ATHK1001 Lecture Notes - Lecture 1: Big Data

• School: University of Sydney
• Department: Analytical Thinking
• Course: ATHK1001
• Professor: bruce burns

Document Summary

Analytical thinking lecture 1 (dr bruce burns: cognition. The act or process of knowing; perception. The product of such a process; something thus known, perceived, etc. Purpose - to methodically break down complex problems into single and manageable components. Involves gathering relevant information and identifying key issues related to this information. Requires comparing data sets; identify possible cause and effect patterns, and drawing appropriate conclusions in order to arrive at appropriate solutions: three aspects, gather information. What are the right questions: identify issues and problems. Recognize underlying issues or problems with information and data: organize information. Being able to understand and reason about data is a critical skill in conclusions. many domains. Rise of (cid:498)big data(cid:499) gathering large data sets and drawing. There are (cid:498)cognitive illusions(cid:499) same as there are (cid:498)perceptual illusions(cid:499) - errors don(cid:495)t mean we are stupid. Illusions give us insight into how processes work. Helps us understand how to avoid them.