Quizzes
- Pre-lecture 01 IntroductionDue Sep 27, 2022 at 6pm8 Questions
- Post-lecture 01 IntroductionDue Sep 28, 2022 at 6pm10 pts5 Questions
- Pre-lecture 02 Probability and StatisticsDue Oct 2, 2022 at 6pm10 pts7 Questions
- Post-lecture 02 Probability and statisticsDue Oct 3, 2022 at 6pm10 pts8 Questions
- Pre-lecture 03 GitHub and Computing ResourcesDue Oct 4, 2022 at 6pm10 pts5 Questions
- Post-lecture 03 GitHub and Computing resourcesDue Oct 5, 2022 at 6pm10 pts7 Questions
- Pre-lecture 04 Probability DistributionsDue Oct 9, 2022 at 6pm10 pts5 Questions
- Post-lecture 04 Probability distributionsDue Oct 10, 2022 at 6pm10 pts4 Questions
- Pre-lecture 05 Measurement ErrorsDue Jan 16, 2023 at 11:59pm10 pts5 Questions
- Post-lecture 05 Measurement errorsDue Jan 3, 2023 at 11:59pm10 pts7 Questions
- Pre-lecture 06 Error propagationsDue Oct 16, 2022 at 6pm10 pts5 Questions
- Post-lecture 06 Error propagationDue Jan 6, 2023 at 11:59pm10 pts6 Questions
- Pre-lecture 07 Monte Carlo simulationDue Oct 18, 2022 at 6pm10 pts7 Questions
- Post-lecture 07 MC SimulationDue Jan 17, 2023 at 11:59pm10 pts6 Questions
- Pre-lecture 08 Maximum Likelihood Estimator (MLE) IDue Oct 23, 2022 at 10pm10 pts5 Questions
- Post-lecture 08 Monte Carlo simulation IIDue Jan 19, 2023 at 11:59pm10 pts5 Questions
- Pre-lecture 09 Career panelDue Oct 25, 2022 at 6pm10 pts1 Question
- Post-lecture 09 MLE IDue Jan 24, 2023 at 11:59pm10 pts2 Questions
- Pre-lecture 10 MLE IIDue Oct 30, 2022 at 9pm10 pts5 Questions
- Post-lecture 10 MLE IIDue Jan 26, 2023 at 11:59pm10 pts5 Questions
- Pre-lecture 11 least squared methodDue Nov 1, 2022 at 6pm10 pts6 Questions
- Post-lecture 11 Least square methodDue Jan 31, 2023 at 11:59pm10 pts2 Questions
- Pre-lecture 12 final project intro, hypothesis tests & p-valueDue Nov 6, 2022 at 10pm10 pts5 Questions
- Pre-lecture 13 goodness of fit tests and significanceDue Dec 16, 2022 at 11:59pm10 pts7 Questions
- Post-lecture 12 hypothesis test and p-valueDue Feb 2, 2023 at 11:59pm10 pts2 Questions
- Post-lecture 13 goodness-of-fitDue Feb 7, 2023 at 11:59pm10 pts2 Questions
- Pre-lecture 14 Significance and Interval EstimationDue Dec 16, 2022 at 11:59pm10 pts5 Questions
- Pre-lecture 15 Confidence Interval and LimitsDue Dec 16, 2022 at 11:59pm10 pts5 Questions
- Post-lecture 14 binned maximum likelihood estimatorDue Feb 9, 2023 at 11:59pm10 pts2 Questions
- Post-lecture 15 log likelihood ratio and p-valueDue Feb 14, 2023 at 11:59pm10 pts2 Questions
- Pre-lecture 16 Upper limitDue Nov 20, 2022 at 10pm10 pts5 Questions
- Pre-lecture 17 Expected sensitivityDue Nov 27, 2022 at 10pm10 pts5 Questions
- Pre-lecture 18 Machine Learning: unsupervisedDue Jan 16, 2023 at 11:59pm8 pts4 Questions
- Post-lecture 16 Upper LimitDue Feb 16, 2023 at 11:59pm10 pts2 Questions
- Pre-lecture 19 Machine Learning: supervisedDue Jan 23, 2023 at 11:59pm10 pts5 Questions
- Post-lecture 17-18 Expected sensitivity and Unsupervised learningDue Feb 23, 2023 at 11:59pm10 pts2 Questions
- Pre-lecture 20 Review and SummaryDue Jan 30, 2023 at 11:59pm10 pts1 Question
- Post-lecture 19-20 supervised learningDue Mar 2, 2023 at 11:59pm10 pts2 Questions