Courses: Approved Resource Courses for MS SYSC
BI 526 Evolution (4)
BI 576 Population Biology (4)
COMM 536 Communication & Cognition (4) (formerly SP 536)
CS 541 Artificial Intelligence (3)
CS 543 Combinatorial Search (3)
CS 510/CS 545 Machine Learning (3)
CS 510/CS 546 Advanced Machine Learning (3)
CS 581, 582 Theory of Computation (3,3)
CS 549 Computational Geometry (3)
CS 583 Automata and Formal Languages (3)
CS 584 Algorithm Design and Analysis (3)
EC 570 Econometrics (4)
EC 571 Advanced Econometrics (4)
EC 580 Mathematical Economics (4)
EC 585 Cost Benefit Analysis (4)
EC 595 Applied Advanced Econometrics (4)
ECE 510 Advanced Embedded In Silico and In Materio Computing (4)
ECE 535/635 Statistical Signal Processing (4)
ECE 557 Learning from Data (4)
ECE 559 Genetic Algorithms (4)
ECE 565,566,567 Signals & Noise, Digital Signal Processing, Statistical Communication Theory (4,4,4)
ECE 568,569 Image Processing (4,4)
ESR 510 Environmental Sustainability (4)
ESR 566 Environmental Data Analysis (4)
ETM 530 Decision Making (4)
ETM 538 Decision Support System: Data Warehousing (4)
ETM 540 Operations Research (4)
ETM 545 Project Management (4)
ETM 546 Project Management Tools (4)
ETM 565/665 Research Methods for Engineering and Technology Management (4)
GEOG 696 Methods and Models in Ecosystem Services (4)
ISQA 511 Quantitative Methods for Managers (4)
MTH 410/510 Topic: Game Theory (3)
MTH 410/510 Operations Research (3)
MTH 567, 568 Applied Probability I, II (3,3)
MTH 510, 510 Topics in Control Theory I,II (3,3)
MTH 530 Topics in Mathematical Modeling (3)
MTH 610 Topics in Control Systems - Differential Games (3)
PHL 570 Philosophy of Science (4)
PH 572 Intro. to Nonlinear Dynamics and Chaos (4)
PH 526 Thermodynamics and Statistical Mechanics (4)
PH 664,665,666 Statistical Mechanics (4,4,4)
PSY 521, 522, 523 Univariate Quantitative Methods, Multiple Regression and Multivariate Quantitative Methods, Factor Analysis and Covariance Structure Modeling (5,5,5)
PSY 591, 592, 593 Decision Making I, II, III (4,4,4)
SP 536 Communication & Cognition (4) (now COMM 536)
STAT 551, 552 Applied Statistics for Engineers and Scientists I, II (4,3)
STAT 561,562,563 Intro to Mathematical Statistics I,II,III (3,3,3)
STAT 564 Applied Regression Analysis (3)
STAT 565, 566 Experimental Design: Theory and Methods (3,3)
STAT 567, 568 Applied Probability I, II (3,3)
SOC 593 Quantitative Methods (4)
SYSE 591 Systems Engineering Approach (4)
USP 510 Socio-Technical Change in the City (3)
USP 586/686 Urban Social Networks (3)
USP 613 Urban Economic & Spatial Structure (3)
USP 655 Structural Equation Modeling (3)
A maximum of 4 by-arrangement credits is allowed toward the 45 credits for the Systems Science Master's degree, for the non-thesis option only. All courses should be graded courses (Pass/No Pass courses are not applicable).
