Chapter 1: Introduction Fall 2021 Cp 633 Slide #1-* Secure computing – cps 633 Fall 2020 Instructor : Dr. Cp 633 Fall 2021 Cp 633 Slide #1-* It is easy … It is easy to run a secure computer system … you merely have to disconnect all dial-up connections, permit only direct-wired terminals, put the […]
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ETX2250/ETF5922: Data Visualization and Analytics Hierarchical clustering Lecturer: Department of Econometrics and Business Statistics Week 7 What is cluster analysis? Cluster: collection of data objects Grouping similar objects in a cluster No pre-dened classes means we are doing unsupervised classication For analysis of data Cluster analysis – grouping a set of data objects
ETX2250/ETF5922: Data Visualization and Analytics Market Basket Analysis Lecturer: Department of Econometrics and Business Statistics Week 9 Market basket analysis Also known as: Association analysis Anity analysis When would we use market basket analysis? Supermarket would like to increase sales by : Placing products in such a way that customers see items they
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MULT20015 – Elements of Quantum Computing Lecture 18 Subject outline Lecture topics (by week) 1 – Introduction to quantum computing and maths basics 2 – Single qubit representations and logic operations 3 – Two qubit states and logic gates 4 – Multi-qubit states and quantum arithmetic 5 – Basic quantum algorithms 6 – Period finding,
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8jJUrTR5xXP3Vw MATH 239 – Assignment 1 MATH 239 – Assignment 1 Due Thursday September 23 at 11am Eastern time via Crowdmark. (Question 1) For any integer n ≥ 1 let An be the set of all ordered pairs of subsets of {1, . . . , n}: An = {(S1, S2) : S1, S2 ⊆
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COSC2123: Algorithms & Analysis – Dynamic Programming COSC2123: Algorithms & Analysis Dynamic Programming Hoang MIT University Email : sonhoang. .au Lecture 8 (RMIT University) Dynamic Programming Lecture 8 1 / 100 Overview Levitin – The design and analysis of algorithms This week we will be covering the material from Chapter 8. Learning outcomes: • Understand
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Deep Learning – COSC2779 – Modelling Sequential (Time Series) Data Deep Learning – COSC2779 Modelling Sequential (Time Series) Data Dr. Ruwan Tennakoon Sep 6, 2021 Reference: Chapter 10: Ian Goodfellow et. al., “Deep Learning”, MIT Press, 2016. Lecture 7 (Part 1) Deep Learning – COSC2779 Sep 6, 2021 1 / 39 MAIA – AI for
Deep Learning – COSC2779 – Modelling Sequential (Time Series) Data Deep Learning – COSC2779 Modelling Sequential (Time Series) Data Dr. Ruwan Tennakoon Sep 6, 2021 Reference: Chapter 10: Ian Goodfellow et. al., “Deep Learning”, MIT Press, 2016. Lecture 7 (Part 1) Deep Learning – COSC2779 Sep 6, 2021 1 / 39 MAIA – AI for
Microsoft PowerPoint – CSE101 1 Algorithms.pptx O. Braun 1Algorithms and Optimization Problems Algorithms O. Braun 2Algorithms and Optimization Problems Algorithmic Framework An algorithm is a method for solving a problem (on a computer). 1. What problem are we solving? problem specification 2. How do we solve the problem? algorithm description 3. Why do these steps solve the problem? proof of correctness 4. When do we get an answer? time analysis Problem solving = “The Spirit of Computing”, driven by real‐world necessity: • Logistics • Scheduling: production planning, resource allocation, … • Bin Packing: storage on container ships, airline logistics, … • Shortest paths: warehouses, factory hall, distribution center, roads, … • DNA Sequencing • Evolutionary Trees (edit distance, Steiner trees…) • Finding homologues, evolutionary significance (string‐matching) • Conformational Analysis •