把整个课程目录整理和翻译如下，便于大家对整个课程yo的知识结构有个了解，以及有选择性的进行学习，比如有数据科学背景的就可以跳过Week 1前几个视频~~

Week 1 - Introduction and Data Mining 流程挖掘介绍与数据挖掘

Course Introduction and Overview 课程介绍与概述

               Course Background and Practical Information [Video] 课程背景和练习信息

Data and Process Mining 数据挖掘与流程挖掘

               1.1: Data Science and Big Data  [Video: 16 min] 数据科学与大数据

               1.2: Different Types of Process Mining  [Video: 21 min] 流程挖掘的类型

               1.3: How Process Mining Relates to Data Mining  [Video: 20 min] 流程挖掘与数据挖掘的关系

Decision Tree 决策树

               1.4: Learning Decision Trees  [Video: 26 min] 学习决策树

               1.5: Applying Decision Trees  [Video: 20 min] 运用决策树

               1.6: Association Rule Learning  [Video: 18 min] 关联规则学习

Clustering and Association Rule Learning 聚类与关联规则学习

               1.7: Cluster Analysis  [Video: 13 min] 聚类分析

               1.8: Evaluating Mining Results  [Video: 14 min] 评估挖掘结果

Week 2 – Process Models and Process Discovery 流程模型和流程发现

               2.1: Event Logs and Process Models  [Video: 14 min] 事件日志与流程模型

               2.2: Petri Nets (1/2)  [Video: 16 min] Petri网(1)

               2.3: Petri Nets (2/2)  [Video: 17 min] Petri网(2)

               2.4: Transition Systems and Petri Net Properties  [Video: 20 min] 转换系统与Petri网属性

               2.5: Workflow Nets and Soundness  [Video: 16 min] 工作流网与正确性

               2.6: Alpha Algorithm: A Process Discovery Algorithm  [Video: 25 min] Alpha算法:一个流程发现的算法

               2.7: Alpha Algorithm: Limitations  [Video: 23 min] Alpha算法:局限性

               2.8: Introducing ProM and Disco  [Video: 25 min] ProM和Disco介绍

Week 3 – Different Types of Process Models

               3.1: Four Quality Criteria For Process Discovery  [Video: 19 min] 流程发现的4个质量准则

               3.2: The Representational Bias of Process Mining  [Video: 16 min] 流程挖掘的代表性偏差

               3.3: Business Process Model and Notation (BPMN)  [Video: 15 min] 业务流程模型与符号

               3.4: Dependency Graphs and Causal Nets  [Video: 21 min] 依附图与因果关系网

               3.5: Learning Dependency Graphs  [Video: 21 min] 学习依附图

               3.6: Learning Causal nets and Annotating Them  [Video: 18 min] 学习因果关系网和标注

               3.7: Learning Transition Systems  [Video: 14 min] 学习转换系统

               3.8: Using Regions to Discover Concurrency  [Video: 18 min] 使用区域来发现并发

Week 4 – Process Discovery Techniques and Conformance checking 流程发现技术与符合性检查

Process Discovery 流程发现

               4.1: Two-Phase Process Discovery And Its Limitations  [Video: 15 min] 二阶段流程发现及其局限

               4.2: Alternative Process Discovery Techniques  [Video: 22 min] 其他流程发现技术

Conformance Checking 符合性检查/一致性检查

               4.3: Introduction to Conformance Checking  [Video: 11 min] 符合性检查介绍

               4.4: Conformance Checking Using Causal Footprints  [Video: 10 min] 运用因果足迹进行符合性检查

               4.5: Conformance Checking Using Token-Based Replay  [Video: 14 min] 运用token重演进行符合性检查

               4.6: Token Based Replay: Some Examples  [Video: 15 min] 基于token的重新演示

               4.7: Aligning Observed and Modeled Behavior  [Video: 18 min] 将建模的事件行为与所观察的事件行为保持一致

Exploring Event Data探索性事件数据分析

               4.8: Exploring Event Data  [Video: 20 min] 探索事件数据

Week 5 – Enrichment of Process Models 丰富流程模型

Decision Point Analysis 决定节点分析

               5.1: About the Last Two Weeks of This Course  [Video: 10 min] 过去两周课程回顾

               5.2: Mining Decision Points  [Video: 16 min] 决定节点挖掘

               5.3: Discovering Data Aware Petri Nets  [Video: 12 min] 发现数据识别的Petri网

Bottlenecks, Social Networks, and Organizational Mining瓶颈、社交网络和组织挖掘

               5.4: Mining Bottlenecks  [Video: 11 min] 挖掘瓶颈问题

               5.5: Mining Social Networks  [Video: 16 min] 挖掘社交网络

               5.6: Organizational Mining  [Video: 8 min]utes8 min] 组织性挖掘

Combining and Comparative Process Mining Perspectives 结合与比较性流程挖掘视角

               5.7: Combining Different Perspectives  [Video: 12 min] 结合不同视角

               5.8: Comparative Process Mining Using Process Cubes  [Video: 13 min] 运用流程立方体的比较流程挖掘

               5.9: Refined Process Mining Framework  [Video: 11 min] 完善流程挖掘框架

Week 6 – Operational Support and Conclusion  运营支持及小结

Operational Support 运营支持

               6.1: Operational Support: Detect, Predict and Recommend  [Video: 16 min] 运营支持：发现、预测和推荐

Getting Event Data and Process Mining Software Overview 获取事件数据和流程挖掘软件概览

               6.2: Getting the Right Event Data  [Video: 16 min] 获得正确的时间数据

               6.3: Guidelines for Logging  [Video: 9 min]utes9 min] 建立事件日志指南

               6.4: Process Mining Software  [Video: 15 min] 流程挖掘软件

Conduct a Process Mining Project 实施流程挖掘项目

               6.5: How to Conduct a Process Mining Project  [Video: 11 min] 如何进行流程挖掘项目

               6.6: Mining Lasagna Processes  [Video: 5 min]utes5 min] 挖掘 lasagna 流程 （更为简化的流程）

               6.7: Mining Spaghetti Processes  [Video: 8 min]utes8 min] 挖掘 spaghetti 流程（面条状流程）

Conclusion 小结

               6.8: Process Models as Maps  [Video: 11 min] 地图状的流程模型

               6.9: Data Science in Action  [Video: 9 min]utes9 min] 数据科学实战

目前在Coursera的翻译进度，万里长征的开始！我的茶余饭后和工作之余要加油了！