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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Orientation Bachelor of Early Childhood Education – Part-Time (ECE-MAJ)
Singapore University of Social Sciences (SUSS) is Singapore's newest autonomous university, offering a range of undergraduate and postgraduate programs focused on social sciences, business, arts, behavioral sciences, science, technology, law, and lifelong learning. With a student population of over
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Updating ERC Panel Structure for 2024 Calls: Rationale and Main Changes
The European Research Council will revise its panel structure for the 2024 calls to enhance coherence, focus on frontier research, and appreciate interdisciplinarity. The main principles reflect the overarching evaluation policy of the ERC, ensuring a forward-looking approach that evolves with the c
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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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Importance of Social Sciences in Modern Society
Social sciences play a crucial role in addressing societal issues and understanding human behavior within different contexts. Despite the focus on STEM fields, social sciences are essential in areas like social work, justice systems, and business. This educational content highlights the functions an
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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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Welcome Scholars!
University of Georgia offers a vibrant academic environment with 30,000 undergraduate students from 67 different countries. The Franklin College of Arts & Sciences provides a comprehensive liberal arts education with 80+ degree programs and opportunities for hands-on learning. Programs in Physical &
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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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Life Sciences Degree Options and Curriculum at University of Glasgow
Explore the diverse range of Life Sciences degree choices available at the University of Glasgow, including Animal Biology, Biomolecular Sciences, Human Life Sciences, and Infection & Immunology. Learn about the flexible curriculum structure, career prospects, and research-based work placements offe
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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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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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Deanery of Clinical Sciences Funding Challenge 2018 Launch Event
The Deanery of Clinical Sciences is offering a small grant opportunity for early career researchers within the clinical sciences field. The fund aims to support researchers' current studies and research projects with a maximum grant of £2,500. Applications are open to postgraduates and postdocs, an
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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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Complexity of Pricing and Auctions in Economic Sciences
Explore the research work by Noam Nisan from Hebrew University on the complexity of pricing and auctions in economic sciences. The content covers various topics such as optimization, ad auctions, spectrum auctions, cloud computing, and strategies for maximizing revenue in selling independent items.
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Celebrating Basic Sciences in 2022 for Sustainable Development
The proposal suggests declaring 2022 as the International Year of Basic Sciences for Sustainable Development, aiming to highlight the crucial role of curiosity-driven basic sciences in societal, environmental, and economic progress. Recognizing the significant contributions of basic sciences to vari
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Understanding the ACT Reading Test Content
The ACT Reading Test comprises 40 questions to be answered in 35 minutes, covering four categories: Prose Fiction, Humanities, Social Sciences, and Natural Sciences. Each category has a specific percentage of questions. The test evaluates your ability to comprehend various passages, including prose
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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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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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Computer Sciences Summer Camp Orientation Information
This orientation information provides details about the upcoming Computer Sciences Summer Camp organized by Dr. Phil Chan, with camp assistants Daniel Campos and Jesse Torres. The schedule includes arrival time, lunch details, dismissal, and a special Oscars event to showcase student projects. Instr
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Understanding Human Sciences: Integrating Disciplines for Coherent Insight
This book explores the integration of human sciences, aiming to create a coherent understanding of the key phenomena studied across humanities and social sciences. It advocates for a unified approach that embraces the complexity of relationships and causal links within this system, offering construc
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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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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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Exploring The Relationship Between Natural and Social Sciences Through Anticipation
Explore the distinct characteristics that define the natural and social sciences, delving into how anticipation serves as a deep driver in the social sciences. Uncover the fundamental principles of human behavior, the role of consciousness and subjective reality in social science, and the influence
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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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Understanding the National Science Foundation's Social and Economic Sciences Programs
The National Science Foundation (NSF) supports basic research through its discipline-based structure, incorporating mechanisms like Research Experiences for Undergraduates and Minority Postdoctoral Research Fellowships. The Directorate for Social, Behavioral, and Economic Sciences houses programs su
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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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