Data Science Project Report - System Development and Analysis

This report presents a comprehensive analysis of a Data Science project, focusing on redundant relationships, system development, and various modeling techniques. The report begins by defining and explaining redundant relationships within a network, including how they can lead to unnecessary computation and congestion. It then explores different modeling techniques, such as task analysis and user modeling, highlighting their importance in understanding and improving system performance. The report also discusses system development processes, emphasizing the need for a lean and flexible approach. It references relevant academic sources to support its findings. The project explores the relationships between different elements, including the use of Scrum to manage complexity, and the importance of continuous improvement in the development process. This report provides a detailed overview of the subject matter, offering valuable insights for students studying data science and related fields.

PROJECT 2&3

Table of Contents
Question 1........................................................................................................................................1
Question 2........................................................................................................................................1
Question 3. System development.....................................................................................................4
REFERENCES................................................................................................................................5

Question 1
Redundant relationship: A redundant relationship is a relationship in which one activity
successors has a same relationship with a less free floating relationship (Moisen and Frescino,
2002). They are the unnecessary logic in a network due to which an unnecessary computation,
congestion and confusion is caused in a network diagram. It is very difficult to find out a
redundant relationship visually, to find out these relationship in a model various commercial
software are available. The main concept to find out redundant relationship is to determine a
successors of eve activity, then it should find out a successor of that successor, and if any
duplicate is found between those two successors than that would be a redundant relationship.
Illustration 1: (Source: Redundant relationship, 2019)
1

Question 2
There are some modelling techniques described as below:
2

Task analysis
This technique helps in analysing the phenomenon of task and projects. The facts and the
aspects remains same for long term process such as cognitive load, place and orders and
valuation process. The user defined goals, operations and the procedures remains cited with
computer technologies ad pointers.
User modelling
This model captures the devise models and that remain integrated with problems. The
reasonable perform helps to correlate the decisions with analysis. Interactive decisions taken by
implying mathematical equivalents and methods.
Problems with modelling
It is evaluated that the business model with analyst are evaluated with abstracting the
knowledge and importance. Modelling intends towards abstract are considered hight skilled and
consistent activities. The system helps in determining the changes with various sections. A
prediction with formative usability with determining the formats with redundant relations.
Interactive device modelling
3

A few systems have taken existing programming details and examined them 'from the
clients' perspective'. A great deal of work went into proposing ease of use properties and
afterwards formalizing numerical reciprocals of them. As such the examiner takes a model of the
intuitive gadget, which is normally created as a feature of the structure procedure, and
investigations it for 'ease of use properties'.
Question 3. System development
It is considered as a consistent approach helps in making the process lean and flexible. A
significant aspect is required to point out in this methodology is to determine the politics in
various sections (Williams, 2013). This system exemplifies the idea of dynamic strength which
can be thought of as like how Scrum grasps controlled disarray. Bounce Charette, the originator,
composes that the quantifiable objective of LD is to manufacture programming with 33% the
human exertion. The process helps in managing the sections with unfiled programs and
methodologies. The suitable sources and policies helps in considering the changes in various
forms. The advancement procedure itself can be improved and refined en route. The evaluation
toward the finish of emphasis not just takes a gander at the status of the undertaking from an item
4

or calendar point of view, yet in addition examines what ought to be changed in the association
and in the process to influence it to perform better in the following cycle.
5

REFERENCES
Books and Journals:
Moisen, G. G. and Frescino, T. S., 2002. Comparing five modelling techniques for predicting
forest characteristics. Ecological modelling. 157(2-3). pp.209-225.
Williams, T. M. ed., 2013. Managing and modelling complex projects (Vol. 17). Springer.
6