CS 25X Spring 2021     Syllabus       [Labs]

Lab Objectives

• Gain practical experience implementing data analysis and visualization techniques discussed in class.
• Create an intuition for what the results of different algorithms and visualization techniques will produce.
• Find and apply python library documentation.
• Use jupyter notebook and matplotlib to visualize datasets and algorithms.
• Use numpy, scipy, pandas, and scikit-learn to modify and analyze datasets.

Hannen Wolfe
Office: Davis 114
Email: hewolfe@colby.edu
In addition to office hours, you are welcome to send me email with a question. I will respond within 24hrs, M-F 8am-5pm. If you find the solution before I respond please email me to let me know.

Office hours:
Remote drop-in office hours are Mondays and Wednesdays 8-9:30am
Office hours by appointment are Mondays 3-5pm and Thursdays 3-4pm
More office hour information including: Drop-in sign-in sheet, zoom link and appointment calendar link

Lab Policies

Attendance

Attendance is mandatory and is worth 1 point of the respective project grade.

If you are sick or quarantined, email Hannah Wolfe before lab and accomodations can be made.

Unless you have explicit permission before class, tardiness and leaving early is unacceptable. Multiple instances will effect your project grade.

Lab Grades

Each lab will be worth 1 point of the respective project grade.

Grading Rubric:
Strong: Lab is complete. (1pt)
Almost There: At least half of the lab is completed. (0.8pt)
Developing: Less than half of the lab is complete. (0.6pt)
Insufficient: The lab was not submitted. (0pt)

Lab Deadlines

Labs are due the next Monday (251L A-D) or Wednesday (251L-E & 252L) night (at 11:59pm) after the section in which the lab was assigned.

Labs received within 1 week of the deadline will lower that week's lab assignment's grade by .2pts.

Labs will not be accepted after the respective project has been submitted.

Lab Sections

*Optional* Lab 0

Office Hours Feb. 10th 1:00-3:50pm [[REMOTE]]
Office Hours Feb. 11th 8:00-9:15am [[REMOTE]]
Office Hours Feb. 11th 1:00-2:20pm [[REMOTE]]

Instead of a traditional lab section, you can join office hours to get started on the first project. If you don't have experience with Python or need to brush up on it, this is a great time to work and ask any questions that arise. If you need to install Python or Jupyter notebook, I can help with that as well.

• Python and Jupyter Notebook Install
• Python Tutorial/Documentation. (parts 2-9)
  • Intro & Lists
  • