Project Deliverable 2: Business RequirementsDue Week 4 and worth 150 pointsThis assignment consists of two (2) sections: a business requirements document and a Gantt chart or project plan. You must submit both sections as separate files for the completion of this assignment. Label each file name according to the section of the assignment for which it is written. Additionally, you may create and / or assume all necessary assumptions needed for the completion of this assignment.Procuring quality business requirements is an important step toward the design of quality information systems. Completion of a quality requirements document allows user needs and expectations to be captured so that infrastructure and information systems can be designed properly. Using the requirements document provided in the course shell, you are to speculate on the needs of the company. You must consider current and future requirements; however, assumptions should be realistic and carefully considered.Section 1: Business Requirements Document1. Write an eight to ten (8-10) page original business requirements document for the project plan using the template provided. Note: The template can be found in the Student Center of the online course shell.a. Describe the project including the following:i. Describe the scope and analyze how to control the scope.ii. Identify possible risks, constraints, and assumptions.iii. Describe the integration with other systems and infrastructure. Note: Database and interface design, security, and networking should be considered.iv. Define relevant terms that will be used throughout project.b. Use at least two (2) quality resources in this assignment. Note: Wikipedia and similar Websites do not qualify as quality resources.Your assignment must follow these formatting requirements:Be typed, double spaced, using Times New Roman font (size 12), with one-inch margins on all sides; citations and references must follow APA or school-specific format. Check with your professor for any additional instructions.Include a cover page containing the title of the assignment, the student’s name, the professor’s name, the course title, and the date. The cover page and the reference page are not included in the required assignment page length.Section 2: Revised Gantt Chart / Project PlanUse Microsoft Project or an open source alternative, such as Open Project, to:2. Update the Gantt chart or project plan (summary and detail) template, from Project Deliverable 1: Project Plan Inception, with all the project tasks.The specific course learning outcomes associated with this assignment are:Apply integrative information technology solutions with project management tools to solve business problems.Use technology and information resources to research issues in information technology.Write clearly and concisely about strategic issues and practices in the information technology domain using proper writing mechanics and technical style conventions.

For our DB work this term, we are going to focus on "10 Common Oversights in Project Risk Management" Here is our chance to discuss why these oversights occur, the impact to the project and what actions we can take as a project manager to address them. Consider the oversight "Lack of a risk management plan". Why might this occur and what are the challenges/problems/ issues created because of it? APA format, External references, should be no longer than 200 words 10 Common Oversights in Project Risk Management Lack of a risk management planRisk event is not identified (but, rather the assumption, constraint, impact)Appropriate stakeholders are not involved in risk processRisk identification is limited to project scope, schedule, budgetRisks are not communicated to stakeholders (same for risk response plan)–buy-in is not obtainedRisk response plan is not used/ kept up to dateRisk response plan is not integrated with the rest of the planning deliverablesThinking “It is out of my control so I can’t/won’t do anything about it”Risk response plan is not analyzed for benefit versus cost (s)Risk response plans tend to be reactive vs. proactive

