Back to the Methods of Teaching Data Science course
Back to Technion Data Science Education website
- Introduction
- Syllabus and course requirements
- What is data science?
- Discussion of several questions from the preliminary questionnaire:
- Concepts related to data science
- Preliminary discussion on the interdisciplinarity of data science: The interconnection between data science and computer science and between data science and statistics.
- A class discussion took place based on the following reflections that were shared in class via the chat function in response to the following question: What did you learn from the class discussion that took place now based on the preliminary questionnaire? The following ideas were shared (grouped here into three categories):
- Teaching methods
- The practice of sharing answers with everyone via the chat function
- Characteristics of questions
- Pupils can sometimes understand a question differently than it was intended.
- A figure can sometimes can explain an idea better than a text can.
- Intuition is sometimes needed to answer a question.
- Data science
- Data science is a new field.
- Different conceptions on data science were expressed.
- Data science is a new research method.
- Data science teaching
- Teaching data science requires knowledge in a variety fields, unlike computer science teaching that does not require significant knowledge in several disciplines.
