English
I857 – Computational Archaeology
Computational Archaeology
Version: 1
PD Prof. Dr. rer. nat. Marco Block-Berlitz
marco.block-berlitz(at)htw-dresden.de
PD Prof. Dr. rer. nat. Marco Block-Berlitz
marco.block-berlitz(at)htw-dresden.de
Englisch
5.00 Credits
150 Stunden
4.00 SWS (2.00 SWS Vorlesung | 2.00 SWS Praktikum)
90.00 Stunden
Schriftliche Prüfungsleistung
Prüfungsdauer: 90 min | Wichtung: 100 % | Wird in englischer Sprache abgenommen
- Lecture materials are available as videos and the slides as PDFs
- In addition to the lecture questionnaire, which is available at the end of each lecture, voluntary practical and theoretical exercises are offered
- Image processing
- Pattern recognition
- Agent-based modelling
- Procedural generation
"They" will be used to shorten students in the remainder of this document to keep the objectives more compact.
- They are able to master the necessary mathematical basics
- They will be able to decide in a goal-oriented manner which methods of image processing will improve or prepare the data for a given problem.
- They are able to apply simple methods of image processing.
- They are able to apply simple pattern recognition methods to a given database.
- They are qualified to understand agent-based models and are able to design simple simulations on their own
- They are familiar with simple concepts of procedural generation of data
It is recomended to complete modul I860 Applied Mathematics and Computer Science before taking this modul.
- Lambert: A Student's Guide to Bayesian Statistics, Sage Publishing, 2018
- Zaki, Meira: Data Mining and Machine Learning: Fundamental Concepts and Algorithms, Cambridge University Press, sec. ed., 2020
- Romanowska, Wren, Crabtree: Agent-Based Modeling for Archaeology: Simulating the Complexity of Societies, Santa Fe Institute Press, 2021
- Shiffman: The Nature of Code: Simulating Natural Systems with Processing, The Nature of Code, 2012
Script to the course und lectures notes (videos und slides as PDF)