Teaching Experience 2
Undergraduate Courses, Govt. Hashmat Ali Islamia College, Department of Statistics, 2018
Teaching Summary
During my time at the Govt. Hashmat Ali Islamia College, I taught several undergraduate-level courses in the Department of Statistics.
My primary responsibilities included delivering lectures, conducting tutorials, and organizing workshops focused on practical applications of R software.
Courses Taught (Total: 202.5 hours)
1. Introductory Statistics (45 hours)
Period: Feb 2018 – June 2018
This course covered the basic concepts of statistics for bachelor’s students.
Topics included:
- Definition and branches of statistics
- Charts and graphical representation of data
- Types of variables and data types
- Measures of central tendency and dispersion
- Index numbers
Tutorials and Workshops:
Focused on applying theoretical concepts using R, with an emphasis on interpreting and using statistical outputs.
2. Statistical Theory I & II (90 hours)
Period: Feb 2018 – Dec 2018
An introduction to inferential statistics covering:
- Point and interval estimation
- Properties of unbiased estimators and variance
- Central Limit Theorem
- Likelihood estimation and method of moments
- Hypothesis testing, likelihood ratio tests, and ANOVA
Tutorials and Workshops:
Applied real-world datasets in R to illustrate statistical inference techniques.
3. Statistics and Probability (45 hours)
Period: Jan 2019 – June 2019
Introduced the fundamental concepts of probability theory, including:
- Definitions and laws of probability
- Discrete and continuous random variables and distributions
- Joint and marginal distributions
- Moment generating functions
- Expected value, variance, covariance, and correlation
- Central Limit Theorem and Law of Large Numbers
Tutorials and Workshops:
Compared different distribution behaviors through simulation and visualization in R.
4. Business Statistics (22.5 hours)
Period: Sep 2019 – Nov 2019
Introductory statistics for commerce students. Topics covered include descriptive statistics, data visualization, and basic inferential methods.
Tutorials and Workshops:
Practical exercises and data analysis in R, reinforcing statistical reasoning in business contexts.
Tools and Methods
- Software: R
- Teaching Methods: Lectures, hands-on tutorials, applied data workshops
- Focus: Conceptual understanding and application to real-world data