Teaching Portfolio

A. Course development and teaching at the University of Turku

I have designed and will teach SOST0091 Data Analytics with Python for Social Sciences I, a five-credit advanced-studies course at the University of Turku. The course runs from 3 November to 18 December 2026 and is taught in English.

The course provides a low-threshold introduction to quantitative data analysis for social science students. No previous Python experience is required. Students are expected to have completed bachelor-level quantitative methods or equivalent studies.

The course begins with social science research questions, concepts and measurement. Students then progress through Excel, Python, data cleaning, missing-data management, descriptive statistics, visualisation, probability, hypothesis testing, reproducible analysis and an introduction to statistical learning.

The course uses authentic social science and public datasets, including the European Social Survey, General Social Survey, World Development Indicators, Gapminder, World Happiness Report, Freedom House data, Statistics Finland data and other teaching datasets.

My responsibilities include designing the course and its Moodle environment, preparing and delivering lectures and computer laboratories, creating slides and Jupyter Notebooks, selecting and preparing datasets, producing instructional videos, developing H5P activities and Kahoot quizzes, preparing assignments, giving feedback and supervising the data-analysis report and final mini-project.

The published course workload consists of 24 lecture hours, 16 computer-laboratory hours and approximately 95 hours of independent study. Assessment is based on weekly hands-on exercises, a data-analysis report and a final mini-project. The course is assessed as Pass/Fail.

Table 1. Teaching details at the University of Turku

Final assessment session

B. Teaching experience at Metropolia University of Applied Sciences

As part of my pedagogical training in the International Professional Teacher Education programme at Häme University of Applied Sciences, I taught Data Analytics & Statistics in Python at Metropolia University of Applied Sciences.

The three-credit course was offered through the Information Technology programme for Bachelor’s and Master’s students in Engineering. It developed practical skills in data analytics, statistical modelling and data visualisation using Python.

The curriculum covered data manipulation with pandas and NumPy, descriptive and inferential statistics, probability distributions, regression, correlation, time-series forecasting and predictive analytics. A specialised section introduced cryptocurrency data analytics to connect statistical methods with a practical application.

My responsibilities included designing and delivering online lectures, creating coding exercises and assignments, assessing student progress and supervising final mini-projects. The course followed an interactive, project-based approach in which students applied methods to real datasets.

Table 2. Teaching details at Metropolia University of Applied Sciences

C. Teaching experience at Åbo Akademi University

During my doctoral studies in the Faculty of Social Sciences, Business and Economics, and Law at Åbo Akademi University, I contributed to teaching in information studies.

I created and delivered modules for the international Master’s programme in Governance of Digitalisation, particularly within Information Behaviour I and Information Behaviour II.

In autumn 2022, I taught the Applications of Literacies module in Information Behaviour I. The module focused on information literacy, digital literacy and the role of digital skills in personal, academic and professional life.

During the spring terms of 2022, 2023 and 2024, I taught a section of Information Behaviour II on health information behaviour. The teaching covered health-information-seeking behaviour, personal and contextual influences on information practices and the Health Belief Model. These sessions were informed by my doctoral research.

Table 3. Teaching details at Åbo Akademi University

D. Teaching experience at Islamic Azad University

From 2011 to 2014, I worked as a lecturer and researcher at Islamic Azad University before moving to Finland to complete my second Master’s degree and doctorate.

I taught students at associate-degree and Bachelor’s levels in finance, taxation, accounting, investment, financial projects and computer applications in accounting.

My teaching combined clear explanations, practical examples, structured exercises, group assignments, case analysis, written examinations and applied projects. I used everyday financial decisions and business situations to help students understand abstract concepts.

Table 4. Teaching details at Islamic Azad University