Reference no: EM133035192
MFA501 Solve an AI Problem set - Laureate International Universities
Assessment: Solve an AI Problem set
Project and supporting document
Learning Outcome 1: Formulate key mathematical concepts used in Artificial Intelligence.
Learning Outcome 2: Interpret and transmit standard mathematical notations and terminologies in statistics, probabilities, linear algebra, vectors, matrices, differential calculus, and logical reasoning.
Learning Outcome 3: Compute accurately standard computations in statistics, probabilities, linear algebra, vectors, matrices and differential calculus.
Task Summary
The second assessment allowed you to show your understanding on how to choose the correct AI method to solve simple case studies. Assessment 3 has been designed to assess your ability in choosing and using the best AI methods to solve larger and more challenging problems. The AI method that you will be using is more challenging to implement as compared to those in the second assessment. Solving real-world problems using AI techniques requires more sophisticated skills, and you will demonstrate these in this assessment.
Your subject facilitator will provide you with the scenario/topic/focus for this assessment during the first few weeks of this subject. Regardless of the content that will be provided, you will have to first understand the problem and formulate it in a suitable manner for AI techniques. The next step is to choose the correct AI method to solve the problem. As a part of development, you have to test and analyse the performance of the AI technique to ensure that it gives optimal results. In summary, you will be required to program an AI method, solve a problem using it, and write a reflective report.
Context
Facilitator will advise you of the exact task you are required to complete during the first few weeks of the subject.
Task Instructions
The source code that you will be submitting should be free of build warnings, build errors, and all intermediate files (.obj, .pdb, etc), crashes, and errors (compile, run-time, logical, etc.). 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-party code should be appropriately attributed.
Learning Outcome 1: Formulate key mathematical concepts used in Artificial Intelligence.
Learning Outcome 2: Interpret and transmit standard mathematical notations and terminologies in statistics, probabilities, linear algebra, vectors, matrices, differential calculus, and logical reasoning.
Learning Outcome 3: Compute accurately standard computations in statistics, probabilities, linear algebra, vectors, matrices and differential calculus.
Attachment:- Solve an AI Problem set.rar