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City, University of London (abbreviated CUL) is a public research university in London, United Kingdom and a member institution of the federal University of London. It was founded in 1894 as the Northampton Institute, and became a university when The City University was created by royal charter in 1966.The Inns of Court School of Law, which merged with City in 2001, was established in 1852, making it the University's oldest constituent part.City joined the federal University of London on 1 Septe... read more
Answer: Task 1 To draw a random sample of size 82 each from the population, random numbers were generated from between 0 and 1 on the adjacent column. The excel function RAND() was used in cell A1 and then highlighted the range B1:B1000 and entered Ctrl-D thereby placing the formula =RAND() in every cell in the range B1:B1000. Then column C was created using the formula =INDEX(A$1:A$1000,RANK(B1,B$1:B$1000)) and then copied down to cell C1000...Read More >>
Answer: MYSQL Installation The following section presents the important steps that has to be considered for installing MySQL(Dev.mysql.com, 2018). Necessary Requirements for the System The basic requirements for MySQL installation that has to be considered are discussed in this section. Any operating system will have to consider the following general requirements(Dev.mysql.com, 2018): A remote or local MySQL server connection is desig...Read More >>
Task: Module outline and aimsThis compulsory module for the BSc Sociology and Criminology provides you with an overview of the key issues and current debates in criminology and criminal justice, as well as providing a firm foundation for more specialist criminology modules in the 3rd year (level 6). It also complements the other 2nd year (level 5) criminology module and the compulsory and optional sociology modules 1. To introduce you to key is...Read More >>
Question: This coursework builds on the material covered in the tutorials and lecture. On completing this coursework, you should be able to implement and understand classical tabular Reinforcement Learning (week 1-5) as well as Deep Reinforcement Learning (week 6-10) algorithms. This coursework builds on the material covered in the tutorial and lecture slides. You will make use of the different concepts learned in the module: How to define ...Read More >>
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