GMU AIT 721

• Universities
• GMU
• AIT
• 721

Course Description

Raw: This course will introduce students to design principles and design thinking in applied information

Stemmed: introduc student design principl design think appli inform technolog student learn approach design a

Inferred Topics

• 27   (0.808301) 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.