Engineering Economy

Last Updated: Mon, 03/30/2026
Syllabus
PDF required. Please edit this page and upload a PDF. Please check PDF for accessibility prior to submission.
General Class Information
Academic year:
2026
Semester:
Fall
Course prefix:
ISYE
Course number:
3025
Section:
A09
CRN
80279
Department (you may add up to three):
Sch/Industrial & Systems Engr
Instructor first name:
Tugba
Instructor last name:
Ayer
Class Details
Course description:
Introduction to engineering economic decision making, economic decision criteria, discounted cash flow, replacement and timing decisions, risk, depreciation, and income tax.
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 following Learning Outcomes:

  • 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
Administrative Data
Course status
Active

Computational Statistics

Last Updated: Mon, 03/30/2026
Syllabus
PDF required. Please edit this page and upload a PDF. Please check PDF for accessibility prior to submission.
General Class Information
Academic year:
2026
Semester:
Fall
Course prefix:
ISYE
Course number:
6416
Section:
B
CRN
94285
Department (you may add up to three):
Sch/Industrial & Systems Engr
Instructor first name:
Moise
Instructor last name:
Blanchard
Class Details
Course description:
This class describes the available knowledge regarding statistical computing. Topics include random deviates generation, importance sampling, Monte Carlo Markov chain (MCMC), EM algorithms, bootstrapping, model selection criteria, (e.g. C-p, AIC, etc.) splines, wavelets, and Fourier transform.
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 Humanities 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 interpret the human experience through creative, linguistic, and philosophical works?
  • Completion of this course should enable students to meet the following Learning Outcome:

    • Students will effectively analyze and interpret the meaning, cultural significance, and ethical implications of literary/philosophical texts or of works in the visual/performing arts.

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

    • Information Literacy

    • Intercultural Competence
Administrative Data
Course status
Active

Regression Analysis

Last Updated: Mon, 03/30/2026
Syllabus
ISyE 6414 Syllabus Fall 2026 Campus.pdf (248.29 KB)
General Class Information
Academic year:
2026
Semester:
Fall
Course prefix:
ISYE
Course number:
6414
Section:
MSA
CRN
88173
Department (you may add up to three):
Sch/Industrial & Systems Engr
Instructor first name:
Placeholder
Instructor last name:
Placeholder
Class Details
Course description:
Simple and multiple linear regression, inferences and diagnostics, stepwise regression and model selection, advanced regression methods, basic design and analysis of experiments, factorial analysis.
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.

 

Administrative Data
Course status
Active

Doctoral Thesis

Last Updated: Mon, 03/30/2026
Syllabus
PDF required. Please edit this page and upload a PDF. Please check PDF for accessibility prior to submission.
General Class Information
Academic year:
2026
Semester:
Fall
Course prefix:
ISYE
Course number:
9000
Section:
CHE
CRN
88975
Department (you may add up to three):
Sch/Industrial & Systems Engr
Instructor first name:
Xin
Instructor last name:
Chen
Class Details
Course description:
Placeholder
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.

One serious kind of academic misconduct is plagiarism, which occurs when a writer, speaker, Youtuber, artist, or designer deliberately uses someone else’s language, ideas, images, or other original material or code without fully acknowledging the source of that content via quotes, footnotes or endnotes, in works cited pages, and/or in other ways as appropriate (modified from WPA Statement on “Defining and Avoiding Plagiarism”). If you engage in plagiarism or any other form of academic misconduct, you will fail the assignment (with a 0%) in which you have engaged in academic misconduct and be referred to the Office of Student Integrity, as required by Georgia Tech policy. We strongly urge you to be familiar with these Georgia Tech sites:

Copyright and Attribution: When incorporating images or video into your work be sure to properly cite the source, even if it’s in the public domain. You should not use material for which the copyright holder reserves all rights. You can adjust your search settings to account for attribution in your search engine. It may be useful to search for media through Creative Commons. 

The Final Portfolio: Any editing of the portfolio after the submission deadline will be considered a violation of the Georgia Tech Honor Code and may be referred to the Office of Student Integrity.

Core IMPACTS statement(s) (if applicable):

ENGL 1101 ENGL COMPOSITION I

This is a Core IMPACTS course that is part of the Writing 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 write effectively in different contexts?  

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

  • Students will communicate effectively in writing, demonstrating clear organization and structure, using appropriate grammar and writing conventions. 
  • Students will appropriately acknowledge the use of materials from original sources. 
  • Students will adapt their written communications to purpose and audience. 
  • Students will analyze and draw informed inferences from written texts.  

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

  • Critical Thinking 
  • Information Literacy 
  • Persuasion  
Administrative Data
Course status
Active

Senior Design

Last Updated: Mon, 03/30/2026
Syllabus
Syllabus_Spring_26_0.pdf (204.76 KB)
General Class Information
Academic year:
2026
Semester:
Fall
Course prefix:
ISYE
Course number:
4106
Section:
101
CRN
89955
Department (you may add up to three):
Sch/Industrial & Systems Engr
Instructor first name:
Placeholder
Instructor last name:
Placeholder
Class Details
Course description:
Senior design project requiring student to formulate a project plan with an off-campus enterprise. Includes specific milestones, targets, and evaluation criteria.
Academic honesty/integrity statement:

“I commit to uphold the ideals of honor and integrity by refusing to betray the trust bestowed upon me as a member of the Georgia Tech community.” 

