(Email sent on 2nd Jan 2023 through moodle.)
Subject: [EE636]: Logistics of class, quiz schedules, weightages, pre-requisites, etc.

Dear EE636 course participants,

Thank you for your interest in the EE636 (Matrix Computations)
course.
Our first class is today (Monday 2nd Jan) at 5:30pm:sharp
(and then each Monday/Thursday at 5:30pm: sharp).

Classroom: Gaitonde ground floor: EEG001

Below in this email are further logistics/course-pre-requisites,
etc.

First quiz: weightage 7%: 9th Jan (Monday) at 9:15pm-10pm.
   (Venue to be announced later).
No quiz/midsem would have a "compensatory retest" (if you
miss/do-badly/etc).
Hence please ensure you are free/available and also prepare
nicely.

Office hours: All Weekdays 12noon to 12:40pm (except institute
holidays)
in my office-room (EE237A, 2nd floor of EE-main building). Call
me on 9987466279
if you don't find me there. (I would be nearby.) Of course, fixing up
over email for that time or other time is also welcome.

Tutorials: please solve the provided tutorial-sheet diligently.
  Discuss yourselves.
  Of course, also discuss with TAs (in the interaction session, when
  it is held).
  But we are *NOT* "providing" solutions by email/website/classroom.
  Interaction-sessions are to be used for help to solve YOURSELF.
  You will find slight tweaks of tutorial problems also
  in quizzes/exams: hence please do pursue till the last problem!

Pre-requisite: please read this part carefully: course would be
   too hard if the pre-requisite is not sufficiently familiar to you.
 - Linear algebra (rank, eigenvalue, eigenvectors,
   solution of Ax=b: existence, uniqueness, all-solutions (when
   non-unique), range (image/column-space), kernel (null-space),
   rank-nullity theorem, orthogonal matrices).  Eigenvalues/eigenvectors.

Course contents:
 - norms, SVD, concept of stability of algorithms, Ax=b
   solution procedures, LU factorization, QR factorization,
   Givens rotation, Householder reflections,
   flop count, error analysis and
   backward/forward stability of methods,
 - eigenvalue/eigenvector computation, Schur forms, power-iteration,
   Hessenberg forms, symmetric/positive-definite matrices, normal
   matrices, conjugate gradient methods for solving Ax=b

Exam-policy:
  - quiz 1:  7% (on 9th Jan, Monday, night 9:15pm)
  - midsem: 28% (during midsem week)
  - quiz 2: 28% in end-March or early-April
  - endsem: 37% (balance)

Attendance: 80% mandatory for not getting the DX grade.
No weightage/marks for attendance.

Books: (by and large: the first one, but others will help
students)
  - Golub & van Loan: Matrix Computations
  - Watkins: Fundamentals of Matrix Computations
  - Trefethen: Numerical Linear Algebra
  (soft copies will be made available. Buying/xeroxing is
optional.

I will soon put up last year's quiz/tutorial sheets on
a course-webpage (to be announced soon).

See you today (Monday 2nd Jan) and thanks again for your
interest,
With regards,
Madhu (EE636 course instructor)

PS:
 1. Last and *the-Most*: for your emails to not get missed,
   I insist that you have to put "[EE636]" within the subject.
   Else the emails won't get found by me. Please remember this rule.
   Further, please contact me by *EMAIL* only: not on any other
   messaging system (not on MSTeams, nor through moodle's posting.)

 2. Please write your mobile number in any query you send
   me by email (preferred): this way, I can reach you for any quick
   clarification. Mine is: 99 874 66 279. (But I prefer email and
*NOT* whatsapp.)