Ancient Civilisations
En podkast av NOISER - Fredager
24 Episoder
-
Machu Picchu and the Inca Trail
Publisert: 21.11.2025 -
The Knights Templar
Publisert: 14.11.2025 -
The Pirate Queen
Publisert: 7.11.2025 -
The Pyramids
Publisert: 31.10.2025 -
The Samurai
Publisert: 23.10.2025 -
Pompeii and the Vesuvius Eruption
Publisert: 5.6.2025 -
The Gladiators
Publisert: 29.5.2025 -
The Ottoman Empire
Publisert: 22.5.2025 -
The First Persian Empire
Publisert: 15.5.2025 -
The Lighthouse of Alexandria
Publisert: 8.5.2025 -
The Terracotta Army
Publisert: 1.5.2025 -
Attila the Hun, Part 2 of 2
Publisert: 24.4.2025 -
Attila the Hun, Part 1 of 2
Publisert: 17.4.2025 -
The Sutton Hoo Ship Burial
Publisert: 10.4.2025 -
Alexander the Great
Publisert: 3.4.2025 -
The Great Wall of China
Publisert: 28.3.2025 -
Genghis Khan and the Mongols, Part 2 of 2
Publisert: 21.3.2025 -
Genghis Khan and the Mongols, Part 1 of 2
Publisert: 14.3.2025 -
The Rosetta Stone
Publisert: 7.3.2025 -
The Aztecs
Publisert: 28.2.2025
The ancient world was full of wonders. Engineering marvels like the Great Wall of China and Stonehenge. Remarkable peoples like the Aztecs, the Romans and the Mongols. Infamous leaders such as Cleopatra, Julius Caesar and Herod the Great. Inventors, explorers, builders, pioneers and philosophers who shaped the world we live in today. Welcome to Ancient Civilisations - the podcast that takes you back in time to discover the ancient world, one story at a time. A Noiser production, narrated by Paul McGann and John Hopkins. As featured on Short History Of... and Real Dictators. Noiser+ members get ad-free listening, exclusive content, and early access to new episodes across the Noiser podcast network. Click the subscription banner at the top of the feed to get started. Or go to noiser.com/subscriptions. No part of this podcast may be used or reproduced in any manner for the purpose of training artificial intelligence technologies or systems. In accordance with Article 4(3) of the DSM Directive 2019/790, Noiser Ltd expressly reserves this work from the text and data mining exception.
