Faculty : Faculty of Engineering and Applied Sciences

School : Chemical and Petrochemicals Engineering

Course Description :

Survey of aliphatic and aromatic organic chemistry, with emphasis on reactions from both a synthetic and mechanistic. Aromatic compounds, phenols and aryl halides delocalized chemical bonding; aldehydes and ketones; amines; carboxylic acids and their derivatives; lipids such as fatty acids and triglycerides; and carbohydrates.

Faculty : Faculty of Engineering and Applied Sciences

School : Chemical and Petrochemicals Engineering

Course Description :

Fundamental principles and theories with special emphasis on chemical calculations. The gases and gas laws, kinetic molecular theory, atomic structures, and the periodic table, acids and bases, equilibrium, chemical kinetics, thermochemistry, electrochemistry and radiochemistry.

Faculty : Faculty of Engineering and Applied Sciences

School : Chemical and Petrochemicals Engineering

Course Description :

Heat and work, processes and cycles, temperature and zeroth law of thermodynamics. Energy Transfer. First law of Thermodynamics. Properties of pure substance. Energy Analysis of closed system. Mass and Energy Analysis of control volumes, The second law of Thermodynamics., Entropy , Reversible steady flow work, Entropy balance, Exergy , The second law efficiency.

Faculty : Faculty of Engineering and Applied Sciences

School : Chemical and Petrochemicals Engineering

Course Description :

Gas Power cycles , Vapor Power cycles, The Rankine cycle, The Reheat Rankine Cycle, The Regenerative Rankine Cycle. The second law Analysis of vapor cycles. Combined Gas –Vapor power cycles .Cogeneration. Refrigeration cycles, Thermodynamic property relations, Gas mixtures

Faculty : Faculty of Engineering and Applied Sciences

School :

Course Description :

This course consists of two main parts. The first part considers basic concepts of linear algebra with applications. This part starts with techniques for solving a system of linear equations along with reducing a matrix its reduced echelon form. Then, linear combination between vectors in linear algebra is presented and the notion of linear independence/dependence is introduced. Computation and interpretation of a rank of a matrix is also given with an application to determining the solution nature of a system of linear equations. The problem of eigenvalues and eigenvectors is then presented with applications to problems such as matrix exponentiation and matrix diagonalization. In the second part, basic background on single/multiple variables calculus and ordinary/partial differential equations is presented. In the single variable calculus, topics presented include limits, differentiation, Indefinite/definite integration, and series expansion of a single variable function. For multi-variable calculus, partial differentiation, and multiple integrals are presented with different applications. For ordinary differential equations, analytical techniques for solving both first-order differential equations and linear differential equations of second order and higher orders are presented. Partial differential equations part covers the separation of variables technique with application to wave, heat and Laplace equations.