FIT5003 Software Security Web Security I 1 FWITe5b0S0e3cSuoriftywOavrerSveiecuwrity • Web applications: Very popular, but difficult to secure • Highly connected: opportunities for hackers! • Lots of technologies: more opportunities! • This module (this week and next): • Overview of Web Technologies • Server side, browser side • Web Application threat model & Same Origin Policy […]
INFO20003 Database Systems Dr Renata Borovica-Gajic Lecture 10 Storage and Indexing INFO20003 Database Systems © University of Melbourne Copyright By PowCoder代写 加微信 powcoder What this subject is all about. Remember this? Organisational Description and Problem Area • An investment bank wants to have a database to provide it with the ability to store information about
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CSE 3241 Spring 2022 Project – CP03 Your team is almost done with the logical design of the DB for Dr. ’s business. Now you need verify your design, make few last improvements, and process to its implementation using SQL. After completing tasks described here, you should be able to present a working DB populated
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EECS 485 Lecture 23 Blockchain John Kloosterman Copyright By PowCoder代写 加微信 powcoder Learning Objectives • Describe what a distributed ledger is and times it has an advantage over centralized databases • Explain how mining builds a blockchain that implements a distributed ledger • Discuss applications of blockchain technology Distributed Ledger What is Blockchain/Bitcoin? • Blockchain
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Machine Learning and Data Mining in Business Lecture 11: Convolutional Neural Networks Discipline of Business Analytics Copyright By PowCoder代写 加微信 powcoder Lecture 11: Convolutional Neural Networks Learning objectives • Convolutional neural networks. • Residual blocks. • Techniques for image tasks. Lecture 11: Convolutional Neural Networks 1. Computer vision 2. Convolutional layers 3. Padding and stride
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COMP3308/COMP3608 Artificial Intelligence Week 12 Tutorial exercises Unsupervised Learning (Clustering) Exercise 1. K-means clustering (Homework) Given is the one-dimensional dataset: {5, 7, 10, 12}. Run the k-means clustering algorithm for 1 epoch to cluster this dataset into 2 clusters. Assume that the initial seeds (cluster centers) are c1=3 and c2=13 and that the distance measure
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Monash University FIT9132 SAMPLE EXAM PAPER ● IMPORTANT NOTE: This Sample Exam serves to provide a general overview of the general structure of the exam paper only. ● To protect the integrity of the exam: NO ACTUAL EXAM QUESTIONS are included; and the COMPOSITION OF THE SUB QUESTIONS are SUBJECT TO CHANGE. ● Students are
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Unit: Dynamic Websites Assignment title: Air Pollution Credit Version Spring 2020 – Winter 2020 Important notes • Please refer to the Assignment Presentation Requirements for advice on how to set out your assignment. These can be found on the NCC Education website. Click on ‘Policies & Advice’ on the main menu and then click on
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Unit: Agile Development Assignment title: Application Development 20 Credit Version Spring 2020 – Winter 2020 • 單元： • 敏捷發展 • • 作業標題： • 應用開發 • • 20學分版本 • 2020年春季– 2020年冬季 Introduction Find My Builder (FMB) is an organisation in your area that matches up local tradespeople (builders, electricians, plumbers etc.) with clients who need work
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Unit: Database Design and Development Assignment 20 Credit Version Spring 2020 – Winter 2020 單元： 數據庫設計與開發 分配 20學分版本 • 2020年春季– 2020年冬季 Introduction This assignment requires you to demonstrate knowledge and skills you have acquired throughout this module by producing a database and producing a report that addresses the tasks given below. In order to complete
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