Tensors have been increasingly used in data-intensive fields such as artificial intelligence and quantum computing. This course covers the notations, optimization and statistical methods of tensor computation, and their applications in machine learning (mainly deep learning) and quantum computing.

Prerequisites: Solid background in linear algebra and statitics/probability, basic programing skills.

4

Units

Letter

Grading

1, 2, 3

Passtime

Graduate students only

Level Limit

Engineering

College
ZHANG Z
Zheng Zhang
3.9
13 reviews
Fall 2024 . Zhang Z
PHELP1431
T R
12:30 PM - 13:45 PM
See All
ECE 273 Zhang Z Fall 2024 Total: 23
ECE 273 Zhang Z Fall 2023 Total: 11
See All
13
3.9
ECE15A . Zhang Z 5 Months Ago

Ok lecturer, midterms and final were alright. Tough homework grading so check everything. He has a really awkward grading policy for exams where you get very little partial credit in part b and c of the problem if you got the part a even slightly wrong, so you need to be really careful(which I wasn't)

0 helpful 0 unhelpful
ECE15A . Zhang Z 2 Years Ago

As both a former student and TA for this class, the best advice I can give is to take advantage of his lecture material. If you don't like his lecture style, his slides are extremely thorough and helpful to have up when doing your hw alongside the textbook. Yes it's a lot of work, but once things click you can solve problems at a much faster pace.

0 helpful 0 unhelpful
ECE15A . Zhang Z 3 Years Ago

Everything was open notes so was relatively easy. Do all the homework and make sure you have a good grasp on the material and you'll be fine. Quizzes and tests are time crunch but got good curve.

0 helpful 0 unhelpful
ECE15A . Zhang Z 3 Years Ago

This professor sent an email at 11:37 pm the day before our midterm to tell us whether or not the test will be online. My advice to anyone who wants to take this class is to be prepared for these type of situations. He's a decent professor, but please be wary that he might procrastinate sending important information regarding midterms & finals.

0 helpful 0 unhelpful
ECE15A . Zhang Z 4 Years Ago

Wasn't a very good lecturer; I just read the slides instead of going to class. Class material was a bit daunting at first but not too bad once you get the hang of it. 2 midterms and a final each with one bonus problem. The TAs grade pretty harshly so be careful. 3 quizzes in your TA section.

1 helpful 0 unhelpful
ART120 . Zhang Z 4 Years Ago

Zheng for asynchronous class was top of things just as he would for a class that is synchronous. His learning plan is extremely clear and tells you exactly what to do. He understands people has hard times and gives off a leeway to them on due dates. Extremely easy A if you read the material provided and do his projects.

0 helpful 0 unhelpful
See all 13 reviews
ECE 253
18 / 25 Enrolled
Embedded System Design
Forrest Brewer 3.4
M W
11:00 AM - 12:15 PM
72.3% A
ECE 257A
16 / 30 Enrolled
Fault Tolerant Computing
Behrooz Parhami 2.4
M W
10:00 AM - 11:50 AM
57.3% A
ECE 272A
22 / 44 Enrolled
Machine Learning in Design and Test Automation
Li-C Wang 4.3
M W
17:00 PM - 18:15 PM
83.6% A
ECE 278C
14 / 30 Enrolled
Imaging Systems
Lee H
M W
16:00 PM - 17:50 PM
95.2% A
ECE 282
17 / 30 Enrolled
Error Correcting Codes
Kenneth Rose 4.5
T R
14:00 PM - 15:50 PM
73.1% A
ECE 295
1 / 70 Enrolled
Group Studies: Controls, Dynamical Systems, and Computation
Andrew Teel 4.3
F
14:30 PM - 17:50 PM