Alexandria National University · Feb 2024 - June 2024
00305N - Machine Learning - Spring 2024
Supervised Learning, Unsupervised Learning, Linear Models Regression, Classification and Perception Algorithm, Logistic Regression, Tree Classifiers, Naïve Bayes, Ensembles, Dimensionality Reduction, Neural Networks, Reinforcement Learning, Natural Language Processing.
01301N - Intelligent Programming - Spring 2024:
Search, Knowledge, Uncertainty, Optimization, Machine Learning, Neural Networks, Language.
Egypt-Japan University of Science and Technology E-JUST (2013 - 2016)
CSE 505 - Advanced embedded systems - Spring 2016:
Participate in teaching some topics (Decision Trees, Random Forests)
Hands-on sessions on R code.
CSE 512 - Machine Learning - Fall 2014:
Participate in teaching some topics (
Course Introduction,
Probability Theory,
Decision Trees,
Random Forests,
Reinforcement Learning,
Hidden Markov Models,
Deep Learning,
Markov Regime Switching Model,
Markov Chain Monte Carlo,
An Introduction to Chaos Theory with Lorenz Attractor & Brownian Motion)
Participate in Mid-term Exam.
CSE 611 - Computing in Robotics - Spring 2014:
Participate in teaching some topics (
Course Introduction,
Kalman Filter,
Information Filter).
CSE 520 - Machine Learning - Fall 2013:
Participate in teaching some topics (
Reinforcement Learning,
Decision Trees,
Random Forests)
Participate in Mid-term Exam.