Upcoming events

CS&E Colloquium: Software Engineering for Data Analytics (SE4DA)

The computer science colloquium takes place on Mondays from 11:15 a.m. - 12:15 p.m.

This week's talk is part of the Cray Distinguished Speaker Series. This series was established in 1981 by an endowment from Cray Research and brings distinguished visitors to the Department of Computer Science & Engineering every year. 

This week's speaker is Miryung Kim from the University of California, Los Angeles.

Abstract

We are at an inflection point where software engineering meets the data-centric world of big data, machine learning, and artificial intelligence.   As software development gradually shifts to the development of data analytics with AI and ML technologies, existing software engineering techniques must be re-imagined to provide the productivity gains that developers desire. We conducted a large scale study of almost 800 professional data scientists in the software industry to investigate what a data scientist is, what data scientists do, and what challenges they face. This study has found that ensuring correctness is a huge problem in data analytics.

We argue for re-targeting software engineering research to address new challenges in the era of data-centric software development. We showcase a few examples of my group's research on debugging and testing of data-intensive applications: e.g., data provenance, symbolic-execution based test generation, and fuzz testing in Apache Spark. We then conclude with open problems in software engineering to meet the needs of AI and ML workforce.

Biography

Miryung Kim is a Full Professor in the Department of Computer Science at the University of California, Los Angeles. She is known for her research on code clones---code duplication detection, management, and removal solutions. Recently, she has taken a leadership role in defining the emerging area of software engineering for data science. She received her B.S. in Computer Science from Korea Advanced Institute of Science and Technology and her M.S. and Ph.D. in Computer Science and Engineering from the University of Washington.  She received various awards including an NSF CAREER award, Google Faculty Research Award, Okawa Foundation Research Award, and Alexander von Humboldt Foundation Fellowship. She was previously an assistant professor at the University of Texas at Austin and also spent time as a visiting researcher at Microsoft Research. She is the lead organizer of a Dagstuhl Seminar on SE4ML---Software Engineering for AI-ML based Systems. She is a Keynote Speaker at ASE 2019, a Program Co-Chair of ESEC/FSE 2022, and an Associate Editor of IEEE Transactions on Software Engineering.

IMA Data Science Seminar: An Optimal Transport Perspective on Uncertainty Propagation

Data science seminars hosted by the The Institute for Mathematics and Its Applications (IMA) take place on Tuesdays from 1:25 p.m. - 2:25 p.m.

This week, Amir Sagiv (Columbia University), will be giving a lecture titled "An Optimal Transport Perspective on Uncertainty Propagation".

Registration is required to access the Zoom webinar.

Abstract

In many scientific areas, a deterministic model (e.g., a differential equation) is equipped with parameters. In practice, these parameters might be uncertain or noisy, and so an honest model should provide a statistical description of the quantity of interest. Underlying this computational question is a fundamental one - If two "similar" functions push-forward the same measure, are the new resulting measures close, and if so, in what sense? I will first show how the probability density function (PDF) can be approximated, using spectral and local methods, and present applications to nonlinear optics. We will then discuss the limitations of PDF approximation, and present an alternative Wasserstein-distance formulation of this problem, which yields a much simpler theory.

Biography

Amir Sagiv is a Chu Assistant Professor of Applied Mathematics at Columbia University. Before that, Amir completed his Ph.D. in Applied Mathematics at Tel Aviv University.

View the full list of IMA data science seminars.

Graduate Programs Information Session

Prospective students can RSVP for an information session to learn about the following graduate programs:

  • Computer Science M.S.
  • Computer Science MCS
  • Computer Science Ph.D.
  • Data Science M.S.
  • Data Science Post-Baccalaureate Certificate

During the information session, we will go over the following:

  • Requirements (general)
  • Applying
  • Prerequisite requirements
  • What makes a strong applicant
  • Funding
  • Resources
  • Common questions
  • Questions from attendees

Graduate Programs Information Session

Prospective students can RSVP for an information session to learn about the following graduate programs:

  • Computer Science M.S.
  • Computer Science MCS
  • Computer Science Ph.D.
  • Data Science M.S.
  • Data Science Post-Baccalaureate Certificate

During the information session, we will go over the following:

  • Requirements (general)
  • Applying
  • Prerequisite requirements
  • What makes a strong applicant
  • Funding
  • Resources
  • Common questions
  • Questions from attendees

College of Science and Engineering Career Fair

Save the date for the Spring 2021 CSE Virtual Career Fair. Mark your calendar for Tuesday, February 9, 2021 and start preparing over winter break.

