Courses | VD Academic Affairs

Advanced treatment of corrosion engineering with emphasis on industrial local problems. Atmospheric and seawater corrosion. Cathodic and anodic protection. Corrosion: Protection and inhibition.

This course focuses on the design and modeling of various types of catalytic reactors used in Petroleum Refining Industry. Emphasis will be focused on the following refining operations: Catalytic cracking, catalytic hydrocracking, catalytic hydrotreating, catalytic reforming, catalytic isomerization, catalytic alkylation, and catalytic polymerization.

Types of membrane separation processes. Gas permeation in a membrane. Dialysis. Reverse osmosis. Ultrafiltration membrane process. Gel permeation chromatography. Membrane manufacture. Membrane physical and chemical properties.

An upper division of graduate technical elective treating topics in Engineering mostly not covered in other courses, chosen at the discretion of the Graduate Program Committee.

Introduction to statistical mechanical theories. Borownian motion. Dynamics of flexible polymers in ideal solutions. Multichain systems. Visoelasticity theories. Dynamic of a Polymer in a fixed network. Ridged rodlike polymers in ideal solutions. Ridged rodlike polymers in semidilute solutions. Ridged rodlike polymers in concentrated solutions.

Thermodynamics and energy conservation, energy and separation processes, optimization of heat exchanger systems, thermally coupled distillation systems, heat pumps, hybrid desalination systems, economic analysis of technical solution to energy conservation problems, term paper.

Refinery configurations. Characterizations of crude oils and products. Coking. Catalytic cracking. Catalytic hydrocracking. Hydroprocessing and Hydrotreating. Reforming. Product blending. Computer simulation of refinery processes.

Estimation procedures for properties of gases and liquids. Critical properties PVT, heat capacities. Thermodynamic properties, vapor pressure, surface tension, viscosities, thermal conductivities and diffusion coefficients. Application to industrial problems.

Essence of the problem. Thermodynamics of phase equilibrium. Fugacity calculation of thermodynamic properties of fluids using equation of state. Intermolecular forces and theory of corresponding states. Property changes on mixing phase rule. Gibbs Duhem equation. Fundamental equations of, calculation of vapor liquid, liquid- liquid-solubility stability. Application and impact of data precision on design.

An upper division of graduate technical elective treating topics in mostly not covered in other courses, chosen at the discretion of the Graduate Program Committee.

Selected topics in Petrochemical Engineering. Production of alcohols, ethers, aromatics, ethylene, propylene and glycols. Computer simulation of one of the above topics.

The project cycle. Financial statements and ration analysis. Discounted cash flow analysis. Decision rules for single and multiple alternatives. Inflation and currency issues. Rate of return and leverage. Cost/benefit analysis. Cost estimation. Sensitivity analysis and risk management. Monte Carlo simulation and decision tree analysis. Market assessment and forecasting. Supply and demand analysis. Project and case studies.

This course surveys basic computational tools and theory for solving linear and nonlinear optimization problems. The value of these tools will be illustrated on applications including chemical plant design, process operations and scheduling, and parameter estimation. A main goal of the course is to introduce students to the philosophy underlying optimization and the tools necessary to implement this philosophy. A large variety of examples show the wide applicability of optimization methodology.

R&D environment. R&D communication and virtual teams. Integration of R&D into corporate strategy. Developing corporate competence area. Managing competence. Technology acquisition and transfer. Approaches to developing new business areas and management of change. Internal development, licensing, joint ventures, alliances, venture capital and acquisitions.

The concept of technical analysis. Dow theory and behavioral finance. Cycle theory and applications. The long wave and technological issues. Business and market cycles. Elliot wave theory. Fibonacci numbers and applications. Pattern recognition and time series identification. Input/output models and multivariable modelling. Neural networks and applications. Detrending techniques. Oscillators and market timing. Statistical analysis applied to investment management.