Design and Assessment of a Task-Driven Introductory Data Science Course Taught Concurrently in Multiple Languages: Python, R, and MATLAB

Ting Xiao, Ronald I. Greenberg, Mark V. Albert. Design and Assessment of a Task-Driven Introductory Data Science Course Taught Concurrently in Multiple Languages: Python, R, and MATLAB. In Carsten Schulte, Brett A. Becker, Monica Divitini, Erik Barendsen, editors, ITiCSE 2021: 26th ACM Conference on Innovation and Technology in Computer Science Education, Virtual Event, Germany, June 26 - July 1, 2021. pages 290-295, ACM, 2021. [doi]

@inproceedings{XiaoGA21,
  title = {Design and Assessment of a Task-Driven Introductory Data Science Course Taught Concurrently in Multiple Languages: Python, R, and MATLAB},
  author = {Ting Xiao and Ronald I. Greenberg and Mark V. Albert},
  year = {2021},
  doi = {10.1145/3430665.3456364},
  url = {https://doi.org/10.1145/3430665.3456364},
  researchr = {https://researchr.org/publication/XiaoGA21},
  cites = {0},
  citedby = {0},
  pages = {290-295},
  booktitle = {ITiCSE 2021: 26th ACM Conference on Innovation and Technology in Computer Science Education, Virtual Event, Germany, June 26 - July 1, 2021},
  editor = {Carsten Schulte and Brett A. Becker and Monica Divitini and Erik Barendsen},
  publisher = {ACM},
  isbn = {978-1-4503-8214-4},
}