Faculty : Faculty of Engineering and Applied Sciences

School : Energy Resources Engineering

Course Description :

Faculty : Faculty of Engineering and Applied Sciences

School : Energy Resources Engineering

Course Description :

Students will be assigned a practical problem related to the courses they studied. Students will work in teams to develop a prototype, an experimental setup, a computer program or simulation. The course and the project are going to progress in an incremental process throughout the semester.

Faculty : Faculty of Engineering and Applied Sciences

School : Energy Resources Engineering

Course Description :

Incompressible Flow through Multiple Pipes-Pipes in Series -Pipes in Parallel-Branching Pipes -Networks of Pipes – The Boundary layer Along Flat Plate-The Differential and Integral Equations of the Boundary Layer-The Displacement and Momentum Thickness-Approximate Solutions of The Incompressible Laminar and Boundary Layers ; Unsteady Flow in Conduits-Oscillation of Liquid in a U-Tube – Water Hammer Phenomena-Surge tanks; An Introduction to Hydrodynamics- Stream Function -The Velocity Potential-Basic Flow Fields-Combining Flows by Superposition-Some Useful Combined Flow Fields; Flow About Submerged Bodies-Drag Coefficient for Bodies of Revolution-Lift and Circulation-Airfoils of Finite Length-Lift and Drag Diagrams.

Faculty : Faculty of Engineering and Applied Sciences

School : Energy Resources Engineering

Course Description :

Second Law of Thermodynamics –Entropy- Power and refrigeration cycles – Mixtures of ideal gases – Availability and irreversibility – chemical reaction and combustion – Application of first and second Laws of thermodynamics on chemical reactions – Thermodynamic relations and generalized charts – Introduction to chemical equilibrium.

Faculty : Faculty of Engineering and Applied Sciences

School : Energy Resources Engineering

Course Description :

Numerical preliminaries- Solution of equations in one variable-Interpolation and polynomial approximation- Numerical differentiation and integrations, Methods of solving linear systems of equations - numerical solutions of nonlinear systems of equations-Numerical methods for ordinary differential equations- Numerical solution of partial differential equations.