BADM 590

Spring 2026 All Classes

All Classes

Credit: 0 TO 4 hours.

Special topics in the general area of business. Topics are selected by the instructor at the beginning of each term.

Approved for letter and S/U grading. May be repeated if topics vary; unlimited credit hours for graduate and professional students.

BADM 590 class schedule data for spring 2026
CRN Type Section Time Day Location Instructor Section Details
49293
Lecture-Discussion
DMO
1:00PM -3:50PM
R
ARR Business Instructional Fac
Ocasio, W
Part of Term:
1
Date Range:
01/20/26-05/06/26
Credit:
4 hours
Section Title:
Designing & Managing Strat Org
Section Info:
This course will meet in 3015/3017 BIF. The topics covered will include organizational identity and purpose, strategy processes and practices, organizational architecture, governance and executive leadership, organizational attention and control, culture and communication, and strategic adaptation, learning, and innovation.
Restriction(s):
Restricted to PHD:Business Administrtn -UIUC.
52704
Lecture-Discussion
ENT
3:30PM -6:20PM
M
3041 Business Instructional Fac
Sullivan, N
Part of Term:
B
Date Range:
03/16/26-05/06/26
Credit:
2 hours
Section Title:
Entrepreneurship
Restriction(s):
Restricted to MS: Technology Management-UIUC or MS:Management -UIUC.
41596
Lecture-Discussion
IS2
9:30AM -12:20PM
T
ARR Business Instructional Fac
Allu Rakesh, R
Part of Term:
1
Date Range:
01/20/26-05/06/26
Credit:
4 hours
Section Title:
Machine Learning Methods
Section Info:
This course will meet in 3015/3017 BIF. Machine Learning Methods for Empirical Research. This course explores a broad range of Machine Learning (ML) methods used in empirical research. Its primary objective is to equip students with awareness of how ML techniques can address common challenges encountered in empirical work and applied research settings.
Restriction(s):
Restricted to PHD:Business Administrtn -UIUC.
51352
Lecture-Discussion
QFA
9:30AM -10:50AM
MW
2060 Wymer Hall
Subramanyam, R
Part of Term:
1
Date Range:
01/20/26-05/06/26
Credit:
4 hours
Section Title:
QuantFoundations for BusAnalyt
Section Info:
This section is cross-listed with BADM 373. Provides students a comprehensive overview of essential mathematical and statistical concepts necessary for effective data-driven business decision-making. The course covers linear algebra, probability theory, statistics foundation, exploratory data analysis, predictive analytics focusing on multivariate models and time series forecasting, and prescriptive analytics including optimization techniques and Monte Carlo Simulation. Through theoretical lectures and practical sessions using widely available software tools, students will develop the analytical skills required to solve real-world business problems.
Restriction(s):
Restricted to MS:Business Analytics - UIUC.
46486
Lecture-Discussion
SIB
4:30PM -5:50PM
M
ARR Wohlers Hall
Yao, F
Part of Term:
1
Date Range:
01/20/26-05/06/26
Credit:
2 hours
Section Title:
SEIB Brown Bag Seminar
Section Info:
This section will meet in 4001 BIF.
Restriction(s):
Restricted to PHD:Business Administrtn -UIUC.
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