Analysis, design and implementation of multimedia software, primarily for e-learning courses or training. Projects emphasize user interface design, content design with storyboards or scripts, creation of graphics, animation, audio and video materials, and software development using high level authoring tools, such as Flash.
Course Catalogue
Course Code: CSE 427
Course Name:
Multimedia Design and Development
Prerequisite:
Credit Hours:
3.00
Detailed Syllabus:
Course Code: CSE 428
Course Name:
Enterprise System Design and Development
Prerequisite:
Credit Hours:
3.00
Detailed Syllabus:
This module gives an overview of some of the different tiered application architectures (1, 2, 3, N tiers) and some sample designs. The course teaches some of the foundation skills required for building medium to large scale web-based applications, with a B2B e-commerce focus. The course introduces J2EE and Microsoft .NET as two technology architectures for implementing enterprise applications. Java Servlets and Java Server Pages (JSP), Java application servers, integration of data from multiple data sources and distribution of business logic in component-based applications. Multiple application-end delivery formats are considered including web browsers and WAP phones.
Course Code: CSE 429
Course Name:
Digital Image Processing
Prerequisite:
Credit Hours:
3.00
Detailed Syllabus:
Introduction, Digital Image Fundamentals, Image Transform, Image Enhancement, Image Restoration, Image Compression, Image Segmentation, Representation and Description, Recognition and Interpretation.
Course Code: CSE 430
Course Name:
Neural networks and Pattern Recognition
Prerequisite:
Credit Hours:
3.00
Detailed Syllabus:
Introduction to Neural Network; ANN approach to recognition; ANN models, Design and development of ANN; back propagation model.
Introduction to pattern recognition. General pattern recognition concepts. Statistical pattern recognition. Supervised learning using parametric and non-parametric approaches. Linear discriminant functions and the discrete and binary feature cases. Unsupervised learning and clustering. Syntactic Pattern Recognition: Syntactic recognition via parsing and other grammars, graphical approach to syntactic pattern recognition, learning via grammatical inference. Neural Pattern Recognition: Neural pattern associators and matrix approaches, unsupervised learning in neural pattern recognition.
Course Code: CSE 431
Course Name:
Computational Geometry
Prerequisite:
Credit Hours:
3.00
Detailed Syllabus:
Problems in computational geometry, worst case complexity of geometric algorithms; expected complexity of geometric algorithms and geometric probability, geometric intersection problems, nearest neighbor searching, point inclusion problems, distance between sets, polygon decomposition, the Voronoi diagram and other planner graph, updating and deleting from geometric structures.
Course Code: CSE 480
Course Name:
Web Technology
Prerequisite:
Credit Hours:
3.00
Detailed Syllabus:
Designing an Internet utilizing a range of different technologies. Simplifying the creation and updating web content. Expanding Intranet services by adding client-slide and server-side processing. Interfacing Internet to a database. Querying a database using Cold Fusion.
Course Code: CSE 498
Course Name:
Social and Professional Issues
Credit Hours:
3.00
Detailed Syllabus:
History of Computing, Social context of computing, Methods and tools of analysis, Professional and ethical responsibilities, Risks and liabilities of computer-based systems, Intellectual property, Privacy and civil liberties, Computer crime, Economic issues in computing, Philosophical frameworks.
Course Code: CSE 499
Course Name:
Final Year Project/Internship
Prerequisite:
All major core courses
Credit Hours:
4.00
Detailed Syllabus:
Final Year Project/Internship is a subject that must be completed by final year student as a requirement to receive a Bachelor of Science (BSc) degree in Computer Science and Engineering. In this subject the student will be given one semester to work on a task that is related to their field of interest. Students are expected to do their work independently most of the time. But their progress will be monitored closely by their supervisors. At the end of the project/internship, students should document their work in a thesis which must be hard bounded and submitted to the department. Students are also required to submit a soft copy of their thesis to the department.
Important Documents:
Detailed Syllabus
Internship Report Outline
Research Project Report Outline
Supervisor Evaluation form
Examiners Evaluation form
Feedback Form – Industry Supervisor
Course Code: EEE 101
Course Name:
Electrical Circuit I
Credit Hours:
3.00
Detailed Syllabus:
Circuit variables and elements: Voltage, current, power, energy, independent and dependent sources, resistance. Basic laws: Ohm’s law, Kirchhoff’s current and voltage laws. Simple resistive circuits: Series and parallel circuits, voltage and current division, Wye-delta transformation. Technique of circuit analysis: Nodal and Mesh analysis. Network theorems: Source transformation, Thevenin’s, Norton’s and superposition theorems. Maximum power transfer condition and reciprocity theorem. Energy storage elements: Inductors and capacitors, series and parallel combination of inductors and
capacitors. Response of RL, RC, and RLC circuits: transient and steady state responses. Basic magnetic circuits: magnetic quantities and variables: Flux density, magnetomotive force, magnetic field strength, permeability and B-H curve, reluctance. Laws in magnetic circuits: Ohm’s law and Ampere’s circuital law. Magnetic circuits: Composite series magnetic circuit, parallel, and series-parallel circuits. Analogy between electrical and magnetic circuits. Hysteresis loss and magnetic materials.
Course Code: EEE 102
Course Name:
Electrical Circuit I Laboratory
Credit Hours:
1.00
Detailed Syllabus:
In this course students will perform experiments to verify practically the theories and concepts learned in EEE 101.