각종 학업관련 공고가 올라오는 게시판입니다. (예, 장학생 선발) 관련 소식을 아시는 분은 president@kgsa.net으로 알려주시면 공고를 올려드리겠습니다.
IEOR (산업공학)과 학생들이 과 밖에서 들은 수업에 대해 개인적인 견해를 적은 글을 올립니다.
일단, 모든 의견들은 개인적 견해일 뿐이니 그저 참고만 하세요.
혹시 맘에 안 드는 글귀나 의견이 있으셔도 너그러이 보아주시기 바랍니다. 반대 의견을 올려 주셔도 좋구요
어디까지나 비공식적인, 그냥 서로 의견 교환하자고 만든 파일이니까요.
Information on some of the classes offered outside the
department
December, 2003
The following information was provided by some of our students who have taken classes in
other departments. It is intended to help IEOR students in finding useful courses outside
the department. Note, that in some cases different students had different opinion about
the same course.
Mathematics
MATH 104 (Introduction to Analysis)
Agust Egilsson, Fall 2002; Springer Verlag Introduction to Real Analysis" or so
Textbook is easy to read and helpful. Instructor was clear in the class. But some of
the materials could be a bit boring since this course is all about proving things that
you already know. Good material for your research. Strongly recommend for who is
considering Ph.D program. There are three or more exams in this course. Generally,
hard to get a good grade since it is an undergrad course (you know what I mean).
MATH 110 (Linear Algebra)
MATH H110, honors; Kenneth A. Ribet, Fall 2003; Friedberg, Insel, and Spence,
Linear Algebra" 4th ed.
Certainly one of the most interesting courses that I took this semester. I had done
linear algebra before in my undergraduate school back in India, but this one was
better by miles! The focus of the course is theory and only theory. However, the
instructor was very good, and so people were happy. We covered everything from
the basic de¯nition of a vector space to the Jordan canonical form. There were
14 assignements (all pretty long), but all of them were exciting problems (mostly
from the textbook, but sometimes the instructor used to give some very interesting
ones from outside the book). Two midterms (one okay, one out of the world!). I
do not think you need lots of prereqs for this course, and of course, you need some
interest in pure mathematics to take this one. Some things that I found useful from
the course were that I could prove some theorems in IEOR 262A that were not
proved in class, and could make out some bits and pieces of the talk on semide¯nite
programming in the IEOR monday seminar.
² Ilan Hirschberg, Summer 2002
I took Math 110 from a graduate student named Ilan Hirschberg. This class was
awful and I encourage people to avoid any courses Ilan might teach in the future. He
talked down to students and did not teach the material well or provide a textbook.
Out of a class that originally had 50 people, including at least one other IEOR grad,
only 10 remained at the end. Alas, I was one of the unfortunate few too stubborn
to transfer to another section.
² Prof. Aschenbrenner, Spring 2002
Good for basic matrix literacy (E.g. What are generalized eigenvalues and Jordon
canonical form anyway?) I wish I'd had it before IEOR 262A. Aschenbrenner's style
is a bit like Ross's: well organized, thorough, breakneck fast, lots of notes, questions
invited but not expected, ¯rst test is a killer and then its downhill. He is slightly
inaccessible outside of class. He's German but very easy to understand; unfortu-
nately he has occassional trouble understanding students' real questions (could be
language, but I doubt it). On a scale from 1 to 10, it gets a 7 from me.
MATH 172 (Combinatorics)
Prof. Haiman, Spring 2002
I took Math 172 from Prof. Haiman and it was a very good course. The Professor was
well prepared and gave interesting lectures and the workload was tough but rewarding.
This may be best for students who have had some abstract math before.
MATH 202A (Introduction to Topology and Analysis)
A graduate class covering point-set topology; learn how the structure of a metric space is
just one of many possibilities for structuring a mathematical space. Understand concepts
like compactness, connectedness, and continuity on a fundemental level. Learn about
topological groups, topological vector spaces, and a little about Banach Spaces and Hilbert Spaces.
MATH 214 (Di?erentiable Manifolds)
A graduate course on di?erentiable manifolds and geometry; learn about the additional
structure required in a general mathematical space in order to di?erentiate and integrate.
Learn about the tangent space and vector ¯elds and analyze O.D.E.s within this frame-
work. Learn about Lie Groups (e.g. the special orthogonal group of nxn matrices), the
Lie algebra, and it's calculus. Learn about the Grassman Algebra, di?erential forms, and
the volume element. Learn about Riemmanian Manifolds and curvature.
MATH 221 (Advanced Matrix Computations)
Prof 's J.Demmel or J. Strain; text: J. Demmel, Numerical Linear Algebra"
Numerical linear algebra. This course covers various algorithms and computational as-
pects of linear algebra. Topics covered are: solving linear systems, decomposition of
matrices (singular value, QR, Cholesky), solving least squares problems, eigenvalue algo-
rithms for symmetric matrices, generalized eigenvalue problem. The course deals a lot
with the numerical stability aspects: condition number, error analysis. Many compu-
tational exercises are assigned (Matlab, C, Fortran). Professor Demmel is a little more
intense than professor Strain (he goes a bit faster) but both are good lecturers and are
very accessible outside the class.
MATH 228A (Numerical Solutions of Ordinary Di?erential Equa-
tions)
Prof 's Keith Miller, Ole Hald or John Strain, text: Used to be notes by K. Miller, but
now there're a couple of books: Numerical methods for ordinary differential systems : the
initial value problem" by J.D. Lambert and/or some other.
