scholarly journals Teaching Undergraduate Artificial Intelligence Classes: An Experiment with an Attendance Requirement

2020 ◽  
Vol 34 (09) ◽  
pp. 13374-13380
Author(s):  
Sven Koenig ◽  
Tansel Uras ◽  
Liron Cohen

We report on an experiment that we performed when we taught the undergraduate artificial intelligence class at the University of Southern California. We taught it – under very similar conditions – once with and once without an attendance requirement. The attendance requirement substantially increased the attendance of the students. It did not substantially affect their performance but decreased their course ratings across all categories in the official course evaluation, whose results happened to be biased toward the opinions of the students attending the lectures. For example, the overall rating of the instructor was 0.89 lower (on a 1-5 scale) with the attendance requirement and the overall rating of the class was 0.85 lower. Thus, the attendance requirement, combined with the policy for administering the course evaluation, had a large impact on the course ratings, which is a problem if the course ratings influence decisions on promotions, tenure, and salary increments for the instructors but also demonstrates the potential for the manipulation of course ratings.

AI Magazine ◽  
2020 ◽  
Vol 41 (1) ◽  
pp. 90-100
Author(s):  
Sven Koenig

Begin with the end in mind!1 PhD students in artificial intelligence can start to prepare for their career after their PhD degree immediately when joining graduate school, and probably in many more ways than they think. To help them with that, I asked current PhD students and recent PhD computer-science graduates from the University of Southern California and my own PhD students to recount the important lessons they learned (perhaps too late) and added the advice of Nobel Prize and Turing Award winners and many other researchers (including my own reflections), to create this article.


AI Magazine ◽  
2019 ◽  
Vol 40 (4) ◽  
pp. 6-8
Author(s):  
Yolanda Gil ◽  
Biplav Srivastava ◽  
Ching-Hua Chen ◽  
Oshani Seneviratne

This article contains the observations of Yolanda Gil, director of knowledge technologies and research professor at the Information Sciences Institute of the University of Southern California, USA, and president of Association for Advancement of Artificial Intelligence who was recently interviewed about the factors that could influence successful AI research. The editorial team interviewers included members of the special track editorial team from IBM Research (Biplav Srivastava, Ching-Hua Chen) and Rensselaer Polytechnic Institute (Oshani Seneviratne).


1981 ◽  
Vol 24 (1) ◽  
pp. 151-151
Author(s):  
Lillian Glass ◽  
Sharon R. Garber ◽  
T. Michael Speidel ◽  
Gerald M. Siegel ◽  
Edward Miller

An omission in the Table of Contents, December JSHR, has occurred. Lillian Glass, Ph.D., at the University of Southern California School of Medicine and School of Dentistry, was a co-author of the article "The Effects of Presentation on Noise and Dental Appliances on Speech" along with Sharon R. Garber, T. Michael Speidel, Gerald M. Siegel, and Edward Miller of the University of Minnesota, Minneapolis.


Author(s):  
John D. Evans ◽  
Christopher Bang

The authors introduce the EFAB™ manufacturing process originally invented at the University of Southern California and currently being commercialized by MEMGen Corporation. They discuss its significant recent evolution as an alternative to conventional microdevice manufacturing technologies, suggest a range of geometries and applications that are enabled by this process, and develop the case that EFAB represents a fundamental shift in the way the microdevices are manufactured.


1993 ◽  
Vol 79 (1) ◽  
pp. 145-148
Author(s):  
John H. Schneider ◽  
Martin H. Weiss ◽  
William T. Couldwell

✓ The Los Angeles County General Hospital has played an integral role in the development of medicine and neurosurgery in Southern California. From its fledgling beginnings, the University of Southern California School of Medicine has been closely affiliated with the hospital, providing the predominant source of clinicians to care for and to utilize as a teaching resource the immense and varied patient population it serves.


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