Applications of a stochastic model , Software Engineering

Aims: The aims of this report are to enable you to explore the background, motivations, history,  development and/or applications of one of the stochastic models.   You may choose any of the models or aspects of a model. You may choose to research any aspects of its development, the researchers involved, applications, extensions, etc.

Resources:  You may reference papers, websites, or books. You should  have at least  five references.

Brief outline: Specifically, you are required to choose, describe and discuss some aspects of how a selected stochastic model developed, and how these developments were motivated by, and/or affected, applications or theoretical developments.

You could include in your report some of the following:

  • describe and discuss the background to the model - how it came about. What drove its development - practical problems, changes in thinking in another discipline? Linking a number of problems or applications?
  • consider who were involved in the developments - what did they do or develop that was of significance, and who did they work or link with?
  • consider if there was any controversy either in the statistical development itself or in its application?
  • and what impact did it have? Did it lead to further developments? How does it fit with other models, theory or applications?

The above are just suggestions that may help you find your own ideas. Your report must have an introduction and references; apart from these, you may choose to use sections according to your taste.

Criteria

The criteria for assessment can be thought of in three components:

  • evidence of thoughtful reading/exploration
  • evidence of understanding the significance, impact and motivations for theoretical developments , applications and relationships with other models, theory or disciplines
  • clear, well-structured reporting and referencing.

Do not be too ambitious, and do not think that you need to follow, understand or give details of sophisticated statistical concepts or techniques.

Posted Date: 2/26/2013 1:15:22 AM | Location : United States







Related Discussions:- Applications of a stochastic model , Assignment Help, Ask Question on Applications of a stochastic model , Get Answer, Expert's Help, Applications of a stochastic model Discussions

Write discussion on Applications of a stochastic model
Your posts are moderated
Related Questions
Hardware Requirements: INMAGIC Plus software package requires the following computer configuration:  i)  Micro : IBM PC or compatible with a minimum 640 K RAM.  ii)  Ope

Q. Explain about Integration testing? Integration testing: The primary objective of integration testing is to test the module interfaces, i.e. there are no errors in the para

Question 1 What is MASM? Explain its features Question 2 Explain the significance of Lexical analysis and Syntax analysis Question 3 What are macros and macro processors

Within the discussion board area, respond to the following questions with your thoughts, ideas, and comments. This will be the foundation for future discussions by your fellow clas

Automated testing is a formally specified and controlled method of formal testing approach. or That part of software testing that is assisted with software tool(s) that does

i want to make a case study of any topic of SRS but i am little confuse about SRS plz give me Idea how to work in SRS and how to select a model

What are the Related data items Related data items captures details of related attributes. Range of values store total possible values of that data. Data structure definition c

What does Level0 DFD means? Level0 DFD is called as 'fundamental system model' or 'context model'. In the context model the total software system is represented by a single bub

Why does the software design improve when  we use object-oriented concepts?    The software design improves when we use object-oriented concepts because 1. Object-orientatio

Explain about the incremental model. Have same phases as the waterfall model. Phases are Analysis. Design. Code. Test. Incremental model deliver