Support for Math 1111

Last Updated: Thu, 01/08/2026
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Course prefix:
Math
Course number:
0999
Semester:
Spring
Academic year:
2026
Course description:

MATH 0999 is intended to support college algebra students to encourage their success. This course will incorporate pre-requisite skills needed for college algebra as well as just-in-time review. 

Academic honesty/integrity statement:

Students are expected to maintain the highest standards of academic integrity. All work submitted must be original and properly cited. Plagiarism, cheating, or any form of academic dishonesty will result in immediate consequences as outlined in the university's academic integrity policy.

Instructor first name:
Stephanie
Instructor last name:
Reikes
Section:
A
CRN
31573
Department (you may add up to three):
Mathematics

College Algebra

Last Updated: Thu, 01/08/2026
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Course prefix:
Math
Course number:
1111
Semester:
Spring
Academic year:
2026
Course description:

MATH 1111 provides an in-depth study of the properties of algebraic, exponential, and logarithmic functions as needed for pre-calculus and calculus. Emphasis is on using algebraic and graphical techniques for solving problems involving linear, quadratic, rational, polynomial, exponential, and logarithmic functions.

Academic honesty/integrity statement:

Students are expected to maintain the highest standards of academic integrity. All work submitted must be original and properly cited. Plagiarism, cheating, or any form of academic dishonesty will result in immediate consequences as outlined in the university's academic integrity policy.

Instructor first name:
Stephanie
Instructor last name:
Reikes
Section:
B
CRN
28624
Department (you may add up to three):
Mathematics

Precalculus

Last Updated: Thu, 01/08/2026
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Course prefix:
Math
Course number:
1113
Semester:
Spring
Academic year:
2026
Course description:

Course designed to introduce and solidify the concepts needed for calculus. Topics include properties of real numbers, functions, polynomial, rational and trigonometric, systems of equations and equalities as well as with expressions involving exponential and logarithmic functions. 

Academic honesty/integrity statement:

Students are expected to maintain the highest standards of academic integrity. All work submitted must be original and properly cited. Plagiarism, cheating, or any form of academic dishonesty will result in immediate consequences as outlined in the university's academic integrity policy.

Instructor first name:
Stephanie
Instructor last name:
Reikes
Section:
G
CRN
20447
Department (you may add up to three):
Mathematics

Numerical Analysis I

Last Updated: Mon, 01/05/2026
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Course prefix:
CX/Math
Course number:
4640
Semester:
Spring
Academic year:
2026
Course description:

This course introduces the basic numerical methods used in many applications areas in computational science and engineering.

Topics Covered: 

  • Introduction: Floating point arithmetics, sources of errors
  • Systems of Linear Equations: Gaussian elimination, pivoting, norms, condition numbers
  • Linear Least Squares: Normal equations method, orthogonalization methods for full rank problems
  • Solution of Nonlinear Equations: Bisection and secant methods, fixed point iteration, Newton's method
  • Interpolation: Lagrange interpolation, Newton interpolation, Chebyshev polynomials, Hermite interpolation, Splines, Fast Fourier Transformation
  • Numerical Differentiation and Integration: Trapezoidal rule, Simpson's rule, Newton-Cotes quadrature, Gaussian quadrature, adaptive quadrature, finite difference, Richardson extrapolation
  • Numerical Solutions of Ordinary Differential Equations: initial value problems, systems of equations, Euler method, Runge-Kutta method
  • Optimization (if the schedule allows): Existence of solutions, Optimization in one dimension, unconstrained and constrained optimizations, optimality conditions, Newton's method, Steepest descent, Conjugate gradient method
Academic honesty/integrity statement:

Students are expected to maintain the highest standards of academic integrity. All work submitted must be original and properly cited. Plagiarism, cheating, or any form of academic dishonesty will result in immediate consequences as outlined in the university's academic integrity policy.

Instructor first name:
Haesun
Instructor last name:
Park
Section:
A, BG, BU, Q
CRN
29189
30181
30182
30481
Department (you may add up to three):
Computational Science & Engineering
Mathematics

Differential Calculus

Last Updated: Sun, 01/04/2026
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Course prefix:
MATH
Course number:
1551
Semester:
Spring
Academic year:
2026
Course description:

Differential calculus including applications and the underlying theory of limits for functions and sequences.

MATH 1551 is a coordinated course with a course coordinator (Prof. Thomas Tran). This means that all lectures and studios use the same materials and calendar, and we also use versions of the same assessments.

