Information Technology Master's Program (without Thesis) (M.S., 1 - 1.5 Years)

This course explores the practice as well as leading research in the field of software design and development. It builds on the knowledge and skills learnt in undergraduate Software Design and development course. The complete software design and development cycle is covered with latest methodologies and techniques including concepts such as project management, change control, process management, and software development and testing. Students will perform research on selected topics and prepare a presentatıon and a short paper.

Participants will learn the steps of conducting a research within the context of Information Technology. Research process starting from the formalization of problem, review of literature, theorizing, methodologies like qualitative, quantitative and mixed method approaches will be discussed. Writing strategies, co-authorship and role of ethics in research will also be among the topics covered.

This course provides a comprehensive introduction to the foundational principles and practical applications of neural networks and deep learning. Key neural network architectures, including single-layer, multi-layer, shallow, and deep networks, will be examined, with a focus on their structure, functionality, and learning rules. Advanced techniques such as convolutional neural networks (CNNs) and recurrent neural networks (RNNs) will be explored in depth, including specific architectures like Long Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU). The course will also cover sophisticated frameworks such as the Encoder-Decoder architecture and the Attention mechanism, which are crucial for sequence-to-sequence tasks. Theoretical insights and hands-on experience will be provided through detailed examples and problem-solving exercises. By the end of the course, students will be equipped with the skills necessary to apply these methods to real-world challenges, enabling them to develop machine learning solutions for a diverse range of industries.

Term project include identification of problem, formulation of hypothesis, search and review of literature, exposure to recent advances, data collection, critical analysis, interpretation of results and drawing conclusions. Term project report should provide a literature review of the related area and explain the nature of the problem to be investigated. It should provide a clear summary of the project background, relevance and main contributions. https://sct.emu.edu.tr/en/itec599-term-project