Cyprus International University Course Portal

Teachers who are making the transition into
management need to gain expertise in specialist areas such as personnel,
marketing and finance. This course provides an introduction to these three
areas, a section being devoted to each. 'People and organizations’ covers staff
selection and development, managing curriculum development and innovation, and
organizing resources and information. It emphasizes the importance of
communication. 'Marketing' begins by defining marketing and describing 'the
marketing mix'. It goes on to offer detailed guidance for developing and
implementing a marketing plan. 'Finance' deals with financial records and
statements, cash flow management, management accounting and using financial
information, all in terms which are accessible to non-specialists. There are
clear explanations in each area supported by examples and case studies.

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.

In this course the students learn
about what project management and project scheduling are. The tools for time management,
special characteristics of projects and stakeholders in project management are explained.
The management approaches to determine project success and the related criteria
are discussed. Work breakdown structure and controlling techniques are
mentioned. The rules for drawing network diagrams including activities on node and
activities on arrow are explained. Critical path method and program evaluation
and review technique are taught. Random variable distributions, probability in project
scheduling network and simulation in project scheduling network are mentioned.

Bu ders kapsamında öğrenciler ergenliğin doğası, teorik bağlamı; ergenlikte fiziksel değişiklikler; ergenlikte psikolojik değişiklikler; ergenlikte duygusal
değişiklikler; kimlik gelişimi, ergenlikte zihinsel değişiklikler; ergenlikte gelişimsel sorunları; cinsel gelişim; cinsel eğitim; zihin yetersizliği olan
ergenlerin cinsel gelişim özellikleri; ergenlikte cinsel istismar; zihin yetersizliği olan ergenlere ve ailelerine yönelik cinsel eğitim uygulamaları.

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.