 

Academic honesty/integrity statement:

All students are expected to comply with the Georgia Tech Honor Code (the honor code can be found at http://osi.gatech.edu/content/honor-code). Any evidence of cheating or other violations of the Georgia Tech Honor Code will be submitted directly to the Office of Student Integrity. Cheating includes, but is not limited to: 

  • Using a calculator, books, or any form of notes on tests.
  • Copying directly from any source, including friends, classmates, tutors, internet sources (including Wolfram Alpha or Chegg etc.), or a solutions manual. This applies to your homework as well! You can get help, but it’s important that you take ownership of your work.
  • Allowing another person to copy your work.
  • Taking a test or quiz in someone else's name, or having someone else take a test or quiz in your name.
  • Asking for a regrade of a paper that has been altered from its original form.
Core IMPACTS statement(s) (if applicable):

This is a Core IMPACTS course that is part of the STEM area.  

Core IMPACTS refers to the core curriculum, which provides students with essential knowledge in foundational academic areas. This course will help master course content, and support students’ broad academic and career goals.   

This course should direct students toward a broad Orienting Question:  

  • How do I ask scientific questions or use data, mathematics, or technology to understand the universe?

Completion of this course should enable students to meet the following Learning Outcome:  

  • Students will use the scientific method and laboratory procedures or mathematical and computational methods to analyze data, solve problems, and explain natural phenomena.   

Course content, activities and exercises in this course should help students develop the following Career-Ready Competencies:  

  • Inquiry and Analysis
  • Problem-Solving
  • Teamwork
Instructor first name:
Thomas
Instructor last name:
Tran
Section:
G and M
CRN
33302
29417
Department (you may add up to three):
Mathematics

Introduction to Linear Algebra

Last Updated: Fri, 01/02/2026
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PDF required. Please edit this page and upload a PDF. Please check PDF for accessibility prior to submission.
Course prefix:
MATH
Course number:
1553
Semester:
Spring
Academic year:
2026
Course description:

An introduction to linear alegbra including eigenvalues and eigenvectors, applications to linear systems, least squares. Credit not awarded for both MATH 1553 and MATH 1522, MATH 1502, MATH 1504, MATH 1512, MATH 1554 or MATH 1564.

Academic honesty/integrity statement:

Students are expected to maintain the highest standards of academic integrity. All work submitted must be original and properly cited. Plagiarism, cheating, or any form of academic dishonesty will result in immediate consequences as outlined in the university's academic integrity policy.

Core IMPACTS statement(s) (if applicable):

This is a Core IMPACTS course that is part of the STEM area.

Core IMPACTS refers to the core curriculum, which provides students with essential knowledge in foundational academic areas. This course will help master course content, and support students' broad academic and career goals.

This course should direct students toward a broad Orienting Question:
How do I ask scientific questions or use data, mathematics, or technology to understand the universe?

Completion of this course should enable students to meet the Learning Outcome:
Students will use the scientific method and laboratory procedures or mathematical and computational methods to analyze data, solve problems, and explain natural phenomena.

Course content, activities and exercises in this course should help students develop the following Career-Ready Competencies:
1. Inquiry and Analysis 
2. Problem-Solving
3. Teamwork

Instructor first name:
Anup
Instructor last name:
Poudel
Section:
S
CRN
34823
Department (you may add up to three):
Mathematics

Introduction to Linear Algebra

Last Updated: Fri, 01/02/2026
Upload a PDF
PDF required. Please edit this page and upload a PDF. Please check PDF for accessibility prior to submission.
Course prefix:
MATH
Course number:
1553
Semester:
Spring
Academic year:
2026
Course description:

An introduction to linear alegbra including eigenvalues and eigenvectors, applications to linear systems, least squares. Credit not awarded for both MATH 1553 and MATH 1522, MATH 1502, MATH 1504, MATH 1512, MATH 1554 or MATH 1564.

Academic honesty/integrity statement:

Students are expected to maintain the highest standards of academic integrity. All work submitted must be original and properly cited. Plagiarism, cheating, or any form of academic dishonesty will result in immediate consequences as outlined in the university's academic integrity policy.

Core IMPACTS statement(s) (if applicable):

This is a Core IMPACTS course that is part of the STEM area.

Core IMPACTS refers to the core curriculum, which provides students with essential knowledge in foundational academic areas. This course will help master course content, and support students' broad academic and career goals.

This course should direct students toward a broad Orienting Question:
How do I ask scientific questions or use data, mathematics, or technology to understand the universe?

Completion of this course should enable students to meet the Learning Outcome:
Students will use the scientific method and laboratory procedures or mathematical and computational methods to analyze data, solve problems, and explain natural phenomena.

Course content, activities and exercises in this course should help students develop the following Career-Ready Competencies:
1. Inquiry and Analysis 
2. Problem-Solving
3. Teamwork

Instructor first name:
Randall
Instructor last name:
Van Why
Section:
M
CRN
27138
Department (you may add up to three):
Mathematics

Introduction to Linear Algebra

Last Updated: Fri, 01/02/2026
Upload a PDF
PDF required. Please edit this page and upload a PDF. Please check PDF for accessibility prior to submission.
Course prefix:
MATH
Course number:
1553
Semester:
Spring
Academic year:
2026
Course description:

An introduction to linear alegbra including eigenvalues and eigenvectors, applications to linear systems, least squares. Credit not awarded for both MATH 1553 and MATH 1522, MATH 1502, MATH 1504, MATH 1512, MATH 1554 or MATH 1564.

