Selected Coursework

Statistics & Data Science:

• Introduction to Probability & Statistics by Ümit Işlak (MATH 344)
• Introduction to Data Science for Business by Kemal Ünaltuna (AD 588)
  Fundamentals of machine learning and optimization theory
  Project Report
• Statistics for Industrial Engineers by Refik Güllü (IE 256)
• Selected Topics in Essentials of Data Analytics by Berk Orbay (IE 48A)
  Projects Website
• Statistical Learning for Data Mining by Mustafa Gökçe Baydoğan (IE 582)
  Projects Website
• Statistical Inference by Wolfgang Hörmann (IE 508)
• Numerical Linear Algebra and Its Applications by Ali Taylan Cemgil (CMPE 482)
• Machine Learning & Optimization by Figen Öztoprak Topkaya (IE 585)
  Project Report
  Stochastic Gradient Algorithm, Support Vector Machine from scratch in Python.

Operations Research:

• Operations Research by Kuban Altınel (IE 310)
  Introductory linear and nonlinear optimization techniques, implementations on Python.
• Optimization Techniques I by Kuban Altınel (IE 501)
• Mathematical Methods for Economics by Yeliz Kaçamak (EC 521)
  Nonlinear optimization techniques for graphs in economics.

Miscellaneous:

• Stochastic Processes And Applications by Aybek Korugan (IE 505)
• Systems Theory by Gönenç Yücel (IE 533)

LNMB:

• Stochastic Programming by Ward Romeijnders
• Robust Optimization by Frans de Ruiter and Ahmadreza Marandi
• Markov Decision Processes by Aleida Braaksma and Floske Spieksma

GP-OML:

• Reinforcement Learning for Operations Management by Willem van Jaarsveld, Wouter van Heeswijk, Martijn Mes and Zaharah Bukhsh