Computational Biology (BIOCB)Agriculture and Life Sciences

Showing 9 results.

Course descriptions provided by the Courses of Study 2024-2025.

BIOCB 3620

Life is dynamic and ever-changing. Because of this, a central tool used to study living systems are dynamic models. This course provides an introductory survey of the development, computer implementation, ... view course details

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one laboratory. Combined with: BIOCB 6620

  • 4 Credits Stdnt Opt

  • 19483 BIOCB 3620   LEC 001

    • TR
    • Jan 21 - May 6, 2025
    • Hein, A

  • Instruction Mode: In Person
    For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/

  • 19484 BIOCB 3620   LAB 401

    • F
    • Jan 21 - May 6, 2025
    • Hein, A

  • Instruction Mode: In Person

BIOCB 4830

A rigorous treatment of analysis techniques used to understand complex genetic systems. This course covers both the fundamentals and advances in statistical methodology used to analyze disease ... view course details

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one laboratory. Combined with: BIOCB 6830

  • 4 Credits Graded

  •  1822 BIOCB 4830   LEC 001

    • TR
    • Jan 21 - May 6, 2025
    • Musharoff, S

  • Instruction Mode: In Person
    For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/

  • 20083 BIOCB 4830   LAB 401

    • F
    • Jan 21 - May 6, 2025
    • Musharoff, S

  • Instruction Mode: In Person

BIOCB 4910

This course covers the latest development and cutting-edge research topics in population genetics, aiming to enable students to perform research in population genetics. The first part will cover coalescent ... view course details

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Combined with: BIOCB 6910

  • 3 Credits Graded

  •  2369 BIOCB 4910   LEC 001

    • TR
    • Jan 21 - May 6, 2025
    • Wei, A

  • Instruction Mode: In Person
    For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/

BIOCB 6620

Life is dynamic and ever-changing. Because of this, a central tool used to study living systems are dynamic models. This course provides an introductory survey of the development, computer implementation, ... view course details

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one laboratory. Combined with: BIOCB 3620

  • 4 Credits Stdnt Opt

  • 19490 BIOCB 6620   LEC 001

    • TR
    • Jan 21 - May 6, 2025
    • Hein, A

  • Instruction Mode: In Person
    For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/

  • 19491 BIOCB 6620   LAB 401

    • F
    • Jan 21 - May 6, 2025
    • Hein, A

  • Instruction Mode: In Person

BIOCB 6830

A rigorous treatment of analysis techniques used to understand complex genetic systems. This course covers both the fundamentals and advances in statistical methodology used to analyze disease ... view course details

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one laboratory. Combined with: BIOCB 4830

  • 4 Credits Graded

  •  1820 BIOCB 6830   LEC 001

    • TR
    • Jan 21 - May 6, 2025
    • Musharoff, S

  • Instruction Mode: In Person
    For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/

  • 19504 BIOCB 6830   LAB 401

    • F
    • Jan 21 - May 6, 2025
    • Musharoff, S

  • Instruction Mode: In Person

BIOCB 6890

Graduate seminar on current topics in population genetics. Readings are chosen primarily from current scientific literature. Participation in discussion and presentation of at least one paper required ... view course details

View Enrollment Information

Syllabi: none
  •   Regular Academic Session. 

  • 1 Credit Sat/Unsat

  • 20142 BIOCB 6890   SEM 101

    • W
    • Jan 21 - May 6, 2025
    • Messer, P

  • Instruction Mode: In Person

BIOCB 6910

This course covers the latest development and cutting-edge research topics in population genetics, aiming to enable students to perform research in population genetics. The first part will cover coalescent ... view course details

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Combined with: BIOCB 4910

  • 3 Credits Graded

  •  2370 BIOCB 6910   LEC 001

    • TR
    • Jan 21 - May 6, 2025
    • Wei, A

  • Instruction Mode: In Person
    For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/

BIOCB 7200

Weekly seminar series on recent advances in computational genomics. A selection of the latest papers in the field are read and discussed. Methods are stressed, but biological results and their significance ... view course details

View Enrollment Information

Syllabi: none
  •   Regular Academic Session. 

  • 1 Credit Sat/Unsat

  •  2303 BIOCB 7200   SEM 101

    • F
    • Jan 21 - May 6, 2025
    • Kim, J

  • Instruction Mode: In Person
    For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/

BIOCB 7600

Graduate seminar on methods for building models of biological systems using data, with an emphasis on recent methods including machine learning tools. Students will read and discuss recent literature in ... view course details

View Enrollment Information

Syllabi: none
  •   Regular Academic Session. 

  • 1 Credit S/U NoAud

  • 11522 BIOCB 7600   SEM 101

    • W
    • Jan 21 - May 6, 2025
    • Hein, A

  • Instruction Mode: In Person
    For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/