Email from dept:
The Math Department is happy to tell you about a new course sequence which is of interest to all our majors, and perhaps other students as well. In response to student requests and in an effort to improve our offerings, a new sequence in Numerical Analysis is being offered, starting Winter 2021 (enrollment will open in a week or two).
Numerical Analysis is the mathematics underlying approximate computational solutions to problems. It is a rich and diverse subject and in the standard 151A and 151B many important computational methods are covered. However, in 151A and 151B the emphasis is on implementation, not on understanding the accuracy of approximations or the convergence of algorithms. These topics are also suitable for a first course sequence in numerical analysis but it is best to add 131A as a prerequisite. Since many students take 151A after taking 131A, and since quite a few students have requested a course in which such topics are addressed, the new sequence makes sense. In addition, the new course will emphasize examples in areas of current interest such as imaging and data science. The syllabus of 151AH is online at https://ww3.math.ucla.edu/courses/ and the syllabus of 151BH will be posted early in Winter quarter. 151AH and 151BH are designed by Prof. Luminita Vese and Prof. Daniel McKenzie. They will be taught in Winter and Spring 2021 by Daniel McKenzie who is an excellent teacher.
The course has been created as an “honors course” but this is just a label and we used it because we wanted to create honors courses especially for the applied math track. You do not need to plan to enter the Honors program for your major to take it. In fact, the term “honors” here is used to represent the fact that the course sequence is an “upgrade” of 151AB. However, with respect to our Honors programs, 151AH and 151BH can be substituted for any of the honors courses except 115AH required by the current Honors programs for any of the majors except Mathematics. For example, the Applied Mathematics honors program currently requires 115AH, 131AH, 131BH and 132H. So you could take 115AH, 151AH, and 151BH and 132H.
Hi all, I'm new in numerics, I'm starting my masters in nuclear science, and I would like to start of the fundamentals in all this big and unfamiliar for me. It will be beneficial if the course/book will be practical, and the examples will be shown in Python. Thanks, Oren
Was wondering if anyone knew of an online numerical analysis course at another institution? Thanks!
Starting my fourth semester of college. I have the option to choose between Complex Analysis and Numerical Linear Algebra. Have completed calc upto differential equations and taken linear algebra as well. I don't have much experience with computational work (apart from some Matlab use in differential equations and python in an introductory programming course) which is why I'm leaning towards taking Numerical Linear Algebra, where we'll be using R a lot.
I am going to be taking Quantum the fifth semester, and I have heard that the concepts of linear algebra are quite important for that, which is why I think it might not be a bad idea to take Numerical Linear Algebra to revise those concepts as well.
I'm currently an undergraduate students (going in 3rd year), I had one question. Why does geology has such low amount of quantitative analysis ? So far I have taken, Applied Geophys I/II, Structural Geology, Stratigraphy, Minerology, Geochem, Earth Science 101 (from earth science department). For most of my courses when I asked question regarding how does one quantify this/that ... I always got negative and aggressive ans., literally no one explained logic behind stereographic projection.. it was more like here is the stereonet, here is how you plot the data, and here is how you identify this/that, and we had to do it on the blank piece of paper. Everything seems so pseudoscience, so hand-wavy. Only courses which were okey were geophysics.
Further, whenever I made this comment to my academic adviser, I was always told it gets more quantitative this/that year but it doesn't seem like it does. Some of the courses were really really seems to be lacking (as in you can study the whole course content adequately in 2-3 weeks by yourself). Is it normal, or is my uni really bad ? Btw does it get better (I will be taking physical hydrology, sedimentology, engineering geology.. in upcoming years). I would also wonder if there is involvement of ODEs/PDEs, Fluids, numerical modelling aspect of the geology that I can gear my path if possible.
I'm asking this because I'm thinking of transferring into enviro. engineering from geo. engineering.
Have a nice day :) and thanks :)
I am planning to self-study the basics of numerical analysis over the course of the next couple of weeks. I posted last week on /r/math and there were a couple people who were interested in joining me. If enough people are interested here as well, I wanted to make this a student-run course.
My plan was to follow the UC Berkeley Numerical analysis course curriculum. There is a table near the middle, highlighting assignments and readings and things. I think (because it's summer) this can be compressed to a 7-8 week course with more or less the same material. Shorter if topics are removed. Supplementary material will be from MITOCW.
Because this will be student run, I was hoping participating students could add whatever flavor of their favorite topics whenever relevant. As such, depending on the week, we could add/remove things from the syllabus I linked accordingly (depending on their importance).
EDIT: course is up and will begin soon!
Welcome to the numerical analysis self-study group. I will be following the syllabus provided here. The syllabus here provides a course outline requiring about 14 weeks, but because this is self-study, I think we can compress this to just 7-8 weeks. This means our schedule will be equivalent to 4 "lectures" a week, which seems do-able given the size of the psets.
To note, I will be referring to the 9th edition of the book in the link because that is the one to which I have access. If anyone has trouble finding the book but still wants to participate, please pm me!
Almost all announcements, problem-sets, and solutions will be on this subreddit. I also highly, highly encourage participants to post questions, topics of interest or confusion, etc. To further encourage discussions, I will be hosting a skype or google+ hangout call to discuss any problem of interest from the week's required work once or twice a week. To do so, please fill this doodle and pm me your skype or google+ (whichever you prefer more).
I want to emphasize that I am not a teacher in this subject. I am as much a student as everyone else is. That being said, I look forward to learning and working with everybody for these next couple weeks!
First problem set announcement will be up tomorrow night! When its expected to be finished and such will be detailed in its respective post.
I was planning on self-studying numerical analysis, primarily by following this curriculum. (UC Berkeley numerical analysis course) in conjunction with this (the MIT OCW numerical analysis course material).
I was wondering if anybody would be interested in joining me on this endeavor. While this is a lot of material, I can organize what to do for when. With that, we can discuss solutions, problems, and concepts and such. If there is enough interest, I can even make this like an informal reading course on University of Reddit, which might be fun!
(Note: This will be the first of a couple of these self-study "reading courses" I will be doing over the summer. So, if you are not interested in learning numerical analysis, I will also be doing complex analysis for definite. Other stuff will be based on interest/demand.)