Regression Analysis

Last Updated: Mon, 03/30/2026
Syllabus
ISyE 6414 Syllabus Summer 2026_11.pdf (244.09 KB)
General Class Information
Academic year:
2026
Semester:
Summer
Course prefix:
ISYE
Course number:
6414
Section:
Q2
CRN
57039
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.

Administrative Data
Course status
Active

Regression Analysis

Last Updated: Mon, 03/30/2026
Syllabus
ISyE 6414 Syllabus Summer 2026_9.pdf (244.09 KB)
General Class Information
Academic year:
2026
Semester:
Summer
Course prefix:
ISYE
Course number:
6414
Section:
ASY
CRN
56157
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.

Administrative Data
Course status
Active

Engineering Economy

Last Updated: Mon, 03/30/2026
Syllabus
ISYE 3025 Syllabus_0.pdf (133.81 KB)
General Class Information
Academic year:
2026
Semester:
Summer
Course prefix:
ISYE
Course number:
3025
Section:
MW1
CRN
56697
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. 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.

Any student suspected of cheating or plagiarism on a quiz, exam, or assignment will be reported to the Office of Student Integrity, which will investigate the incident and identify the appropriate penalty for violations. You are expected to adhere to the Georgia Tech Honor Code.  For more information, see: https://osi.gatech.edu/students/honor-code

In addition, faculty and students have drawn up a list of mutually beneficial expectations; please see: http://www.catalog.gatech.edu/rules/22/

Students may not submit any work that has been turned in for credit for a previous course.  Be aware that different software techniques & methods may be utilized to check this (for example, IP addresses and activity are logged in Canvas). 

Core IMPACTS statement(s) (if applicable):

This course helps students develop skills in quantitative reasoning, problem-solving, and analytical decision-making. Students will strengthen their ability to interpret data, evaluate trade-offs, and communicate results clearly—skills that are essential in engineering, business, and many other professional fields.

Administrative Data
Course status
Pending

Regression Analysis

Last Updated: Mon, 03/30/2026
Syllabus
ISyE 6414 Syllabus Summer 2026_8.pdf (244.09 KB)
General Class Information
Academic year:
2026
Semester:
Summer
Course prefix:
ISYE
Course number:
6414
Section:
QIS
CRN
57517
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.

Administrative Data
Course status
Active

Research Assistantship

Last Updated: Mon, 03/30/2026
Syllabus
Summer 2026 4698 Undergraduate Research Assistantship_0.pdf (6.8 KB)
General Class Information
Academic year:
2026
Semester:
Summer
Course prefix:
ISYE
Course number:
4698
Section:
SER
CRN
54517
Department (you may add up to three):
Sch/Industrial & Systems Engr
Instructor first name:
Nicoleta
Instructor last name:
Serban
Class Details
Course description:
Independent research conducted under the guidance of a faculty member.
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

Engineering Economy

Last Updated: Mon, 03/30/2026
Syllabus
ISYE 3025 Syllabus_1.pdf (133.81 KB)
General Class Information
Academic year:
2026
Semester:
Summer
Course prefix:
ISYE
Course number:
3025
Section:
MW3
CRN
54421
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:

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. Any student suspected of cheating or plagiarism on a quiz, exam, or assignment will be reported to the Office of Student Integrity, which will investigate the incident and identify the appropriate penalty for violations. You are expected to adhere to the Georgia Tech Honor Code.  For more information, see: https://osi.gatech.edu/students/honor-code.

In addition, faculty and students have drawn up a list of mutually beneficial expectations; please see: http://www.catalog.gatech.edu/rules/22/

Students may not submit any work that has been turned in for credit for a previous course.  Be aware that different software techniques & methods may be utilized to check this (for example, IP addresses and activity are logged in Canvas). 

Core IMPACTS statement(s) (if applicable):

This course helps students develop skills in quantitative reasoning, problem-solving, and analytical decision-making. Students will strengthen their ability to interpret data, evaluate trade-offs, and communicate results clearly—skills that are essential in engineering, business, and many other professional fields.

Administrative Data
Course status
Pending

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:
CRO
CRN
89829
Department (you may add up to three):
Sch/Industrial & Systems Engr
Instructor first name:
Constance
Instructor last name:
Crozier
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 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

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
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