|
|
3
|
|
37917
|
Lecture-Discussion
|
IS1
|
9:30AM
-12:20PM
|
M
|
104 Irwin Doctoral Hall
|
Pant, G
|
- Availability:
- Open (Restricted)
- Part of Term:
- 1
- Date Range:
- 08/24/26-12/09/26
- Credit:
- 4 hours
- Section Title:
- Txts&Ntwrks: LLMs&GNNs Bus Res
- Section Info:
- This course will meet in 104 Irwin Doctoral Study Hall. Business scholarship is a text-intensive field that draws on earnings calls, patents, online reviews, news articles, job postings, SEC filings, survey responses, social media posts, and contracts. Moreover, business phenomena are fundamentally relational. Firms exist within supply chain networks, alliance networks, co-invention networks, board interlock networks, competitive networks, and labor mobility networks. This doctoral seminar examines how large language models (LLMs) and graph neural networks (GNNs) can be applied to the two dominant forms of unstructured data in business research: text and networks. All substantive readings are drawn from leading journals.
- Restriction(s):
-
Restricted to PHD:Business Administrtn -UIUC.
|
|
|
3
|
|
37919
|
Lecture-Discussion
|
PDC
|
3:30PM
-4:50PM
|
T
|
3041 Business Instructional Fac
|
Pachera, S
|
- Availability:
- Open (Restricted)
- Part of Term:
- A
- Date Range:
- 08/24/26-10/16/26
- Credit:
- 1 hours
- Section Title:
- Prof Dvlpmnt & Career Strat
- Section Info:
- This course empowers you with practical tools and expert guidance. Build skills, maximize your job search, and expand your network with hands-on activities and alumni panels.
- Restriction(s):
-
Restricted to MS: Technology Management-UIUC, MS:Management -UIUC, or MS:Business Analytics - UIUC.
|
|
|
4
|
|
49036
|
Lecture-Discussion
|
QFA
|
9:30AM
-10:50AM
|
MW
|
2007 Business Instructional Fac
|
Subramanyam, R
|
- Availability:
- CrossListOpen (Restricted)
- Part of Term:
- 1
- Date Range:
- 08/24/26-12/09/26
- 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.
|
|
|
3
|
|
46671
|
Lecture-Discussion
|
QRM
|
1:00PM
-3:50PM
|
W
|
ARR Business Instructional Fac
|
Graebner, M
|
- Availability:
- Open (Restricted)
- Part of Term:
- 1
- Date Range:
- 08/24/26-12/09/26
- Credit:
- 4 hours
- Section Title:
- Qualitative Res Methods
- Section Info:
- This course will meet in 4001 BIF.
- Restriction(s):
-
Restricted to PHD:Business Administrtn -UIUC.
|
|
|
3
|
|
54729
|
Lecture-Discussion
|
SIB
|
5:00PM
-6:20PM
|
M
|
ARR Wohlers Hall
|
Somaya, D
|
- Availability:
- Open (Restricted)
- Part of Term:
- 1
- Date Range:
- 08/24/26-12/09/26
- Credit:
- 2 hours
- Section Title:
- SEIB Brown Bag
- Section Info:
- This course will meet in 4001 BIF.
- Restriction(s):
-
Restricted to PHD:Business Administrtn -UIUC.
|