Teaching is a key dimension of my career and is an activity that I have great passion for. My teaching experience is extensive with a wide variety of skills covering different teaching environments, class sizes and cultural settings.
University of Essex - 2020 onward
I am teaching the following modules:
Masters in applied Data Science:
- MA304: Exploratory Data Analysis and Data Visualisation.
- MA331: Programming and text analytics with R (Module leader).
- MA334: Data analysis and statistics with R.
Undergradute levels:
- MA304: Exploratory Data Analysis and Data Visualisation.
- MA331: Programming and text analytics with R (Module leader).
- MA334: Data analysis and statistics with R.
University of Bristol
Alongside my current research-based role at the Faculty of Health Sciences, I am engaged in variety of teaching duties including teaching quantitative research methods and applied statistics within medical domain for undergraduate students.
Modules include:
- Quantitative Research Methods (Spring term - 2018/2019).
- Quantitative Research Methods (Spring term - 2016/2017).
- Quantitative Research Methods (Spring term - 2015/2016).
- Computer labs using statistical packages (Spring term - 2015/2016)
Short-courses:
- Introduction to Data Visulaisation using R (2-days course - 2018/2019).
University of Essex
As a graduate teaching assistant - from 2012 to 2015 - at the department of Mathematics, I have taught undergraduates a number of statistical modules, led computer labs and evaluated graduate projects.
Modules include:
- MA207: Probability and Statistics I (Autmn term 2013/2014).
- MA208: Linear models (Spring term 2013/2014).
- MA208: Probability and Statistics II (Spring term 2012/2013).
- MA308: Linear models (Spring term 2011/2012).
Helwan University
My teaching experience has been commenced at the department of Applied Statistics, where I worked as a tutor then assistant lecturer in Statistics - from 2004 to 2011. Duties included teaching large (500 - 1000 students) as well as small (less than 50 students) groups.
Modules include:
- Introduction to Statistics.
- Introduction to Applied Statistics.
- Multivariate Analysis.
- Introduction to Theory of Statistics.
- Sampling Methods.
- Experimental Design.
- Stochastic processes.