External Course

Performance of the SARS-CoV-2 RT-PCR test as a tool for detecting SARS-CoV-2 infection in the population

DSA ADS Course - 2021

Performance of the SARS-CoV-2 RT-PCR test as a tool for detecting SARS-CoV-2 infection in the population

COVID19, Public Policy, Health Policy, SARS-CoV-2, RT-PCR Test, Infectious Potential, Laboratory Quality Assurance, Dr. Kary Mullis, Cycle Threshold Values

How Climate Scenarios Lost Touch With Reality

DSA ADS Course - 2021

Climate Science, Bad Science, Crisis in Science, Climate Scenarios

Decision-makers and policy-makers depend on professional data scientists to make optimal decisions. Timely self-correcting mechanisms using near real-time data is critical. Failures of climate science and abuse/misuse of scenario planning is instructive of what NOT to do.

Scenario planning is a prudent part of high value data science yet MUST be combined with applied PROBABILITY and analyzed with context to goals and fluid situational reality.

June, 2021

Evolutionary Game Theory: Game Theory, Applied Probability, Scenario Planning

DSA ADS Course - 2021

Game Theory, Applied Probability, Scenario Planning, Evolutionary Game Theory

Important to have basic knowledge of game theory. 

Game theory considers problems confronted by decision-makers with diverging interests like firms competing for a market. Players have to choose between strategies whose payoff depends on their rivals’ strategies. This interdependence leads to a mutual ‘outguessing’, as with chess (she thinks that I think that she thinks…).

Foundations of Data Science - Textbook

DSA ADS Course - 2021

 

Avrim Blum, John Hopcroft, Ravindran Kannan 

June, 2016 

Introduction:

 

Computer science as an academic discipline began in the 1960’s. Emphasis was on programming languages, compilers, operating systems, and the mathematical theory that supported these areas. Courses in theoretical computer science covered finite automata, regular expressions, context free languages, and computability. 

 

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