PDX CS 346
Exploring Complexity in Science and Technology
Course Description
Raw: This course introduces Complex Systems, an interdisciplinary field that studies how collections of s
Stemmed: introduc complex system interdisciplinari field studi collect simpl entiti organ produc complex beha
Inferred Topics
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26
(0.310921) comput, scienc, mathemat, field, scientif, disciplin, visual, complex, model, data
(0.939) RPI CSCI 6350 Data Science
(0.913) RPI CSCI 4350 Data Science
(0.449) GMU CS 101 Preview of Computer Science
(0.401) KSU CIS 115 Introduction to Computing Science
(0.396) ACM KA 0 Computational Science (CN)
(0.381) Utah CS 1030 Foundations of Computer Science
(0.353) Utah CS 3200 Introduction to Scientific Computing
(0.348) UTK COSC 100 Introduction to Computers and Computing
(0.345) GMU CS 330 Formal Methods and Models
(0.311) PDX CS 346 Exploring Complexity in Science and Technology
(0.258) UTK COSC 402 Senior Design Practicum
(0.244) LSU CSC 7375 Robot Vision
(0.234) Stanford CS 205 Mathematical Methods for Robotics, Vision, and Graphics
(0.214) SC CSCE 564 Computational Science
(0.212) LSU CSC 2610 Cloud Fundamentals & Web Programming
(0.204) AU CSC 546 Introduction to Computer Networks
(0.204) ACM EC 0 Discrete Mathematics
(0.189) Utah CS 6170 Computational Topology
(0.185) Utah CS 1410 Introduction to Object-Oriented Programming
(0.176) Utah CS 6600 Mathematical Foundations of Computer Graphics and Visualization
(0.175) PDX CS 669 Scholarship Skills
(0.173) Utah CS 7810 Advanced Computer Architecture
(0.168) ACM EC 0 General Computer Science
(0.161) PDX CS 410 Top: Introduction to Computational Biology
(0.160) GMU AIT 582 Applications of Metadata in Complex Big Data Problems
(0.158) GMU CS 895 Research Topics in CS
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27
(0.254682) learn, student, design, applic, appli, technolog, machin, method, broad, adapt
(0.808) GMU AIT 721 Design of IT Artifacts, Applications and Systems
(0.598) PDX CS 546 Advanced Topics in Machine Learning
(0.556) PDX CS 446 Advanced Topics in Machine Learning
(0.542) GMU AIT 601 Foundations of Applied Information Technology
(0.531) GMU AIT 510 Learning Technology: Theory, Application and Design
(0.424) GMU AIT 602 Introduction to Research in Applied Information Technology
(0.367) GMU AIT 710 Design of Learning and Educational Technologies
(0.353) GMU CS 782 Machine Learning
(0.319) GMU CS 390 Research and Project Design Principles in Computing
(0.310) Stanford CS 377 Designing Solutions to Global Grand Challenges
(0.291) PDX CS 510 Top: Machine Learning Practicum
(0.262) PDX CS 510 Top: Spoken Language Interfaces
(0.255) PDX CS 346 Exploring Complexity in Science and Technology
(0.248) GMU AIT 677 Intelligence Analysis Methods
(0.239) GMU CS 444 Introduction to Computational Biology
(0.237) Stanford CS 193 Apple Watch Programming
(0.220) Stanford CS 377 Topics in Learning and Technology: d.compress - Designing Calm (EDUC 328A)
(0.217) Utah CS 3470 Scripting Language Design and Implementation
(0.214) SC CSCE 517 Computer Crime and Forensics
(0.189) ACM EC 0 Human-Computer Interaction
(0.175) ACM EC 0 General Computer Science
(0.174) GMU CS 685 Autonomous Robotics
(0.173) GMU CS 673 Multimedia Computing and Systems
(0.172) GMU CS 490 Design Exhibition
(0.165) LSU CSC 4740 Big Data Technologies
(0.163) GMU CS 262 Introduction to Low-Level Programming
(0.159) PDX CS 445 Machine Learning
No prerequisites registered.