Curriculum: Approved Courses

The following courses are normally approved by the graduate committee:

Purdue CS courses at the 500 level or above, except CS 501. (CS 535 is approved when taught by a faculty member whose primary appointment is in this department.)

Other Purdue courses:

BIOL 51700: Molecular Biology: Proteins -- if taken for the Computational Life Sciences concentration

BIOL 54100: Molecular Genetics of Bacteria -- if taken for the
Computational Life Sciences concentration

  • ECE 565: Computer Architecture
  • ECE 570: Programming Languages for Artificial Intelligence (IE 547)
  • ECE 600: Random Variables and Signals
  • ECE 661: Image Processing
  • ECE 695B: Fault-Tolerant Computer System Design
  • IE 535: Linear Programming
  • IE 547: Programming Languages for Artificial Intelligence (ECE 570)
  • IE 580: Systems Simulation
  • MA 51100:   Linear Algebra with Applications -- if taken at Purdue as a prerequisite for CS 51500
  • MA 518: Advanced Discrete Mathematics
  • MA 520: Boundary Value Problems of Differential Equations
  • MA 523: Introduction to Partial Differential Equations
  • MA 525: Introduction to Complex Analysis
  • MA 575: Linear Graph Theory
  • MA 585: Mathematical Logic I
  • MA 586: Mathematical Logic II
  • MA 611: Methods of Applied Mathematics I
  • STAT 519: Introduction to Probability
  • STAT 522: Sampling and Survey Techniques
  • STAT 528: Introduction to Mathematical Statistics
  • STAT 529: Applied Decision Theory and Bayesian Statistics
  • STAT 598A: Introduction to Machine Learning
  • STAT 598: Probabilistic Graph Models

Other courses, including courses at other institutions, may be approved on an individual basis. Please submit a course syllabus, along with comparison (if applicable) with courses in the department.

The following courses are generally not approved by the graduate committee:

Courses cross-listed as graduate and undergraduate courses, or offered for both graduate and undergraduate credit, unless primarily taken by graduate students

The following Purdue courses:

  • CPT 581F: Introduction to Computer Forensics (meets with 499F)
  • ECE 608: Computational Models and Methods
  • MA 511: Linear Algebra with Applications
  • STAT 501: Experimental Statistics I
  • STAT 502: Experimental Statistics II
  • STAT 511: Statistical Methods
  • STAT 512: Applied Regression Analysis

Contact Us: grad-info@cs.purdue.edu
Last Updated: April 06, 2011 03:55PM