MFA501 Assessment 3 | My Assignment Tutor


MFA501 Assessment 3 Brief Project Module 12 Page 1 of 4Task SummaryThe second assessment allowed you to show your understanding on how to choose the correct AImethod to solve simple case studies. Assessment 3 has been designed to assess your ability inchoosing and using the best AI methods to solve larger and more challenging problems. The AImethod that you will be using is more challenging to implement as compared to those in the secondassessment. Solving real-world problems using AI techniques requires more sophisticated skills, andyou will demonstrate these in this assessment.Your subject facilitator will provide you with the scenario/topic/focus for this assessment during thefirst few weeks of this subject. Regardless of the content that will be provided, you will have to firstunderstand the problem and formulate it in a suitable manner for AI techniques. The next step is tochoose the correct AI method to solve the problem. As a part of development, you have to test andanalyse the performance of the AI technique to ensure that it gives optimal results. In summary, youwill be required to program an AI method, solve a problem using it, and write a reflective report. ASSESSMENT 3: PROJECT BRIEFSubject Code and TitleMFA501AssessmentAssessment 3: Solve an AI Problem setIndividual/GroupIndividualLengthProject and supporting documentLearning OutcomesThe Subject Learning Outcomes demonstrated by successfulcompletion of the task below include:a) Formulate key mathematical concepts used in ArtificialIntelligence.b) Interpret and transmit standard mathematical notationsand terminologies in statistics, probabilities, linear algebra,vectors, matrices, differential calculus, and logicalreasoning.c) Compute accurately standard computations in statistics,probabilities, linear algebra, vectors, matrices anddifferential calculus.SubmissionDue by 11:55pm AEST Sunday end of Module 12 .Weighting40%Total Marks100 marks MFA501 Assessment 3 Brief Project Module 12 Page 2 of 4ContextFacilitator will advise you of the exact task you are required to complete during the first few weeksof the subject.Task InstructionsThe source code that you will be submitting should be free of build warnings, build errors, and allintermediate files (.obj, .pdb, etc), crashes, and errors (compile, run-time, logical, etc.). Your codeshould be structured and written with the best practices in the field of programming. There shouldbe enough number of comments in the source files to show your understanding of the program. Anythird-party code should be appropriately attributed.When you submit the electronic version of your project make sur to use the following names: Name the source code folder as: Source – Student Name Name the solution as: YourGameName.slnSubmission InstructionsYou are supposed to submit a ZIP file including: Release Build Zip: A release build executable must be zipped and included with thesubmission. 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 includedwith the submission Reflective report: PDF or Word Naming & File structure for the zip file.o MFA501_Assessment3_LastName_FirstName.zip Assessment3_Build_LastName_FirstName.zip Assessment3_Source_LastName_FirstName.zip Assessment3_report_LastName_Firstname.pdf Assessment3_ report _LastName_Firstname.docxMFA501 Assessment 3 Brief Project Module 12 Page 3 of 4Assessment Rubric AssessmentAttributesFail(Yet to achieveminimum standard)0-49%Pass(Functional)50-64%Credit(Proficient)65-74%Distinction(Advanced)75-84%High Distinction(Exceptional)85-100%Work demonstrates theknowledge andunderstanding of thebest mathematicalnotations andrepresentation methodsin AI for the case study35%Little or no use ofmathematical and/orproblem representationtechniquesThe implementation ismostly wrongAcceptable use ofmathematical and/or problemrepresentation techniques,but they are not the mostsuitable ones for the casestudy and the AI modelThe implementation is correctbut includes errors and flawsGood use of mathematicaland/or problemrepresentation techniques,but they are occasionallynot efficient for the casestudy and the AI modelThe implementation iscorrect but not done in anefficient mannerVery good use ofmathematical and/orproblem representationtechniques, but they areoccasionally not efficient forthe case study and the AImodelThe implementation isefficient but do not followthe best practices inprogramming and AIExcellent use ofmathematical and/orproblem representationtechniques, but they areoccasionally not efficient forthe case study and the AImodelExcellent implantationwithout any error using thebest practices inprogramming and AIWork demonstrates theknowledge andunderstanding of themost suitablecalculations methods inAI for the problem35%Little or no use ofmathematical methodsand techniquesThe implementation ismostly wrongThe AI methodimplemented does notgive correct resultsAcceptable use ofmathematical and/or problemrepresentation techniques,but they are not the mostsuitable ones for the casestudyThe implementation is correctbut includes errors and flawsThe AI method implementedoccasionally gives correctresultsGood use of mathematicaland/or problemrepresentation techniques,but they are occasionallynot efficient for the casestudyThe implementation iscorrect but no in an efficientmannerThe AI methodimplemented gives correctresults, but does not handleexceptional cases.Very good use ofmathematical and/orproblem representationtechniques, but they areoccasionally not efficient forthe case studyThe implementation isefficient but do not followthe best practices inprogramming and AIThe AI method implementedgives correct results andhandles exceptional cases,but it is not efficientExcellent use ofmathematical and/orproblem representationtechniques, but they areoccasionally not efficient forthe case studyExcellent implantationwithout any error using thebest practices inprogramming and AIThe AI methodimplemented is highlyefficient, gives correct MFA501 Assessment 3 Brief Project Module 12 Page 4 of 4 results, and handlesexceptional casesThe reflective essaydemonstrates theknowledge andunderstanding of thewhole process ofimplementing and usingthe mathematicalmodels and methods todevelop the AItechnique and solve thecase study.30%The reflective essayincludes no or littlesections and conceptsrequired. There is no orlittle elaborations orjustifications on the use ofthe mathematical modelsand methods to developthe AI technique and solvethe case studyThe reflective essay includessome of the sections andconcepts required. There islittle elaborations orjustifications to demonstratethe knowledge andunderstanding of the wholeprocess of implementing andusing the mathematicalmodels and methods todevelop the AI technique andsolve the case studyThe reflective essay includesall the sections andconcepts required.Elaborations andjustifications are good butnot enough to show theknowledge and thoroughunderstanding of the wholeprocess of implementingand using the mathematicalmodels and methods todevelop the AI techniqueand solve the case studyThe reflective essay includesall the sections andconcepts required.Elaborations andjustifications are very goodbut not thorough and indepth to demonstrate themastery of the wholeprocess of implementingand using the mathematicalmodels and methods todevelop the AI techniqueand solve the case studyThe reflective essay includesall the sections andconcepts required.Elaborations andjustifications are thoroughand show the mastery ofthe whole process ofimplementing and using themathematical models andmethods to solve the casestudy. The following Subject Learning Outcomes are addressed in this assessmentSLO a)Formulate key mathematical concepts used in Artificial Intelligence.SLO c)Interpret and transmit standard mathematical notations and terminologies in statistics, probabilities, linear algebra, vectors, matrices,differential calculus, and logical reasoning.SLO d)Compute accurately standard computations in statistics, probabilities, linear algebra, vectors, matrices and differential calculus.

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