BADM 557
spring 2024
All Classes
Topics in Business Intelligence
| Course | Section | CRN | Date | Day | Start Time | End Time | Room | Exam Type |
|---|
Credit: 2 OR 4 hours.
In recent years, an increasing number of companies, large and small, have begun to utilize big data and associated analytics methods to gain information and support their decision-making. This course will introduce students to the basic principles and technology foundations of data mining, focusing on business applications of machine learning. Different topics such as different algorithms and software may be covered in different semesters.
2 or 4 graduate hours. No professional credit. Credit is not given for both BADM 557 and BADM 453.

- Section Status Closed

- Section Status Open

- Section Status Pending

- Section Status Open (Restricted)

- Section Status Unknown
Section Status updates every 10 minutes.
-
-
- BADM 199
- BADM 205
- BADM 210
- BADM 211
- BADM 275
- BADM 300
- BADM 303
- BADM 310
- BADM 311
- BADM 312
- BADM 313
- BADM 314
- BADM 320
- BADM 322
- BADM 323
- BADM 324
- BADM 325
- BADM 329
- BADM 330
- BADM 331
- BADM 335
- BADM 337
- BADM 338
- BADM 340
- BADM 346
- BADM 350
- BADM 351
- BADM 352
- BADM 353
- BADM 356
- BADM 358
- BADM 359
- BADM 366
- BADM 370
- BADM 371
- BADM 374
- BADM 375
- BADM 378
- BADM 379
- BADM 380
- BADM 381
- BADM 382
- BADM 383
- BADM 394
- BADM 395
- BADM 403
- BADM 420
- BADM 445
- BADM 446
- BADM 449
- BADM 453
- BADM 461
- BADM 464
- BADM 508
- BADM 509
- BADM 512
- BADM 519
- BADM 520
- BADM 525
- BADM 527
- BADM 537
- BADM 543
- BADM 544
- BADM 545
- BADM 547
- BADM 550
- BADM 554
- BADM 555
- BADM 557
- BADM 558
- BADM 561
- BADM 566
- BADM 567
- BADM 572
- BADM 573
- BADM 575
- BADM 576
- BADM 583
- BADM 584
- BADM 588
- BADM 589
- BADM 590
- BADM 591
- BADM 593
- BADM 594
- BADM 599
×
STATUS ICON LEGEND
"/> Section is Open
"/> Section is Open with Restrictions
"/> Section is Closed
"/> Section is Pending
"/> Section is availability is unknown
| Detail | Status | CRN | Type | Section | Time | Day | Location | Instructor |
|---|