Conduct a SWOT analysis of your technology integration. This analysis should cover the four (4) categories – Strengths, Weaknesses, Opportunities, and Threats. You will submit this analysis with your paper.
A SWOT analysis provides a clear baseline regarding the strengths, weaknesses, opportunities, and threats of your chosen technology. There are many templates available online that you might wish to research before beginning your analysis work. Education World has a very short article that may also help to organize your thoughts: http://www.educationworld.com/a_admin/greatmeetings/greatmeetings018.shtmlhttp://www.educationworld.com/a_admin/greatmeetings/greatmeetings018.shtml.
write a five page paper to address the following:
Provide an Introduction in which you present the scope of your analysis and how the two technologies you have selected work together to enhance the learning environment. (Note: Place this at the beginning of the paper as the Introduction.)
Provide a short description in one or two (1 or 2) paragraphs, of a class or module to frame your SWOT analysis. As you move through the analysis, keep in mind that your selected technologies must help to support instructional goals and learning outcomes.
Using each portion of your SWOT analysis, include three to five (3-5) examplesof how your technologies provide strengths, weaknesses, opportunities, or threats. You must support these examples with clear rationale and research. These are NOT to be written as simple bullet points without detailed information.
Provide a hypothetical timeline (of between six  months and a year) for the project development and implementation.
Provide a summary of the main points of your analysis and at least three (3) recommendations for the implementation of the new technologies in a summary paragraph.
Provide at least five (5) peer-reviewed references, published in the last three (3) years.
Techniques For SOLVING LARGE SYSTEMS OF LINEAR SIMULTANEOUS EQUATIONS Task DESCRIPTION Direct frameworks reproduce genuine issues utilizing connected numerical technique. The principle point of this undertaking is to consider what factors influence the proficiency of the different strategies for explaining straight synchronous conditions. Up until now, one of the fundamental elements is adjusting mistakes that can deliver mistaken arrangements. Also, MATLAB programs have been created to time the count speed to decide the proficiency of the techniques. By and large, these strategies are subdivided into two; immediate and iterative techniques. Coordinate strategies are usually used to illuminate little frameworks of conditions. The iterative strategies are utilized to tackle true issues that create frameworks of conditions for which the coefficient lattices are inadequate. The pertinence of concentrate these strategies have its certifiable applications. This present reality applications can be seen in different fields, for example, science and building, bookkeeping and back, business administration and in operational research. The approach gives a coherent system to settling complex choices in an extensive variety of ventures. The favorable position is that, choices are established on information examination. Preservationists and meteorologists may utilize vast frameworks of synchronous direct conditions to anticipate future results. For example, to foresee climate examples or environmental change, an expansive volume of information is gathered over a long traverse of time on numerous factors including, sun oriented radiation, carbon emanations and sea temperatures. Ruler Mary University of London (2015). This information is spoken to as a progress lattice that must be push diminished into a likelihood network that would then be able to be utilized as a part of the expectation of environmental change. The target of a venture is to expand returns while keeping up least expenses. Though the utilization of extensive frameworks of concurrent direct conditions may give a premise to prove based business basic leadership in an undertaking, it is essential to know which straight frameworks are most proper keeping in mind the end goal to limit unwanted results for an endeavor. Venture REPORT OUTLINE Part 1 Presentation Expansive frameworks of direct concurrent conditions are utilized to reproduce true issues utilizing connected numerical method. This present reality applications can be seen in different fields, for example, science and designing, bookkeeping and back, business administration. The approach gives a consistent structure to understanding complex choices in an extensive variety of enterprises. The preferred standpoint is that choices are established on information examination. The point of this venture is to investigate the productivity of a substantial frameworks of straight concurrent conditions in the ideal basic leadership of an endeavor. Part 2 Coordinate Methods: Gaussian Elimination and LU Factorisation Coordinate techniques for understanding direct synchronous conditions are presented. This part will take a gander at the Gaussian Elimination and LU Factorisation strategies. Gaussian Elimination includes speaking to the synchronous conditions in an increased shape, performing basic column activities to decrease the upper triangular frame lastly back substituting to shape the arrangement vector. LU Factorisation then again is the place a network A finds a lower triangular grid L and an upper triangular lattice U with the end goal that A = LU. The reason for this lower triangular network and upper triangular framework is so that the forward and in reverse substitutions can be specifically connected to these grids to acquire an answer for the direct framework. An activity check and figuring times utilizing MATLAB is computed in order to decide the best strategy to utilize. Part 3 Cholesky Factorisation Prologue to the Cholesky technique. This is a method whereby the grid An is factorized into the result of a lower triangular lattice and its transpose; the forward and in reverse substitutions can be straightforwardly connected to these networks to acquire an answer. A MATLAB program is composed to register timings. A conclusion can be drawn by looking at the three strategies and figuring out which is the most appropriate technique that will deliver the most exact outcome and in addition take the briefest processing time. Part 4 Iterative Methods: Jacobi Method and Gauss-Seidel This part will present the iterative strategies that are utilized to comprehend direct frameworks with coefficient grids that are vast and meager. The two strategies include part the lattice An into bring down triangular, corner to corner and upper triangular grids L, D, U separately. The fundamental contrast comes down to the manner in which the x esteems are computed. The Jacobi technique utilizes the past x esteems (n) to compute the following iterated x esteems (n+1). The Gauss-Seidel utilizes the new x esteem (n+1) to ascertain the x2 esteem. Section 5 Progressive Over Relaxation and Conjugate Gradient Other iterative strategies are presented. The Successive Over Relaxation strategy over unwinds the arrangement at every cycle. This strategy is ascertained utilizing the weighted total of the qualities from the past emphasis and the qualities frame the Gauss-Seidel technique at the present cycle. The Conjugate Gradient technique includes enhancing the approximated estimation of xk to the correct arrangement which might be come to after a limited number of cycles normally littler than the measure of the grid. Part 6 Conclusion All the venture discoveries and results are abridged in this part. Conclusion can be produced using both direct strategies and iterative techniques whereby the most exact strategy with the briefest figuring time can be found. Disadvantages from every technique will be said also its appropriateness for taking care of genuine issues. Advance TO DATE The undertaking to date has secured the immediate strategies for explaining synchronous conditions. Gaussian Elimination This includes speaking to the concurrent conditions in an increased shape, performing rudimentary line activities to decrease the upper triangular frame lastly back substituting to shape the arrangement vector. For instance, to illuminate a mxn grid: Hatchet = b The point of the Gaussian end is to control the expanded grid [A|b] utilizing basic column activities; by including a different of the turn lines to the lines underneath the rotate push i.e. Riâ€¬â€¬â€¬â€¬ïƒ Ri +kRj. Once the expanded framework is in the column echelon shape, the arrangement is discovered utilizing back substitution. The accompanying general framework condition has been lessened to push echelon shape:>GET ANSWER