Schedule#

Here you can find the subject matter and assigned reading for every class day as well as expected homework dates.

Please check back here frequently as the schedule is subject to change.

The textbook sections refer to Python Recipes for Earth Sciences by Martin H. Trauth. PDF version is free.

Date (2023)

Class number

Topic

Textbook sections

Notes

M 8/28

1

Course overview; syllabus; Numeracy

1.1

W 8/30

2

Descriptive Statistics part I

1.4, 3.1, 3.2,

M 9/4

NO CLASS

Happy Labor Day!

W 9/6

3

Descriptive Statistics part II

M 9/11

4

Python bootcamp part I

2.1-2.3, 2.7, 2.8

Please bring your laptop with you to class! Homework #1 (HW1) assigned

W 9/13

5

Python bootcamp part II

2.4, 2.5,

2

M 9/18

6

Data Visualization I

2.9

W 9/20

7

Data Visualization II; Python: jupyter, matplotlib, numpy, netCDF4

HW1 due by 11:59pm ET

M 9/25

NO CLASS

Happy Yom Kippur!

HW2 assigned

W 9/27

8

Probability I

3.4

M 10/2

9

Probability II

3.5

W 10/4

10

Probability III

HW2 due by 10:00pm ET; 2-min final project in-class descriptions;

M 10/9

NO CLASS

Happy Columbus Day & Indigenous Peoples’ Day!

T 10/10 2-3:15pm (note abnormal day of week)

11

Hypothesis testing intro; Python: pandas and xarray

3.6

HW3 assigned

W 10/11

12

Populations vs. samples; theoretical probability distributions

3.7

M 10/16

13

Hypothesis testing I

3.13, 3.14

W 10/18

14

Hypothesis testing II

4.1-4.4

HW3 due by 10:00pm ET

M 10/23

15

Wrap hypothesis testing; Midterm 1 review

W 10/25

MT1

MIDTERM 1

M 10/30

16

Science: Linear regression I

HW4 assigned

W 11/1

17

Tech: Python environments; final project specs

M 11/6

18

Science: Linear regression II

5.1

HW4 due Tuesday 11/7 by 10pm

W 11/8

19

Tech: ChatGPT

M 11/13

20

Time Series I

HW5 assigned

W 11/15

21

Tech: Git and github

M 11/20

22

Time Series II (NO IN-PERSON CLASS; pre-recorded)

HW5 due by 10pm; response to classmates’ post due by 10pm Tuesday 11/21.

W 11/22

NO CLASS

Happy Thanksgiving!

M 11/27

23

Time Series III

W 11/29

24

Time Series IV

M 12/4

25

Final project presentations (1st of 2)

W 12/6

26

Final project presentations (2nd of 2)

M 12/11

MT2

MIDTERM 2