CSE 163, Winter 2021: Calendar

Note: This is a rough sketch of the quarter that is likely to change. We can accurately predict the past, but predicting the future is hard!

Day
Topic
Suppl. Materials
Assignments
Week 1: Intro/Review Python
Lesson 1
(Mon, Jan 4)

Class Introduction

Lesson 2
(Wed, Jan 6)

Intro/Review to Python

Section 1
(Thu, Jan 7)

Introduction & Ed Practice

Lesson 3
(Fri, Jan 8)

More Python

(Sun, Jan 10)

Week 2: More Advanced Python - Data Structures
Lesson 4
(Mon, Jan 11)

Lists and Files

Lesson 5
(Wed, Jan 13)

Sets, Dictionaries, Tuples

Section 2
(Thu, Jan 14)

Python Practice

Lesson 6
(Fri, Jan 15)

Advanced Data Structures and CSVs

(Sun, Jan 17)

Week 3: Structured Text Data - Pandas
Lesson 7
(Mon, Jan 18)

Holiday 🏖

Lesson 8
(Wed, Jan 20)

Intro to Pandas

Section 3
(Thu, Jan 21)

Groupby & Pandas Practice

Lesson 9
(Fri, Jan 22)

More Pandas and Groupby

(Sun, Jan 24)

Week 4: Data Science Libraries
Lesson 10
(Mon, Jan 25)

Data Visualization

Lesson 11
(Wed, Jan 27)

Introduction to Machine Learning

Section 4
(Thu, Jan 28)

Data Science

Lesson 12
(Fri, Jan 29)

Machine Learning cont.

(Sun, Jan 31)

Week 5: Classes, Modules, Text Data
Lesson 13
(Mon, Feb 1)

Introduction to Classes / Objects

Lesson 14
(Wed, Feb 3)

Advanced Classes

Section 5
(Thu, Feb 4)

Classes/Modules

Lesson 15
(Fri, Feb 5)

A4 Introduction

(Sun, Feb 7)

Week 6: Efficiency
Lesson 16
(Mon, Feb 8)

Algorithmic Efficiency

Lesson 17
(Wed, Feb 10)

Profiling & Memory

Section 6
(Thurs, Feb 11)

TA's Choice & A4 Help

Lesson 18
(Fri, Feb 12)

Geospatial

(Sun, Feb 14)

Week 7: Geospatial Data
Lesson 19
(Mon, Feb 15)

Holiday 🏖

Lesson 20
(Wed, Feb 17)

Dissolve and Joins

Section 7
(Thurs, Feb 18)

Geospatial Data

Lesson 21
(Fri, Feb 19)

Indexes / Trees

(Sun, Feb 21)

Week 8: Images
Lesson 22
(Mon, Feb 22)

Numpy

Lesson 23
(Wed, Feb 24)

Numpy and Images

Section 8
(Thurs, Aug 6)

Numpy and Images

Lesson 24
(Fri, Feb 26)

Machine Learning: Images

(Sun, Feb 28)

Week 9: Misc Topics
Lesson 25
(Mon, Mar 1)

No class!

(Tue, Mar 2)

Lesson 26
(Wed, Mar 3)

Hashing

Section 9
(Thurs, Mar 4)

TBD

Lesson 27
(Fri, Mar 5)

Ethics and Data Science

(Sun, Mar 7)

Week 10: Course Wrapup, Next Steps
Lesson 28
(Mon, Mar 8)

Algorithmic Fairness

Lesson 29
(Wed, Mar 10)

Privacy

Section 10
(Thurs, Mar 11)

Office Hours

Lesson 30
(Fri, Mar 12)

Victory Lap & Next Steps

Finals Week
(Tue, Mar 16)

(Thur, Mar 18)

(Sun, Mar 21)