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 Science (CS)
• Computer, Electrical and Mathematical Sciences and Engineering
• Chemistry (Chem)
• Electrical and Computer Engineering (ECE)
• 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)

Courses

The university offers a variety of courses, including:

• CS - Computer Science
  • 100
  • 200
  • 300
    • CS 300
    • CS 314
    • CS 320
    • CS 321
    • CS 322
    • CS 323
    • CS 324
    • CS 325
    • CS 326
    • CS 327
    • CS 331
    • CS 332
    • CS 337
    • CS 340
    • CS 341
    • CS 344
    • CS 345
    • CS 356
    • CS 361
    • CS 370
    • CS 380
    • CS 393
    • CS 394
    • CS 395
    • CS 397
    • CS 398
    • CS 399

CS 337 Information Networks

Description

The CS 337 Information Networks course covers topics such as probability, stochastic systems, network architecture of the Internet, and systems performance. It includes modeling, experimental design, performance measurement, model development, analytic modeling, single queue facility, networks of queues, stochastic systems, deterministic systems, birth-death model analysis, closed network model, bottleneck, interactive networks, M/M/m queues, M/G/1 priority queues, Markovian queuing model, random numbers, discrete event simulation, verification and validation of simulation models, workload characterization, and benchmarks. The course also explores advanced research papers on using queuing theory for networking systems and consists of a final modeling and simulation project on a novel idea that leads to publication.

Credits

• The course is worth 3 credits.