Course Syllabus: MATH 277A (Tensor Computation), Fall 2017
- Instructor: Prof. Jiawang Nie
- Office: AP&M 5864.
- Phone: (858) 534-6015.
- Email: njw "AT" math dot ucsd dot edu.
- Office hours: 4:00-5:00 MF
- Time: 3:00 - 3:50 pm, MWF
- Location: APM 2402
TA Contact Info
This course will teach basic concepts, theory,
algorithms and applications of tensor computation.
The topics to be covered include:
tensor algebra, tensor space, various tensor ranks
(cp-rank, multi-linear rank, border rank, symmetric rank),
tensor decompositions, tucker decompositions,
low rank approximations,
tensor eigenvalues and singular values,
nuclear norms, tensor completion/recovery,
and other related applications.
- Consent by Instructor.
Not required books.
Homework/Projects will be assigned and collected in class.
Please write your names, ID nubmers, and section numbers on your submissions,
and staple together your pages.
There will be no written exams in this class.
The final course grade will be based on the performance
of completing homework/project assignments.
Every student is expected to conduct themselves with academic integrity.
Any kind of cheatings is not allowed in this course.
Violations of academic integrity will be treated seriously.
UCSD Policy on Integrity of Scholarship.