EDUCATION

The following is a list of courses we study:

FALL

  • EE 5531 Probability and Stochastic Processes

  • CSCI 5551 Introduction to Intelligent Robotic Systems

  • CSCI 5304 Computational Aspects of Matrix Theory

  • CSCI 5521 Pattern Recognition

  • EE 8231 Optimization theory

  • MATH 5385: Computational Algebraic Geometry
  • CSCI 5525 Machine Learning

  • EE 8541 Image Processing and Applications

  • EE 5231 Linear Systems and Optimal Control

  • CSCI 5511 Artificial Intelligence I

  • CSCI 5211 Data Communications and Computer Networks

  • CSCI 5421 Advanced Algorithms and Data Structures

  • CSCI 8404 Design and Analysis of Approximation Algorithms

  • EE 8215 (or AEM 8412) Nonlinear Systems

  • EE 8213 Advanced System Theory

  • AEM 8401 Modern Feedback Control

SPRING

  • EE 8581 Detection and Estimation Theory

  • CSCI 5552 Sensing and Estimation in Robotics

  • CSCI 5561 Computer Vision

  • EE 8950 Engineering optimization

  • CSCI 5302 Analysis of Numerical Algorithms

  • CSCI 5512W Artificial Intelligence II

  • EE 5235 Robust Control System Design

  • AEM 5431 Trajectory Optimization

  • AEM 8421 Robust Multivariable Control Design

  • AEM 8442 Navigation and Guidance Systems

  • AEM 8413 Advanced Nonlinear Systems

  • MATH 5467 Introduction to the Mathematics of Wavelets

  • CSCI 5403 Computational Complexity

  • CSCI 8442 Computational Geometry and Applications

 
 
 
 
Computer Science and EngineeringUniversity of MinnesotaInstitute of Technology