GMU CS 787
Decision Guidance Systems
Course Description
Raw: Decision-guidance systems support an iterative process of giving actionable recommendations to and e
Stemmed: decis guidanc system support iter process give action recommend extract feedback human decis maker g
Inferred Topics
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3
(0.308377) activ, guidanc, singl, simultan, curricula, elect, action, consist, recipi, agreement
(0.324) GMU CS 990 Dissertation Topic Presentation
(0.308) GMU CS 787 Decision Guidance Systems
(0.228) ACM KA 0 Parallel and Distributed Computing (PD)
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61
(0.278987) softwar, design, test, system, develop, requir, manag, model, engin, specif
(0.946) PDX CS 454 Software Engineering
(0.938) KSU CIS 748 Advanced Software Management
(0.910) KSU CIS 641 Software Engineering Design Project
(0.906) PDX CS 554 Software Engineering
(0.894) KSU CIS 548 Software Management
(0.879) UTK COSC 340 Software Engineering
(0.867) KSU CIS 740 Software Engineering
(0.834) KSU CIS 746 Software Measurement
(0.775) ACM EC 0 Software Engineering Practices
(0.748) LSU CSC 4330 Software Systems Development
(0.728) SC CSCE 317 Computer Systems Engineering
(0.716) SC CSCE 240 Introduction to Software Engineering
(0.711) GMU CS 321 Software Requirements and Design Modeling
(0.708) KSU CIS 642 Software Engineering Project I
(0.674) KSU CIS 501 Software Architecture and Design
(0.671) LSU CSC 7135 Software Engineering
(0.654) ACM EC 0 Software Engineering
(0.651) KSU CIS 643 Software Engineering Project II
(0.600) Utah CS 3500 Software Practice
(0.558) KSU CIS 640 Software Testing Techniques
(0.557) PDX CS 555 Software Specification & Verification
(0.548) RPI CSCI 4440 Software Design and Documentation
(0.526) ACM EC 0 Software Engineering Practices
(0.511) PDX CS 300 Elements Of Software Engineering
(0.493) PDX CS 556 Software Implementation and Testing
(0.485) RPI CSCI 2600 Principles of Software
(0.462) LSU CSC 4370 Software Modeling Techniques
(0.395) SC CSCE 490 Capstone Software Engineering Project I
(0.394) Utah CS 5010 Software Practice
(0.392) AU CSC 543 Object-Oriented Analysis and Design
(0.371) GMU CS 681 Designing Expert Systems
(0.368) SC CSCE 492 Capstone Software Engineering Project II
(0.356) Utah CS 3710 Computer Design Laboratory
(0.350) KSU CIS 585 Game Engine Design
(0.350) SC CSCE 415 Mainframe Systems
(0.331) GMU AIT 521 Software Engineering Essentials
(0.326) LSU CSC 3380 Object Oriented Design
(0.323) KSU CIS 645 Software Development Environments
(0.317) Stanford CS 190 Software Design Studio
(0.307) SC CSCE 613 Fundamentals of VLSI Chip Design
(0.298) Stanford CS 272 Introduction to Biomedical Informatics Research Methodology (BIOE 212, BIOMEDIN 212, GENE 212)
(0.296) KSU CIS 771 Software Specification
(0.283) KSU CIS 521 Real-Time Programming Laboratory
(0.279) GMU CS 787 Decision Guidance Systems
(0.267) SC CSCE 547 Windows Programming
(0.238) GMU CS 706 Concurrent Software Systems
(0.232) SC CSCE 612 VLSI System Design
(0.232) PDX CS 559 Software Measurement & Models
(0.232) Stanford CS 110 Principles of Computer Systems
(0.228) ACM EC 0 Software Development
(0.227) KSU CIS 636 Introduction to Computer Graphics
(0.199) GMU CS 105 Computer Ethics and Society
(0.199) Stanford CS 227 General Game Playing
(0.198) SC CSCE 548 Building Secure Software
(0.198) Stanford CS 194 Software Project
(0.198) KSU CIS 102 Introduction to Spreadsheet Applications
(0.194) Utah CS 5530 Database Systems
(0.188) ACM EC 0 Introduction to Programming Languages
(0.180) LSU CSC 3102 Advanced Data Structures and Algorithm Analysis
(0.166) KSU CIS 200 Programming Fundamentals
(0.160) ACM KA 0 Software Engineering (SE)
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30
(0.247406) learn, decis, network, model, algorithm, topic, method, probabilist, neural, approach
(0.947) RPI CSCI 4100 Machine and Computational Learning
(0.925) RPI CSCI 6100 Machine and Computational Learning
(0.803) SC CSCE 582 Bayesian Networks and Decision Graphs
(0.757) KSU CIS 732 Machine Learning and Pattern Recognition
(0.639) UTK COSC 425 Introduction to Machine Learning
(0.634) LSU CSC 7333 Machine Learning
(0.522) Stanford CS 373 Statistical and Machine Learning Methods for Genomics (BIO 268, BIOMEDIN 245, GENE 245, STATS 345)
(0.496) GMU CS 688 Pattern Recognition
(0.491) ACM EC 0 Artificial Intelligence Programming
(0.443) Utah CS 5350 Machine Learning
(0.412) Utah CS 6760 Modeling and Analysis of Biological Networks
(0.409) PDX CS 480 Randomized Algorithms and Probabilistic Analysis
(0.409) PDX CS 580 Randomized Algorithms and Probabilistic Analysis
(0.353) UTK COSC 420 Biologically-Inspired Computation
(0.345) Stanford CS 323 Automated Reasoning: Theory and Applications
(0.320) ACM EC 0 Introduction to Artificial Intelligence
(0.311) GMU AIT 631 Advanced Decision Making in IT Ventures
(0.310) GMU CS 775 Advanced Pattern Recognition
(0.287) GMU AIT 500 Quantitative Foundations for Information Systems Analysis
(0.273) Utah CS 5740 Computer-Aided Design of Digital Circuits
(0.272) LSU CSC 1240 Statistics and Graphics with MATLAB
(0.247) GMU CS 787 Decision Guidance Systems
(0.243) LSU CSC 4512 Optimization: Modeling Approaches, Algorithms and Applications
(0.239) Stanford CS 109 Statistical Computing with R Laboratory
(0.217) GMU CS 774 Computational Vision
(0.207) AU CSC 589 Topics in Computer Science
(0.175) KSU CIS 530 Introduction to Artificial Intelligence
(0.165) PDX CS 573 Computer Communications
(0.158) PDX CS 549 Computational Geometry
(0.156) LSU CSC 1200 Ethics in Computing