Course Descriptions

The Course Descriptions catalog describes all undergraduate and graduate courses offered by Michigan State University. The searches below only return course versions Fall 2000 and forward. Please refer to the Archived Course Descriptions for additional information.

Course Numbers Policy

Course Descriptions: Search Results

ANS 849 Applied Bayesian Inference using Monte Carlo Methods for Quantitative Biologists

Semester:
Fall of even years
Credits:
Total Credits: Credits: 3   Lecture/Recitation/Discussion Hours:2   Lab Hours: 2
Recommended Background:
(STT 814 and ZOL 851) or equivalent courses.
Restrictions:
Not open to undergraduate students.
Description:
Applications of Bayesian inference using software in quantitative biology and genetics. Hierarchical and non-hierarchical models. Model checking, model selection and model comparison. Markov chain Monte Carlo methods.
Interdepartmental With:
Fisheries and Wildlife, Statistics and Probability
Administered By:
Fisheries and Wildlife
Effective Dates:
SS13 - US16

ANS 849 Applied Bayesian Inference using Monte Carlo Methods for Quantitative Biologists

Semester:
Fall of even years
Credits:
Total Credits: Credits: 3   Lecture/Recitation/Discussion Hours:2   Lab Hours: 2
Recommended Background:
(STT 814 and IBIO 851) or equivalent courses.
Restrictions:
Not open to undergraduate students.
Description:
Applications of Bayesian inference using software in quantitative biology and genetics. Hierarchical and non-hierarchical models. Model checking, model selection and model comparison. Markov chain Monte Carlo methods.
Interdepartmental With:
Fisheries and Wildlife, Statistics and Probability
Administered By:
Fisheries and Wildlife
Effective Dates:
FS16 - US25

FW 849 Applied Bayesian Inference using Monte Carlo Methods for Quantitative Biologists

Semester:
Fall of even years
Credits:
Total Credits: Credits: 3   Lecture/Recitation/Discussion Hours:2   Lab Hours: 2
Recommended Background:
(STT 814 and IBIO 851) or equivalent courses.
Restrictions:
Not open to undergraduate students.
Description:
Applications of Bayesian inference using software in quantitative biology and genetics. Hierarchical and non-hierarchical models. Model checking, model selection and model comparison. Markov chain Monte Carlo methods.
Interdepartmental With:
Animal Science, Statistics and Probability
Administered By:
Fisheries and Wildlife
Effective Dates:
FS16 - US25

FW 849 Applied Bayesian Inference using Monte Carlo Methods for Quantitative Biologists

Semester:
Fall of even years
Credits:
Total Credits: Credits: 3   Lecture/Recitation/Discussion Hours:2   Lab Hours: 2
Recommended Background:
(STT 814 and ZOL 851) or equivalent courses.
Restrictions:
Not open to undergraduate students.
Description:
Applications of Bayesian inference using software in quantitative biology and genetics. Hierarchical and non-hierarchical models. Model checking, model selection and model comparison. Markov chain Monte Carlo methods.
Interdepartmental With:
Animal Science, Statistics and Probability
Administered By:
Fisheries and Wildlife
Effective Dates:
SS13 - US16

STT 849 Applied Bayesian Inference using Monte Carlo Methods for Quantitative Biologists

Semester:
Fall of even years
Credits:
Total Credits: Credits: 3   Lecture/Recitation/Discussion Hours:2   Lab Hours: 2
Recommended Background:
(STT 814 and ZOL 851) or equivalent courses.
Restrictions:
Not open to undergraduate students.
Description:
Applications of Bayesian inference using software in quantitative biology and genetics. Hierarchical and non-hierarchical models. Model checking, model selection and model comparison. Markov chain Monte Carlo methods.
Interdepartmental With:
Animal Science, Fisheries and Wildlife
Administered By:
Fisheries and Wildlife
Effective Dates:
SS13 - US16

STT 849 Applied Bayesian Inference using Monte Carlo Methods for Quantitative Biologists

Semester:
Fall of even years
Credits:
Total Credits: Credits: 3   Lecture/Recitation/Discussion Hours:2   Lab Hours: 2
Recommended Background:
(STT 814 and IBIO 851) or equivalent courses.
Restrictions:
Not open to undergraduate students.
Description:
Applications of Bayesian inference using software in quantitative biology and genetics. Hierarchical and non-hierarchical models. Model checking, model selection and model comparison. Markov chain Monte Carlo methods.
Interdepartmental With:
Animal Science, Fisheries and Wildlife
Administered By:
Fisheries and Wildlife
Effective Dates:
FS16 - US25