Cyprus International University Course Portal

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

In this course, students will learn about fundamental molecular biology laboratory techniques and will use those techniques to carry out experiments which theoretically coincide with topics studied in MBGE302 – Molecular Biology I. Therefore, students should not take this lab course unless they have taken MBGE302 or are currently taking it. Experiments/techniques that will be discussed and carried out are; reverse transcription polymerase chain reactions (RT-PCR), single nucleotide polymorphism (SNP) analyses, immunoblotting or western blots, enzyme-linked immunosorbent assays (ELISA) and affinity chromatography. Additionally, cell/tissue cultures will be discussed and how to grow and maintain cell lines. Cells will be used to carry out metabolic experiments such as adenosine triphosphate assays, MTT assays for cell viability and TUNEL assays for apoptosis. Immunocytochemistry will also be covered.

MCLE572 THEORY OF MACHINES (3, 0) 3,    ECTS: 8

The
course presents the basic mathematical theory of machines and focuses on the
principles of analysis and design of mechanisms and machines; together with
kinematic and dynamic analysis of linkages, gearing and gear train analysis.
The course coverage includes: Introduction to basic concepts; degree of
freedom, Grübler’s equation, classification of mechanisms; kinematic inversion,
enumeration; joint variables, loop closure equations; position, velocity and acceleration
analysis of mechanisms by graphical and analytical methods; four link
mechanisms; Grashof’s Rule, dead center positions, transmission angle,
mechanical advantage, body guidance, two and three position synthesis; 
slider-crank mechanism; gears, simple and planetary gear trains; static and
dynamic force analysis. Students are required to complete and present a real
life design project and submit a formal project report.