San
Marcos
Winter
School
2024

January 10th
        through
January 12th

Three days of mathematics for undergraduate and graduate students at TXST

January 10th through January 12th

|Courses |Schedule |Registration (Qualtrics Link) |

This is a minischool for undergraduate and graduate students interested in mathematics. It should be of interest specially but not exclusively to students interested in graduate school and/or a a career in industry involving applied mathematics. It will cover topics in analysis and scientific computing, assuming as only prerequisite a solid foundation in calculus and linear algebra. The three courses will broken in four lectures each covering all three days of the school. Lunch will be provided to students for each of the three days. Interested students must register via the link above -- and that is all that is needed to attend. This will be the first San Marcos Winter School, subsequent schools will be held at Texas State every January going forward.

Courses


Rene Cabrera (UT Austin)

Convex geometry and analysis


Nestor Guillen (Texas State)

Optimal control and partial differential equations


Ray Treinen (Texas State)

An invitation to numerical analysis


Course materials (slides, lecture notes, code) will be posted here.

Prof. Treinen's will require a personal computer for in-class activities.

Schedule


All activities will take place in Derrick Hall 334.

Time Day 1 Day 2 Day 3
09:00 am - 09:20 am Welcome and setup Informal discussion Informal discussion
09:20 am - 10:30 am Guillen Lecture 1 Guillen Lecture 3 Treinen Lecture 3
10:30 am - 10:50 am Break Break Break
10:50 am - 12:00 pm Treinen Lecture 1 Cabrera Lecture 1 Cabrera Lecture 3
12:00 pm - 01:30 pm Lunch break Group photo / Lunch break Lunch break
01:30 pm - 02:40 pm Guillen Lecture 2 Guillen Lecture 4 Treinen Lecture 4
02:40 pm - 03:00 pm Break Break Break
03:00 pm - 04:10 pm Treinen Lecture 2 Cabrera Lecture 2 Cabrera Lecture 4
04:10 pm - 04:30 pm Informal discussion Informal discussion Informal discussion
We gratefully acknowledge support from the National Science Foundation through Award # DMS-2144232