The CS Department will be hosting a talk for majors with Bryan Alexander (http://bryanalexander.org/) this Friday, March 13 on “The future of Gaming and Mobile Technologies, and the Effect on CS Education”
March 9th, 2015
February 22nd, 2015
Last week during the ACM Richard Tapia Celebration of Diversity in Computing, recent alumna Krista LaFentres ’14 presented a poster on her work with Professor Cynthia Taylor on The Use and Misuse of Disposable Email.
October 1st, 2014
Thinking about pursuing a CS job, winter term, or internship in the future?
Join us Tuesday, Oct 7 from 12:15-1:15pm in King 337 to meet with CS faculty and Richard Berman from Oberlin’s Career Center to talk about:
- Strategies for finding positions
- What industries employ computer scientists
- CS-related jobs that aren’t just software engineering
- Reaching out to CS alumni
- Deciding between grad school vs. industry
- When to start looking for jobs
- How the faculty and staff at Oberlin can help you
RSVP by Monday with Jackie in King 223 and sign up for pizza!
April 9th, 2014
Join us on Friday, April 9 for a 12-1pm talk by Beenish Chaudhry entitled: “Putting Healthcare in Your Hands” in King 235.
Abstract: Our healthcare system is undergoing a seismic shift that is breaking the old information asymmetry – where doctors had all the information and patients had very little – now technology is being used to collect data to give patients an easy way to access key facts and gain knowledge for decisions about health. While we know how to target this information for the affluent and their lifestyles, what are we doing for those with low socioeconomic background? In this talk, you will learn about technology design challenges and solutions for this population, and what needs to be done in the future.
February 11th, 2014
Join professors Kate Jones-Smith (physics & astronomy), Chelsea Martinez (chemistry), Cynthia Taylor (computer science), and Leslie Kwakye (neuroscience) for a panel discussion on their careers in the sciences.
We invite scientists and non-scientists alike to attend and participate in what we hope will be an interesting, informative, and fun event.
When: Tuesday, February 11 at 4:45pm to 6:00pm
Where: Norman C. Craig Lecture Hall, Science Center
The session is part of the Roots & STEM events series exploring the human makeup of science, technology, engineering, and mathematics.
January 29th, 2014
Mark Allman, International Computer Science Institute will give a talk. The Domain Name System (DNS) is a crucial piece of the Internet’s fabric, charged with mapping human-friendly names into network addresses. This talk highlights several recent projects that aim to explore and understand how the modern DNS ecosystem has organically developed. We will first tackle the complexity of the system and then illustrate how that complexity causes potential security vulnerabilities. Finally, we will briefly sketch several possible mitigations to these security issues– which is the subject of ongoing work.
FEB. 11, 12:20 p.m. King 239 Refreshments will be served.
November 26th, 2013
Come an learn new tricks for programming in Python including:
- list comprehensions
- higher-order functions (+ map, filter, reduce)
- sets and other useful data structures
- with statements/context managers
- the power of the python syntax
November 12th, 2013
On Thursday, November 14 there will be a talk by Dr. Matt Kretchmar of Denison University entitled Automated Identification of Text Message Authors: Was that really you who sent that text message?
Reception with light refreshments at 4:00pm in King 225, talk to follow at 4:30pm in King 239
Abstract: This talk is about the application of machine learning techniques to the problem of classifying authors of text messages. We use kernel-based support vector machines to build an automated classifier that uses statistical idiosyncrasies to distinguish one sender from others.
The talk is aimed at general undergraduate students in both mathematics and computer science.
October 30th, 2013
Wednesday, November 6 NOON King 237
Thomas G. Dietterich of Oregon State University will present:
Opportunities for Machine Learning in Ecological Science and Ecosystem Management How can computer science address the many challenges of managing the earth's ecosystems sustainably? Viewed as a control problem, ecosystem management is challenging for two reasons. First, we lack good models of the function and structure of the earth's ecosystems. Second, it is difficult to compute optimal management policies because ecosystems exhibit complex spatio-temporal interactions at multiple scales. This talk will discuss some of the many challenges and opportunities for machine learning research in computational sustainability. These include sensor placement, data interpretation, model fitting, computing robust optimal policies, and finally executing those policies successfully. I'll provide examples from current work and discuss open problems in each of these areas. All of these sustainability problems involve spatial modeling and optimization, and all of them can be usefully conceived in terms of facilitating or preventing flows along edges in spatial networks. For example, encouraging the recovery of endangered species involves creating a network of suitable habitat and encouraging spread along the edges of the network. Conversely, preventing the spread of diseases, invasive species, and pollutants involves preventing flow along edges of networks. Addressing these problems will require advances in several areas of machine learning and optimization.