Georgia Tech aims to cultivate a community based on trust, academic integrity, and honor. Students are expected to act according to the highest ethical standards. For information on Georgia Tech's Academic Honor Code, please visit http://www.catalog.gatech.edu/policies/honor-code/ or http://www.catalog.gatech.edu/rules/18/. Academic integrity is extremely important to me. 

Any student suspected of cheating or plagiarizing on an exam or assignment will be reported to the Office of Student Integrity, who will investigate the incident and identify the appropriate penalty for violations. 

Core IMPACTS statement(s) (if applicable):

This is a Core IMPACTS course that is part of the Social Sciences 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 understand human experiences and connections?

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

  • Students will effectively analyze the complexity of human behavior, and how historical, economic, political, social or geographic relationships develop, persist or change.

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

  • Intercultural Competence
  • Perspective-Taking
  • Persuasion
Administrative Data
Course status
Active

Doctoral Thesis

Last Updated: Mon, 03/30/2026
Syllabus
PDF required. Please edit this page and upload a PDF. Please check PDF for accessibility prior to submission.
General Class Information
Academic year:
2026
Semester:
Fall
Course prefix:
ISYE
Course number:
9000
Section:
DAH
CRN
83509
Department (you may add up to three):
Sch/Industrial & Systems Engr
Instructor first name:
Mathieu
Instructor last name:
Dahan
Class Details
Course description:
Placeholder
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 Arts, Humanities & Ethics 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 interpret the human experience through creative, linguistic, and philosophical works?

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

  • Students will effectively analyze and interpret the meaning, cultural significance and ethical implications of literary/philosophical texts in English or other languages, or of works in the visual/performing arts.

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

  • Ethical Reasoning
  • Information Literacy
  • Intercultural Competence
Administrative Data
Course status
Active

Statistics& Applications

Last Updated: Mon, 03/30/2026
Syllabus
PDF required. Please edit this page and upload a PDF. Please check PDF for accessibility prior to submission.
General Class Information
Academic year:
2026
Semester:
Fall
Course prefix:
ISYE
Course number:
3770
Section:
T17
CRN
94174
Department (you may add up to three):
Sch/Industrial & Systems Engr
Instructor first name:
Placeholder
Instructor last name:
Placeholder
Class Details
Course description:
Introduction to probability, probability distributions, point estimation, confidence intervals, hypothesis testing, linear regression, and analysis of variance. Crosslisted with MATH 3770 and CEE 3770. Also, credit not awarded for both ISYE 3770 and MATH 3670.
Academic honesty/integrity statement:

One serious kind of academic misconduct is plagiarism, which occurs when a writer, speaker, or designer deliberately uses someone else’s language, ideas, images, or other original material or code without fully acknowledging its source by quotation marks as appropriate, in footnotes or endnotes, in works cited, and in other ways as appropriate (modified from WPA Statement on “Defining and Avoiding Plagiarism”). If you engage in plagiarism or any other form of academic misconduct, you will fail the assignment in which you have engaged in academic misconduct and be referred to the Office of Student Integrity, as required by Georgia Tech policy. We strongly urge you to be familiar with these Georgia Tech sites: Honor Challenge — https://osi.gatech.edu/students/honor-code Office of Student Integrity — http://www.osi.gatech.edu/index.php/

Core IMPACTS statement(s) (if applicable):

This is a Core IMPACTS course that is part of the Writing 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 write effectively in different contexts? Completion of this course should enable students to meet the following Learning Outcomes: Students will communicate effectively in writing, demonstrating clear organization and structure, using appropriate grammar and writing conventions. Students will appropriately acknowledge the use of materials from original sources. Students will adapt their written communications to purpose and audience. Students will analyze and draw informed inferences from written texts. Course content, activities and exercises in this course should help students develop the following Career-Ready Competencies: Critical Thinking Information Literacy Persuasion

 

 

Administrative Data
Course status
Active

Regression Analysis

Last Updated: Mon, 03/30/2026
Syllabus
ISyE 6414 Syllabus Fall 2026.pdf (244.88 KB)
General Class Information
Academic year:
2026
Semester:
Fall
Course prefix:
ISYE
Course number:
6414
Section:
QSZ
CRN
89253
Department (you may add up to three):
Sch/Industrial & Systems Engr
Instructor first name:
Nicoleta
Instructor last name:
Serban
Class Details
Course description:
Simple and multiple linear regression, inferences and diagnostics, stepwise regression and model selection, advanced regression methods, basic design and analysis of experiments, factorial analysis.
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. Every Student is expected to read, understand, and abide by the Georgia Tech Academic Honor Code

Administrative Data
Course status
Cancelled

Statistical Meth-Mfg Dgn

Last Updated: Mon, 03/30/2026
Syllabus
PDF required. Please edit this page and upload a PDF. Please check PDF for accessibility prior to submission.
General Class Information
Academic year:
2026
Semester:
Fall
Course prefix:
ISYE
Course number:
6405
Section:
A
CRN
82102
Department (you may add up to three):
Sch/Industrial & Systems Engr
Instructor first name:
Jianjun
Instructor last name:
Shi
Class Details
Course description:
Fractional factorial designs, response surface methods.
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. sing AI LLM’s or other AI/ML assistants must be identified and cited, otherwise it is plagiarism.

Administrative Data
Course status
Pending
Subscribe to Sch/Industrial & Systems Engr