課程信息

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第 2 門課程(共 3 門)
可靈活調整截止日期
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中級
完成時間大約為24 小時
英語(English)
字幕:英語(English)

您將學到的內容有

  • Identify the relationship between models and real-world epidemiological data

  • Incorporate treatment or vaccination into an SIR model, accounting for imperfect efficacy, and for different mechanisms of action

  • Perform simple calibrations of an SIR model against time-series data, selecting parameters to maximise the fit of the model to the data

  • Recognise two simple approaches to computer-based model calibration and perform model calibrations under each of these approaches in R.

您將獲得的技能

Mathematical ModelInfectious Diseases
可分享的證書
完成後獲得證書
100% 在線
立即開始,按照自己的計劃學習。
第 2 門課程(共 3 門)
可靈活調整截止日期
根據您的日程表重置截止日期。
中級
完成時間大約為24 小時
英語(English)
字幕:英語(English)

提供方

伦敦帝国学院 徽標

伦敦帝国学院

立即開始攻讀碩士學位

此 課程 隸屬於 伦敦帝国学院 提供的 100% 在線 Global Master of Public Health。如果您被錄取參加全部課程,您的課程將計入您的學位學習進程。

教學大綱 - 您將從這門課程中學到什麼

1

1

完成時間為 10 小時

Modelling Interventions

完成時間為 10 小時
5 個視頻 (總計 16 分鐘), 5 個閱讀材料
5 個視頻
An Insider's View of IDM4分鐘
Modelling Curative Treatment4分鐘
Modelling Vaccination: Leaky Vaccines2分鐘
Modelling Vaccination: Additional Vaccine Effects2分鐘
5 個閱讀材料
Welcome to Infectious Disease Modelling10分鐘
About the Infectious Disease Modelling Team10分鐘
Glossary10分鐘
Modelling Infectious Disease Dynamics35分鐘
Modelling Vaccination: First Steps20分鐘
2

2

完成時間為 3 小時

Confronting Models with Data - Part A

完成時間為 3 小時
4 個視頻 (總計 14 分鐘)
4 個視頻
Relationships Between Models and Data3分鐘
Modelling with Insufficient Data2分鐘
Modelling with Sufficient Data2分鐘
3

3

完成時間為 4 小時

Confronting Models with Data - Part B

完成時間為 4 小時
3 個視頻 (總計 8 分鐘)
3 個視頻
Introduction to Least-Squares Calibration3分鐘
Recap: Least-squares Estimation1分鐘
4

4

完成時間為 6 小時

Confronting models with data – Part C

完成時間為 6 小時
4 個視頻 (總計 9 分鐘), 1 個閱讀材料, 2 個測驗
4 個視頻
Constructing a Likelihood Function1分鐘
To Log or not to Log?2分鐘
Overview of Model Calibration3分鐘
1 個閱讀材料
Modelling Project 20分鐘
2 個練習
Which is the Correct Code Block?5分鐘
Modelling outputs 30分鐘

審閱

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關於 Infectious Disease Modelling 專項課程

Mathematical modelling is increasingly being used to support public health decision-making in the control of infectious diseases. This specialisation aims to introduce some fundamental concepts of mathematical modelling with all modelling conducted in the programming language R - a widely used application today. The specialisation will suit you if you have a basic working knowledge of R, but would also like to learn the necessary basic coding skills to write simple mathematical models in this language. While no advanced mathematical skills are required, you should be familiar with ordinary differential equations, and how to interpret them. You'll receive clear instruction in the basic theory of infectious disease modelling alongside practical, hands-on experience of coding models in the programming language R....
Infectious Disease Modelling

常見問題

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    • The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.

    • The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

  • When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

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  • Yes, Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project. Learn more.

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