Browsing by Subject "General Mills, Inc."
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Item Oral history interview with Carol Eymann Moller(Charles Babbage Institute, 2016-01-26) Moller, Carol EymannCarol Moller took courses at a branch of UCLA close to her childhood home in Los Angeles and then graduated from Stanford University in 1957 as a math major. She took a job as a computer programmer at Shell [Oil] Development in Emeryville, CA. She describes flow charting in machine language, batch processing with punch cards, and then the coming of FORTRAN. She and her husband came to Minnesota for his pediatrics residency, and she took a position with General Mills mechanical division (on East Hennepin) working on a highly classified antimissile project. She moved to Texas for two years when her husband went into the Army. In the 1980s she studied several languages (at the University of Minnesota) and then took up historical linguistics and ESL teaching. This material is based on work funded by the Alfred P. Sloan Foundation award B2014-07 “Tripling Women’s Participation in Computing (1965-1985).”Item Oral history interview with Jane Hauser Pejsa(Charles Babbage Institute, 2016-01-28) Pejsa, Jane HauserJane Hauser Pejsa grew up in Minneapolis and graduated from Carleton College in 1951 with a degree in mathematics, then took an engineering position with Northwestern Bell Telephone in downtown Minneapolis. Her supportive math professor, Kenneth O. May, helped her land a position with Remington Rand Univac at the original Engineering Research Associates factory in St. Paul. At Univac she worked with Earl Joseph, then later worked in General Mills’ government computing division with Francis Alterman, founder of the short-lived Advanced Scientific Instruments. After briefly working for a book publisher, she took a position as a FORTRAN specialist with Honeywell Systems and Research developing computing and guidance systems for the Space Shuttle. She offers numerous character sketches and anecdotes, which she has written down in an essay entitled Memoir of a Fortran Queen (2016). This material is based on work funded by the