IT103: Algebra

Unit 0: Orientation to the Course

R Batzinger

2024-07-12

Welcome to the Course

Course: IT103 ALGEBRA
Credits: 3 (3-0-6)
Class Scheduling: MON/TH 9:00-10:30
Venue: PC301
Instructor: Dr. Robert Batzinger
Mid-Term Exam: 10 Oct 2024 9:00-11:00
Final Exam: 6 Dec 2024 9:00-12:00

Introductions

  • How do you wish to be called?
  • Where are you from?
  • What is your experience with Math?
  • What is your goal?

Your Instructor

Email: robert_b@payap.ac.th
Office: PC314 (Office hrs by appointment)

Different branches of Mathematics

Mathematics is a language to express numerical relationships between entities and the solution spaces related to a given set of parameters.

Muhammad bin Musa Al-Khwarizmi

  • Persian mathematician (780-850 AD)
  • introduced Hindu-Arabic numerals
  • invented algebra as a process (algorithm)
  • European mathematics adopted his concepts of algebra during the medieval era

What is Algebra?

Algebra

The use of mathematical relationships to determine the values within a solution space. This requires a process that manipulates symbolic variables according to immutable rules

Such rules are set in stone.

Why study this course?

  • Prerequisite for advanced courses: provides essential skills needed for calculus, discrete math, machine learning, relational databases, cryptography, data science, algorithms, and machine learning.

  • Foundation for important functions: key to understanding algorithms, such as those for searching, sorting, and optimization. Machine learning and statistical functions algorithms depend onlinear algebra.

  • Exercise Problem-Solving Skills: Algebra is actually a process for applying rules to solve problems. This is crucial for thinking abstractly to tackle complex problems as well as for debugging and developing efficient code.

  • Skill used in Computer Graphics: Algebra is used in transformations, rotations, and scaling used in computer graphics, gaming, and data visualizations.

Course Resources

-Textbook Resources

Required Textbook:

Reference Textbooks:

- Software Resources

Graphing Calculator:

Course LMS Website

  • Enrollment Url: https://canvas.instructure.com/enroll/PBPFHX

  • Login URL: https://canvas.instructure.com

  • Contents

\[\eqalign{- Slides &\quad - Exercises &\quad - Quizzes \\ - Review & \quad - Handouts \\}\]

Callouts

Note

This is a cool point worth mentioning

Tip or suggestion

This is a useful tip or special technique

Important point

Something you might need or see again (like in an interview or exam)

A Warning

Something that can get you into trouble

A Caution

Something that you need to pay attention to

Some examples of the topics we will study

Mathematical literacy:

Universal gas law:

\[\eqalign{PV& =& nrT\\ Where& \\ P & : & pressure\\ V & : & volume \\ n & : & number\ of\ atoms\\ r & : & gas\ constant \\ T & : & temperature\ (in\ K)\\ }\]

If an empty tank is quickly filled with a powerful compressor, what happens to the temperature of the gas inside?

Rational thinking vs intuition

  • A bat and a ball together cost $1.10.
  • The bat costs $1 more that the ball.

How much does the ball cost?

Non-linear relationships

  • Assume water lilies double in surface area every day.
  • A pond becomes full after 45 days.

How long does it take for the pond to become half full?

Handling errors

An Egyptian farmer has 19 camels. In his will, he state 1/2 of the camels were to go to his eldest son, 1/4 of the camels to his middle son, and 1/5 of the camels to his youngest son. The will also stipulated that no camels were to be killed or cut up in the process.

What was the solution? How many camels did each son recieve as per the terms of the will?

Structure of the modules in this course

  • Lecture Slides
  • Classroom challenges
  • Exercises
  • Chapter Review
    • Key Terms
    • Key Equations
    • Key Concepts
    • Review Exercises
  • Practice Test
  • Module Quiz

Module 1: Introduction to Prerequisites

  • 1.1 Real Numbers: Algebra Essentials
  • 1.2 Exponents and Scientific Notation
  • 1.3 Radicals and Rational Exponents
  • 1.4 Polynomials
  • 1.5 Factoring Polynomials
  • 1.6 Rational Expressions
  • 1.7 The basic rules of algebra

Module 2: Equations and Inequalities

  • 2.1 The Rectangular Coordinate Systems and Graphs
  • 2.2 Linear Equations in One Variable
  • 2.3 Models and Applications
  • 2.4 Complex Numbers
  • 2.5 Quadratic Equations
  • 2.6 Other Types of Equations
  • 2.7 Linear Inequalities and Absolute Value

Module 3: Functions

  • 3.1 Functions and Function Notation
  • 3.2 Domain and Range
  • 3.3 Rates of Change and Behavior of Graphs
  • 3.4 Composition of Functions
  • 3.5 Transformation of Functions
  • 3.6 Absolute Value Functions
  • 3.7 Inverse Functions

Module 4: Linear Functions

  • 4.1 Linear Functions
  • 4.2 Modeling with Linear Functions
  • 4.3 Fitting Linear Models to Data

Module 5: Polynomial and Rational Functions

  • 5.1 Quadratic Functions
  • 5.2 Power Functions and Polynomial Functions
  • 5.3 Graphs of Polynomial Functions
  • 5.4 Dividing Polynomials
  • 5.5 Zeros of Polynomial Functions
  • 5.6 Rational Functions
  • 5.7 Inverses and Radical Functions
  • 5.8 Modeling Using Variation

Module 6: Exponential and Logarithmic Functions

  • 6.1 Exponential Functions
  • 6.2 Graphs of Exponential Functions
  • 6.3 Logarithmic Functions
  • 6.4 Graphs of Logarithmic Functions
  • 6.5 Logarithmic Properties
  • 6.6 Exponential and Logarithmic Equations
  • 6.7 Exponential and Logarithmic Models
  • 6.8 Fitting Exponential Models to Data

Module 7 Systems of Equations and Inequalities

  • 7.1 Systems of Linear Equations: Two Variables
  • 7.2 Systems of Linear Equations: Three Variables
  • 7.3 Systems of Nonlinear Equations and Inequalities: Two Variables
  • 7.4 Partial Fractions
  • 7.5 Matrices and Matrix Operations
  • 7.6 Solving Systems with Gaussian Elimination
  • 7.7 Solving Systems with Inverses
  • 7.8 Solving Systems with Cramer’s Rule

Module 8: Analytic Geometry

  • 8.1 The Ellipse
  • 8.2 The Hyperbola
  • 8.3 The Parabola
  • 8.4 Rotation of Axes
  • 8.5 Conic Sections in Polar Coordinates

Module 9: Sequences, Probability, and Counting Theory

  • 9.1 Sequences and Their Notations
  • 9.2 Arithmetic Sequences
  • 9.3 Geometric Sequences
  • 9.4 Series and Their Notations
  • 9.5 Counting Principles
  • 9.6 Binomial Theorem
  • 9.7 Probability