My advice: do not take this course with Prof. Miller; he is the nicest guy, but you will
fall asleep during his lectures. Take it with Hald or Strain, it will be a bit harder but
worth it.
일단, 모든 의견들은 개인적 견해일 뿐이니 그저 참고만 하세요.
혹시 맘에 안 드는 글귀나 의견이 있으셔도 너그러이 보아주시기 바랍니다. 반대 의견을 올려 주셔도 좋구요
어디까지나 비공식적인, 그냥 서로 의견 교환하자고 만든 파일이니까요.
Information on some of the classes offered outside the
department
December, 2003
The following information was provided by some of our students who have taken classes in
other departments. It is intended to help IEOR students in finding useful courses outside
the department. Note, that in some cases different students had different opinion about
the same course.
Mathematics
MATH 104 (Introduction to Analysis)
Agust Egilsson, Fall 2002; Springer Verlag Introduction to Real Analysis" or so
Textbook is easy to read and helpful. Instructor was clear in the class. But some of
the materials could be a bit boring since this course is all about proving things that
you already know. Good material for your research. Strongly recommend for who is
considering Ph.D program. There are three or more exams in this course. Generally,
hard to get a good grade since it is an undergrad course (you know what I mean).
MATH 110 (Linear Algebra)
MATH H110, honors; Kenneth A. Ribet, Fall 2003; Friedberg, Insel, and Spence,
Linear Algebra" 4th ed.
Certainly one of the most interesting courses that I took this semester. I had done
linear algebra before in my undergraduate school back in India, but this one was
better by miles! The focus of the course is theory and only theory. However, the
instructor was very good, and so people were happy. We covered everything from
the basic de¯nition of a vector space to the Jordan canonical form. There were
14 assignements (all pretty long), but all of them were exciting problems (mostly
from the textbook, but sometimes the instructor used to give some very interesting
ones from outside the book). Two midterms (one okay, one out of the world!). I
do not think you need lots of prereqs for this course, and of course, you need some
interest in pure mathematics to take this one. Some things that I found useful from
the course were that I could prove some theorems in IEOR 262A that were not
proved in class, and could make out some bits and pieces of the talk on semide¯nite
programming in the IEOR monday seminar.
² Ilan Hirschberg, Summer 2002
I took Math 110 from a graduate student named Ilan Hirschberg. This class was
awful and I encourage people to avoid any courses Ilan might teach in the future. He
talked down to students and did not teach the material well or provide a textbook.
Out of a class that originally had 50 people, including at least one other IEOR grad,
only 10 remained at the end. Alas, I was one of the unfortunate few too stubborn
to transfer to another section.
² Prof. Aschenbrenner, Spring 2002
Good for basic matrix literacy (E.g. What are generalized eigenvalues and Jordon
canonical form anyway?) I wish I'd had it before IEOR 262A. Aschenbrenner's style
is a bit like Ross's: well organized, thorough, breakneck fast, lots of notes, questions
invited but not expected, ¯rst test is a killer and then its downhill. He is slightly
inaccessible outside of class. He's German but very easy to understand; unfortu-
nately he has occassional trouble understanding students' real questions (could be
language, but I doubt it). On a scale from 1 to 10, it gets a 7 from me.
MATH 172 (Combinatorics)
Prof. Haiman, Spring 2002
I took Math 172 from Prof. Haiman and it was a very good course. The Professor was
well prepared and gave interesting lectures and the workload was tough but rewarding.
This may be best for students who have had some abstract math before.
MATH 202A (Introduction to Topology and Analysis)
A graduate class covering point-set topology; learn how the structure of a metric space is
just one of many possibilities for structuring a mathematical space. Understand concepts
like compactness, connectedness, and continuity on a fundemental level. Learn about
topological groups, topological vector spaces, and a little about Banach Spaces and Hilbert Spaces.
MATH 214 (Di?erentiable Manifolds)
A graduate course on di?erentiable manifolds and geometry; learn about the additional
structure required in a general mathematical space in order to di?erentiate and integrate.
Learn about the tangent space and vector ¯elds and analyze O.D.E.s within this frame-
work. Learn about Lie Groups (e.g. the special orthogonal group of nxn matrices), the
Lie algebra, and it's calculus. Learn about the Grassman Algebra, di?erential forms, and
the volume element. Learn about Riemmanian Manifolds and curvature.
MATH 221 (Advanced Matrix Computations)
Prof 's J.Demmel or J. Strain; text: J. Demmel, Numerical Linear Algebra"
Numerical linear algebra. This course covers various algorithms and computational as-
pects of linear algebra. Topics covered are: solving linear systems, decomposition of
matrices (singular value, QR, Cholesky), solving least squares problems, eigenvalue algo-
rithms for symmetric matrices, generalized eigenvalue problem. The course deals a lot
with the numerical stability aspects: condition number, error analysis. Many compu-
tational exercises are assigned (Matlab, C, Fortran). Professor Demmel is a little more
intense than professor Strain (he goes a bit faster) but both are good lecturers and are
very accessible outside the class.
MATH 228A (Numerical Solutions of Ordinary Di?erential Equa-
tions)
Prof 's Keith Miller, Ole Hald or John Strain, text: Used to be notes by K. Miller, but
now there're a couple of books: Numerical methods for ordinary differential systems : the
initial value problem" by J.D. Lambert and/or some other.
My advice: do not take this course with Prof. Miller; he is the nicest guy, but you will
fall asleep during his lectures. Take it with Hald or Strain, it will be a bit harder but
worth it.
