商业分析课程

默认只展示每周独有的知识重点；节奏、考核、Tutorial 和避坑信息按需展开。

1. 1

   Introduction to Responsible AI In Module 1, you will be introduced to the ELSI Framework, which stands for the ethical, legal, and social implications for artificial intelligence. In the Seminar we will have welcome and course introduction.

   第1周主题：Introduction to Responsible AI In Module 1, you will be introduced to the ELSI Framework, which stands for the ethical, legal, and social implications for artificial intelligence. In the Seminar we will have welcome and course introduction. 本周先完成 Lecture/Reading 的概念梳理，再用 tutorial 或题目验证理解，重点是把概念转成可解释的步骤。 学习重点：围绕“Introduction to Responsible AI In Module 1, you will be introduced to the ELSI Framework, which stands for the ethical, legal, and social implications for artificial intelligence. In the Seminar we will have welcome and course introduction.”识别关键术语、方法边界和常见误区，输出一页结构化笔记（定义、方法、例题、易错点）。 实操建议：至少完成 2-3 个与本周主题直接相关的练习，并记录每题的假设与推导过程，避免只记结论。 交付与复盘：对照 BSAN7210 的 assessment 要求检查本周产出，保留可复用模板用于后续周和考前复盘。

   IntroductiontoResponsibleAIInModule1,you
2. 2

   Ethics and AI In Module 2.1, you will examine the key philosophy and ethical dimensions of AI, and focusing on business analytics. In our Seminar we will be Aapplying the ELSI framework: Ethics and AI. Please prepare prior to attendance.

   第2周主题：Ethics and AI In Module 2.1, you will examine the key philosophy and ethical dimensions of AI, and focusing on business analytics. In our Seminar we will be Aapplying the ELSI framework: Ethics and AI. Please prepare prior to attendance. 本周先完成 Lecture/Reading 的概念梳理，再用 tutorial 或题目验证理解，重点是把概念转成可解释的步骤。 学习重点：围绕“Ethics and AI In Module 2.1, you will examine the key philosophy and ethical dimensions of AI, and focusing on business analytics. In our Seminar we will be Aapplying the ELSI framework: Ethics and AI. Please prepare prior to attendance.”识别关键术语、方法边界和常见误区，输出一页结构化笔记（定义、方法、例题、易错点）。 实操建议：至少完成 2-3 个与本周主题直接相关的练习，并记录每题的假设与推导过程，避免只记结论。 交付与复盘：对照 BSAN7210 的 assessment 要求检查本周产出，保留可复用模板用于后续周和考前复盘。

   EthicsandAIInModule2.1,youwill
3. 3

   Law and AI In Module 2.2, you will develop your theoretical understanding of the relationship between AI and law, different models for explaining legal, technological, and social change, and a practical understanding of different areas of law and how these might impact on your future work. In the Seminar we will be applying the framework focusing on the law. Please prepare prior to attendance.

   第3周主题：Law and AI In Module 2.2, you will develop your theoretical understanding of the relationship between AI and law, different models for explaining legal, technological, and social change, and a practical understanding of different areas of law and how these might impact on your future work. In the Seminar we will be applying the framework focusing on the law. Please prepare prior to attendance. 本周先完成 Lecture/Reading 的概念梳理，再用 tutorial 或题目验证理解，重点是把概念转成可解释的步骤。 学习重点：围绕“Law and AI In Module 2.2, you will develop your theoretical understanding of the relationship between AI and law, different models for explaining legal, technological, and social change, and a practical understanding of different areas of law and how these might impact on your future work. In the Seminar we will be applying the framework focusing on the law. Please prepare prior to attendance.”识别关键术语、方法边界和常见误区，输出一页结构化笔记（定义、方法、例题、易错点）。 实操建议：至少完成 2-3 个与本周主题直接相关的练习，并记录每题的假设与推导过程，避免只记结论。 交付与复盘：对照 BSAN7210 的 assessment 要求检查本周产出，保留可复用模板用于后续周和考前复盘。

   LawandAIInModule2.2,youwill
4. 4

   Society and AI In Module 2.3, you will examine the broader societal implications that are important to consider with AI and automated decision-making systems. In the Seminar we will be applying the framework focusing on the social and societal implications of AI systems. Please prepare prior to attendance.

