About the Summative 01
Fill out the survey to help us understand how it was for you.
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The rationale
Our expectations for this problem set:
- we knew it would require somewhat considerable time effort
- encourage people to collaborate and work together
- put what you learned from the R pre-sessionals to practice
- we wanted to allow for some freedom
The R pre-sessional course
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Our blind spots
What we could have done better:
- we assumed the pre-sessional chapter above would have prepared you even for the challenging questions
- data types & data frames
if-else statementsfor-loops- creation of
functions
- vectorized functions like
apply() and sapply
- we could have provided a cheatsheet for common
R tasks
- we could have given better marking criteria for questions where more freedom was allowed
Next summative
Operational changes we plan to introduce:
- Less code writing and more code reading
- Reduce ambiguity.
- Where freedom/creativity is allowed, explain if and how this is rewarded
- Elements of randomness. Each student will be assigned a unique combination of:
- selected variables and
- selected metrics to consider
Next summative
Topics of Summative W08-W10:
- Regression & Classification
- Decision Tree
- Support Vector Machine
- k-fold Cross-Validation
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