Introduction to Data Science

This repository contains a series of projects developed for the course
“Data Science”, offered by the
Faculty of Electrical and Computer Engineering,
University of Tehran – Spring 1403-1404,
under the supervision of Dr. Bahrak and Dr. Yaghoobzadeh.

Overview

This course provides a comprehensive journey through the data science pipeline, starting from theoretical foundations and moving towards advanced AI applications.

• It begins with statistical thinking, where simulation, inference, and hypothesis testing are applied to real-world scenarios such as casino games, election forecasting, and clinical trials.
• Next, we explore sampling algorithms and data visualization, including Langevin dynamics and interactive dashboards.
• The course then shifts to real-time analytics, building a complete pipeline with Kafka and Spark for streaming data ingestion and fraud detection.
• In the machine learning module, students tackle three Kaggle competitions covering classification, regression, and recommendation systems.
• The deep learning projects extend this foundation with MLPs for sports forecasting, CNNs for image classification, and RNNs for time-series prediction.
• Advanced AI topics introduce semi-supervised learning, semantic search in Persian Q&A datasets, reasoning with large language models, and unsupervised image segmentation.
• Finally, the capstone project applies all these skills to a practical Car License Plate Detection system, integrating dataset management, feature engineering, deep learning models, and OCR evaluation.

Project Index

CA	Task Title	Link
CA0 - Foundations of Statistical Thinking	Roulette Simulation & Profit Analysis	View
	2016 U.S. Election — Poll Aggregation	View
	Drug Safety Trial	View
CA1 - Sampling & Data Visualization	Langevin Dynamics Sampling	View
	Interactive Dashboards (Tableau)	View
CA2 - Real-Time Data Pipeline	Transaction Monitoring System	View
CA3 - Machine Learning	Cancer Survival Classification	View
	Bike Rental Regression	View
	Movie Recommendation	View
CA4 - Applied Deep Learning	Football Match Prediction (MLP)	View
	Flower Classification (CNN)	View
	Bitcoin Price Forecasting (RNN)	View
CA5 & CA6 - Advanced Topics in AI	Semi-Supervised Learning — Game Reviews	View
	Semantic Search — Persian Q&A	View
	LLM Reasoning — SWAG Dataset	View
	Image Segmentation via Clustering	View
Final Project	Car License Plate Detection (in a separate repository)	View

Contributors

Parsa Bukani   |   Mani Hosseini   |   Erfan Falahati

License

This repository is licensed under the MIT License.