Academic honesty/integrity statement:

Students are expected to maintain the highest standards of academic integrity. All work submitted must be original and properly cited. Plagiarism, cheating, or any form of academic dishonesty will result in immediate consequences as outlined in the university's academic integrity policy.

Core IMPACTS statement(s) (if applicable):

This is a Core IMPACTS course that is part of the STEM area.

Core IMPACTS refers to the core curriculum, which provides students with essential knowledge in foundational academic areas. This course will help master course content, and support students' broad academic and career goals.

This course should direct students toward a broad Orienting Question:
How do I ask scientific questions or use data, mathematics, or technology to understand the universe?

Completion of this course should enable students to meet the Learning Outcome:
Students will use the scientific method and laboratory procedures or mathematical and computational methods to analyze data, solve problems, and explain natural phenomena.

Course content, activities and exercises in this course should help students develop the following Career-Ready Competencies:
1. Inquiry and Analysis 
2. Problem-Solving
3. Teamwork

Instructor first name:
Anup
Instructor last name:
Poudel
Section:
L
CRN
34821
Department (you may add up to three):
Mathematics

Introduction to Linear Algebra

Last Updated: Fri, 01/02/2026
Upload a PDF
PDF required. Please edit this page and upload a PDF. Please check PDF for accessibility prior to submission.
Course prefix:
MATH
Course number:
1553
Semester:
Spring
Academic year:
2026
Course description:

An introduction to linear alegbra including eigenvalues and eigenvectors, applications to linear systems, least squares. Credit not awarded for both MATH 1553 and MATH 1522, MATH 1502, MATH 1504, MATH 1512, MATH 1554 or MATH 1564.

Academic honesty/integrity statement:

Students are expected to maintain the highest standards of academic integrity. All work submitted must be original and properly cited. Plagiarism, cheating, or any form of academic dishonesty will result in immediate consequences as outlined in the university's academic integrity policy.

Core IMPACTS statement(s) (if applicable):

This is a Core IMPACTS course that is part of the STEM area.

Core IMPACTS refers to the core curriculum, which provides students with essential knowledge in foundational academic areas. This course will help master course content, and support students' broad academic and career goals.

This course should direct students toward a broad Orienting Question:
How do I ask scientific questions or use data, mathematics, or technology to understand the universe?

Completion of this course should enable students to meet the Learning Outcome:
Students will use the scientific method and laboratory procedures or mathematical and computational methods to analyze data, solve problems, and explain natural phenomena.

Course content, activities and exercises in this course should help students develop the following Career-Ready Competencies:
1. Inquiry and Analysis 
2. Problem-Solving
3. Teamwork

Instructor first name:
Christopher
Instructor last name:
Jankowski
Section:
HP
CRN
30558
Department (you may add up to three):
Mathematics

Introduction to Linear Algebra

Last Updated: Fri, 01/02/2026
Upload a PDF
PDF required. Please edit this page and upload a PDF. Please check PDF for accessibility prior to submission.
Course prefix:
MATH
Course number:
1553
Semester:
Spring
Academic year:
2026
Course description:

An introduction to linear alegbra including eigenvalues and eigenvectors, applications to linear systems, least squares. Credit not awarded for both MATH 1553 and MATH 1522, MATH 1502, MATH 1504, MATH 1512, MATH 1554 or MATH 1564.

Academic honesty/integrity statement:

Students are expected to maintain the highest standards of academic integrity. All work submitted must be original and properly cited. Plagiarism, cheating, or any form of academic dishonesty will result in immediate consequences as outlined in the university's academic integrity policy.

Core IMPACTS statement(s) (if applicable):

This is a Core IMPACTS course that is part of the STEM area.

Core IMPACTS refers to the core curriculum, which provides students with essential knowledge in foundational academic areas. This course will help master course content, and support students' broad academic and career goals.

This course should direct students toward a broad Orienting Question:
How do I ask scientific questions or use data, mathematics, or technology to understand the universe?

Completion of this course should enable students to meet the Learning Outcome:
Students will use the scientific method and laboratory procedures or mathematical and computational methods to analyze data, solve problems, and explain natural phenomena.

Course content, activities and exercises in this course should help students develop the following Career-Ready Competencies:
1. Inquiry and Analysis 
2. Problem-Solving
3. Teamwork

Instructor first name:
Yanli
Instructor last name:
Hao
Section:
F
CRN
34819
Department (you may add up to three):
Mathematics
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