MAR 536: Biological Statistics II

Course Syllabus

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(
last updated 2023-02-04)

Course Schedule

This page will contain an outline of the topics, content, and assignments for the semester. Note that this schedule will be updated as the semester progresses.

[3/08 note: change in schedule in week 7 & 8 to accommodate snow day on 2/28]

[3/19 note: change in class format for weeks 9 & 10 (lectures via recordings) to accomodate instructor illness]

Week

Date

Topic

Prepare

Slides

AE

Lab

HW

Exam

Project

1

Tue, Jan 17

Introduction

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Wed, Jan 18

Lab 1 -Intro to R/RStudio

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Thu, Jan 19

Probability review

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2

Tue, Jan 24

Data exploration, checking

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Wed, Jan 25

Due: Lab 1

✍️

Wed, Jan 25

Lab 2 - Visualizing data

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Thu, Jan 26

Linear regression review

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Thu, Jan 26

Due: Project topic

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3

Tue, Jan 31

Lab 3 - Probability & linear modeling

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Wed, Feb 01

Due: Lab 2

✍️

Wed,

Feb 01

Linear modeling application

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Thu, Feb 02

Likelihood

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4

Tue, Feb 07

Generalized Linear Models

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Wed, Feb 08

Due: Lab 3

✍️

Wed,

Feb 08

Lab 4 - Data wrangling & model summaries

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Thu, Feb 09

GLMs II (logistic regression)

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Thu, Feb 09

Due: Project description

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5

Tue, Feb 14

Resampling methods, cross-validation

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Wed, Feb 15

Due: Lab 4

✍️

Wed, Feb 15

Lab 5 - Simulation

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Thu, Feb 16

Non-linear models, splines

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6

Tue, Feb 21

No class - Monday schedule

Wed, Feb 22

Due: Lab 5

✍️

Wed, Feb 22

Lab 6 - Iteration

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Thu, Feb 23

GAMs

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7

Tue, Feb 28

Due: Data Exploration Report

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Tue, Feb 28

Matrix Algebra review

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Tue, Feb 28

Midterm distributed

βœ…

Wed, Mar 01

Due: Lab 6

✍️

Wed, Mar 01

Lab 7 - Functions

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Thu, Mar 02

Principal Components Analysis

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SPRING

BREAK

8

Tue, Mar 14

Linear mixed effects model

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Wed, Mar 15

Lab 7 - Functions

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Thu, Mar 16

More mixed effects

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Thu, Mar 16

Due: Midterm

βœ…

9

Tue, Mar 21

Zero-inflated models

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Wed, Mar 22

Due: Lab 7

✍️

Wed, Mar 22

UMASS IMS SYMPOSIUM

Thu, Mar 23

Spatial GLMMs

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10

Tue, Mar 28

Classification / Linear Discriminant Analysis

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Wed, Mar 29

Lab 8

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Thu, Mar 30

Trees

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11

Tue, Apr 04

Ordination methods

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Wed, Apr 05

Due: Lab 8

✍️

Wed, Apr 05

Cluster analysis

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Thu, Apr 06

Student presentations

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12

Tue, Apr 11

Student presentations

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Wed, Apr 12

Student presentations

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Thu, Apr 13

Student presentations

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13

Tue, Apr 25

Course Review

Tue, Apr 25

Due: Project Report

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