Faculty of Engineering and Applied Sciences

Post Graduate - Results Found : 5

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CPE802 - Ph.D. Thesis

Faculty : Faculty of Engineering and Applied Sciences
School : Chemical and Petrochemicals Engineering

Prerequisit Course : No Pre-Requisit Courses
Credit Hours : 27.00
Offered For : Post Graduate

Course Description :

No Courses Description
MTH601 - Advanced Mathematics and Statistics II

Faculty : Faculty of Engineering and Applied Sciences
School :

Prerequisit Course : No Pre-Requisit Courses
Credit Hours : 3.00
Offered For : Post Graduate

Course Description :

Selected topics in mathematics and statistics and/or probability theory as per the requirements of each graduate school.
CSE599 - Advanced Topics in Computer Science and Engineering

Faculty : Faculty of Engineering and Applied Sciences
School : Computer Science and Engineering

Prerequisit Course : No Pre-Requisit Courses
Credit Hours : 3.00
Offered For : Post Graduate

Course Description :

Covers cutting-edge topics in CSE. Used as a vehicle to explore such topics potentially including the topic as a regular course. Prerequisites to be determined by course instructor.
CSE508 - Combinatorial Algorithms and Data Structures

Faculty : Faculty of Engineering and Applied Sciences
School : Computer Science and Engineering

Prerequisit Course : No Pre-Requisit Courses
Credit Hours : 3.00
Offered For : Post Graduate

Course Description :

Design and analysis of efficient algorithms for combinatorial problems. Network flow theory, matching theory, matroid theory; augmenting-path algorithms; branch-and-bound algorithms; data structure techniques for efficient implementation of combinatorial algorithms; analysis of data structures; applications of data structure techniques to sorting, searching, and geometric problems.
CSE509 - Computer-Aided Geometric Design and Modeling

Faculty : Faculty of Engineering and Applied Sciences
School : Computer Science and Engineering

Prerequisit Course : No Pre-Requisit Courses
Credit Hours : 3.00
Offered For : Post Graduate

Course Description :

Mathematical techniques for curve and surface representation, including: Hermite interpolation, Bezier curves and surfaces, Splines: B-splines and Beta-splines, Coons patches, tensor product forms, Modeling from acquired 3D data (range images, unorganized sets of polygons, voxels, etc.). Surfaces subdivision and surfaces reconstruction from 3D data for simplification, recognition, retrieval, and classification of 3D objects.