Course Listings at CIS

The following is the list of courses chosen for the CIS curriculum. They are from a variety of departments across the university. Please visit the individual course pages to learn more about the course content and pre-requisites.

Applied Mathematics and Statistics

Course #

Course Name

Semester

Prerequisites

550.420

Introduction to Probability

Fall

One year of calculus

550.426

Introduction to Stochastic Processes

Spring

Introduction to Probability

550.430

Introduction to Statistics

Spring

Introduction -to Probability

550.434

Nonparametric and Robust Methods

 

Introduction to Statistics

550.437

Statistics, Information and Vision

Fall

Introduction to Probability, Introduction to Statistics

550.620

Probability Theory I

Fall

Analysis I,Introduction to Probability

550.621

Probability Theory II

Spring

Probability Theory I

550.626

Stochastic Processes II

 

Introduction to Stochastic Processes

550.630

Statistical Theory

Spring

Introduction to Probability

550.631

Statistical Inference

Fall

Statistical Theory

550.632

Multivariate Statistical Theory

 

Statistical Theory, Matrix Analysis and Linear Algebra

550.633

Time Series Analysis

 

Statistical Theory, Matrix Analysis and Linear Algebra

550.634

Nonparametric and Robust Inference

 

Statistical Theory

550.661

Foundations of Optimization

Fall

Analysis I

550.662

Optimization Algorithms

Spring

Foundations of Optimization

550.672

Graph Theory

Spring

Linear Algebra

550.681

Numerical Analysis

Spring

 

550.692

Matrix Analysis and Linear Algebra

Fall

 

550.723

Markov Chains

 

 

550.730

Topics in Statistics

 

 

550.764

Optimization of Functionals

 

Analysis I, Foundations of Optimization

Biomedical Engineering

Course #

Course Name

Semester

Prerequisites

580.473

Magnetic Resonance in Medicine

Fall

Signals and Systems

Computer Science

Course #

Course Name

Semester

Prerequisites

600.441

Vision-Based Interaction for Man and Machine

 

Computer Vision

600.445

Computer-Integrated Surgery I

Fall

 

600.446

Computer-Integrated Surgery II

Spring

Computer-Integrated Surgery I

600.461

Computer Vision

Fall

Data Structures, Calculus III, Linear Algebra

600.462

Applications of Computer Vision

 

Computer Vision

600.630

Advanced Topics in Physics-Based Computer Vision

 

 

600.646

Advanced Computer-Integrated Surgery

Spring

Computer-Integrated Surgery I

600.652

Advanced Computer-Integrated Surgery Seminar

Spring

Computer-Integrated Surgery I

Electrical and Computer Engineering

Course #

Course Name

Semester

Prerequisites

520.414

Image Processing and Analysis I

Fall

Signals and Systems

520.415

Image Processing and Analysis II

Spring

Image Processing and Analysis I

520.419

Iterative Algorithms

Fall

 

520.435

Digital Signal Processing

Fall

Signals and Systems

520.447

Introduction to Information Theory and Coding

Fall

 

520.608

Image Reconstruction and Restoration

Spring

Random Signal Analysis

520.614

Linear System Theory

 

 

520.630

Introduction to the Calculus of Variations and Optimal Control

 

Analysis I

520.643

Digital Multimedia Coding and Processing

Fall

Digital Signal Processing

520.645

Adaptive Filtering

Fall

Digital Signal Processing

520.646

Wavelets and Filter Banks

Spring

Digital Signal Processing

520.651

Random Signal Analysis

Fall

 

520.652

Filtering and Smoothing

Spring

Random Signal Analysis

520.674

Information Theoretic Methods in Statistics

Spring

 

Mathematics

Course #

Course Name

Semester

Prerequisites

110.405

Analysis I

Fall

Calculus III, Linear Algebra

110.413

Introduction to Topology

Alternate Years

Calculus III

110.417

Partial Differential Equations for Applications

Alternate Spring

Calculus III, Linear Algebra

110.427

Introduction to Calculus of Variation

 

Calculus I, II

110.439

Introduction to Differential Geometry

Alternate Years

Calculus III, Linear Algebra

110.619 110.620

Lie Groups and Lie Algebras

 

Advanced Algebra II

110.631 110.632

Partial Differential Equations

 

Real Variables

110.645 110.646

Riemannian Geometry

 

Analysis I, Introduction to Topology

Mechanical Engineering

Course #

Course Name

Semester

Prerequisites

530.601

Continuum Mechanics

Fall

 

530.648

Group Theory in Engineering Design

Alternate Falls

 

Cross Listed Courses

Course #

Course Name

Departments

Semester

Prerequisites

600.746 520.746

Medical Image Analysis Seminar

CS,ECE

 

 

520.432 580.472

Medical Imaging Systems

ECE,BME

Spring

Signals and Systems

520.644 580.744

Pattern Theory: From representation to Inference

ECE, BME

Spring