   第4周主题：Society and AI In Module 2.3, you will examine the broader societal implications that are important to consider with AI and automated decision-making systems. In the Seminar we will be applying the framework focusing on the social and societal implications of AI systems. Please prepare prior to attendance. 本周先完成 Lecture/Reading 的概念梳理，再用 tutorial 或题目验证理解，重点是把概念转成可解释的步骤。 学习重点：围绕“Society and AI In Module 2.3, you will examine the broader societal implications that are important to consider with AI and automated decision-making systems. In the Seminar we will be applying the framework focusing on the social and societal implications of AI systems. Please prepare prior to attendance.”识别关键术语、方法边界和常见误区，输出一页结构化笔记（定义、方法、例题、易错点）。 实操建议：至少完成 2-3 个与本周主题直接相关的练习，并记录每题的假设与推导过程，避免只记结论。 交付与复盘：对照 BSAN7210 的 assessment 要求检查本周产出，保留可复用模板用于后续周和考前复盘。

   SocietyandAIInModule2.3,youwill
5. 5

   Privacy, Consent & Surveillance - Part 1 Consent and privacy challenges are important considerations with AI systems and data. As we begin Module 3.1, we will cover issues associated with Privacy, Consent and Surveillance as these arise in the artificial intelligence landscape. We will explore these issues through two different case studies. The Seminar provides a discussion on the (fictional) case of 'Optimizing Sch

   第5周主题：Privacy, Consent & Surveillance - Part 1 Consent and privacy challenges are important considerations with AI systems and data. As we begin Module 3.1, we will cover issues associated with Privacy, Consent and Surveillance as these arise in the artificial intelligence landscape. We will explore these issues through two different case studies. The Seminar provides a discussion on the (fictional) case of 'Optimizing Sch 本周先完成 Lecture/Reading 的概念梳理，再用 tutorial 或题目验证理解，重点是把概念转成可解释的步骤。 学习重点：围绕“Privacy, Consent & Surveillance - Part 1 Consent and privacy challenges are important considerations with AI systems and data. As we begin Module 3.1, we will cover issues associated with Privacy, Consent and Surveillance as these arise in the artificial intelligence landscape. We will explore these issues through two different case studies. The Seminar provides a discussion on the (fictional) case of 'Optimizing Sch”识别关键术语、方法边界和常见误区，输出一页结构化笔记（定义、方法、例题、易错点）。 实操建议：至少完成 2-3 个与本周主题直接相关的练习，并记录每题的假设与推导过程，避免只记结论。 交付与复盘：对照 BSAN7210 的 assessment 要求检查本周产出，保留可复用模板用于后续周和考前复盘。

   Privacy,Consent&Surveillance-Part1
6. 6

   Privacy, Consent & Surveillance 2, w/Team Session In the second part of Module 3.1, we will cover additional issues associated with Privacy, Consent and Surveillance as these arise in the artificial intelligence landscape. In Week 6 teams gather to select a topic for the Final Group Presentations (Assessment #2, due in Week 13). Students team up in groups of 3 - 4 (or other amount to be determined by instructor depen

   第6周主题：Privacy, Consent & Surveillance 2, w/Team Session In the second part of Module 3.1, we will cover additional issues associated with Privacy, Consent and Surveillance as these arise in the artificial intelligence landscape. In Week 6 teams gather to select a topic for the Final Group Presentations (Assessment #2, due in Week 13). Students team up in groups of 3 - 4 (or other amount to be determined by instructor depen 本周先完成 Lecture/Reading 的概念梳理，再用 tutorial 或题目验证理解，重点是把概念转成可解释的步骤。 学习重点：围绕“Privacy, Consent & Surveillance 2, w/Team Session In the second part of Module 3.1, we will cover additional issues associated with Privacy, Consent and Surveillance as these arise in the artificial intelligence landscape. In Week 6 teams gather to select a topic for the Final Group Presentations (Assessment #2, due in Week 13). Students team up in groups of 3 - 4 (or other amount to be determined by instructor depen”识别关键术语、方法边界和常见误区，输出一页结构化笔记（定义、方法、例题、易错点）。 实操建议：至少完成 2-3 个与本周主题直接相关的练习，并记录每题的假设与推导过程，避免只记结论。 交付与复盘：对照 BSAN7210 的 assessment 要求检查本周产出，保留可复用模板用于后续周和考前复盘。

   Privacy,Consent&Surveillance2,w/TeamSessionIn
7. 7

   Diversity, Inclusiveness, and Fairness In Module 3.2, you will examine how the concepts of fairness, inclusivity, and non-discrimination relate to AI. We will explore these issues through two different case studies. This week's Seminar provides a discussion on the (fictional) case of 'Hiring by Machine', which raises relevant real-world questions about fairness, equity, unfair discrimination and others. Please prepar

