Computational Mathematics
Issued by
Farmingdale State College
The Computational Mathematics microcredential provides a solid foundation in computational and applied mathematics. Earners of this microcredential will demonstrate a mastery of the concepts and tools necessary to mathematical modeling, computational methods, and simulations using computer algebra systems. This microcredential equips students with the necessary skills to enter or advance their professional career in fields such as algorithm design, software development, and related fields.
Earning Criteria
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To achieve the Data Analytics microcredential, students will complete 3 required courses totaling 9 credits. This coursework will include MTH 270: Introduction to Mathematical Computing (3 credits), MTH 422: Numerical Methods (3 credits), and MTH 400: Problem Solving Seminar (3 credits). Students must meet the pre-requisites for each of the courses and earn a grade of B or higher in MTH 270, MTH 422, and MTH 400 (pre-requisites listed below).
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Pre-requisite coursework for the microcredential includes: MTH 151 with a grade of C or higher of permission of the department as a pre-requisite for MTH 270, MTH 145 and MTH 245 as a pre-requisite for MTH 422, and MTH 252 or MTH 245 or MTH 250 or MTH 253 as a pre-requisite for MTH 400.
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In MTH 400, students will be required to work on a major research project under the guidance of an instructor and will present their results to the department at the end of the semester, and the adequacy of this final project will be evaluated by the microcredential advisor.