Office Hours Schedule

TAs host office hours every day in the late afternoon / early evening. These office hours are group-based, so expect a conversation among TAs and your fellow students about recent material, examples, and homework problems. All TA office hours are on the same Zoom link: https://northeastern.zoom.us/s/98332096049

Profs. Strange and Rachlin have 1-1 office hours, so if a private chat would be most helpful please join us. For instructor office hours, you can sign up on calendly for a specific appointment, or just drop in (but appointments take priority). Details are on the course home page.

Mon	Tue	Wed	Thu	Fri
10am-12pm (Strange, Rachlin) 6-8pm (TA)	4-8pm (TA)	10am-12pm (Strange, Rachlin) 5-8pm (TA)	4-8pm (TA)	4-8pm (TA)

Class Schedule

Note: It's likely that the topics will change, but very UNlikely that the dates of labs, homeworks, or exams will. Homeworks are assigned on Friday, and they are due the following Friday at 9:00pm (unless otherwise noted). Quizzes go out on Tuesdays at 4:30pm eastern (via gradescope); you have until 9:50am Friday to complete each quiz and you can submit multiple times.

Short videos will be posted here on the website, ahead of each lecture. During the real-time lecture section, join lecture live. We'll use that time to go more in-depth and answer questions. The total time you'll need to watch the video and join real-time lecture will be no more than the expected 1 hour 5 minutes of an official lecture.

