List of Selected Courses
Fall Semester
- CE 408 GIS in Engineering, Shan (not active)
- CE 522 Computer Applications in Construction, Cai
- CE 597 Photogrammetric system, Habib
- CE 597 Remote sensing, Crawford
- CE 597 Data adjustment, Bethel
- CE 597 Geospatial Data Analytics, Shan (odd years)
- CE 597 Geospatial Modeling and Analysis, Shan (even years)
- CE 597 Image-Based Sensing, Jahanshahi (1 hr lecture; 2 hr lab)
- CE 614 Stat & Econometric Methods I
- AAE 532 Orbit Mechanics
- AAE 550 Multidisciplinary Design Optimization, William A. Crossle
- AAE 575 Introduction to Satellite Navigation and Positioning, James Garrison (odd years)
- ASM 540 GIS Application
- CNIT 623 Big Data Machine Learning
- CS 501 Computing For Science And Engineering
- ILS 590 GIS Project Experience
- EAPS 507 Introduction to Analysis and Computing with Geospatial Data, Tung
- EAPS 556 Planetary Geology
- EAPS 541 Geodetic Data and Applications, Elliot
- EAPS 577 Remote Sensing of the Planets, Horgan
- EAPS 591 Integrated Global Sys Modeling
- ECE 368 Data Structures
- ECE 496 Machine Learning In Imaging
- ECE 538 Digital Signal Processing I
- ECE 562 Introduction To Data Management (odd years)
- ECE 569 Introduction To Robotic Systems
- ECE 570 Artificial Intelligence
- ECE 595 Machine Learning II
- ECE 595 Data Anlys-Des Of Exp-Mach Lrn
- ECE 595 Deep Learning for Computer Vision (Fall 2020 as an experimental course, not sure if offered or not for following years)
- ECE 600 Random Variables And Signals
- ECE 604 Electromagnetic Field Theory
- ECE 608 Computational Models And Methods
- ECE 615 Nonlinear Optics (even years)
- ECE 616 Ultrafast Optics (odd years)
- ECE 629 Introduction to Neural Networks
- ECE 632 Machine Learning and Data Mining (odd years)
- ECE 641 Digital Image Processing II
- ECE 641 Model-Based Image and Signal Processing (even years)
- ECE 661 Computer Vision (even years)
- ECE 678 Radar Engineering (even years)
- IE 535 Linear Programming
- IE 561 Introduction To Convex Optimization
- IE 590 Deep Learning In Machine Vision
- NUCL 597 Big Data & Machine Learn Engr
- STAT514 Design of Experiment
Spring Semester
- CE 597 Laser Scanning, Habib
- CE 597 Geographic Information Systems, Shan
- CE 597 Map Projection and Geometric Geodesy, Jung
- AAE 523 Intro to Remote Sensing, James Garrison (even years)
- ABE 651 Environmental Informatics
- EAPS 515 Geodata Science (Offered as EAPS 59100 in Spring 2018)
- EAPS 527 Principles Of Terrestrial Ecosystem Ecology
- ECE 412 Introduction to Engineering Optics
- ECE 552 Introduction to Lasers
- ECE 577 Engineering Aspects of Remote Sensing, Okan Ersoy (even years)
- ECE 580 Optimization Methods For Systems And Control
- ECE 595 Machine Learning I
- ECE 595/BME 695 Deep Learning
- ECE 600 Random Variables And Signals
- ECE 604 Electromagnetic Field Theory
- ECE 608 Computational Models And Methods
- ECE 637 Digital Image Processing I
- ECE 645 Estimation Theory
- ECE 647 Convex and Stochastic Optimization and Applications (odd years)
- ECE 648 Wavelet, Time-Frequency, and Multirate Signal Processing (odd years)
- ECE 662 Pattern Recognition and Decision Making Processes (even years)
- ECE 695 Deep Learning (experimental course, offered in Spring 2020; not sure for now)
- ECE 695 Inference and Learning in Generative Models (Experimental Course Offered: Spring 2021; not sure now)
- MATH 511 Linear Algebra
- STAT 511 Statistical Methods
- STAT 695 D&R Big Data High Comp Cmplxty
Summer Semester
- CS 590 Foundations Of CS
- STAT 512 Applied Regression Analysis