BIOMG 7940

BIOMG 7940

Course information provided by the Courses of Study 2015-2016.

Lectures and seminars on specialized topics. Topics for fall and spring to be announced in the course and time roster published at the beginning of each semester.

When Offered Fall or spring.

Prerequisites/Corequisites Prerequisite: BIOMG 3300, or BIOMG 3330, or BIOMG 3350, or BIOMG 3310/BIOMG 3320 or equivalent.

View Enrollment Information

Syllabi: none
  •   Regular Academic Session. 

  • 0.5-1 Credits Sat/Unsat

  • Topic: NSF Grant Proposal Writing

  •  4473 BIOMG 7940   LEC 001

    • TBA
    • Brown, W

      Fox, T

      Goldberg, M

      Pleiss, J

  • Organization meeting TBA. Enrollment is limited to 1st year graduate students in the Field of Biochemistry, Molecular, and Cell Biology. This class will be team-taught by multiple field faculty members.

Syllabi: none
  •   Regular Academic Session. 

  • 0.5-1 Credits Sat/Unsat

  • Topic: Cellulolytic Microbes

  •  4716 BIOMG 7940   LEC 003

    • TBA
    • Wilson, D

  • Organization meeting TBA. Enrollment is limited to graduate students in the Field of Biochemistry, Molecular, and Cell Biology. Time and days TBA.

Syllabi: none
  •   Regular Academic Session. 

  • 0.5-1 Credits Sat/Unsat

  • Topic: BMCB/GGD Symposium Workshops

  •  5169 BIOMG 7940   LEC 004

    • T
    • Brown, W

      Emr, S

  • Enrollment is limited to graduate students in the Field of Biochemistry, Molecular, and Cell Biology. This mini-course comprises the BMCB/GGD Symposium Workshops. To get credit for one mini-course, students must attend all three workshops and write a summary of the content of each workshop.

Syllabi: none
  •   Regular Academic Session. 

  • 0.5-1 Credits Sat/Unsat

  • Topic: PLSF Seminar

  •  5180 BIOMG 7940   LEC 005

    • TBA
    • Barbash, D

Syllabi: none
  •   Seven Week - First.  Combined with: BIOMG 7800

  • 1 Credit Sat/Unsat

  • Topic: Intro Bioinformatics in Python

  •  4533 BIOMG 7940   LEC 002

  • Enrollment limited to students in the graduate fields of BMCB and GGD. A syllabus and course materials can be found online at: https://drive.google.com/drive/#folders/0B31IWBfSmLynWHpZV1RxUmNYbXc

Syllabi: none
  •   Seven Week - First. 

  • 0.5-1 Credits Sat/Unsat

  • Topic: Adv Stat Methods Expermnt BMCB

  • 17920 BIOMG 7940   LEC 006

  • First meeting will be September 8 at 3pm in Biotech 180. Extracting the most information from experimental data in BMCB often requires statistical methods beyond introductory statistics courses and standard "black box" software. For example, the appropriate use of lognormal distributions, Bayesian statistics, weighted error analysis, and simulations for hypothesis testing can significantly improve accuracy, particularly when the amount of data available is small. We will cover such methods, often in the context of case studies provided by the students, in four to six 1.5-hour sessions. Students should bring a relevant problem, data from their own research, and a laptop with Excel software, to the course.