Week	Reading	Topics/Video	HW	Materials
1 Jan 18/21	Ch 1, 2.1-2.3	Videos Gradescope How-To Video #1 -- for 1/18 Video #2 -- for 1/21 Topic: Welcome to DS2000! Variables Assignment Arithmetic operations	HW1 (due 1/28)	Sections 1, 2, 3 1/18 - Data Brainstorm 1/18 - grizz.py 1/18 - Slides 1/21 - Slides 1/21 - digits.py Section 4 01_intro.pdf 01_overview.pdf 02_intro_python.pdf distance.py Handouts How to Approach a Programming Assignment
2 Jan 25/28	Ch 9.1-9.3	Videos Video #3 - for 1/25 Video #4 - for 1/28 Topic: Working with Data Intro to Files Reading text and numbers A little data viz Quiz 1	HW 2 (due 2/4)	Sections 1, 2, 3 1/25 - bones_days.txt 1/25 - bones_summary.txt 1/25 -- noodle.py 1/28 -- november_bones.txt 1/28 -- plot_bones.py 1/28 -- Data Viz Slides Section 4 exercise.py jan_23.dat brain.txt brain.py brain.png matplotlib_cheats matplotlib_tips Handouts Reading Files Data Viz
3 Feb 1/4	Ch 3.1-3.7	Videos Video #5 - for 2/1 Video #6 - for 2/4 Topic: Making Decisions Boolean expressions Conditionals Iteration (while loops) Math library, random Quiz 2	HW 3 (due 2/11)	Sections 1, 2, 3 2/1 - Slides from Video #4 2/1 - buffy.py 2/4 - schneider.txt 2/4 - Slides (tricky conditionals!) 2/4 - jeopardy_totals.py Section 4 control_flow.py control_flow.pdf Trash Talking AI Handouts Conditionals While Loops
4 Feb 8/11	Ch 5.1-5.6	Videos Video #7 - for 2/8 Video #8 - for 2/11 Topic: Lists and Loops Ethics of data sources Intro to lists Iteration (for loops) Quiz 3	Mini-Presentation Reqs	Sections 1-3 jeopardy_w_lists.py medal_counts.txt winter_olympics.py Handouts Lists Section 4 kepler.csv kepler_mission.pdf kepler.py list_fundamentals.py forloops.py dice1.png dice2.png
5 Feb 15/18	Ch 5.7-5.8, 4.1-4.2	Videos Video #9 - for 2/15 Video #10 - for 2/18 Topic: Intro to Functions Lists cont'd Slicing and Indexing Multiple lists Intro to functions Quiz 4	HW4 (due 2/27)	Sections 1-3 2/15 - runner_data_v1.txt 2/15 - List Index Cards 2/15 - process_runner.py 2/18 - runner_data_v2.txt 2/18 - compare_runners.py Sections 4 What is an algorithm? Red Sox winning streaks! Go Sox! list_algorithms.py first_functions.py Handouts Writing functions
6 Feb 22/25	Ch 4.3-4.11	Videos Video #11 - for 2/22 Video #12 - for 2/25 Topic: Functions Cont'd Calling functions Parameters and Scope Return statements Optional Parameters CSV Files and List of Lists Quiz 5	Mini-Presentations Begin!	Sections 1-3 2/22 - DD_US.csv 2/22 - distance_to_coffee.py 2/22 - Our Dunks Map! 2/25 - distance_to_coffee_v2.py Section 4 lol.py pattern.png cherry.csv cherry.py cherry.png phenology_not_phrenology.pdf Handouts Lists of Lists
7 Mar 1	Ch 5.16-5.18	Videos Video #13 - for anytime this week Topic: 2D Lists etc. CSV files cont'd Lists of lists cont'd Iterating with 2d lists Data viz with 2d lists Tuples Quiz 6 Thurs & Fri: NO CLASS	HW 5 (due 3/11)	Sections 1-3 3/1 - compressed.csv 3/1 - compressed2.csv 3/1 - decompression.py 3/1 - Our dino! Section 4 cherry.py (v2) dataproc.py myapp.py cherry.png (v2) cherry_hist.png cherry_cpdf.png
8 Mar 8/11	Ch 6.1-6.2, 9.5	Videos Video #14 - for 3/7 Video #15 - for 3/11 Topic: Dictionaries Dictionaries Keys and values Counting occurrrences	Mini-Presentations End!	Sections 1-3 3/8 - Dictionary Slides 3/8 - neu_geo.csv 3/8 - neu_students.py 3/11 - neu_announcements.txt 3/11 - neu_wordcount.py Section 4 crud.py - An intro to dictionaries The Hill We Climb by Amanda Gorman climb.py - Count word occurrences HuRI.tsv - Protein Interactions protein.py ppi.png networks.pdf Handouts Dictionaries
9 Mar 15/18	Spring Break: NO CLASS
10 Mar 22/25	Ch 8.1-8.9	Videos Video #16 - For 3/22 Topic: String Processing Sentiment analysis Strings and text processing Cleaning data Quiz 7	HW 6 (due 4/1)	Sections 1-3 3/22 - String index cards 3/22 - cleanup.py 3/22 - ASCII values 3/25 - reddit.txt 3/25 - sentiment.py Section 4 asteroid.png positive-words.txt negative-words.txt obama.txt trump.txt dataproc.py strings.ipynb sentiment.ipynb sentiment.pdf (pdf version of notebook) sentiment.png Handouts Strings
11 Mar 29/Apr 1	Ch 10.1-10.4	Videos Video #17 - (same as 3/29 lecture but here for reference after class!) Video #18 - for 4/1 Topic: Classes + Objects Intro to classes and objects Methods Quiz 8	HW 7 (due 4/8)	Sections 1-3 3/29 - card.py 3/29 - card_driver.py 3/29 - OOP Slides 4/1 - card.py 4/1 - deck.py 4/1 - card_driver.py Section 4 object_basics.pdf shapes.py - Shape library network.py - Social Network Handouts Classes & Objects
12 Apr 5/8	Ch 13.1-13.8	Videos Video #19 - for 4/5 Video #20 - for 4/8 Topic: Classes + Objects Cont'd Classes and objects cont'd Structures to represent object data	HW 8 (due 4/17)	Sections 1-3 4/5 - recommendation_system.py 4/5 - review.py 4/8 - reviews_sec1.csv 4/8 - reviews_sec2.csv 4/8 - reviews_sec3.csv3 4/8 - recommendation_system_v2.py Section 4 recommend.py movies.csv
13 Apr 12/15	Ch 8.13, 7.14	Videos Video #21 - for anytime this week Topic: Files and Data Sources JSON files API calls Requests library		Sections 1-3 4/12 - movie.json 4/12 - movie.py 4/12 - create_movies.py 4/15 - starter code (class) 4/15 - starter code (driver) 4/15 - weather.py (finished) 4/15 - temps.py (finished) 4/15 - locations.csv (all) 4/15 - Weather Map - Section 1 4/15 - Weather Map - Section 2 4/15 - Weather Map - Section 3 Section 4 requests_start.ipynb requests.ipynb clean.csv messy.csv grades.xlsx example.json Handouts JSON and APIs
14 Apr 19/22		Topic: Pandas Data processing with Pandas Data frames		Sections 1-3 4/19 - president.csv 4/19 - party_votes.py 4/19 - Today's graph 4/22 - party_plotly.py 4/22 - Our interactive plot! Section 4 exoplanet_start.ipynb exoplanet.ipynb exoplanets.csv kepler_mission.pdf trappist-1f.jpg Interesting Outliers: DS and the progress of science variable_stars.pdf variable_stars.ipynb vsx.zip Handouts Pandas Intro
15 Apr 26		Wrap up Last Day: 4/26		Sections 1-3 Wrap Up Slides