   第7周主题：Diversity, Inclusiveness, and Fairness In Module 3.2, you will examine how the concepts of fairness, inclusivity, and non-discrimination relate to AI. We will explore these issues through two different case studies. This week's Seminar provides a discussion on the (fictional) case of 'Hiring by Machine', which raises relevant real-world questions about fairness, equity, unfair discrimination and others. Please prepar 本周先完成 Lecture/Reading 的概念梳理，再用 tutorial 或题目验证理解，重点是把概念转成可解释的步骤。 学习重点：围绕“Diversity, Inclusiveness, and Fairness In Module 3.2, you will examine how the concepts of fairness, inclusivity, and non-discrimination relate to AI. We will explore these issues through two different case studies. This week's Seminar provides a discussion on the (fictional) case of 'Hiring by Machine', which raises relevant real-world questions about fairness, equity, unfair discrimination and others. Please prepar”识别关键术语、方法边界和常见误区，输出一页结构化笔记（定义、方法、例题、易错点）。 实操建议：至少完成 2-3 个与本周主题直接相关的练习，并记录每题的假设与推导过程，避免只记结论。 交付与复盘：对照 BSAN7210 的 assessment 要求检查本周产出，保留可复用模板用于后续周和考前复盘。

   Diversity,Inclusiveness,andFairnessInModule3.2,you
8. 8

   Trustworthy systems This week, in Module 3.3, we will cover Transparency, Contestability, Explainability, Understandability, and Safety in the artificial intelligence landscape. We will explore these issues through two different case studies. The Seminar provides a discussion on the (fictional) case of 'Cogito Ergo Sum', which raises issues relating to disclosure when a person is interacting with an AI system. Please

   第8周主题：Trustworthy systems This week, in Module 3.3, we will cover Transparency, Contestability, Explainability, Understandability, and Safety in the artificial intelligence landscape. We will explore these issues through two different case studies. The Seminar provides a discussion on the (fictional) case of 'Cogito Ergo Sum', which raises issues relating to disclosure when a person is interacting with an AI system. Please 本周先完成 Lecture/Reading 的概念梳理，再用 tutorial 或题目验证理解，重点是把概念转成可解释的步骤。 学习重点：围绕“Trustworthy systems This week, in Module 3.3, we will cover Transparency, Contestability, Explainability, Understandability, and Safety in the artificial intelligence landscape. We will explore these issues through two different case studies. The Seminar provides a discussion on the (fictional) case of 'Cogito Ergo Sum', which raises issues relating to disclosure when a person is interacting with an AI system. Please”识别关键术语、方法边界和常见误区，输出一页结构化笔记（定义、方法、例题、易错点）。 实操建议：至少完成 2-3 个与本周主题直接相关的练习，并记录每题的假设与推导过程，避免只记结论。 交付与复盘：对照 BSAN7210 的 assessment 要求检查本周产出，保留可复用模板用于后续周和考前复盘。

   TrustworthysystemsThisweek,inModule3.3,we
9. 9

   Human, Societal & Environmental Well-Being This week, in Module 3.4A, we will cover Human, Societal and Environmental Well-Being in the artificial intelligence landscape. We will explore these issues through two different case studies. This Seminar provides a discussion on the (fictional) case of 'Healthcare App', which describes the development of an app which uses AI to make diabetic care easier and more accessible

   第9周主题：Human, Societal & Environmental Well-Being This week, in Module 3.4A, we will cover Human, Societal and Environmental Well-Being in the artificial intelligence landscape. We will explore these issues through two different case studies. This Seminar provides a discussion on the (fictional) case of 'Healthcare App', which describes the development of an app which uses AI to make diabetic care easier and more accessible 本周先完成 Lecture/Reading 的概念梳理，再用 tutorial 或题目验证理解，重点是把概念转成可解释的步骤。 学习重点：围绕“Human, Societal & Environmental Well-Being This week, in Module 3.4A, we will cover Human, Societal and Environmental Well-Being in the artificial intelligence landscape. We will explore these issues through two different case studies. This Seminar provides a discussion on the (fictional) case of 'Healthcare App', which describes the development of an app which uses AI to make diabetic care easier and more accessible”识别关键术语、方法边界和常见误区，输出一页结构化笔记（定义、方法、例题、易错点）。 实操建议：至少完成 2-3 个与本周主题直接相关的练习，并记录每题的假设与推导过程，避免只记结论。 交付与复盘：对照 BSAN7210 的 assessment 要求检查本周产出，保留可复用模板用于后续周和考前复盘。

