Teaching
During my academic career I have gained a lot of experience in teaching. When I am teaching I am trying to show my students how logical and useful statistical methods are. I believe in extremely organised class material, joyful presentation and a lot of hands-on activities. I am enthusiastic about innovative teaching strategies in class and recently wrote a paper describing how Kaggle-in-class data challenges can boost student learning (joint wort with Prof. Di Cook).
My teaching experience includes:
Lecturing
- Data Analysis 1 (MAST10010, undergraduate level, S2, 2019, 320 students. School of Mathematics and Statistics).
- Thinking and Reasoning with Data (MAST90044, graduate level, S1 2019, 217 students. School of Mathematics and Statistics).
- Critical Thinking With Data (UNIB10006, undergraduate level, S1 2017 (105 students), S1 2019 (120 students). School of Mathematics and Statistics). Breadth subject.
- Data & Decision Making (MAST90072, graduate level, S1 2017, 141 students. School of Mathematics and Statistics). A service subject mainly for biotechnology students.
- Computational Statistics & Data Science (MAST90083, graduate level, S2 2017, 62 students. School of Mathematics and Statistics).
- Data Modelling & Computing (ETC1010, Undergraduate levelS1, S2, 2015-2016. Department of Econometrics & Business Statistics, Monash University).
- Biostatistics (POP90013, Postgraduate level, S1 2014, . Melbourne School of Population and Global Health, University of Melbourne).
Teaching Associate
- Thinking and Reasoning with Data (Mar 2014 - Jun 2014, MAST90044, Graduate/Postgraduate level. Department of Mathematics and Statistics, University of Melbourne).
- Biostatistics (Mar. 2013 - Jun. 2013, POP90013, Postgraduate level. Melbourne School of Population and Global Health, University of Melbourne).
- Business and Economic Statistics (ETC1000, Undergraduate level. Department of Econometrics & Business Statistics, Monash University).
- Econometrics (96586, 2004-2005, Undergraduate level. Faculty of Industrial Engineering & Management, Technion).
- Financial Econometrics (096588, 2005-2006, Undergraduate, Postgraduate level. Faculty of Industrial Engineering & Management, Technion).
- Microeconomics 1 (094503, 2005, Undergraduate level. Faculty of Industrial Engineering & Management, Technion).
- Location Economics (096567, 2005, Undergraduate, Postgraduate level. Faculty of Industrial Engineering & Management, Technion).
I also deliver workshops on a variety of topics:
- Data analysis
- Data Management and Exploratory Data Analysis
- What statistical techniques should you be using
- Visual representation of the data
- Introduction to Data Analysis and Visualisation using R
- Statistical training for PhD students at Monash University:
- Introduction to Statistics: Data management and exploratory data analysis
- Introduction to Statistics: What statistical methods should you be using?
- Software packages for statistics
- Multivariate analysis
- Statistical classification tools