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Reading list
We've selected ten books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Temporal Data.
Introduces time series analysis and forecasting techniques, covering both traditional and advanced methods for analyzing and predicting temporal data.
Offers a comprehensive guide to temporal databases, covering their theoretical foundations, design principles, and implementation techniques.
Provides a detailed overview of the concept of time in quantum mechanics, including various interpretations and the role it plays in physical processes.
Provides an introduction to temporal GIS and its applications in various domains, such as environmental modeling and transportation planning.
Explores the philosophical and scientific implications of the arrow of time, discussing topics such as entropy and the nature of causality.
Provides a comprehensive introduction to temporal logic, including its theoretical foundations and practical applications in various domains such as computer science and artificial intelligence.
Examines the historical development of conceptions of time, focusing on the contributions of Albert Einstein and Henri Poincaré.
Explores the nature of time from a physicist's perspective, discussing concepts such as entropy, black holes, and the arrow of time.
Investigates the psychological aspects of time perception and consciousness, exploring the relationship between time and mental processes.
This influential philosophical work presents McTaggart's famous "A-Series" and "B-Series" distinctions in the analysis of time.
For more information about how these books relate to this course, visit:
OpenCourser.com/topic/reirgf/temporal
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