   Human,Societal&EnvironmentalWell-BeingThisweek,in
10. 10

    Assessment #2 Working Week Assessment #2 Working Week

    第10周主题：Assessment #2 Working Week Assessment #2 Working Week 本周先完成 Lecture/Reading 的概念梳理，再用 tutorial 或题目验证理解，重点是把概念转成可解释的步骤。 学习重点：围绕“Assessment #2 Working Week Assessment #2 Working Week”识别关键术语、方法边界和常见误区，输出一页结构化笔记（定义、方法、例题、易错点）。 实操建议：至少完成 2-3 个与本周主题直接相关的练习，并记录每题的假设与推导过程，避免只记结论。 交付与复盘：对照 BSAN7210 的 assessment 要求检查本周产出，保留可复用模板用于后续周和考前复盘。

    Assessment#2WorkingWeek
11. 11

    Generative AI This week, in Module 3.5, we will cover Generative AI in the artificial intelligence landscape. We will explore these issues through two different case studies. The Seminar provides a discussion on a case to be provided in Week 12 relating to generative and their potential ethical, legal and societal implications. Please prepare prior to attendance.

    第11周主题：Generative AI This week, in Module 3.5, we will cover Generative AI in the artificial intelligence landscape. We will explore these issues through two different case studies. The Seminar provides a discussion on a case to be provided in Week 12 relating to generative and their potential ethical, legal and societal implications. Please prepare prior to attendance. 本周先完成 Lecture/Reading 的概念梳理，再用 tutorial 或题目验证理解，重点是把概念转成可解释的步骤。 学习重点：围绕“Generative AI This week, in Module 3.5, we will cover Generative AI in the artificial intelligence landscape. We will explore these issues through two different case studies. The Seminar provides a discussion on a case to be provided in Week 12 relating to generative and their potential ethical, legal and societal implications. Please prepare prior to attendance.”识别关键术语、方法边界和常见误区，输出一页结构化笔记（定义、方法、例题、易错点）。 实操建议：至少完成 2-3 个与本周主题直接相关的练习，并记录每题的假设与推导过程，避免只记结论。 交付与复盘：对照 BSAN7210 的 assessment 要求检查本周产出，保留可复用模板用于后续周和考前复盘。

    GenerativeAIThisweek,inModule3.5,we
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    AI Misinformation In Module 3.5 we will cover Misinformation in the artificial intelligence landscape. We will explore these issues through two different case studies. This session provides a discussion on the (fictional) case relating to Deep Fakes and their potential ethical, legal and societal implications. Please prepare prior to attendance.

    第12周主题：AI Misinformation In Module 3.5 we will cover Misinformation in the artificial intelligence landscape. We will explore these issues through two different case studies. This session provides a discussion on the (fictional) case relating to Deep Fakes and their potential ethical, legal and societal implications. Please prepare prior to attendance. 本周先完成 Lecture/Reading 的概念梳理，再用 tutorial 或题目验证理解，重点是把概念转成可解释的步骤。 学习重点：围绕“AI Misinformation In Module 3.5 we will cover Misinformation in the artificial intelligence landscape. We will explore these issues through two different case studies. This session provides a discussion on the (fictional) case relating to Deep Fakes and their potential ethical, legal and societal implications. Please prepare prior to attendance.”识别关键术语、方法边界和常见误区，输出一页结构化笔记（定义、方法、例题、易错点）。 实操建议：至少完成 2-3 个与本周主题直接相关的练习，并记录每题的假设与推导过程，避免只记结论。 交付与复盘：对照 BSAN7210 的 assessment 要求检查本周产出，保留可复用模板用于后续周和考前复盘。

    AIMisinformationInModule3.5wewillcover
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    Summary In this concluding module [Module 4], we will summarize and reflect on the course and you will complete the final assessment. Q&A Session. Please see details on how this will be run on Blackboard.

    第13周主题：Summary In this concluding module [Module 4], we will summarize and reflect on the course and you will complete the final assessment. Q&A Session. Please see details on how this will be run on Blackboard. 本周先完成 Lecture/Reading 的概念梳理，再用 tutorial 或题目验证理解，重点是把概念转成可解释的步骤。 学习重点：围绕“Summary In this concluding module [Module 4], we will summarize and reflect on the course and you will complete the final assessment. Q&A Session. Please see details on how this will be run on Blackboard.”识别关键术语、方法边界和常见误区，输出一页结构化笔记（定义、方法、例题、易错点）。 实操建议：至少完成 2-3 个与本周主题直接相关的练习，并记录每题的假设与推导过程，避免只记结论。 交付与复盘：对照 BSAN7210 的 assessment 要求检查本周产出，保留可复用模板用于后续周和考前复盘。

    SummaryInthisconcludingmodule[Module4],we