Communities differ dramatically regarding their risk of environmental hazards and the extent to
which they are impacted by disasters. Using the FEMA Federal Disaster Information website,
determine a high risk/hazard area in your state or region.
In an essay of 1,000-1,250 words, answer the following questions:
What hazards exist in your state or region? Categorize these hazards as meteorological,
hydrological, geophysical, and technological hazards; you may also have a category for human caused disasters.
What is the extent of damage caused by these disasters? What mitigation programs have taken place? What are the estimated costs of these projects?
Access the “Disaster Declarations by Year” page of the FEMA website (located at
https://www.fema.gov/disasters/year), select one of the presidential disaster declarations, and
use it as a case study in your state or region:
What were the lessons learned from that disaster with respect to hazard warning, emergency
notification, and evacuation?
Did demographic, geographic, or economic factors have a role in response problems?
What disaster myths were present? Were these myths found to be accurate in later reports?
What lessons learned from this community can be generalized to all communities with similar
hazards and demographics?
Prepare this assignment according to the guidelines found in the APA Style Guide, located in the
Student Success Center. An abstract is not required.
This assignment uses a rubric. Please review the rubric prior to beginning the assignment to
become familiar with the expectations for successful completion.

Video Games and Eye Witness Memory
Read the article and summarize (550 words).

Information Security Management
The student will be given a scenario where they must perform a risk assessment on some given hardware (student will be given hardware list with part numbers) and be given needed software components where risk should be assessed from an attack surface perspective and other security-relevant criteria. Students will be given value of data contained on this one computer system and must perform a qualitative analysis on the entirety of the assets and what risks need to be mitigated, accepted (too expensive to address), transferred (such as purchasing data breach protection), or avoidance (the risk is too high and avoided by senior mgmt.).
Scenario:
InfoTegrity is a new startup firm that has discovered an innovative way to encrypt data for protecting the confidentiality of clients’ data, yet the system containing the algorithms, initialization vectors, and keys needs to be secured to prevent unauthorized access to the data. A risk assessment must be performed to find all the risk that is present on the system. The system uses operating system Windows 10 build 1703 and has multiple C++ redistributables that are used for other software applications installed on the system used by the organization. The system is also freely accessible on the company network by employees on-site that need access to the system. By observing the supplied HW/SW list provided by local IT administrators and this information, perform a risk assessment based on the information given to you and provide guidance as to the best solution to assist in ensuring that confidentiality, integrity, and availability of the system is kept at an acceptable level of risk. Use google and any other web browsing applications to research this scenario and write three paragraphs, the first to present the way you are going to organize your risk assessment (i.e. identify assets, valuate them, assign levels of risk, etc.). The second describing the risk elements and findings for the assessment for the system. The last paragraph providing guidance as to the best path forward to address the risk that is present and what needs to be addressed for each risk (for instance high risk items should be mitigated as oppose to low risk items that would be accepted by the organization).

Theory of Machine Learning
1. Write in details about following with examples:
• Descriptive analytics
• Predictive analytics • Prescriptive analytics
2. Write theory and mathematics of following algorithms:
• Multivariate Feature Selection
• Random forests
• Neural Network
• Support vector machines
• Mathematical modelling, simulation and optimization
Note: Cite referenced materials.
Use Dataset at : https://www.kaggle.com/jpacse/telecom-churn-new-cell2cell-dataset
Note: use Python as language
Descriptive analytics
1. Perform univariate data exploration and comment on results.
2. Perform bi-variate data exploration and comment on results.
3. Which attributes predict churn behavior? Discuss on finding.
Predictive analytics
4. Perform multivariate feature selection and comment on results
5. Build predictive models using Random Forests, Neural Network and Support Vector Machines. Discuss on performance of the models and compare the models.
Prescriptive analytics
6. Run mathematical modelling, simulation and optimization technique to optimize customer retention (or avoid churn). C
omment on results.