Course presentations
All graduate students are required to deliver a 15-min talk (10 min presentation + 5 min questions) on one of the following topics (secure yours before others do). You may suggest a topic outside of the pool too. Undergraduate students are encouraged to participate too with bonus 5 points towards the final score.
Topic pools
The topics are given by key words only. Please practice your ability of “educated” searches with google.
- Software key words: stan, bugs & jags, hadoop, spark, tensorflow, Scikit-Learn, Blas & Lapack
- Stastician key words: R. A. Fisher, Carl Friedrich Gauss, Andrey Markov, Karl Pearson, Francis Galton, John Craig
- Research areas: Causal Inference, Forensic Statistics, Bayesian Statistics, Approximate Bayesian Computation, Sequential Monte Carlo method, Variational Bayes, Spatial statistics, Precision Medicine
- Parallel computing: OpenCL, Cuda, SIMD (SSE + AVX)
- Other: Frequentist vs. Bayesian debate, Fingerprints & DNA fingerprints
Available dates
| Date | Topic | Presenter |
|---|---|---|
| Feb 5 | Forensic Statistics | KG |
| Feb 12 | Carl Friedrich Gauss | ES |
| Feb 19 | Hamiltonian Monte Carlo | XJ |
| Feb 26 | Variational Bayes | BZ |
| Mar 5 | Precision Medicine | MMYP |
| Mar 12 | Andrey Markov | AT |
| Mar 19 | Fingerprints & DNA fingerprints | CZ |
| Mar 26 | Francis Galton | GOB |
| April 2 | Karl Pearson | HC |
| April 9 | Causal Inference | LD |
| April 16 | Bayesian Statistics | JJLS |
| April 23 | OpenCL | SL |