TY - JOUR
T1 - The future of data(Base) education
T2 - 47th International Conference on Very Large Data Bases, VLDB 2021
AU - Ives, Zachary G.
AU - Pottinger, Rachel
AU - Kumar, Arun
AU - Gehrke, Johannes
AU - Giceva, Jana
N1 - Publisher Copyright:
© The authors.
PY - 2021
Y1 - 2021
N2 - This panel encourages a debate over the future of database education and its relationship to Data Science: Are Computer Science (CS) and Data Science (DS) different disciplines about to split, and how does that effect how we teach our field? Is there a "data" course that belongs in CS that all of our students should take? Who is the traditional database course, e.g. based on the "cow book", relevant to? What traditional topics should we not be teaching in our core data course(s) and which ones should be added? What do we teach the student who has one elective for data science? How does our community position itself for leadership in CS given the popularity of DS?.
AB - This panel encourages a debate over the future of database education and its relationship to Data Science: Are Computer Science (CS) and Data Science (DS) different disciplines about to split, and how does that effect how we teach our field? Is there a "data" course that belongs in CS that all of our students should take? Who is the traditional database course, e.g. based on the "cow book", relevant to? What traditional topics should we not be teaching in our core data course(s) and which ones should be added? What do we teach the student who has one elective for data science? How does our community position itself for leadership in CS given the popularity of DS?.
UR - http://www.scopus.com/inward/record.url?scp=85119998996&partnerID=8YFLogxK
U2 - 10.14778/3476311.3476394
DO - 10.14778/3476311.3476394
M3 - Conference article
AN - SCOPUS:85119998996
SN - 2150-8097
VL - 14
SP - 3239
EP - 3240
JO - Proceedings of the VLDB Endowment
JF - Proceedings of the VLDB Endowment
IS - 12
Y2 - 16 August 2021 through 20 August 2021
ER -