11: Industrie 4.0, Vorlesung, WS 2017/18, 26.01.2018

Autor

Torsten Kröger

Herausgeber

KIT | Webcast

Beteiligtes Institut

Institut für Anthropomatik und Robotik (IAR)

Genre

Vorlesung

Beschreibung

11 |
0:00:00 Starten
0:00:47 Syllabus - Winter Term 2017/18
0:03:58 Anomalies in a Single Time Series Signal
0:05:13 Criteria for Anomaly Detection
0:07:48 Characteristics of Univariate, Multivariate and Hybrid Anomaly Detection Methods
0:09:49 Characteristic of Supervised and Unsupervised Learning, and a Hybrid Method
0:14:12 Requirements Engineering
0:18:26 Elicitation-Inception
0:19:38 Elicitation Work Documents
0:21:52 Use Cases
0:23:37 Validating Requirements
0:25:50 Technology Readiness Levels
0:27:30 What is TRL Good for?
0:29:45 Waterfall Model
0:33:41 The Agile Manifesto
0:41:37 Introduction to Scrum
0:42:07 Scrum Roles
0:47:07 Scrum Pros
0:49:22 Scrum Cons
0:51:42 Safety and Quality
0:54:04 IEC 61508 Typical Certification Process
0:55:35 IEC 61508 V-model
0:58:56 Categories of Version Control Systems
1:01:22 Lock-Modify-Unlock
1:02:58 Lock-Modify-Merge
1:05:09 Introduction to git
1:06:50 Your Files in Your git Repository
1:08:29 A Commit
1:08:50 Synchronizing with the Server
1:10:05 The whole Picture
1:10:44 Your Workflow
1:12:29 Introduction to git
1:13:07 Git- Sample Workflow
1:14:48 Gerrit- A Git toolset
1:16:02 More Git Tools

Laufzeit (hh:mm:ss)

01:17:43

Serie

Industrie 4.0, Vorlesung, WS 2017/18

Publiziert am

06.02.2018

Fachgebiet

Informatik

Lizenz

KITopen-Lizenz