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18654 results for: ‘黑名单举报查询系统源码 QQ微信黑名单举报举证查询网站源码【XY77】✅项目合作 二开均可 TG:saolei44✅.SLCbsutDxnMUC’

  • Chinese Language (Beginners)

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  • Management Theory and Debate

    Module code: MN2018 This module will introduce you to key theories and debates within the discipline of Management Studies.

  • Computers, Society and Professionalism

    Module code: CO3101 In this module we will look at the Information Society and Information Revolution, and explore the effect that computers and IT have had on employment in general; looking at corporate organisations and individual jobs, analysing and evaluating example...

  • Information Visualisation

    Module code: GY7413 This module focuses on information visualisation as an effective approach to exploring, analysing, and communicating knowledge from data.

  • Earth observations of the atmosphere

    Module code: PA7201 This module will combine an introduction to the atmosphere and atmospheric sensing with practical experience in analysing large and complex atmospheric datasets.

  • Computers, Society and Professionalism

    Module code: CO3101 In this module we will look at the Information Society and Information Revolution, and explore the effect that computers and IT have had on employment in general; looking at corporate organisations and individual jobs, analysing and evaluating example...

  • Information Visualisation

    Module code: GY7413 This module focuses on information visualisation as an effective approach to exploring, analysing, and communicating knowledge from data.

  • Earth observations of the atmosphere

    Module code: PA7201 This module will combine an introduction to the atmosphere and atmospheric sensing with practical experience in analysing large and complex atmospheric datasets.

  • 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.

  • Earth observations of the atmosphere

    Module code: PA7201 This module will combine an introduction to the atmosphere and atmospheric sensing with practical experience in analysing large and complex atmospheric datasets.

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