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It includes finance mathematics (interest, annuities, amortization), linear systems/matrices and linear programming, and probability with expected value.","Answer",{"name":66,"@type":61,"acceptedAnswer":67},"What are the prerequisites for enrolling in MATH 1324?",{"text":68,"@type":64},"Prerequisites include specified TSIA1 and TSIA2 scores and/or diagnostic scores, TSI-exempt status, successful completion of MATH 0320 with a grade of C or better, or successful completion of NCBM-0114.",{"name":70,"@type":61,"acceptedAnswer":71},"How are student learning outcomes assessed in this course?",{"text":72,"@type":64},"Pre- and post-test questions are used to determine the extent of student improvement during the semester. 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The applications include mathematics of finance, including simple and compound interest and annuities, systems of linear equations , matrices, linear programming, and probability, including expected value.  \nPrerequisite: Minimum score of 350 on the TSIA1, minimum score of 950 on the TSIA2, a diagnostic score of 6 on the TSIA2, TSI-exempt status, a successful completion with a grade of ‘C’ or better in MATH 0320, or successful completion of NCBM-0114.  \nCredit: 3 Lecture: 3 Lab: 1  \nTextbook: Mathematics for Business and Social Sciences, Kathryn Bollinger and Vanessa Coffelt, Texas A & M University, 2022. This is available as a free . pdf download for the student on Blackboard.  \nSupplies: Please see the instructor’s course information sheet for specific supplies.  \nThis course partially satisfies a Core Curriculum Requirement: Mathematics Foundational Component Area (020)  \nCore Curriculum Objectives addressed:  \n• Communications skills—to include effective written, oral and visual communication  \n• Critical thinking skills—to include creative thinking, innovation, inquiry, and analysis, evaluation and synthesis of information  \n• Empirical and quantitative competency skills—to manipulate and analyze numerical data or observable facts resulting in informed conclusions  \nStudent Learning Outcomes: Upon completion of this course and receiving a passing grade, the student will be able to:  \n1. Apply elementary functions, including linear, quadratic, polynomial, rational, logarithmic, and exponential functions to solving real-world problems.  \n2. Solve mathematics of finance problems, including the computation of interest, annuities, and amortization of loans.  \n3. Apply basic matrix operations, including linear programming methods, to solve application problems.  \n4. Demonstrate fundamental probability techniques and application of those techniques, including expected value, to solve problems.  \n5. Apply matrix skills and probability analyses to model applications to solve real-world problems.  \nStudent Learning Outcomes Assessment: Pre-and post-test questions will be used to  \ndetermine the extent of improvement that the students have gained during the semester. Course Evaluation: There will be departmental final exam questions given by all instructors.  \nAttendance/Student Engagement Policy: Attendance and engagement are the most critical activities for success in this course. The instructor maintains records of the student’s attendance and submission of assignments throughout the semester. The student is expected to attend at least eighty percent (80%) of the total class meetings and submit at least eighty percent (80%) of the total class assignments to have the best chance of success. If the student fails to meet these minimum requirements, the instructor may remove the student from the class with an X, upon their discretion, to help the student from harming their GPA. If the student cannot receive an X, the instructor will assign an F.  \nAcademic Integrity (Plagiarism and Cheating Policy): “Complete honesty is required of the student in the presentation of any and all phases of course work. This idea applies to quizzes of whatever length as well to final examinations, to daily reports, and to term papers”(SPC General Catalog) .  \nPlagiarism violations include, but are not limited to, the following:  \n1. Turning in a paper that has been purchased, borrowed, or downl","cbCaidUZtXhJ6AEv","https://ap.wps.com/l/cbCaidUZtXhJ6AEv","pdf",257601,"English","# Course Overview\n## Course Description and Credit\n## Prerequisites, Textbook, and Formats\n# Learning Outcomes and Assessment\n## Student Learning Outcomes\n## Assessment Methods\n# Policies and Requirements\n## Attendance/Student Engagement Policy\n## Academic Integrity and Plagiarism/Cheating\n## Student Code of Conduct and Official Statements","[{\"question\":\"What topics does MATH 1324 cover?\",\"answer\":\"The course applies algebraic functions (polynomial, exponential, logarithmic, and rational) to business, economics, and social science problems. It includes finance mathematics (interest, annuities, amortization), linear systems/matrices and linear programming, and probability with expected value.\"},{\"question\":\"What are the prerequisites for enrolling in MATH 1324?\",\"answer\":\"Prerequisites include specified TSIA1 and TSIA2 scores and/or diagnostic scores, TSI-exempt status, successful completion of MATH 0320 with a grade of C or better, or successful completion of NCBM-0114.\"},{\"question\":\"How are student learning outcomes assessed in this course?\",\"answer\":\"Pre- and post-test questions are used to determine the extent of student improvement during the semester. The course also includes departmental final exam questions given by all instructors.\"}]","South Plains College Common Course Syllabus - MATH 1324 - Mathematics for Business and Social Sciences | PDF",1791205324,18]