IE 434

fall 2023

All Classes

Deep Learning: Mathematics and Applications

Credit: 3 OR 4 hours.

Mathematical foundations of deep learning and applications to topical examples. Understanding of mathematical formulations of building blocks of machine learning. Design of deep learning algorithms for practical applications. Examples will be drawn from real datasets, and implementations will involve PyTorch.

3 undergraduate hours. 4 graduate hours. Credit is not given for IE 434 and IE 534. Prerequisite: IE 300(or equivalent), MATH 231, MATH 415, CS 101.

Status Icon Legend

: Section Status Closed
: Section Status Open
: Section Status Pending
: Section Status Open (Restricted)
: Section Status Unknown

Section Status updates every 10 minutes.

- IE 199
- IE 297
- IE 300
- IE 310
- IE 360
- IE 397
- IE 400
- IE 405
- IE 410
- IE 411
- IE 412
- IE 421
- IE 431
- IE 434
- IE 445
- IE 497
- IE 517
- IE 518
- IE 521
- IE 522
- IE 523
- IE 524
- IE 527
- IE 532
- IE 546
- IE 583
- IE 590
- IE 597
- IE 598
- IE 599

Detail	Status		CRN	Type	Section	Time	Day	Location	Instructor