Primary Source
- YÖK Atlas – Lisans Atlası
A Trend Analysis of Industrial Engineering Programs in Turkey
This project investigates the structural and institutional factors shaping the success of Industrial Engineering departments across Turkey between 2018 and 2025.
Rather than treating placement statistics as isolated yearly figures, we aim to construct an integrated analytical framework capable of identifying the underlying drivers of academic prestige, student demand, and regional competitiveness.
While university placement statistics are publicly available, there is often a lack of analytical perspective explaining why certain departments consistently outperform others in national rankings.
As Industrial Engineering students, our objective is to apply modern data analytics methodologies directly to our own academic domain.
We aim to identify the underlying drivers of success and regional demand for Industrial Engineering departments across Turkey over recent years.
The analysis is implemented using R (thestats, tidyverse, ggplot2) and reported through Quarto for full reproducibility.
| Phase | Planned Activities |
|---|---|
| Weeks 1–2 | Data extraction, cleaning, preprocessing |
| Weeks 3–4 | EDA, trend analysis, correlation modeling |
| Week 5 | Final reporting, visualization refinement, presentation |
Data Engineering · Visualization · Statistical Analysis
Portfolio:
https://emu-hacettepe-analytics.github.io/emu430-spring2026-boracavdar/
Research Design · Data Processing · Methodological Development
Portfolio:
https://emu-hacettepe-analytics.github.io/emu430-spring2026-onurfgg/