Cdo Evaluator Download

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Knowledge Evaluator is a software development project in Java. It can be used by colleges and universities to conduct exams or tests of computer science and computer engineering students in different software/programming languages. The main aim of this software is to calculate grades achieved by the students in a short period of time and also save time and paper work of the faculty in conducting tests.

In this post, I have briefly compared the existing system with the proposed knowledge evaluator software system. How the software works and system specifications have been introduced in brief. Their detailed description can be found in the project report. You can download the complete Java source code, project report and documentation from the download links in this post.

Download Knowledge Evaluator Software Java Project with Source Code and project report

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Download Knowledge Evaluator Software Java Projectwith Source Code and Project Report

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About Knowledge Evaluator Software:

“Knowledge Evaluator” works with a predefined patterns and techniques so as to provide perfect evaluation of knowledge of the registered users. User registers himself/herself to Knowledge Evaluator System, and gets a unique id onto which they use their respective account for giving test and evaluating themselves. Experts register and upload questions and answers for the test.

Existing System:

Here are some of the limitations of the existing knowledge evaluation system:

  • Inefficient in maintaining documents (evaluation sheets).
  • Time consuming in searching & preparing documents like combined evaluated report.
  • Redundancy of data.
  • Security problems of data and documents like registration data, test data, and result data.
  • Calculations are difficult and time-consuming.
  • Reports are generated manually.

Proposed System:

Listed below are the scopes of this software:

  • Registration and log in.
  • Maintaining registration data.
  • Generation and maintenance of test.
  • Generation of result or evaluation sheets.
  • Providing search options.
  • Storing the evaluated data.

The proposed knowledge evaluator software project aims at providing security, storing records of each and every test and handling more user. It provides easy search of user and their evaluated marks. Further, it is time saving in scheduling test, and proves to be very economical overall.

How knowledge evaluator software works:

S&p

There are three users in this software: administrator, student and faculty. All three users are provided with registration forms; the registration will give them access to the system unique username and password for each user. Faculty prepares questions to conduct tests and the questions are updated to the database by the administrator.

Students will have option to select the computer test language of their choice from the select field screen. The languages include C++, VB.NET, Java, C#, etc. After that, students face random questions with four options for each questions; the answers are selected by entering the right answer by submit button. After the test, grades received by each student are automatically generated.

Software Development Environment:

The software system is implemented in Client-Server environment and the data is maintained by dedicated knowledge server. Each request from clients are processed according to access rights.

Hardware/Software Requirements on Server Side:

  • Operating System: Windows ME, Windows 2003 Server, Windows 2000NT.
  • Processor: Pentium 4.0 GHz or higher
  • RAM: 4 GB or more
  • Hard Drive: 800 GB or more
  • Software: JDK 1.6.0
  • Data Base: SQL Server.
  • Network Equipment: 8 port HUB.
  • Network Cable: Unshielded twisted-pair (UTP) CAT 3/4/5.
  • Topology: BUS.
  • Monitor i.e. LCD or Desktop.
  • 120 key’s keyboard (English only).
  • Scanner, Printer, Mouse.

Hardware/Software Requirements on Client Side:

  • Operating System: Windows 9x or above.
  • Processor: Pentium IV or 2.0 GHz or higher.
  • RAM: 1 GB or more.
  • Front-End: JDK 1.6.0
  • Back-End: SQL.
  • 120 Key’s Keyboard (English Only).
  • Monitor i.e. LCD or Desktop.
  • Mouse.

Screenshots:

Also see,
Data Visualization Software
Mail Server System
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Standard And Poor's Cdo Evaluator Download

Conclusion:

There are many rooms for improvements and enhancements in this software. Currently, it provides a concise results to users after evaluating what they know. The scope of knowledge evaluator software project can be enlarged by incorporating Web-based processing in it. Also, various other fields can be added to enrich the database of this proposed software.

Author's Biography

Cdo Evaluator S&p

Roberto Torresetti is responsible for the synthetic structured credit derivatives business at BBVA. He was previously a senior credit derivatives modeller at Banca IMI and equity derivatives analyst at Lehman Brothers. He was also a quantitative fund manager at San Paolo IMI Asset Management. He holds a bachelor’s degree in economics from Università Bocconi in Milan and completed his MA in economics at Università Bocconi and MS in financial mathematics at the University of Chicago.

Damiano Brigo obtained a PhD in stochastic filtering with differential geometry from the Free University of Amsterdam, following a BSc in mathematics from the University of Padua. Since July 2007, he has been Managing Director and Global Head of the Quantitative Innovation team at Fitch Solutions, London. He is also currently Visiting Professor at the Department of Mathematics at Imperial College, London. He is author of the book ‘Interest Rate Models: Theory and Practice’ (Springer-Verlag), and his academic and practitioner-oriented articles have been published in financial modelling, probability and systems theory journals. Damiano is Managing Editor of the International Journal of Theoretical and Applied Finance.

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Andrea Pallavicini has a degree in astrophysics and a PhD in theoretical and mathematical physics from the University of Pavia. He is currently Head of Financial Engineering at Banca Leonardo in Milan. Over the years, he has written a number of academic and practitioner-oriented articles on financial modelling, theoretical physics and astrophysics. He has taught master’s courses in finance at the universities of Pavia and Milan. His main contributions in finance concern dynamical loss models, risk-neutral evaluation of counterparty risk, smile modelling in the swaption market, and pricing of exotic equity and/or interest-rate derivatives.