Course Overview
Welcome to the MYZ 303E Artificial Intelligence in Civil Engineering course materials page. Here you will find interactive tools and resources to help you understand and apply AI concepts in civil engineering applications.
Python and PyTorch
From basic Python concepts to deep learning with PyTorch.
Temel Python kavramlarından PyTorch ile derin öğrenmeye.
ANN Classification Animation (MNIST 0..9)
Includes the ANN architecture and animation designed for digit recognition using the MNIST dataset (digits 0-9).
MNIST 0..9 rakam tanıma datası algılaması için oluşturulan ANN yapısı ve animasyonunu içerir.
Softmax
Contains theoretical information and other tools regarding the softmax function.
Softmax fonksiyonuna ilişkin teorik bilgileri ve diğer araçları içerir.
Imbalanced Data Metrics (F1, Precision, Recall)
It includes explanations about the evaluation of network training results in unbalanced data and the improvements that can be made in this regard.
Dengesiz dağılımlı verilerde Network eğitim sonuçlarının değerlendirilmesi ve bu konuda yapılabilecek iyileştirmelerler ilgili açıklamalar içerir.
Machine Learning Tools
An interactive tool to visualize gradient descent algorithm with a single weight parameter.
Theoretical explanation of gradient descent algorithm with mathematical foundations.
Gradyan İniş algoritmasının matematiksel temelleri ile teorik açıklaması.
Regression Calculators
An interactive tool to calculate and visualize linear regression models for engineering data.
English version of the linear regression calculator with detailed explanations and examples.
Turkish version of the linear regression calculator (Doğrusal Regresyon Hesaplayıcı).
An interactive tool to calculate and visualize logistic regression models for classification problems.
English version of the logistic regression calculator with detailed explanations and examples.
Turkish version of the logistic regression calculator (Lojistik Regresyon Hesaplayıcı).
PDF Resources
Download lecture materials and additional resources for the course:
Week 1: A Simple Artificial Neural Network - Introduction
Excel Resources
Download Excel spreadsheets with data and exercises:
Week 2: Gradient Descent Excel Exercise
Additional Resources
More course materials and interactive tools will be added throughout the semester. Check back regularly for updates.