Legal Reg, Compliance, Invest Discussion

One and half page is fine

Managing Risk

Your company has decided to implement a human resource demographic portal.  Under the system envisioned, employees would be able to use an online internal web page to change various personal information items themselves, such as, address phone, etc.  In addition, the employees would be able to change limited payroll related items, such as 401k deduction percentages or amounts, optional United Way contributions, and the number of federal and state exemptions to be claimed. Along with thie portal would be the ability to view, download, and print current and YTD pay information, including the current paycheck and check “stub”.  

Under the current system, employees must go to the HR office to make any changes – there is no online access.

Your company already requires direct deposit for all employees, and under the new system, pay stubs would no longer be printed.  Employees would be able to do this as needed through the portal.

 There are many potential risks associated with this project

  1. Your task is to Identify as many risks as you can (4 is a minimum, but feel free to identify more risks if you so desire).
  2. Determine the relative likelihood of each risk occurring (lowmedium high)
  3. Propose at least one strategy for addressing each risk, and describe the strategy in terms of the 4 risk responses (Avoidance, Transference, Mitigation, or Acceptance).

Remember that sometimes, risks are acceptable and can be taken, so long they are identified and a strategy to address the risk is presented.  For example, driving a car is a risky venture, but to address that risk we have driver’s education (mitigation), manufacturing safety standards (mitigation), insurance (transference), and staying at home (avoidance). Driving an older, unsafe vehicle by an unlicensed and uninsured motorist could be considered acceptance,

.

Turn in as much as needed. (Sometimes less is more, sometimes more is more; it’s your call.)

Support your strategies as needed with external references, and make sure your answer directly address the potential risks with the  human resource demographic portal.

The Meat Lady Dilemma

 Mrs Parker owns and operates a meat shop that processes and packages parcels of minced meat that is being sold to schools in the US. Her scales are all calibrated to perform measurement in pounds, however when the parcels are packaged, they need to be labelled in ounces. Mrs Parker has established that 1 pound is equivalent to 16 ounces. In each production cycle, 250 packs of meat are processed and the weight in pounds varies for each package. Mrs Parker is also interested in knowing the total costs, the total revenue and the total profit of each production run, given that the costs to produce and package an ounce of meat is US $0.25 and that the selling price of an ounce of meat is US $0.55. Because you are a budding Software Engineer, she has sought your assistance in creating a software solution that can be used within the business establishment. 

Required: A. Specifically identify the type of control structure which is needed to process the meat in each production run and provide a reason for your choice (4 marks) 

B. Your solution needs to represent the meat packages which are to be processed, how would you represent this appropriately in your program and what has guided your choice?  (4 marks) 

C. Construct a C# program that will solve Mrs Parker’s dilemma by making use of the choices made above. 

i. Implementation of the control structure to process the meat (2 marks) 

ii. Implementation of the meat packages to be processed (2 marks) 

iii. Calculation of costs, revenues, and profits (6 marks) 

iv. Appropriate program outputs displayed to the user 

Paper

 

Chapter 2 Paper: Discuss why the IT organizational structure is an important concept to understand.  Also, discuss the role of IT in the overall business strategy. (Information Technology and Organizational Learning Textbook)

The above submission should be one page in length and adhere to APA formatting standards.

Building Secure Web Applications

 Submit final project materials.

  • 500-700 word, double spaced, written in APA format, showing sources and a bibliography
  • PowerPoint

Topic –  WEB WAR I – ESTONIA ATTACK  

Data Structures & Algorithms Graphs

Assignment 5: Graphs

Family tree’s and genealogy software has become more and more prevalent in recent years. From the name you might expect that a family tree would be easily represented by a tree structure, but that is not the case! A more appropriate data structure to

represent a family tree would be a type of graph. Using the description of the family that accompanies this assignment, you must represent this family using a graph structure. The graph needs to be a weighted graph. The weights will constitute the types of

relationships, I recommend using some kind mapping between numbers and strings to represent the relationships. When adding family members to the graph, this can be done programmatically for the provided family members within the description file.

Additionally, I also want there to be an interface in which a user can create a new family member and add them to the tree. This can be a simple CLI where the user provides a name, gender, and age to create a person. Then another simple CLI where they select

which member of the family they want the original relationship to be with and what kind of relationship it should be. Finally, they can edit the family member using another CLI and selecting the family member they wish to edit, the operation they wish to

perform (edit name, edit age, edit relationship), and then add new relationship between family members which can call a function that you create in order to add the original relationship. Remember the DRY philosophy, where code can be modularized or made

into a function, it should be if you plan on using the logic again.

Finally, I want you to make data assertions within the FamilyTree class that enforce certain “rules” that exist in a typical human family. An example would be a person should not have any kind of relationship to itself (a person can not marry themselves, a person

can not be their own brother, sister, father, mother, etc.). There should be at least 3 data assertions. These should exists as part of the family tree, not as part of the graph.

As a hint, for a successful design: I would recommend using layers of abstraction. Your graph class is the backing structure to the family tree class. Your family tree should implement methods that interface with the graph class, i.e. add_family_member() should

call the constructor to create a node and then call a function within the graph class to add a node to the graph. Then using the relationships function parameter, you can add edges to the graph between the new nodes and the existing nodes. The family tree

should be what enforces what relationships can exist through the data assertions, the graph does not care about what relationships are made between family members. Your functions that the user would interface with would be greatly reduced compared to the

total number of methods within the classes themselves. The user should be able to add, remove, and modify family members and that’s about it. Therefore those should be your function calls.

