Scope and Sequence

Topic	Lesson	Activity	Optional Lessons/Support Materials	Standards
Big Data	What is Big Data?		The V’s of Big Data	CSTA Standards: Level 1: Computer Science in the Modern World Appreciate the breath of computing and its influence in almost every aspect modern life.Level 2: Computer Science Concepts and Practices Understand the application of computational thinking to real-world problems. Level 1: Understanding computer science principles and practices to informed choices and use appropriate computation tools and techniques in whatever career they decide to pursue. Computers and Communications Devices Recognize that computers are devices that execute programs.
	Forget Privacy		Big Data Analytics and Big Data Tools
	Units of Big Data
Infectious Disease	The Infectious Disease Process: Why You Get Sick—or Not	The Spread of Infectious Disease	The Epidemiological Process	NSES-Content Standard C: The severity of disease symptoms is dependent on many factors, such as human resistance and the virulence of the disease-producing organism. Many diseases can be prevented, controlled, or cured. Biological classifications are based on how organisms are related. Organisms are classified into a hierarchy of groups and subgroups based on similarities which reflect their evolutionary relationships.Hazards and the potential for accidents exist. Regardless of the environment, the possibility of injury, illness, disability, or death may be present. Humans have a variety of mechanisms that can reduce and modify hazards.
	Outbreaks, Epidemics, and Pandemics—What’s the difference?		Disease Transmission Methods
	Types of Pathogens	Lab-Types of Pathogens—slides of different pathogens	How Microorganisms Cause Disease
			How Vaccines Work
			Table of Emerging Diseases
			Video-Ebola (highlights epidemiology processes and transmission methods)
Note: See Pandem Disease Center for PBL modules and additional support materials
Infectious Disease Modeling	Understanding Infectious Disease Modeling	Interpreting a SIR Graph	PPT SIR Epidemic Modeling	NGSS—HS-ETS1-1 Analyze a major global challenge to specify qualitative and quantitative criteria and constraints for solutions that account for societal needs and wants. HS-ETS1-3 Evaluate a solution to a complex real-world problem based on prioritized criteria and trade-offs that account for a range of constraints, including cost, safety, reliability, and aesthetics as well as possible social, cultural, and environmental impacts.HS-ETS1-4 Use a computer simulation to model the impact of proposed solutions to a complex real-world problem with numerous criteria and constraints on interactions within and between systems relevant to the problem. CSTA—Computational Thinking Interact with content-specific models and simulations (e.g. ecosystems, epidemics) to support learning and research.Evaluate what kinds of problems can be solved using modeling and simulation. Analyze the degree to which a computer model accurately represents the real world.Use modeling and simulation to represent and understand natural phenomena. Provide examples of interdisciplinary applications of computational thinking. Explore a variety of careers to which computing is central.
	Big Data and Epidemics
	Using FRED	Critical thinking activity for FRED models	Herd Immunity
			How Vaccines Prevent Disease
	GLEAMviz	Building Infectious Disease Models with GLEAMviz
	How GLEAMviz uses Big Data
	Guide-Using GLEAMviz
	Guide-Infectious Disease Modeling with GLEAMviz
Pandem Data Careers	Use Big Data Biomedical and Computer Technology Careers	Pandem Data Careers site
Note: See Pandem Disease Center for more biomedical and related careers.