Monday, July 20, 2020

Student Data Analysis Position at Cal Poly

Dr. Anurag Pande is a transportation engineering professor at Cal Poly and uses statistical analysis in his teaching and research regularly. If you would be interested in helping him with research/instruction using your R skills please reach out to him by email: at your earliest convenience.

The work is paid in the range of $15-$18 per hour and there would be 5 to 10 hours of work every week. It will be data analysis/processing tasks and possibly teaching some engineering students to do it as well.

When responding to Dr. Pande, please let him know of your weekly availability for the following week.

Wednesday, July 8, 2020

Upcoming Competition: Mathematical Contest in Modeling

There's an international competition in mathematical modeling held every year over 4 days in January or February called the Mathematical Contest in Modeling (or MCM) This contest is open to any undergraduate student enrolled at Cal Poly (full or part-time) and is appropriate for students at any level: first-year students to those about to graduate. It is open to any major as well - it can be a competitive advantage in the MCM to have an interdisciplinary team.

We offer a support 2 unit support course, Math 371, to coach the teams competing the MCM. This year, Math 371 will be offered in the Fall quarter (FQ20), MW 6-7pm.

You do not need to enroll in Math 371 to compete in the MCM, but it's strongly recommended that you do -- epsecially if you haven't not competed in the MCM before. Details about the MCM competition and the Math 371 course are given below. If you are interested in the competition, please contact me and/or enroll in Math 371.


The MCM is an international competition, held over 4 days, where teams of three undergraduates construct mathematical models to investigate and present solutions for real world problems. Teams choose one of three problems posted online at the start of the contest and submit a detail report of their model and solution within 4 days: problems appear Thursday, 5pm and reports are due online before Monday, 5pm. Generally one of the problems is designed for modeling using continuous mathematics, one for modeling with discrete mathematics, and one typically involves the analysis of a given data set. Topics are often drawn from real world issues, but some are more whimsical. Some recent problems:

Design a drone-based disaster relief program fro Puerto Rico after a hurricane.
Modeling the merging of traffic on a multi-lane highway after a toll booth.
Build a mathematical model to assist in a search for a lost plane that crashed in the open ocean.
Model the behavior of the dragons from the Game of Thrones fictional world including their impact on the local eco-systems.

The Mathematics Department provides space and support for the competing teams during the contest. More information and the problems from the contest of many previous years can be found on the web site:

Math 371, Math Modeling Seminar, a 2-unit support course for the MCM. It is expected that all students enrolled in Math 371 will participate in the competition. However, you do not need to enroll in Math 371 to participate in the contest. The course is scheduled to meet MW 6-7pm.

Dr. Charles D. Camp
Assistant Professor
Mathematics Department
California Polytechnic State University
San Luis Obispo, CA 93407-3407
office: 25-309
ph: (805) 756-1661
fax: (805) 756-6537

Tuesday, June 16, 2020

Call for Posters: Data Science and Advanced Analytics Conference

Call for Student Posters


  • Student Poster Submission Due: 3 Jul. 2020
  • Student Poster Notification: 26 Jul. 2020
  • Student Poster Camera Ready Due: 9 Aug. 2020

Student Poster Session
DSAA’2020 will feature a peer-reviewed Student Poster session to showcase state-of-the-art and early-stage research developments by students in data science and analytics disciplines on topics that are of interest to either the research or the application of data science and analytics.

All accepted posters will be presented in the Student Poster sessions, specifications for preparing the posters will be given separately.

Paper Formatting, Length, and Double-blind Reviewing
The Student Poster paper length is a maximum of two (2) pages. The format for Student Poster papers is the standard 2-column U.S. letter style IEEE Conference template. See the IEEE Proceedings Author Guidelines: for further information and instructions.

All poster submissions will be double-blind reviewed by the Program Committee on the basis of technical quality, relevance to the conference’s topics of interest, originality, significance, and clarity. Author names and affiliations must not appear in the submissions, and bibliographic references must be adjusted to preserve author anonymity. Submissions failing to comply with paper formatting and authors anonymity will be rejected without reviews.

Because of the double-blind review process, non-anonymous papers that have been issued as technical reports or similar cannot be considered for DSAA’2020. An exception to this rule applies to arXiv papers that were published in arXiv at least a month prior to the DSAA’2020 submission deadline. Authors can submit these arXiv papers to DSAA provided that the submitted paper’s title and abstract are different from the ones appearing in arXiv. Papers that appear in arXiv from the DSAA’2020 submission deadline until the review process has ended, are not allowed.

For more information visit

Monday, June 15, 2020

On Campus Stats/Data Student Position: The Mustang News

The Mustang Media Group, specifically Mustang News, is looking for someone who is eager to have hands-on experience gathering, interpreting, and visualizing data. This is a paid position. Last year, we had a graduating statistics senior who worked primarily with our news data team The Hill. This year's responsibilities included:
  • Gathering and cleaning data
  • Interpreting statistics
  • Consulting on/producing visualizations for Mustang News stories
The previous person in this position also mentioned developing scripts to scrape data online using R, so some familiarity with that program would be appreciated (but is not required).

If a student is interested, they can apply at

Wednesday, May 13, 2020

Graduate Opportunities for Women (GROW) Conference 2020

The Graduate Opportunities for Women (GROW) 2020 conference for undergraduate students is being held October 23-25 in Chicago. GROW 2020 is aimed at female-identified undergraduate students who may be interested in pursuing a graduate degree in the mathematical sciences and is open to undergraduates from around the U.S. The conference will be hosted at the University of Chicago this coming fall. Further details are available on the conference webpage, and there is an application form for students who are interested in attending.

MS in Data Science at San Jose State University

The Department of Computer Science and the Department of Mathematics and Statistics have combined their existing talents and resources to offer a MS in Data Science. This degree is designed for students with an undergraduate degree in the sciences or engineering, and it provides both mathematical and algorithmic foundational knowledge and practical programming skills for data science careers. Upon completion of this program, students will be able to:

Design and implement complete solutions using massive amounts of data based on artificial-intelligence, machine-learning, or statistical-analysis methods.
Design and implement new methods to capture and analyze massive amounts of data.
Use and improve existing tools for capturing and analyzing massive amounts of data.

This degree assists those with a baccalaureate degree in the sciences or engineering to pursue a data science career by providing them with a rigorous and affordable education in mathematics, statistics, computer science and machine learning. Graduates will appeal to a number of data-based careers including but not limited to data scientist, data analyst, data mining specialist, machine learning engineer, and data and analytics manager.

TA positions are available to qualified applicants. TA's get a partial or full in-state tuition waiver and a salary, both of which depend on the teaching assignment. Applications are still be accepted to theMA Math, MS (Applied) Math and MS Statistics programs as well. The application deadline is June 1.

Visit the MS Data Science website to learn more.

Apply Now