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King Abdullah University of Science and Technology
Program Guide 2021-2022
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Contents
Programs of Study
General Information
Division of Biological and Environmental Science and Engineering (BESE)
Division of Computer, Electrical and Mathematical Science and Engineering (CEMSE)
Division of Physical Science and Engineering (PSE)
Courses
AMCS - Applied Mathematical and Computational Science
AP - Applied Physics
B - Bioscience
BESE-Biological and Environmental Science and Engineering
BioE - Bioengineering
CE - Chemical Engineering
ChemS - Chemical Science
CS - Computer Science
100
200
300
ECE - Electrical and Computer Engineering
EnSE - Environmental Science and Engineering
ERPE - Energy Resources and Petroleum Engineering
ErSE - Earth Science and Engineering
ESL - English as a Second Language
IED - Innovation and Economic Development
MarS - Marine Science
ME - Mechanical Engineering
MSE - Material Science and Engineering
PS - Plant Science
STAT - Statistics
WE - Winter Enrichment
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CS - Computer Science
CS 161
Theory of Computer Science
CS 199
Directed Study in Computer Science
CS 201
Introduction to Programming with Python
CS 204
Data Structures and Algorithms
CS 205
Systems Programming
CS 207
Programming Methodology and Abstractions
CS 213
Knowledge Representation and Reasoning
CS 220
Data Analytics
CS 229
Machine Learning
CS 230
Computer Systems Security
CS 240
Computing Systems and Concurrency
CS 244
Computer Networks
CS 245
Databases
CS 247
Scientific Visualization
CS 248
Computer Graphics
CS 249
Algorithms in Bioinformatics
CS 256
Digital Design and Computer Architecture
CS 260
Design and Analysis of Algorithms
CS 272
Geometric Modeling
CS 283
Deep Generative Modeling
CS 293
Master's Traveling Scholar
CS 294
Contemporary Topics in Computer Science
CS 295
Master's Internship
CS 297
Master's Thesis Research
CS 299
Master's Directed Research
CS 320
Probabilistic Graphical Models
CS 321
Applications of AI in Bioinformatics
CS 322
Applied Ontology
CS 323
Deep Learning for Visual Computing
CS 326
Low-Resource Deep Learning
CS 331
Stochastic Gradient Descent Methods
CS 332
Federated Learning
CS 337
Information Networks
CS 340
Computational Methods in Data Mining
CS 341
Advanced Topics in Data Management
CS 344
Advanced Topics in Computer Networks
CS 345
Advanced Topics in Distributed and Networked Systems
CS 361
Combinatorial Machine Learning
CS 370
Geometry Processing
CS 379
Human-Centric Visualization
CS 380
GPU and GPGPU Programming
CS 393
Doctoral Traveling Scholar
CS 394
Contemporary Topics in Computer Science
CS 395
Doctoral Internship
CS 397
Doctoral Dissertation Research
CS 398
Graduate Seminar
CS 399
Doctoral Directed Research