Course Syllabus: MATH 277A (Tensor Computation), Fall 2017

Instruction

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

Lectures

Time: 3:00 - 3:50 pm, MWF
Location: APM 2402

TA Contact Info

N/A

Course Description

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.

Prerequisite

Consent by Instructor.

Textbook

Not required books.

Homework/Project Assignments

Homework/Projects will be assigned and collected in class.
  • Homework Assignment #1, due on 10/25/2017
  • Please write your names, ID nubmers, and section numbers on your submissions, and staple together your pages.

    Exams

    There will be no written exams in this class.

    Grading

    The final course grade will be based on the performance of completing homework/project assignments.

    Academic Integrity

    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.

    See UCSD Policy on Integrity of Scholarship.