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MATH-M 118: Finite Mathematics Syllabus and Course Overview

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Course Overview

Introduction to Finite Mathematics

MATH-M 118: Finite Mathematics is a college-level course designed to fulfill the Statewide Analytical Reasoning Competency Domain. The course introduces students to foundational concepts in finite mathematics, emphasizing problem-solving, analytical reasoning, and mathematical communication. The course is structured to develop skills in set theory, combinatorics, probability, statistics, linear algebra, and related applications.

Course Topics

Key Mathematical Areas Covered

  • Set Theory: Understanding sets, Venn diagrams, and set operations.

  • Combinatorics: Permutations and combinations for counting and probability.

  • Probability: Simple and conditional probability, independence, Bayes' theorem, Bernoulli trials.

  • Statistics: Central tendency, expected value, standard deviation, and normal distributions.

  • Linear Algebra: Systems of equations, matrix algebra, and Markov chains.

  • Linear Programming: Optimization using systems of inequalities and the fundamental theorem of linear programming.

Prerequisites

Required Background

  • Students must have a sufficient background in algebra, demonstrated by an ALEKS placement score of 58 or higher or successful completion of prerequisite mathematics courses with a grade of C- or better within the last three terms.

Course Structure and Grading

Assessment Components

  • Final Exam: 20% of the course grade; comprehensive and covers major topics.

  • Tests: 60% of the course grade; four tests administered throughout the semester.

  • MyLab Math Homework: 10% of the course grade; online assignments for each textbook section.

  • MyLab Math Quizzes: 5% of the course grade; timed online quizzes for each section.

  • Active Engagement: 5% of the course grade; includes in-class activities and participation.

Grading Scale

Percentage

Letter Grade

98% and above

A+

92% - 97%

A

88% - 91%

A-

85% - 87%

B+

80% - 84%

B

77% - 79%

B-

73% - 76%

C+

68% - 72%

C

62% - 67%

C-

58% - 61%

D+

54% - 57%

D

50% - 53%

D-

Below 50%

F

Course Policies

Attendance and Participation

  • Regular attendance and active participation are required. Missing more than half of the required activities in the first 25% of the course may result in administrative withdrawal.

Calculator Policy

  • Only TI-30Xa or TI-30XIIS scientific calculators are permitted during quizzes and exams. All other electronic devices are prohibited during assessments.

Make-Up and Incomplete Policies

  • No make-up tests are allowed. The lowest test score (from Tests #1-4) may be replaced by the final exam score if it improves the overall grade.

  • Incompletes are granted only under exceptional circumstances and require departmental approval.

Student Learning Outcomes

Skills and Competencies Developed

  • Use the language and concepts of set theory, combinatorics, probability, statistics, linear equations, linear programming, matrix algebra, and Markov chains to solve problems.

  • Apply mathematical techniques such as Venn diagrams, permutations, combinations, probability calculations, tree diagrams, Bayes' formula, binomial probability, expected value, standard deviation, and matrix operations.

  • Analyze mathematical results for reasonableness and clearly explain solutions and interpretations.

Support and Resources

Academic Support

  • Instructor office hours and email support are available for questions and assistance.

  • Free tutoring and mentoring are offered through the Math Assistance Center (MAC).

Additional Campus Resources

  • Disability accommodations are available through Accessible Educational Services (AES).

  • Counseling and Psychological Services (CAPS) provide support for personal and academic challenges.

Academic Integrity

Expectations and Policies

  • Students are expected to uphold academic honesty and integrity. Academic misconduct includes cheating, fabrication, plagiarism, and violation of course rules.

  • Violations may result in penalties and disciplinary action according to university policies.

Important Dates

Key Academic Calendar Events

  • Labor Day (No Class): Monday, September 7

  • Test #1: September 23-29

  • Test #2: October 14-22 (excluding October 19-20)

  • Fall Break (No Class): October 19-20

  • Last Day to Withdraw (Automatic W): Sunday, October 25

  • Test #3: November 4-10

  • Thanksgiving Break (No Class): November 25-27

  • Test #4: December 2-8

  • Final Exam: December 10-12

Summary Table: Course Assessment Breakdown

Assessment

Percentage of Grade

Final Exam

20%

Tests

60%

MyLab Math Homework

10%

MyLab Math Quizzes

5%

Active Engagement

5%

Course Learning Goals and Analytical Reasoning

Analytical Reasoning Competency

  • Interpret and represent information in mathematical form.

  • Demonstrate proficiency in mathematical procedures and problem-solving.

  • Analyze and evaluate mathematical results for accuracy and reasonableness.

  • Communicate mathematical solutions and interpretations clearly.

Additional Info

  • This syllabus provides a comprehensive overview of course expectations, policies, and resources. For detailed schedules, assignments, and updates, students should refer to the course Canvas page and official university communications.

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