Submission Goals

(120 pts.) Create a FamilyTree class that will represent a family tree for a given family.

The class should contain several types of relationships that commonly happen within a family (siblings, marriage, offspring, etc.)

(40 pts.) Programmatically add the family members to the graph as described by the accompanying family description file.

(40 pts.) Give data assertions to the FamilyTree class to enforce restrictions for basic family structure (at least 3); i.e A person can not marry themselves.

(40 pts.) Provide a simple CLI the enables users to add, remove, and edit family members.

* Note that there is a total of 240 points on the table here. The assignment is only worth 200 points. You have 40 points of optional goals.

Your

4

 

Instructions

Identify what are the different types of hash values. Then tell me, what is the recommended hash value and WHY (and see if you can find case law supporting this!)

Value of this assignment

When you lead an investigation then it is important for you to be comfortable with the different types of hash values as well as knowing what hash value your tool (hardware or software) will provide.

Knowing all this is helpful as part of your courtroom experience and/or if you want to cross-examine the forensic specialist.

Format

Please provide me your analysis in a 1-page document. 

Project management

Find any example of a real project with a real project manager. Feel free to use projects in the media (such as the Olympics, television shows, or movies) or a project from your work, if applicable.

Write a two page paper describing the project in terms of its scope, time, and cost goals.

Also describe other impacts on a project, such as quality, resources, and risks.

Discuss what went right and wrong on the project and the role of the project manager and sponsor.

Be sure to describe whether the project was a success, and why.

Include at least one reference and cite it on the last page. 500 words 

Data analytics

  

1 Financial Condition of Banks. The file Banks.csv includes data on a sample of 20 banks. The “Financial Condition” column records the judgment of an expert on the financial condition of each bank. This outcome variable takes one of two possible values—weak or strong—according to the financial condition of the bank. The predictors are two ratios used in the financial analysis of banks: TotLns&Lses/Assets is the ratio of total loans and leases to total assets and TotExp/Assets is the ratio of total expenses to total assets. The target is to use the two ratios for classifying the financial condition of a new bank. Run a logistic regression model (on the entire dataset) that models the status of a bank as a function of the two financial measures provided. Specify the success class as weak (this is similar to creating a dummy that is 1 for financially weak banks and 0 otherwise), and use the default cutoff value of 0.5. 

a. Consider a new bank whose total loans and leases/assets ratio = 0.6 and total expenses/assets ratio = 0.11. From your logistic regression model, estimate the following four quantities for this bank (use R to do all the intermediate calculations; show your final answers to four decimal places): the logit, the odds, the probability of being financially weak, and the classification of the bank (use cutoff = 0.5). 

b. The cutoff value of 0.5 is used in conjunction with the probability of being financially weak. Compute the threshold that should be used if we want to make a classification based on the odds of being financially weak, and the threshold for the corresponding logit. 

c. When a bank that is in poor financial condition is misclassified as financially strong, the misclassification cost is much higher than when a financially strong bank is misclassified as weak. To minimize the expected cost of misclassification, should the cutoff value for classification (which is currently at 0.5) be increased or decreased?

2. Competitive Auctions on eBay.com. The file eBayAuctions.csv contains information on 1972 auctions transacted on eBay.com during May–June 2004. The goal is to use these data to build a model that will distinguish competitive auctions from noncompetitive ones. A competitive auction is defined as an auction with at least two bids placed on the item being auctioned. The data include variables that describe the item (auction category), the seller (his or her eBay rating), and the auction terms that the seller selected (auction duration, opening price, currency, day of week of auction close). In addition, we have the price at which the auction closed. The goal is to predict whether or not an auction of interest will be competitive. Data preprocessing. Create dummy variables for the categorical predictors. These include Category (18 categories), Currency (USD, GBP, Euro), EndDay (Monday–Sunday), and Duration (1, 3, 5, 7, or 10 days). 

a. Create pivot tables for the mean of the binary outcome (Competitive?) as a function of the various categorical variables (use the original variables, not the dummies). Use the information in the tables to reduce the number of dummies that will be used in the model. For example, categories that appear most similar with respect to the distribution of competitive auctions could be combined.

b. Split the data into training (60%) and validation (40%) datasets. Run a logistic model with all predictors with a cutoff of 0.5. c. If we want to predict at the start of an auction whether it will be competitive, we cannot use the information on the closing price. Run a logistic model with all predictors as above, excluding price. How does this model compare to the full model with respect to predictive accuracy? 

d. Interpret the meaning of the coefficient for closing price. Does closing price have a practical significance? Is it statistically significant for predicting competitiveness of auctions? (Use a 10% significance level.) 

e. Use stepwise selection (use function step() in the stats package or function stepAIC() in the MASS package) and an exhaustive search (use function glmulti() in package glmulti) to find the model with the best fit to the training data. Which predictors are used? 

f. Use stepwise selection and an exhaustive search to find the model with the lowest predictive error rate (use the validation data). Which predictors are used?