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.


Aims to understand the efficient use of the kinetics of chemical reactions as well as the transport processes for the successful design and operation of chemical reactors in environmental engineering. Includes reaction kinetics for homogeneous reactions, design for single and multiple reactors, reactor design for non-ideal flow, fundamentals of mass transfer, absorption and desorption of gases and volatile organics, aeration, heterogeneous reacting systems, simultaneous mass-transfer and chemical reactions in gas/liquid and liquid/solid systems.

Control of nutrients, classification of biological nutrient removal systems, design methods of single sludge systems. Removal of nitrogen by biological nitrification and denitrification. Applications of computer programs in wastewater treatment plant design. Computer programs used in Biological Nutrient Removal systems analysis. 

The source, characteristics and treatment techniques of wastewater generated from various industries. The caracterization 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.

The Dynamic Nature of Chemical Equilibrium. The Thermodynamic Basis of Chemical Equilibrium. Nonideal Behaviour of Ions and Molecules in Solution. Acid-Base Chemistry. Coordination Chemistry. Precipitation and Dissolution, Oxidation Reduction Reactions. 

The content includes Hazardous waste concept, Criteria of hazardous waste for determination,Hazardous waste impoundment, Hazardous waste management, Transportation of hazardous waste, Management, treatment and disposal, Incineration and treatment technologies, Landfilling and disposal strategies, Determination of the hazardous waste sites, Site planning, Deep well injection, Disposal to spent mine.

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.

Physico-Chemical processes encompassing quality transformations in natural waters, drinking waters, process waters and municipal and industrial wastewaters. Stability indices. Enhanced coagulation and flocculation, sedimentation, flotation, filtration, adsorption, activated carbon systems, ion exchange, membrane processes, chemical oxidation, photochemical reactions, disinfection, gas scrubbing systems. 

The course involves in depth understanding of micropollutants, adverse effects of micropollutants in biological systems, types of membrane technologies (Microfiltration and Ultrafiltration, Nanofilration and Reverse Osmosis, Pervaporation, Vapour Permeation and Gas Separation, Membrane Reactors, Bioreactors, Dialysis, Membrane Contactors and Liquid Membranes), general transport models in membrane, application of the membrane technology for the removal of micropollutants from water and a brief introduction to membrane reactor design. It is an interactive course which encourages the students to understand detailed course materials and communicate this understanding with effective presentation tools.


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.