL, L, random vs. deterministic algorithms, and the interplay of time and space complexity. Discover insights on lower bounds, randomness, expanders, noise removal, and the intriguing question
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Exploring Computational Techniques with NLTK for Linguists
Dive into the world of computational techniques for linguists with NLTK in Lecture 24. Learn about list comprehensions, conditional forms, tokenization, part-of-speech tagging, parsing, chunking, concordance, similarity, common contexts, dispersion plots, and more. Discover where NLTK is installed o
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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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Understanding Convex Hulls in Computational Geometry
Convex hulls are a fundamental concept in computational geometry, representing the smallest convex shape that contains a set of points. The process involves defining the convexity of a set, determining the unique convex polygon, and computing the convex hull efficiently using algorithms. This conten
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Understanding Minimum Edit Distance in Computational Biology
Dan Jurafsky explains the concept of minimum edit distance as the minimum number of editing operations such as insertion, deletion, and substitution needed to transform one string into another. Through examples and visual representations, he illustrates how minimum edit distance plays a crucial role
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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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Understanding Nuclear Decays and Reactions in Stellar Astrophysics
Nuclear decays and reactions, driven by weak interactions, are vital in stellar astrophysics. Various processes like bound-state beta-decay impact nucleosynthesis and cosmochronology. Specific processes in stars involve capture reactions, electron capture, and neutrino-nucleus interactions. Stellar
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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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Overcoming the Zero Bound on Interest Rate Policy by Marvin Goodfriend
Exploring the zero bound problem in interest rates, the paper discusses the challenges of negative nominal interest rates, their impact on the economy's stability, and proposed solutions such as carry taxes on money, open market operations, and monetary transfers. Factors affecting real interest rat
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Understand Magnetic Fields and Currents in Solids
Explore the concepts of magnetic fields and currents in solids, including the calculation of magnetic dipole moments, the presence of bound currents in cylinders with uniform magnetization, the distribution of bound currents on different surfaces, and the behavior of magnetic fields in solid cylinde
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Best-Possible Wiretap Coding: Beyond the Csiszr-Krner Bound
Explore the concept of wiretap coding for secure communication in scenarios with eavesdroppers. This content delves into formal definitions, impossibility scenarios, and the quest for achieving secure transmission between parties without compromising data privacy. Learn about encryption schemes, adv
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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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New Extension of the Weil Bound for Character Sums
Tali Kaufman and Shachar Lovett present a new extension of the Weil bound for character sums, providing applications to coding theory. The Weil bound offers insights into the behavior of low-degree polynomials, distinguishing between structured and random-like functions. This extension has implicati
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