Search results: 161
This course covers big data, which becomes increasingly available with digitalization of many aspects of human life and with increasingly growth of social media platforms. The course presents a broad understanding of big data and different approaches of big data manipulation. Students will explore how terabytes and petabytes of storage space can be occupied by big data. In this course, the Hadoop software, the Hadoop Distributed File System (HDFS) and the MapReduce technique as well as supervised and unsupervised machine-learning approaches are introduced and artificial neural networks are thoroughly investigated. By completion of the course, students are expected to be able to harvest big data sets from the internet and process by using different methods and tools.
This course provides an understanding of numerical mathematic applications in data science. The floating-point representation of real numbers, truncation and round off errors, iterative approaches, and convergence are some of the main points in numerical mathematics that are covered in this course. Students will study the most basic and crucial algorithms for the fundamental numerical mathematics problems, such as the solution of algebraic equations, numerical estimation of derivatives and integrals, solution of differential equations, approximation of functions by polynomials and Fourier series and solution of systems of linear algebraic equations. Upon completion of this course, students will be able to formulate and solve problems using mathematical methods and tools, identify, understand, and solve algebraic equations and develop experience with numerical and symbolic mathematical software.
- Teacher: Tolgay Karanfiller
Clinical Oral Microbiology course is concerned with the diagnosis and management of oral infections. The interface of oral and systemic infection, effect of immune system efficacy on the susceptibility to infection, and antimicrobial stewardship are all parts of the clinical oral microbiology specialty. It describes the significant models of monomicrobial and polymicrobial mechanisms of pathogenicity to appreciate the multifactorial nature of many infections.
- Teacher: Bashir Ahmad
- Teacher: Ayse Seyer
DBA program was designed for the professionals who would like to broaden their knowledge, expand their expertise and develop research skills with a focus on theoretical knowledge and its use in business practice. By conducting original research in their specialist area, candidates are able to progress their careers and stand out in the competitive globalized marketplace. Whatever the subsequent career you have, the transferable skills and knowledge gained will be an asset to you and help you to advance the effectiveness of your organization and those who work in it. The program aims to develop personal, consultancy and research skills in the context of rigorous and relevant research.
- Teacher: Serkan Abbasoglu
- Teacher: Tomiwa Adebayo
- Teacher: Iman Aghaei
- Teacher: Sirin Atakan
- Teacher: Asil Azimli
- Teacher: Steven Bayig
- Teacher: Demet Kalmaz
- Teacher: Hale Ozgit
- Teacher: Mehrshad Radmehr
- Teacher: Hasan Rustemoglu
- Teacher: Cem Tanova
- Teacher: Mehmet Yesiltas
This course provides students with a better understanding of the structure of energy and resource markets. An overview of the theory and empirical practice of economic analysis will be used in evaluating energy and environmental problems. Topics covered include the natural resource economics, as well as electricity and oil markets. Other topics include environmental policy (pollution and economic efficiency); analysis of economic instruments, such as tradable property rights and pollution taxes; the allocation of non-renewable and renewable resources; and contemporary issues of growth, sustainable development and climate change. They will also be able to understand electricity markets and the economics of climate change.
- Teacher: Demet Kalmaz
The course was constructed in a manner that is consistent with the description of undergraduate research. As developer of this course, the instructor felt that students would gain even more in terms of skill development if their experience was grounded in their own interests as opposed to a prescribed set of topics. As a result, no topic-driven content was covered during the course; rather, the students investigated an issue and the course focused on the development of analytical thinking and research skills. Although no explicit links to other courses were presented during the class itself, students were constantly challenged to integrate their research with what they had learned in other courses taken as part of their major.
- Teacher: Demet Kalmaz
The main objective of this course is to apply microeconomic theory and concepts for managerial decision making. The course is geared toward providing a practical introduction to managerial economics for trainees planning to participate actively in the labor market. The topics are designed in such a way to enhance their practical decision making capacity in their jobs, whether in the private, public sectors, or the NGOs.
Students will learn the educational leadership qualities and how they can be used in school management. Apart from classical leadership behaviors, the school manager learns his/her roles such as coordination, problem solving, teacher management and teacher development, teacher evaluation, instructional management and support, resource management and quality control. Instructional leadership behavioral dimensions: to identify the school vision and mission, to identify and share school objectives, to supervise teaching, to evaluate and make recommendations, to coordinate educational programs, to monitor school achievement and development of students, to develop positive learning climate, motivation, academic achievement and follow-up, encouraging students to learn and rewarding student achievement involve the content of the course.
- Teacher: Osman EmIroGlu
The aim of this course is to familiarize students with different types of English spoken in the world and with cultural characteristics reflected in different varieties of English. The emphasis is placed on phonological, lexical, grammatical, semantic and pragmatic differences in the use of English in different societies. This course covers the following topics: The use of English as an international language, the different uses of English and English as a common language; how the use of English as an international language is reflected on English education and teacher education; the development of consciousness of the students towards the relationship between language and culture, and the examination of the place of culturally language teaching; examining textbooks, literary works, films, TV programs and advertisements and the evaluation of cultural objects
- Teacher: Emre DebrelI
- Teacher: Behbud Muhammedzade
Following a general introduction, the qualitative and quantitative data, their systems of collection and analysis are given to the students. Regression and correlation analysis concepts. Case studies and solutions by using relevant software such as SPSS. Quality control concepts with respect to data analysis. Students will be able to manage qualitative data in an efficient and accessible manner, develop a qualitative data analysis plan, choose and apply different inductive and deductive approaches to coding appropriate to the data type and the context in which results will be used, employ and write analytical memos to aid in interpretation of qualitative data, understand the basic functions of computer-aided qualitative data analysis software, present qualitative findings in different settings using formats appropriate for different audiences.
This course covers data analysis
using statistical methods, e.g., descriptive and multivariate analyses.
Furthermore, the course covers the topics of correlation, sampling, estimation,
and hypotheses testing. The logic and key assumptions underpinning the multivariate
ordinary least squares regression model will be given together with more
advanced subjects such as the analysis of time series and panel data analysis.
The emphasis will be on achieving a smooth transition between theory, model
definition, and outcome presentation. It will illustrate several methods of
data analysis, presenting the findings of analyses (for example, visually,
using graphics, tables, and text), and understanding of their meaning.
Participants will gain hands-on experience with the techniques discussed in
this course by applying them to various datasets using statistical software.
The course focuses on the principles, technologies, and applications of hydropower energy. The course covers energy conversion, storage solutions, and smart grid integration to enhance system reliability and sustainability. Students will analyze energy efficiency, life cycle assessments, and environmental impacts while exploring economic and policy considerations for global renewable energy adoption.
- Teacher: Dogus Hurdoganoglu
This course covers an overview of energy policies and policy instruments that facilitate investment in renewable
energy technologies and increased energy efficiency; student case study analysis of various successful and
unsuccessful policy options that have been implemented. Valuation methods for assessing the economic and
environmental importance of renewable energy and potential impacts of different policy alternatives and options;
benefit to cost analysis of various renewable energy choices and increased energy security; models used to assess
various implications of alternative energy futures or scenarios.