Seminar presentation and group discussions on selected topics related to the Environmental Sciences.

It refers to an examination that qualifies students to continue studies at a Ph.D. thesis and see how prepared they are for the looming examinations. It is almost a gauge on how knowledgeable one is within the chosen subject. It is in two steps: Written and oral examination. When the student passes the written exam he/she may take the oral exam in front of jury members. This eaxam is required as pre-requisite to take ENS 600.

Supervised independent research on a topic agreed between the student and the supervisor (a faculty member) and approved by the Administrative Committee of the Institute of Graduate Studies and Research. It is evaluated by a jury of two faculty members and one from other universities.

Various advanced level topics will be covered on environmental sciences, according to the need of students and interest of the instructor.

Meteorology for modeling and control of air pollution; the physical and thermodynamic properties of the atmosphere, equations of motion, hydrostatic equation, continuity equation, Geostrophic approximation, geopotential height, thermal wind, baroclinic and barotropic atmosphere, atmospheric stability and inversion. Air pollution concentration models; fixed-box models, diffusion models. Primary particulate control. Control of sulfur oxides and nitrogen oxides.

The theory and application of adsorption theory. Applications in water and wastewater treatment. Mathematical models and computer aided modeling techniques. Similarities with filtration models.

Advanced level topics in biotechnology. Different topics will be covered according to the need of students and interest of the instructor.

Fundamentals of Hazardous and Toxic waste treatment. Current management practices. Thermal and disposal methods. Site remediation.

Concepts in Aquatic Chemistry. Ways to Interpret Changes in Physical/Chemical Systems. Acid/Base Chemistry. Gas/Liquid Equilibrium. Chemistry of Metals. Software for Solving Chemical Equilibrium problems.

The main topics of this course are: numerical summary statistics, graphical summary techniques, probability theory, probability distributions, mathematical expectation, special probability distributions (bernoulli, binom, poisson), probability density functions (gama, exponantial, chi-square), linear regression and correlation, excell and spss applications, sampling distributions, hypothesis testing.

This course will review major ecological concepts, identify the techniques used by ecologists, provide an overview of local and global environmental issues, and examine individual, group and governmental activities important for protecting natural ecosystems. The course has been designed to provide technical information, to direct the student toward pertinent literature, to identify problems and issues, to utilize research methodology for the study of natural ecosystems, and to consider appropriate solutions and analytical techniques. Discussion and understanding will be emphasized.

Environmental Engineering Chemistry II course deals with Wastewater Quality Parameters, such as Dissolved Oxygen, Chemical Oxygen Demand (COD), Biochemical Oxygen Demand (BOD), Total Organic Carbon, or shortly the Organic Compounds in Water and Wastewater. It is also important to have information about Oil and Grease, Nitrogen, Sulfate, Phosphorus and Phosphate, Surfactants, Trace Contaminants, Toxicity, Heavy Metals. In this course students learn about Gas Analysis, Instrumental Analysis - Gas, Liquid, Ion Chromatography and other instrumental analysis devices. The course further helps the students to understand the pollution concept and how to express and use them to find solutions to the environmental pollution.

Advanced oxidation processes (AOPS) are a combination ozone, hydrogen peroxide, UV light, and catalysts to oxidize chemical compounds that can not be removed by the simple oxidation techniques. The class focuses on AOPs such as UV/O3, UV/H2O2, UV/TiO2, O3/H2O2, O3/FeOH, etc. It discusses the advantages and limitations of AOPs, and the effect of water quality parameters on the efficiency of AOPs.

Various advanced level topics will be covered on environmental engineering, according to the need of students and interest of the instructor.

Various advanced level topics will be covered on environmental sciences, according to the need of students and interest of the instructor.

Meteorology for modeling and control of air pollution; the physical and thermodynamic properties of the atmosphere, equations of motion, hydrostatic equation, continuity equation, Geostrophic approximation, geopotential height, thermal wind, baroclinic and barotropic atmosphere, atmospheric stability and inversion. Air pollution concentration models; fixed-box models, diffusion models. Primary particulate control. Control of sulfur oxides and nitrogen oxides.

Fundamentals of Hazardous and Toxic waste treatment. Current management practices. Thermal and disposal methods. Site remediation.

The source, characteristics and treatment techniques of wastewater generated from various industries. The characterization of industrial wastewater, purpose of treatment and regulations. The detection of the wastewater amount. Waste minimization by changing the processes. Modeling the flow and variability of wastewater. Equalization and flow design. The design of unit processes including physical, chemical and biological processes. Liquid-solid separation by sedimentation, DAF, and filtration. The investigation of wastewater treatment plant process flow diagrams of selected industries.

This is a course will begin with introducing practical skills for the isolation of animals cells for in vitro studies, maintenance of animal cells in vitro, manipulation of animal cells in vitro, and application of molecular techniques to in vitro situations. This course also designed to bridge cell biology with engineering. At the completion of this course, the students should be able to: Discuss the molecular and cellular basis of life from an engineering perspective, identify crucial molecular parameters involved in cellular events measure and manipulate molecular parameters experimentally, apply engineering principles, concepts, and mathematical modelling in studying molecular parameters, cell structure, function, and appropriately capture the salient features of the cellular phenomena. In addition, the students should be able to manipulate the behaviour of biological cells, examine structure-function relationship and explore and criticize the existing and emerging technologies that exploit and extend our knowledge of molecular and cell biology.

In chemical terms water is a dilute solution of various compounds. It can also hold suspensions of several organic and inorganic compounds. This course is about the interactions between these compounds. During this course intermolecular forces (dipole-dipole, ion-dipole, hydrogen bonding, dispersion forces) and the properties of solutions topics are discussed in detail. This course aims understanding of chemical phenomena that occur in water in order to find solutions for water pollution, and also water and wastewater related environmental engineering problems. Principles and applications of chemical equilibria, acid-base reactions, solubility, complex formation, and redox reactions are mainly discussed in this course.

Entering the data collected to the computer, organizing and getting data ready for statistical analyses; normal distribution and sampling distribution of the mean; establishing confidence intervals; writing research questions, research hypotheses, null hypotheses; hypothesis testing. Descriptive statistics: Measures of central tendency and position measurements (arithmetic mean, median, peak, percentile and quartile); measures of variability (distribution width, variance, standard deviation); display of data. Inferential statistics: t-test applications (single-sample t-test, independent samples t-test, dependent samples t-test), analysis of variance applications (one-way ANOVA, two-way ANOVA, MANOVA, ANCOVA); correlations (Pearson and Spearman correlation coefficients), partial correlation; multiple linear regression; exploratory and confirmatory factor analyses; reliability; non-parametric tests (Wilcoxon signed rank test, Mann-Whitney U test, Kruskal-Wallis test, Chi-Square tests); interpreting and writing results of analyses.