Spring 2021 CSE Virtual Career Fair
Tuesday, February 9, 2021
11 a.m.-6 p.m. Central Time
Virtual fair platform: Career Fair Plus

Similar to the Fall 2020 fair, the Spring fair will be held via the virtual platform, Career Fair Plus. The platform provides features that will allow you to connect personally with employers.

Virtual Career Fair features

  • No waiting in line! Students can pre-register for a time to speak with employers to video chat.
  • Speak with employers from the comfort and safety of your home.
  • Research employers prior to the fair, as well as during the fair by entering the employer's group chat and info session room.

Download the Career Fair Plus app

Download the Career Fair Plus App in the App Store for Apple devices or the Google Play Store for Android devices. Once downloaded, search for the University of Minnesota, then College of Science and Engineering Career Fair. Alternatively, you can view the event online.

You can use the app now to begin researching employers. Winter break is a great time to begin researching employers, and new employers are being added each day! Additional instructions on how to sign-up to speak with employers will be provided soon after the beginning of spring semester.

Get your resume ready and prepare for interviews

Visit the CSE Career Fair website for resume and cover letter writing guides, interviewing tips, advice from employers, and more.

Career counselors are also available over winter break for individual appointments. Please reach out by scheduling a virtual appointment or by sending an email to csecareer@umn.edu.

IMA Data Science Seminar: Using Telco Data to Fight Epidemics

Data science seminars hosted by the The Institute for Mathematics and Its Applications (IMA) take place on Tuesdays from 1:25 p.m. - 2:25 p.m.

This week, Kenth Monsen (Telenor Research), will be giving a lecture titled "Using Telco Data to Fight Epidemics".

Abstract

In this talk we will discuss telecom data to estimate human mobility at country-wide scales, and the utilization of such data to better understand the spread of infectious diseases like dengue, malaria and covid-19. This will further be complemented with insights and experiences gathered on privacy, data security, and the need to align solutions with national public health initiatives.

Biography

Kenth Engø-Monsen, PhD, is a senior research scientist and data scientist in Telenor Research. He is currently leading Telenor Group’s initiative on big data for social good. With more than 15 years of experience in telecom, Dr. Engø-Monsen has extensive knowledge in the field of telecom data, social network analysis, and applied research using mobile data. He is the co-inventor on numerous patents, has published numerous academic papers in mathematics, computer science, data science, and social science. He received his Master’s in 1995 in Industrial Mathematics from NTNU, Trondheim, Norway, and PhD in 2000 in Computer Science from University of Berge, Norway. 

View the full list of IMA data science seminars.

IMA Data Science Seminar

Data science seminars hosted by the The Institute for Mathematics and Its Applications (IMA) take place on Tuesdays from 1:25 p.m. - 2:25 p.m.

This week, Facundo Mémoli (The Ohio State University), will be giving the lecture

View the full list of IMA data science seminars.

IMA Data Science Seminar

Data science seminars hosted by the The Institute for Mathematics and Its Applications (IMA) take place on Tuesdays from 1:25 p.m. - 2:25 p.m.

This week, Jianfeng Lu (Duke University), will be giving the lecture

View the full list of IMA data science seminars.

IMA Data Science Seminar

Data science seminars hosted by the The Institute for Mathematics and Its Applications (IMA) take place on Tuesdays from 1:25 p.m. - 2:25 p.m.

This week, Lars Ruthotto (Emory University), will be giving the lecture

View the full list of IMA data science seminars.

Last day of instruction

The last day of instruction for the fall 2020 semester is Monday, May 3.

View the full academic schedule on One Stop.

The University of Minnesota and the greater Twin Cities area hosts many activities related to data science in a wide variety of specializations. Visit the following sites for more information on these activities.