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10775 results for: ‘java 教学管理系统源码作业提交批改管理系统源码可远程调试运行✅项目合作 二开均可 TG:saolei44✅.mQvwHUogypMIw’

  • Jamie Patrick BA ACIfA

    Learn more about our Senior Supervisor of ULAS, Jamie Patrick.

  • Data Mining and Neural Networks

    Module code: MA7022 This module will provide a comprehensive grounding in the structure of the data mining process and explain the basic notations and operations.

  • Data Mining and Neural Networks

    Module code: MA3022 This module will provide a comprehensive grounding in the structure of the data mining process and explain the basic notations and operations.

  • Introduction to Functional Data Analysis

    Module code: MA7202 This module introduces methods for Functional Data Analysis (FDA) with an emphasis on practical issues and applications. It introduces to students the concept of functional data and the methodologies for analysing such data.

  • Introduction to Functional Data Analysis

    Module code: MA3202 This module introduces methods for Functional Data Analysis (FDA) with an emphasis on practical issues and applications. It introduces to students the concept of functional data and the methodologies for analysing such data.

  • Overview of Data Science Practice

    Module code: MA7441 Data science is the process of extracting reliable insights and conclusions from data.

  • Data Science Research Project

    Module code: MA7443 The data science research project is the cumulation of our MSc programme, where you will work in a group to solve a substantial data science problem in an area of your choice.

  • Excel for Data Science

    Module code: MA7444 Just about everywhere you find data you’ll also find spreadsheets. This module will show you how to decide when Excel is the best tool for a data science task.

  • Health Data Science Project

    Module code: MD7477 The 12-week project gives you the opportunity to carry out an extended and in-depth piece of work on a real problem in health data science.

  • Foundations of Health Data Science

    Module code: MD7475 This module will provide an outline of the workflow of a typical data science project, from the formation of questions to the communication of results.

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