CSE 163

Syllabus

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Hunter Schafer

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Agenda

• Overview
• What is this class? Who is taking this class?
• Who are we?
• Syllabus
• What class sessions will look like in the online world
• Introduction to course tools
• Course website
• Ed
• Zoom

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Overview

What is this class?

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Competencies

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1. More advanced programming concepts than in CSE 142 or CSE 160 including how to write bigger programs with multiple classes and modules.�
2. How to work with different types of data: tabular, text, images, geo-spatial, etc.�
3. Ecosystem of data science tools including Jupyter Notebook and various data science libraries including scikit-image, scikit-learn, and pandas data frames.�
4. Basic concepts related to code complexity, efficiency of different types of data structures, and memory management.

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Overview

Who is taking this class?

This class is designed to have students from

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• 142: Know control structures, file I/O, arrays in Java
• Will spend first weeks learning 142 in Python fast!
• Practice is KEY!�
• 160: Know control structures, file I/O, data structures in Python
• First week will be review while everyone learns Python�
• 143 or Beyond: Seen more advanced programming in Java
• Class material should be complementary to what you would have learned in 143
• Competency 1 is aimed at the 143 level of programming

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Who am I?

• Hunter Schafer, Lecturer
• Office Hours
• Time:
• Tuesdays: 10:30 - 12:00 (PDT)
• Wednesdays: 11:30 - 13:30 (PDT)
• Location: CSE 530 Zoom
• Contact
• Personal Matters: hschafer@cs.washington.edu
• Course Content + Logistics: Ed

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Who are the TAs?

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AA (12:30)

AE (11:30)

AB (1:30)

AF (10:30)

AC (2:30)

AG (12:30)

AD (3:30)

Syllabus

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Bicycles?

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Current HW Due

• We don’t record attendance in lecture/section, but attending these sessions is expected
• There are recordings of the class sessions, but the content comes from the lesson

Lesson Due

Lesson Due

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1

3

2

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Pacing

• Even though the class is asynchronous, your peers and the TAs are not so we are releasing the lessons and HWs as we move throughout the quarter
• Due to the online quarter, we don’t have exams
• We are spreading out the first week or so to 2 weeks to ease the transition into the class

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Assessment

Your learning from this course will be assessed by:

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• Weekly Homework Assignments
• Weight: 70%
• Number: Approx 6 assignments
• Final Project
• Weight: 10%
• Number: Just one project, but multiple check-ins
• Lessons
• Weight: 20%
• Number: Due before every lecture (except today!)
• Lessons 2 and 3 are worth 0 points!

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Homework Logistics

• Late Days
• 8 Free Late Days for the whole quarter.
• Can use up to 2 Late Days on any assignment.
• Let us know as early as possible if extenuating circumstances arise!
• Each Late Day used after the 8 Free Late Days results in a -5% on that assignment

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• Collaboration
• You are encouraged to discuss assignments and concepts at a high level
• If you have code in front of you in your discussion, probably NOT high level
• All code and answers submitted must be your own
• Project can be done in groups of 3

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• Getting Help
• Ed Discussion
• Office Hours

Project

• Culmination of all the things you learned in this class.�
• Open ended project where you find and use real-world datasets to answer an interesting question. Encouraged to work with a partner!�
• Broken into various checkpoints throughout quarter:
• Find some possible ideas for datasets and questions
• Pick a research question and your datasets + �find a partner(s)
• Outline methodology and define work plan
• Gather results and write final report
• Final Project presentations will be a recording you make on Zoom!
• Projects have their own set of late days, like HW late days

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Get to Know Each Other

We will use Zoom’s “breakout” feature to make small rooms of 4 or so students.

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Take turns introducing yourself to your breakout room

• Turn on mic/webcam to hear/see your group or just type in chat if you don’t feel comfortable doing that

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You’ll have 2 minutes to say:

1. Your name
2. Where in the world you are calling from
3. Something you’re excited to learn in this quarter!

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Technology�Resources

• Course website: https://cs.uw.edu/163
• Everything you need is linked from here!
• Check the calendar for all links for that day
• Ed: https://us.edstem.org/courses/374/discussion/
• For discussion board, lessons, and HW assignments
• Zoom in Canvas: https://canvas.uw.edu/courses/1371959

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More to come, but we will introduce them as necessary

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Questions?

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Hello World!

• Write a file called hello.py that prints “Hello World!”

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print('Hello World!')

Attempt 1

def main():

print('Hello World!')

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if __name__ == '__main__':

main()

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Attempt 2

Before Next Time

• Try the Ed Tutorial
• Complete the Lesson 2 on Ed
• Save problems for class session!
• Due @ 19:00 on Wednesday
• Worth 0 points this week

Next Time

• More practice with Ed
• Python Crash Course
• How to write a program
• Loops
• Conditionals
• Functions, parameters, returns

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