Technology: Risk and regulation in the digital age

As digital technologies continue to evolve, there is increasing pressure on Executives to consider how the adoption of new technologies can improve business efficiency and reduce business and transaction costs. Some of these efficiency gains require digitising functions common to all businesses, such as financial and human resource management, stakeholder and customer engagement, risk management and regulatory compliance. Other efficiency gains arise from the use of technology to improve how a business produces the goods and services they bring to market. In both the operations and production context, the use of technology involves the consideration of a complex range of ethical and legal issues. Executives charged with understanding and addressing these issues must exhibit knowledge not just of the technology itself, but also of the regulatory regimes and compliance mechanisms that govern its use. This unit introduces you to ‘big data’, machine learning, rules-based decision-making, natural language processing, ‘RegTech’, blockchain, ‘smart contracts’, cloud computing, cyber-security, and electronic instruments and digital signatures. You will gain an understanding of the conceptual principles underpinning these technologies, their associated benefits and limitations and their application in various business contexts. The unit also examines the existing and proposed regulatory regimes and instruments (within and outside of Australia) governing the deployment of these technologies and the use, collection and storage of personal data. A range of case studies from different industries will be used to illustrate how new technologies can be applied to address a range of business needs, and to provide context for considering the practical, legal, ethical and regulatory issues that must be managed before, during and after technology deployment.

### 📊 课程难度与压力分析 BTF3111（Technology: Risk and regulation in the digital age）在 Monash 商科体系中属于商法与合规方向的重要课程，学习压力主要来自概念理解、案例应用与结构化表达三方面的叠加。前几周通常以框架和术语为主，中后段会叠加案例分析、作业报告、测验与期末复习，若没有固定节奏，容易出现“看得懂但写不全”的失分。建议从第一周起建立稳定学习闭环：每周一次概念梳理、一次案例推演、一次错题复盘，把风险前置。 ### 🎯 备考重点与高分策略 高分关键是“规则/模型理解准确 + 推理路径完整 + 结论可落地”。复习建议三轮推进：第一轮补全核心概念和判断标准；第二轮按题型强化（案例分析题、论述题、计算题、综合决策题），形成模板化答题结构；第三轮做限时模拟，训练在时间压力下保持论证完整。答题时建议先给结论框架，再展开依据与步骤，最后说明风险与替代方案。 ### 📚 学习建议与资源推荐 资料优先级建议为：课程讲义与 rubric > tutorial 案例与课堂讨论 > 历年题与补充资料。每周至少保留 45 分钟进行错误归因，把问题归类为概念混淆、条件遗漏、计算疏漏、表达不清四类，并为每类制定下周可执行修正动作。建议维护“概念卡片 + 题型模板 + 错题索引”三件套，提高长期稳定性。 ### ⚠️ 作业与考试避坑指南 常见失分点包括：只写结论不写依据、忽略题干限定条件、案例要素引用不完整、计算结果缺解释。建议按 D-7 / D-3 / D-1 节奏推进：D-7 完成主答案结构，D-3 补依据与边界条件，D-1 做格式核查与口径统一。 ### ✅ 执行建议 每周固定 30 分钟复盘，记录“错误原因-修复动作-验证结果”。 ### 🧪 考前核对清单 提交前逐项确认：是否明确结论、是否给出依据、是否覆盖边界条件、是否解释风险与影响、是否完成表达润色。连续执行 8-10 周后，BTF3111 的稳定性和成绩通常会明显提升。