Program Overview

King Abdullah University of Science and Technology

The King Abdullah University of Science and Technology offers a range of programs and courses.

Programs of Study

The university provides various programs, including:

• Applied Mathematical and Computational Science (AMCS)
• Applied Physics (AP)
• Bioscience (B)
• Biological and Environmental Science and Engineering (BESE)
• Bioengineering (BioE)
• Chemical Engineering (CE)
• Computer, Electrical and Mathematical Sciences and Engineering
• Chemistry (Chem)
• Computer Science (CS)
• Electrical and Computer Engineering (ECE)

Courses

The university offers a variety of courses, including:

• ECE - Electrical and Computer Engineering
  • 100
  • 200
    • ECE 201
    • ECE 202
    • ECE 203
    • ECE 204
    • ECE 205
    • ECE 206
    • ECE 208
    • ECE 221
    • ECE 222
    • ECE 223
    • ECE 230
    • ECE 231
    • ECE 232
    • ECE 233
    • ECE 242
    • ECE 244
    • ECE 245
    • ECE 251
    • ECE 253
    • ECE 262P
    • ECE 263
    • ECE 271A
    • ECE 271B
    • ECE 272A
    • ECE 272B
    • ECE 273A
    • ECE 273B
    • ECE 274
    • ECE 275
    • ECE 293
    • ECE 294
    • ECE 295
    • ECE 297
    • ECE 299
  • 300
• English
• Environmental Science and Engineering (EnSE)
• Energy Resources and Petroleum Engineering (ERPE)
• Earth Science and Engineering (ErSE)
• Marine Science (MarS)
• Mechanical Engineering (ME)
• Material Science and Engineering (MSE)
• Physical Science and Engineering (PSE)
• Plant Science (PS)
• Statistics (STAT)
• Technology Innovation and Entrepreneurship (TIE)
• Winter Enrichment Program (WE)

ECE 245 Wireless Sensors and Sensor Networks

Course Description

The course focuses on developing a thorough understanding of sensors, actuators, and sensor networks spanning deployment, system architecture, and communication requirements. MAC protocols, data gathering, routing, and queuing are covered by using lectures and a series of specific examples and problems. These illustrate and require the student to understand analysis and design of sensors networks. Finally, the course introduces the student to advanced topics such as collaborative signal processing, distributed computation, and security.

Credits

3