Reference no: EM133870654 , Length: word count:1500
Algorithms and Data Structures
Assessment - Process Map - Programming and Implementation
Task
This assessment is to be completed individually. In this assessment, you will create a comprehensive process map in the form of a step-by-step guide that outlines the programming and implementation of data structures and abstract data types. Get in touch with us for online assignment help service!
Assessment Description
Create a comprehensive process map in the form of a step-by-step guide that outlines the programming and implementation of data structures and abstract data types. The process map should cover advanced techniques and methodologies. It should demonstrate your ability to analyse the programming aspects of data structures and abstract data types, as well as highlight your understanding of estimating algorithmic complexity. The guide should provide detailed instructions, considerations, and best practices for programming and implementing data structures and abstract data types.
Learning outcome 1: Analyse the programming of data structures and the implementation of abstract data types.
Learning outcome 2: Demonstrate how to estimate algorithmic complexity.
Assessment Instructions
Students must conduct research externally and included references to produce a well referenced assessment. You should use at least ten (10) sources of information and reference these in accordance with the Kaplan Harvard Referencing Style. These may include websites, social media sites, industry reports, census data, journal articles, and newspaper articles. These references should be presented as in-text citations and a referencing list at the end of your assessment (not included in the word limit). Wikipedia and other ‘popular' sites are not to be used.
You must submit your report in Word document or in PDF format.
The process map should be presented as a step-by-step guide in a clear and visually appealing format.
It should cover the major stages involved in programming data structures and implementing abstract data types.
Each step should be described in-depth, including specific programming techniques, design principles, and implementation strategies.
Include considerations for efficiency, scalability, and flexibility in the programming and implementation process.
Explain how to estimate algorithmic complexity using appropriate techniques such as Big O notation or time complexity analysis.
The process map should be logically organized, ensuring smooth flow and easy comprehension.
Demonstrate your analytical skills in analysing the programming aspects and algorithmic complexity estimation.
Provide best practices and recommendations for each step of the process.