Specialized Empirical Modeling Program
The Petroleum and Mining Engineering Department at Tishk International University announces a specialized 9-day training course entitled “Turning Data into Knowledge via Empirical Models.” This comprehensive program is designed to enhance participants’ skills in data analysis, interpretation, and knowledge extraction—increasingly essential competencies in both academic research and professional practice across multiple disciplines.
Course Focus and Instructional Approach
The course will concentrate on transforming raw data into meaningful insights using empirical and regression-based modeling approaches. The program will be delivered by Professor Dr. Tariq H. Karim, who will guide participants through both theoretical foundations and practical applications utilizing widely used analytical tools and software platforms.
Course Schedule and Logistics
Duration: 9 days
Dates: January 26 to February 5, 2026
Time: Daily from 2:00 PM to 4:00 PM
Venue: Main Building, Hall 214, Tishk International University
Comprehensive Curriculum Coverage
The course will address a wide range of essential data analysis topics:
Core Course Topics:
Introduction to models and empirical modeling concepts
Linear and nonlinear regression models for various data types
Overfitting and underfitting identification and prevention strategies
Regression analysis assumptions and systematic outlier treatment
Curve fitting techniques and linearization methods
Model performance indicators and validation methodologies
Advanced regression techniques addressing multicollinearity challenges
Practical applications across engineering, environmental, medical, and social sciences
Software and Tool Introduction
Participants will receive hands-on introduction to commonly used analytical software and platforms, including:
Excel for fundamental data manipulation and analysis
SPSS for statistical processing and reporting
Minitab for quality improvement and statistical analysis
Python for programming-based data analysis and modeling
R for statistical computing and graphics
Other relevant platforms specific to empirical modeling applications
Target Participant Audience
This interdisciplinary course is open to diverse participants across Tishk International University:
Eligible Participants:
TIU academic staff from all departments and faculties
Administrative staff seeking data analysis competencies
Undergraduate students across all academic programs
Postgraduate students enhancing research capabilities
Interdisciplinary learners interested in practical skill development
Registration Requirement
Participation requires prior registration to ensure appropriate resource allocation and personalized attention. Interested individuals are encouraged to register promptly to secure their placement in this valuable professional development opportunity.
