Special Problems in ISYE

Last Updated: Mon, 03/30/2026
Syllabus
syllabus_4.pdf (202.54 KB)
General Class Information
Academic year:
2026
Semester:
Summer
Course prefix:
ISYE
Course number:
8900
Section:
KLE
CRN
56796
Department (you may add up to three):
Sch/Industrial & Systems Engr
Instructor first name:
Anton
Instructor last name:
Kleywegt
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.

Administrative Data
Course status
Active

Doctoral Thesis

Last Updated: Wed, 04/01/2026
Syllabus
Summer-2026-50683-Huo-ISYE-9000-HUO.pdf (45.93 KB)
General Class Information
Academic year:
2026
Semester:
Summer
Course prefix:
ISYE
Course number:
9000
Section:
HUO
CRN
50683
Department (you may add up to three):
Sch/Industrial & Systems Engr
Instructor first name:
Xiaoming
Instructor last name:
Huo
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.

Administrative Data
Course status
Active

Doctoral Thesis

Last Updated: Wed, 04/01/2026
Syllabus
syllabus.pdf (78.14 KB)
General Class Information
Academic year:
2026
Semester:
Summer
Course prefix:
ISYE
Course number:
9000
Section:
NAS
CRN
51844
Department (you may add up to three):
Sch/Industrial & Systems Engr
Instructor first name:
Sen
Instructor last name:
Na
Class Details
Course description:

This course provides academic credit for independent thesis research conducted under the supervision of a Georgia Tech faculty advisor. The course does not involve regular class meetings, assignments, or examinations. The scope and direction of research are determined by the student in consultation with the thesis advisor, consistent with the requirements of the degree program.

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 Problems in OR

Last Updated: Wed, 04/01/2026
Syllabus
Summer-2026-51587-Huo-ISYE-8901-HUO.pdf (44.59 KB)
General Class Information
Academic year:
2026
Semester:
Summer
Course prefix:
ISYE
Course number:
8901
Section:
HUO
CRN
51587
Department (you may add up to three):
Sch/Industrial & Systems Engr
Instructor first name:
Xiaoming
Instructor last name:
Huo
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.

Administrative Data
Course status
Active

Doctoral Thesis

Last Updated: Tue, 03/31/2026
Syllabus
Summer-2026-56290-Xie-ISYE-9000-XIW_0.pdf (46.05 KB)
General Class Information
Academic year:
2026
Semester:
Summer
Course prefix:
ISYE
Course number:
9000
Section:
XIW
CRN
56290
Department (you may add up to three):
Sch/Industrial & Systems Engr
Instructor first name:
Weijun
Instructor last name:
Xie
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.

Administrative Data
Course status
Active

Regression/Forecasting

Last Updated: Mon, 03/30/2026
Syllabus
0-1.1) 2026 Summer Syllabus for ISyE 4031.pdf (819.95 KB)
General Class Information
Academic year:
2026
Semester:
Summer
Course prefix:
ISYE
Course number:
4031
Section:
R
CRN
54952
Department (you may add up to three):
Sch/Industrial & Systems Engr
Instructor first name:
Jye-Chyi
Instructor last name:
Lu
Class Details
Course description:
Regression analysis: multiple linear regression, diagnostics, and variable selection. Forecasting: exponential smoothing techniques and autoregressive moving average models.
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

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

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
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