Computational Genomics Electives

Students can take elective courses from the suggested list below to complement their core M.Eng. classes.  Class offerings are subject to change each semester and seat capacity may be limited.  Students may choose elective classes outside of this list with approval from their academic adviser.

  • CS 466 – Introduction to Bioinformatics
  • ANSC 447 – Advanced Genetics and Genomics
  • STAT 530 – Bioinformatics (same as ANSC 543, CHBE 571 and MCB 571)
  • BIOE 598 – Algorithmic Genomic Biology
  • ANSC 440 – Applied Statistical Methods I
  • ANSC 441 – Human Genetics
  • ANSC 448 – Math Modeling in Life Sciences (same as IB 487 and STAT 458)
  • IB 473 – Plant Genomics
  • IB 494 – Theoretical Biology + Models
  • ANSC 446 – Population Genetics
  • CPSC 567 – Bioinformatics & Systems Biol   
  • CS 412 – Introduction to Data Mining
  • CS 512 – Data Mining Principles
  • STAT 448 – Advanced Data Analysis
  • STAT 480 – Data Science Foundations
  • CS 446 – Machine Learning
  • CS 411 – Database Systems
  • STAT 440 – Statistical Data Management
  • GEOG 468  Biological Modeling (same as IB 491, ANSC 449 and CPSC 448)
  • STAT 428 – Statistical Computing (same as CS 428)
  • INFO 591 – Grad Informatics Seminar
  • BIOE 597 – Independent study work based on faculty approval and limited to 2 credit hours per semester