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This is the first ever course of its kind on Matrix Analysis. Matrices are generally awesome and since most of us use Matlab, it would help to know more about them. | This is the first ever course of its kind on Matrix Analysis. Matrices are generally awesome and since most of us use Matlab, it would help to know more about them. | ||
=== Instructors === | === Instructors === | ||
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* Office: 567 Evans | * Office: 567 Evans | ||
[http://redwood.berkeley.edu/mayur Mayur Mudigonda] | [http://redwood.berkeley.edu/mayur Mayur Mudigonda] Web stuff | ||
=== Lectures === | === Lectures === | ||
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=== Enrollment information === | === Enrollment information === | ||
Open to all interested members of the Berkeley community. The lectures will not be recorded, so attending the fortnightly talks and e-mails are the only interactions. | |||
=== Email list and forum === | === Email list and forum === | ||
=== Grading === | === Grading === | ||
Self-grading with solutions in class. Since this is the first time this class is being offered, the details are still under work. | |||
=== Required background=== | === Required background=== | ||
Prerequisites are calculus, ordinary differential equations, basic probability and statistics, and linear algebra. Familiarity with programming in a high level language such as Matlab is also required. | Prerequisites are calculus, ordinary differential equations, basic probability and statistics, and linear algebra. Familiarity with programming in a high level language such as Matlab is also required. | ||
=== Textbooks === | === Textbooks === | ||
Matrix Analysis, Horn and Johnson. | |||
[http://www.maths.gla.ac.uk/~ajb/dvi-ps/2w-notes.pdf Basic Linear Algebra Notes] | |||
Revision as of 08:38, 20 February 2013
This is the spring '13 Matrix analysis class wiki
Course description
This is the first ever course of its kind on Matrix Analysis. Matrices are generally awesome and since most of us use Matlab, it would help to know more about them.
Instructors
[Chris Hillar]
- Website
- Office: 573 Evans
- Office hours: immediately following lecture or through e-mail
[Sarah Marzen], Scribe and GSI
- Email:
- Office: 567 Evans
Mayur Mudigonda Web stuff
Lectures
- Location: 560 Evans (Redwood Center Conference Hall)
- Times: First and Third Thursdays - 3:30 PM to 5 PM
Enrollment information
Open to all interested members of the Berkeley community. The lectures will not be recorded, so attending the fortnightly talks and e-mails are the only interactions.
Email list and forum
Grading
Self-grading with solutions in class. Since this is the first time this class is being offered, the details are still under work.
Required background
Prerequisites are calculus, ordinary differential equations, basic probability and statistics, and linear algebra. Familiarity with programming in a high level language such as Matlab is also required.
Textbooks
Matrix Analysis, Horn and Johnson. Basic Linear Algebra Notes
