Reference no: EM133015129
MFA501 Mathematical Foundations of AI
Learning Outcome 1: Formulate key mathematical concepts used in Artificial Intelligence.
Learning Outcome 2: Apply mathematical techniques in manipulating large data sets, and in designing and analysing experimental work in AI.
Learning Outcome 3: Use standard mathematical notations and terminologies in statistics, probabilities, linear algebra, vectors, matrixes, differential calculus, and logical reasoning.
Learning Outcome 4: Compute accurately standard computations in statistics, probabilities, linear algebra, vectors, matrixes and differential calculus.
Task Summary
In this assessment, you will be given a wide range of programming exercises to complete, which require using and applying mathematical concepts.
Context
This assessment activity assesses your skills in employing AI mathematical foundation to solve real- world problems and scenarios. The assessment is made of two parts due in modules 6 and 10 over the course of trimester.
Task Instructions
• The programs that you submit should be free of warnings and errors.
• You need to submit the source code and the executable format.
o Name the source code folder as:
MFA501_Assessment2_Week6_LastName_FirstName.zip
o MFA501_Assessment2_Week10_LastName_FirstName.zip
• Your code should be structured and written with the best practices in the field of programming.
• There should be enough number of comments in the source files to show your understanding of the program. Any third-part code should be appropriately attributed.
After implementation and testing your programs, write a reflective report detailing the experience of the development process. The report needs to be at least 500 words in length and include the following sections:
• Overview
• Justifications and elaborations on the mathematical approaches and models used to solve the cases study
• Justifications and elaborations on the programing methods and practices used to implement the mathematical approaches and models
• What went right
• What went wrong
• What you are not sure about
• Conclusion
Your problem sets should include the following elements and should be zipped prior to submission:
• Release Build Zip: A release build executable must be zipped and included with the submission. Ensure that project settings are set to Release when creating this build.
• Source Code Zip: All relevant source code files and project files must be zipped and included with the submission
Attachment:- Mathematical Foundations of AI.rar
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