Basic Stat Method

Last Updated: Mon, 03/30/2026
Syllabus
ISyE 3030 Syllabus_2026-Summer.pdf (420 KB)
General Class Information
Academic year:
2026
Semester:
Summer
Course prefix:
ISYE
Course number:
3030
Section:
R
CRN
54951
Department (you may add up to three):
Sch/Industrial & Systems Engr
Instructor first name:
Jye-Chyi
Instructor last name:
Lu
Class Details
Course description:
Point and interval estimation of systems parameters, statistical decision making about differences in system parameters, analysis and modeling of relationships between variables.
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: Wed, 04/01/2026
Syllabus
Summer-2026-55556-Nazzal-ISYE-4698-NAZ.pdf (60.28 KB)
General Class Information
Academic year:
2026
Semester:
Summer
Course prefix:
ISYE
Course number:
4698
Section:
NAZ
CRN
55556
Department (you may add up to three):
Sch/Industrial & Systems Engr
Instructor first name:
Dima
Instructor last name:
Nazzal
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

Special Topics

Last Updated: Mon, 03/30/2026
Syllabus
4803Huo-2026 syllabus.pdf (221.36 KB)
General Class Information
Academic year:
2026
Semester:
Summer
Course prefix:
ISYE
Course number:
4803
Section:
FDA
CRN
56702
Department (you may add up to three):
Sch/Industrial & Systems Engr
Instructor first name:
Xiaoming
Instructor last name:
Huo
Class Details
Course description:
Courses in special topics of timely interest to the profession, conducted by resident or visiting faculty.
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

Undergraduate Research

Last Updated: Mon, 03/30/2026
Syllabus
4699 Undergraduate Research Syllabus Summer 2026.pdf (121.47 KB)
General Class Information
Academic year:
2026
Semester:
Summer
Course prefix:
ISYE
Course number:
4699
Section:
SER
CRN
54976
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

Regression Analysis

Last Updated: Mon, 03/30/2026
Syllabus
ISyE 6414 Syllabus Summer 2026_10.pdf (244.09 KB)
General Class Information
Academic year:
2026
Semester:
Summer
Course prefix:
ISYE
Course number:
6414
Section:
OAN
CRN
54145
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_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
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