In this assignment you will create a calculator for performing matrix operations that exploits the (expected) sparseness of it’s matrix operands. An 𝑛 × 𝑛 square matrix is said to be sparse if the number of non-zero entries (abbreviated NNZ) is small compared to the total number of entries, 𝑛 2 . The result will be a Java program capable of performing fast matrix operations, even on very large matrices, provided they are sparse. Given 𝑛 × 𝑛 matrices A and B, their product 𝐶 = 𝐴 ⋅ 𝐵 is the 𝑛 × 𝑛 matrix whose 𝑖𝑗th entry is given by 𝐶𝑖𝑗 = ∑ 𝐴𝑖𝑘 𝑛 𝑘=1 𝐵𝑘𝑗. Thus the element in the i th row and j th column of C is the vector dot product of the i th row of A with the j th column of B. If we consider addition and multiplication of real numbers to be our basic operations, then the above formula can be computed in time Θ(𝑛 3 ), which is impractical for matrix sizes n of more than a few thousand. If it so happens that A and B are sparse, then a great many of these arithmetic operations involve adding or multiplying by zero, hence are unnecessary. The sum S, and difference D, of A and B are the 𝑛 × 𝑛 matrices having 𝑖𝑗th entries: 𝑆𝑖𝑗 = 𝐴𝑖𝑗 + 𝐵𝑖𝑗 and 𝐷𝑖𝑗 = 𝐴𝑖𝑗 − 𝐵𝑖𝑗 The scalar product of a real number x with A is denoted 𝑥𝐴, and has 𝑖𝑗th entry (𝑥𝐴)𝑖𝑗 = 𝑥 ⋅ 𝐴𝑖𝑗. The transpose of A, denoted 𝐴 𝑇 , is the matrix whose 𝑖𝑗 𝑡ℎ entry is the 𝑗𝑖 𝑡ℎ entry of A: (𝐴 𝑇 )𝑖𝑗 = 𝐴𝑗𝑖. In other words, the rows of A are the columns of 𝐴 𝑇 , and the columns of A are the rows of 𝐴 𝑇 . Each of these operations can be computed in time Θ(𝑛 2 ), and just as for multiplication, their cost can be improved upon significantly when A and B are sparse. As one would expect, the cost of a matrix operation depends heavily on the choice of data structure used to represent the matrix operands. There are several ways to represent a square matrix with real entries. The standard approach is to use a 2-dimensional 𝑛 × 𝑛 array of doubles. The advantage of this representation is that all of the above matrix operations have a straight-forward implementation using nested loops. This project will use a very different representation however. Here you will represent a matrix as a 1-dimensional array of Lists. Each List will represent one row of the Matrix, but only the non-zero entries will be stored. Therefore List elements must store, not just the matrix entries, but the column index in which those entries reside. For example, the matrix below would have the following representation as an array of Lists. 𝑀 = [ 1.0 0.0 2.0 3.0 0.0 0.0 0.0 4.0 5.0 ] Array of Lists: [ 1: (1,1.0) (3,2.0) 2: (1,3.0) 3: (2,4.0) (3,5.0) This method obviously results in a substantial space savings when the Matrix is sparse. In addition, the standard matrix operations defined above can be performed more efficiently on sparse matrices. As you will see though, the matrix operations are much more difficult to implement using this representation. The trade-off then, is a gain in space and time efficiency for sparse matrices, at the expense of more complicated algorithms for performing standard matrix operations. Designing these algorithms in terms of our List ADT operations will constitute the majority of the work you do on this assignment. It will be necessary to make some minor changes to your List ADT from pa1. First you must convert your List ADT from a List of ints to a List of Objects. This entails changing certain field types, declaration statements, method parameters, and return types from int to Object. The Objects referred to by these List elements will be defined in the Matrix ADT specified below. Second, it will be necessary to eliminate the List operations copy() and cat() (which was optional anyway.) All other List operations from pa1 will be retained. The equals() operation however will be altered slightly so as to override, rather than overload Object's built in equals() method. This is done by changing it's signature from boolean equals(List L), as in pa1 to public boolean equals(Object x), which is it's signature in the superclass Object. Indeed, all equals() methods in this project should carry this same signature. File Formats The top level client module for this project will be called Sparse.java. It will take two command line arguments giving the names of the input and output files, respectively. The input file will begin with a single line containing three integers n, a and b, separated by spaces. The second line will be blank, and the following a lines will specify the non-zero entries of an 𝑛 × 𝑛 matrix A. Each of these lines will contain a space separated list of three numbers: two integers and a double, giving the row, column, and value of the corresponding matrix entry. After another blank line, will follow b lines specifying the non-zero entries of an 𝑛 × 𝑛 matrix B. For example, the two matrices