BackPrecalculus Syllabus and Study Guide: Course Structure, Topics, and Learning Outcomes
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Course Overview
Introduction to Precalculus
This course provides a comprehensive foundation in precalculus, preparing students for further study in calculus and related fields. Topics include linear, quadratic, polynomial, rational, exponential, logarithmic, and trigonometric functions, as well as systems of equations and analytic geometry.
Course Code: MAC1147 (GM) Precalculus
Department: Mathematics & Statistics, College of Arts and Sciences
Textbook: Precalculus by Sullivan, Pearson, 12th edition
Delivery: Standard, with class handouts and online assignments
Learning Outcomes
Core Competencies
Upon completion, students will be able to:
Solve polynomial and rational inequalities
Analyze, model, and create graphs of polynomial functions
Analyze rational, exponential, and logarithmic functions and their graphs
Analyze conic sections and their graphs
Solve systems of equations using matrix methods
Evaluate sums of arithmetic and geometric sequences
Solve equations involving exponents with the Binomial Theorem
Solve application problems using mathematical techniques
Analyze trigonometric functions and their graphs
Verify and use trigonometric identities
Solve trigonometric equations
Course Topics
Major Chapters and Content Areas
Chapter 1: Linear & Quadratic Functions
Chapter 2: Functions & Their Graphs
Chapter 3: Polynomial & Rational Functions
Chapter 4: Exponential & Logarithmic Functions
Chapter 5: Trigonometric Functions
Chapter 6: Analytic Trigonometry
Section 11.1: Systems of Linear Equations
Key Concepts and Definitions
Functions and Their Properties
Function: A relation in which each input has exactly one output.
Domain and Range: The set of possible input and output values for a function.
Linear Function:
Quadratic Function:
Polynomial Function:
Rational Function: where
Exponential Function:
Logarithmic Function:
Trigonometric Functions: and their reciprocals
Systems of Equations and Matrices
System of Linear Equations: A set of equations with multiple variables solved simultaneously.
Matrix Methods: Techniques such as Gaussian elimination and matrix inversion for solving systems.
Example: Solve using matrices.
Conic Sections
Conic Sections: Curves obtained by intersecting a plane with a cone: circles, ellipses, parabolas, and hyperbolas.
General Equation:
Sequences and Series
Arithmetic Sequence:
Geometric Sequence:
Binomial Theorem:
Course Structure and Assessment
Grading Breakdown
Component | Percentage |
|---|---|
Tests | 45% |
Quizzes | 12% |
Online Homework | 20% |
Attendance & Participation | 3% |
Final Exam | 20% |
Assignment Types
Online Homework: Regular assignments via Access Pearson
Quizzes: Weekly, based on current topics
Tests: Four major tests and a comprehensive final exam
Class Participation: Attendance and engagement
Course Policies and Resources
Attendance and Success Tips
Regular attendance is required and monitored
Active participation and timely submission of assignments are essential
Utilize tutoring services and academic resources for support
Academic Integrity
Strict adherence to university policies on academic honesty
No unauthorized collaboration or use of prohibited resources
Accessibility and Support
Accommodations available for students with disabilities
Support services include tutoring, counseling, and academic advising
Course Schedule
Weekly Topics and Assignments
Chapters and sections are covered sequentially, with regular reviews and assessments
Spring break and holidays are observed as per university calendar
Final exam is comprehensive, covering all major topics
Additional Info
Students are encouraged to communicate regularly with the instructor
Preparation and organization are key to success in this course