Patrick Schneider

This practical handbook offers a comprehensive guide to efficient project management. It pursues a broad, well-structured approach, suitable for most projects, and allows newcomers, experienced project managers, and decision-makers to find valuable input that matches their specific needs. The Project Management Compass guides readers through various sections of the book; templates and checklists offer additional support. The handbook’s innovative structure combines concepts from systems engineering, management psychology, and process dynamics. This international edition will allow sharing of the authors' experience gained in many years of project work and over thousands of project management and leadership seminars conducted for BWI Management Education in Zurich, Switzerland.This second, entirely revised edition of the Project Management Handbook is based on the fundamentals of the previous standard work and is aligned with the German 5th edition. It now covers a large number of new or updated topics. This work has also been updated to help with the IPMA certification and offers a comprehensive reference table for all competence elements of the Individual Competence Baseline of IPMA® (ICB4).

This practical handbook offers a comprehensive guide to efficient project management. It pursues a broad, well-structured approach, suitable for most projects, and allows newcomers, experienced project managers, and decision-makers to find valuable input that matches their specific needs. The Project Management Compass guides readers through various sections of the book; templates and checklists offer additional support. The handbook’s innovative structure combines concepts from systems engineering, management psychology, and process dynamics. This international edition will allow sharing of the authors' experience gained in many years of project work and over thousands of project management and leadership seminars conducted for BWI Management Education in Zurich, Switzerland.This second, entirely revised edition of the Project Management Handbook is based on the fundamentals of the previous standard work and is aligned with the German 5th edition. It now covers a large number of new or updated topics. This work has also been updated to help with the IPMA certification and offers a comprehensive reference table for all competence elements of the Individual Competence Baseline of IPMA® (ICB4).

Projektmanagement ist herausfordernd: Innovative Ziele müssen durch interdisziplinäre Zusammenarbeit und unter Zeit- und Kostendruck erreicht werden. Die komplett überarbeitete 5. Auflage vermittelt Ihnen die notwendigen Kompetenzen. Grundlage dafür bilden moderne und praxisbewährte Methoden für die agile, klassische und hybride Projektabwicklung, ergänzt durch zwei Praxisbeispiele aus der Industrie sowie über 180 Abbildungen. Projekte können nur gelingen, wenn aus den Projektbeteiligten ein Team geformt wird, in welchem sich die individuellen Kompetenzen gegenseitig bereichern und ergänzen. Dafür braucht es gut entwickelte Führungskompetenzen, um die Rahmenbedingungen für Hochleistungsteams zu schaffen.Zahlreiche Vorlagen und Checklisten sowie ein umfassender Index machen dieses Kompendium zum optimalen Nachschlagewerk für Entscheidungsträger und alle Projektbeteiligten. Die Inhalte werden auf die Individual Competence Baseline (ICB) von IPMA referenziert. Damit eignet sich dieses Werk auch optimal als Vorbereitung für eine Zertifizierung.

Anomaly Detection and Complex Event Processing over IoT Data Streams: With Application to eHealth and Patient Data Monitoring presents advanced processing techniques for IoT data streams and the anomaly detection algorithms over them. The book brings new advances and generalized techniques for processing IoT data streams, semantic data enrichment with contextual information at Edge, Fog and Cloud as well as complex event processing in IoT applications. The book comprises fundamental models, concepts and algorithms, architectures and technological solutions as well as their application to eHealth. Case studies, such as the bio-metric signals stream processing are presented –the massive amount of raw ECG signals from the sensors are processed dynamically across the data pipeline and classified with modern machine learning approaches including the Hierarchical Temporal Memory and Deep Learning algorithms. The book discusses adaptive solutions to IoT stream processing that can be extended to different use cases from different fields of eHealth, to enable a complex analysis of patient data in a historical, predictive and even prescriptive application scenarios. The book ends with a discussion on ethics, emerging research trends, issues and challenges of IoT data stream processing.