Mobile and Wearable Computing
Graduate course, Bogazici University, Galatasaray University, Computer Engineering, 2023
14 lectures weekly (3 hours), 2015-2023, with ~20 graduate students.
Teaching
Smart Environments
Undergraduate course, Bogazici University, Computer Engineering, 2023
Description and Objective: This course introduces smart environments across multiple scales and contexts: such as smart homes, smart factories and smart cities. The goal of the course is to provide an overview of technologies used in building smart environments, including communication and networking aspects, sensors, smart devices, pervasive computing, as well as data collection and processing to be used in the applications for smart environments. The role of data analytics and machine learning in developing smart environment solutions, such as smart cities, and other leading applications, is also discussed. Students will explore and design technical solutions implementing smart environments.
Classification in Machine Learning
Certificate program course, Galatasaray University, Computer Engineering, 2023
Description and Contents: 16 sessions were taught between 2019-2023, as part of a certificate program on hands-on data science and machine learning. Introduction to Classification, K-Nearest Neighbor Algorithm (KNN) and Example in Python, Classifier Evaluation Metrics and Methods in Classification, Decision Trees and Example in Python, Ensemble Methods (Bagging and Boosting) Introduction to SVM and Example in Python
Data Structures and Algorithms
Undergraduate course, Bogazici University, Computer Engineering, 2022
14 lectures, weekly (3 hours). 137 undergraduate students in Fall’22 and 38 students in the Spring’23 semesters attended the course. github.com/cmpe250fall22
Operating Systems
Undergraduate course, Galatasaray University, Computer Engineering, 2021
14 lectures, weekly (3 hours) between 2013-2021.
Internet of Things and Industry 4.0
Graduate course, Galatasaray University, Computer Engineering, 2021
Description and Objective: This course provides a comprehensive coverage on the concepts and emerging research topics in he domains of Internet of Things (IoT) and Industry 4.0. The topics will include an overview of IoT, IoT-related technologies: Internet in general and Internet of Things (layers, protocols, packets, services), mobile networking, awareness, sensors and actuators, embedded intelligence. Standardization, interoperability, user experience issues will be covered. Domain specific examples and business models of IoT and Industry 4.0 will be presented and discussed.