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

0 views • 22 slides

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

7 views • 4 slides

Social Learning Theory, introduced by Bandura, emphasizes learning through observation and modeling. It explores how individuals acquire behavioral dispositions, trial-and-error experiences, and the impact of stimuli in the environment. The theory focuses on the importance of attention, retention, a

1 views • 17 slides

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

1 views • 7 slides

Development of mathematical theories such as model theory, proof theory, set theory, recursion theory, and computational complexity is discussed, starting from historical perspectives with Dedekind and Peano to Godel's theorems, recursion theory's golden age in the 1930s, and advancements in proof t

1 views • 29 slides

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

1 views • 33 slides

Psychological theories of criminality delve into the association between intelligence, personality, learning, and criminal behavior. Major theories include Psychodynamic Theory by Freud, Behavioral Theory by Bandura, and Cognitive Theory by Kohlberg. These theories explore how unconscious mental pro

1 views • 20 slides

The theory of firms is explored through the Neoclassical and Modern perspectives. Neoclassical theory focuses on profit maximization, while Modern theory delves into managerial, principal-agent, and transaction cost theories. The discussion covers criticisms of Neoclassical theory and the essential

1 views • 79 slides

Overview of theories of causation categorized into psychological, social psychological, and sociological perspectives. Psychological theories focus on instinctive, biological, and psychological qualities of abusers, including Attachment Theory, Psychodynamic Theory, Social Learning Theory, and Situa

0 views • 15 slides

At the turn of the century, the discovery of the photoelectric effect challenged the wave theory of light, leading to the development of the quantum theory by Max Planck and Albert Einstein. This new theory introduced the concept of discrete energy units known as quanta, bridging the gap between wav

1 views • 62 slides

Social Cognitive Theory, developed by Albert Bandura, emphasizes learning through observation and modeling behaviors. The theory explores how individuals acquire new behaviors, thoughts, and attitudes by observing others. Bandura's famous Bobo doll experiment showcased how children imitated aggressi

6 views • 17 slides

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

0 views • 17 slides

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

0 views • 24 slides

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

1 views • 18 slides

Ladner's Theorem is a significant result in computational complexity theory that deals with NP-intermediate problems, which are languages in NP neither in P nor NP-complete. The theorem states that if P is not equal to NP, then there must exist an NP-intermediate language. The proof involves a delic

0 views • 48 slides

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

0 views • 6 slides

Decision problems play a crucial role in computational complexity theory, especially in the context of P and NP classes. These problems involve questions with yes or no answers, where the input describes specific instances. By focusing on polynomial-time algorithms, we explore the distinction betwee

0 views • 32 slides

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.

0 views • 21 slides

Computational Learning Theory explores inductive learning algorithms that generate hypotheses from training sets, emphasizing the uncertainty of generalization. The theory introduces probabilities to measure correctness and certainty, addressing challenges in learning hidden concepts. Through exampl

0 views • 43 slides

Explore the key concepts in the Theory of Computation for Winter 2022, including decision problems, reductions, undecidability, and the relationship between HALTTM and ATM. Learn about decidable, recognizable, and undecidable problems as well as the importance of reductions in proving undecidability

0 views • 27 slides

This course overview covers concepts in automata theory and theory of computation, including formal language classes, grammars, recognizers, theorems in automata theory, decidability, and intractability of computational problems. The Chomsky hierarchy, interplay between computing components, modern-

0 views • 42 slides

Explore various theories of interest in economics, including the Classical Theory, Liquidity Preference Theory by Keynes, Productivity Theory, Abstinence Theory, Time-Preference Theory, Fisher's Time Preference Theory, and the Loanable Fund Theory. These theories offer different perspectives on the

0 views • 6 slides

Explore the strategic use of evolution and biological adaptation in computational game theory for treatment planning, drug design, and synthetic biology. Learn how opponent exploitation and game theory inform decision-making to address challenges in therapeutic development and technological goals.

0 views • 13 slides

Density Functional Theory (DFT) is a powerful computational tool used in various scientific fields to understand complex chemical and physical phenomena. This theory allows for detailed analysis and prediction of material properties, reactions, and structures at the atomic level. Through the example

0 views • 55 slides

This study delves into the integrated computational model of the Time-Based Resource-Sharing Theory of Working Memory. It focuses on the active mechanism of Time-Based Resource-Sharing, where attention is directed to a single item for maintenance or processing. The study also explores Cognitive Load

0 views • 40 slides

The lecture delves into the concept of Oracle Turing Machines and their role in proving computational complexity results, such as the limitations of diagonalization in demonstrating P vs. NP. Oracle Turing Machines are defined as Turing Machines with access to a special query tape and states for ora

0 views • 59 slides

Explore the concepts of decidability, encoding, and computational problems in CSE 105 Theory of Computation class. Learn about decision problems, encodings for Turing Machines, framing problems as languages of strings, and examples of computational problems and their encodings. Gain insights into th

0 views • 26 slides

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

0 views • 27 slides

Today's learning goals in the Theory of Computation class include understanding high-level algorithm descriptions, proving the existence of undecidable languages using counting arguments and diagonalization, and encoding inputs for Turing Machines. Computational problems can be reframed as languages

0 views • 28 slides

This course delves into the fundamentals of Theory of Automata, exploring topics such as regular languages, finite state models, grammars, Turing machines, and more. Instructor Mr. Muhammad Arif guides students through essential concepts like finite automata, pumping lemma, decidability, and Chomsky

0 views • 95 slides

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

0 views • 29 slides

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

0 views • 19 slides

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

0 views • 4 slides

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

0 views • 23 slides

Experiential Learning Theory, developed by David Kolb and influenced by John Dewey, emphasizes the role of experience in learning. It consists of four modes - Concrete Experience, Reflective Observation, Abstract Conceptualization, and Active Experimentation - forming a continuous learning cycle. Th

1 views • 10 slides

Delve into the theory of computation with Dr. Abdulhussein M. Abdullah in the 2nd semester of 2017-2018. Explore the fundamental questions regarding what can be computed, computational problems, and the representation of information. Gain insights into computational models and computability, complex

0 views • 27 slides

This work delves into the intricate world of complexity measures for Boolean functions, exploring concepts such as certificate complexity, decision tree depth, sensitivity, block sensitivity, PRAM complexity, and more. It sheds light on the relationships among different complexity measures and provi

0 views • 36 slides

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

0 views • 53 slides

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

0 views • 34 slides

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

0 views • 7 slides