Search results: 1883
- Teacher: Prydine Abang
- Teacher: Ibrahim Avci
- Teacher: Cem Kaanoglu
- Teacher: BuGCe TatlicioGlu
The objective of this course is to introduce the basic issues and tools of statistical inference based on the background which is constructed in MATH205. Topics include moment generating functions, multivariate probability distributions, conditional expectation, empirical distribution function, Least Squares Estimators and their applications in simple linear regression analysis, Moment Estimators, Maximum Likelihood Estimators, the properties of estimators (such as unbiasedness, efficiency, consistency, and sufficiency), the law of large numbers, confidence intervals for some population parameters, hypothesis tests, the statistical power of a test, statistical inferences for the mean of a normal random variable. In addition, the course aims to introduce applications of these basic topics in different software programs
- Teacher: Aysegul Erem
The course is held in two parts. The first part of the course covers
review of the differential equations and linear algebra undergraduate topics: First-order
and second order ordinary differential equations and their solutions. Laplace
transforms and power series solutions. The linear algebra topics (the system
solutions, vectors etc.), as well as their examples of applications in the
field of engineering. In the second part, the higher order linear
differential equations with variable coefficients, higher order nonlinear
differential equations, Laplace Transforms, inverse Laplace transforms,
Convolution and integral equations, solution of differential equations systems
with Laplace transform, initial value series solutions of differential
equations are discussed.
This course will provide students with an overview of evolutionary and ecological models. The effects of developments in molecular evolution, the diversity of life in an evolutionary framework, and the foundations of ecology will be emphasized, as well as the principles of evolution, ecosystem concepts, and human-induced problems. It will describe the main patterns of evolutionary change, including selection and drift, describing and interpreting phylogenies, understanding how reproductive isolation arises and how new species emerge, describing evolution at the genetic and genomic levels, understanding the history of life forms on earth, individuals and population genetics, explaining how species interact (competition, mutualism, predation, etc.), understanding how communities stay together and biodiversity, and describing ecosystem processes (nutrient cycling, decomposition).
- Teacher: Cicek TopCu
Cancer is an abnormal
growth of cells. The cancerous cells can invade and destroy surrounding healthy
tissue, including organs. This course aims to identify the major types of
cancer worldwide; list and describe the hallmarks of cancer; differentiate the
contribution of genes to the risk and growth of cancer; define metastasis and
identify the major steps in the metastatic process; describe the role of
imaging and screening, diagnosis, staging, and treatments of cancer.