Cyprus International University Course Portal

This course provides
a comprehensive definition of “Big Data” and the machine learning approaches
for managing and processing them. With storage and computational power getting
significantly cheaper and faster, big data sets are increasingly available and
the need for machine learning approaches for handling big data becomes more
significant. In this course, big data harvesting and manipulating methods,
supervised and unsupervised machine learning techniques (especially artificial
neural network), text data analysis and cloud computing are covered. By
completion of this course, students will gain the ability to harvest big data
from the web and process them by using supervised and unsupervised neural
networks.

This course provides an overview of the field of educational technology. Many students elect to major in Educational Technology because they enjoy the field's hands-on design and development aspects. However, Educational Technology is a broad and dynamic field that intersects many other disciplines and offers numerous opportunities for individuals with varied interests and talents. Knowing the foundations, history, perspectives, and literature in the field enables students to think more critically about their efforts and career goals. This course is intended to give you an overview of the area and help you begin to find (or further establish) your niche within it.

The
main purpose of this course is to provide the prospective marketing manager
with an understanding of marketing research in an advanced level. Advanced
methods of marketing research have been specially compiled for graduate
students on marketing management and business administration programs. This course
provides the sophisticated marketing research techniques found in the
discipline in a basic way. The contributors focus on the history of methods,
descriptions of their assumptions and content, and examples. The main themes of
the course include marketing research design, data collection, data preparation
and data analysis. The students will find advanced methods of marketing
research an essential update of their knowledge of classical procedures which
will be helpful to conduct their project or thesis.