ATHK1001 Lecture Notes - Lecture 1: Big Data, Statistical Hypothesis Testing
Lecture 1
Cognition:
1. The act or process of knowing; perception
2. Process of thinking
3. Knowledge
What is Analytical Thinking?
• Everyone thinks, but the quality of our work and our life is influenced by
the quality of our thought
• Whenever ) am asked to analyse an issue, ) use the following method..
• Analyse, breaking down the problem
Elements of Thought
• Points of view
• Purpose
• Implications and complications
• Assumptions
• Concepts
• Interpretation and inference
• Information
• Question at issue
An Example: Pollution
What is the purpose?
- Do something about pollution and its negative consequences
Questions that emerge
- Important relevant information
What do I currently do, what is possible?
Important assumptions?
- Damage is significant
Implications of reasoning through the problem
- Benefits of less pollution but also cost
Important concepts needed
- Host of technical ecological and ethical concepts required to understand
multidimensional problem
My point of view
Interpret and infer from all of this the best solution (conclusion)
Action resulting from your research
Two Reasons to Study Analytic Thinking
• Being able to understand and reason from facts and data is critical skill in
many domains
• The rise of big data and analytics
• Even highly educated people suffer from illusions of thought
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Document Summary
Cognition: the act or process of knowing; perception, process of thinking, knowledge. Elements of thought: points of view, purpose, assumptions, concepts, question at issue. Do something about pollution and its negative consequences. Benefits of less pollution but also cost. Host of technical ecological and ethical concepts required to understand multidimensional problem. Interpret and infer from all of this the best solution (conclusion) Two reasons to study analytic thinking: being able to understand and reason from facts and data is critical skill in many domains, the rise of (cid:498)big data(cid:499) and analytics, even highly educated people suffer from (cid:498)illusions of thought(cid:499) Illusions give us insight to how processes work: there are (cid:498)cognitive illusions(cid:499) and (cid:498)perceptual illusions(cid:499) Error doesn"t mean we"re stupid (cid:498)work the numbers. No matter what common sense may tell you, work the numbers(cid:499) (cid:523)money ball(cid:524: proper understanding of data can help avoid errors. Structure of this course: data concepts and analysis (weeks 1-6)