Data Mining&Stat Learn

Last Updated: Wed, 04/01/2026
Syllabus
ISYE7406CourseSyllabus_Summer2026_v2-B.pdf (246.05 KB)
General Class Information
Academic year:
2026
Semester:
Summer
Course prefix:
ISYE
Course number:
7406
Section:
OAN
CRN
58004
Department (you may add up to three):
Sch/Industrial & Systems Engr
Instructor first name:
Xiaoming
Instructor last name:
Huo
Class Details
Course description:

Topics include neural networks, support vector machines, classification trees, boosting and discriminant analyses. Intended for Ph.D. students and those seeking the M.S. in Statistics.

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
Fall-2026-80815-Huo-ISYE-9000-HUO.pdf (46.01 KB)
General Class Information
Academic year:
2026
Semester:
Fall
Course prefix:
ISYE
Course number:
9000
Section:
HUO
CRN
80815
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

Time Series Analysis

Last Updated: Mon, 03/30/2026
Syllabus
SyllabusISYE6402Fall2026 Q.pdf (7.39 KB)
General Class Information
Academic year:
2026
Semester:
Fall
Course prefix:
ISYE
Course number:
6402
Section:
Q
CRN
88710
Department (you may add up to three):
Sch/Industrial & Systems Engr
Instructor first name:
Nicoleta
Instructor last name:
Serban
Class Details
Course description:
Basic forecasting methods, ARIMA models, transfer 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.

Administrative Data
Course status
Active

Doctoral Thesis

Last Updated: Tue, 03/31/2026
Syllabus
Fall-2026-88812-Xie-ISYE-9000-XIW.pdf (46.13 KB)
General Class Information
Academic year:
2026
Semester:
Fall
Course prefix:
ISYE
Course number:
9000
Section:
XIW
CRN
88812
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

Doctoral Thesis

Last Updated: Tue, 03/31/2026
Syllabus
Fall-2026-89827-Ding-ISYE-9000-DIN.pdf (45.78 KB)
General Class Information
Academic year:
2026
Semester:
Fall
Course prefix:
ISYE
Course number:
9000
Section:
DIN
CRN
89827
Department (you may add up to three):
Sch/Industrial & Systems Engr
Instructor first name:
Yu
Instructor last name:
Ding
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

Regression Analysis

Last Updated: Mon, 03/30/2026
Syllabus
ISyE 6414 Syllabus Fall 2026_1.pdf (244.88 KB)
General Class Information
Academic year:
2026
Semester:
Fall
Course prefix:
ISYE
Course number:
6414
Section:
OAN
CRN
85134
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
8998 Graduate Research Assistantship Fall 2026.pdf (185.08 KB)
General Class Information
Academic year:
2026
Semester:
Fall
Course prefix:
ISYE
Course number:
8998
Section:
SER
CRN
88971
Department (you may add up to three):
Sch/Industrial & Systems Engr
Instructor first name:
Nicoleta
Instructor last name:
Serban
Class Details
Course description:
For graduate students holding graduate research assistantships.
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

Adv Supply Chain Logists

Last Updated: Mon, 03/30/2026
Syllabus
syllabus_1.pdf (217.33 KB)
General Class Information
Academic year:
2026
Semester:
Fall
Course prefix:
ISYE
Course number:
4111
Section:
A
CRN
82592
Department (you may add up to three):
Sch/Industrial & Systems Engr
Instructor first name:
Anton
Instructor last name:
Kleywegt
Class Details
Course description:
This course is a follow-up to ISyE 3103 that covers optimization models and case studies for logistics network design and logistics operations.
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
Pending

Engineering Economy

Last Updated: Mon, 03/30/2026
Syllabus
ISYE 3025 Syllabus_2.pdf (133.81 KB)
General Class Information
Academic year:
2026
Semester:
Fall
Course prefix:
ISYE
Course number:
3025
Section:
B09
CRN
92327
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
Active

Time Series Analysis

Last Updated: Mon, 03/30/2026
Syllabus
SyllabusISYE6402Fall2026 O01.pdf (7.39 KB)
General Class Information
Academic year:
2026
Semester:
Fall
Course prefix:
ISYE
Course number:
6402
Section:
O01
CRN
86232
Department (you may add up to three):
Sch/Industrial & Systems Engr
Instructor first name:
Nicoleta
Instructor last name:
Serban
Class Details
Course description:
Basic forecasting methods, ARIMA models, transfer 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.

Administrative Data
Course status
Active
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