MTH783P Time Series Analysis for Business Spring 2020

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MTH783P Time Series Analysis for Business Spring 2020 Assessed Coursework Silvia Liverani The dataset for this assessment is a modi ed version of the Air Quality Data Set from the UCI Machine Learning Repository. This dataset contains the responses of a gas multi- sensor device deployed on the eld in an Italian city. The dataset contains […]

Assignment 6

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Assignment 6 Due: April 23th 11:59 pm Instruction: Please submit the homework in the Canvas. Late homework submission will NOT be accepted. Unless there are extraordinary circumstances. Try to use some programming tools to do your homework, it is NOT sufficient to simply turn in the code and any results it produces. The code should […]

FINAL ASSESSMENT

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If you need help, please chat with us by the chat box! FINAL ASSESSMENT Problem 1 Consider an economy with the following data:

ENGG1811 Lab 08: File handling, numpy

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ENGG1811 Lab 08: File handling, numpy Objectives After completing this lab, students should be able to: Read files and extract data from them Use numpy broadcasting Selecting elements in a numpy array using the colon notation, the double colon notation and Boolean indexing Use numpy to do data analysis

ENGG1811 Lab 09: Simulation and its applications

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ENGG1811 Lab 09: Simulation and its applications Objectives After completing this lab, students should be able to Write Python scripts, functions and for-loop Understand and use the following Python numpy package features: array, array indexing, max, min, where Gain a better understanding of simulation and how it can be used for design and decision making

ENGG1811 Assignment 2: Using images to detect surface cracks in concrete

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ENGG1811 Assignment 2: Using images to detect surface cracks in concrete Due date: 5pm, Friday 24 April (week 10). Late submissions will be penalised at the rate of 10% per day. The penalty applies to the maximum available mark. Submissions will generally not be accepted after 5pm, Monday 27 April, 2020. Version: v1.03 on 3 April 2020.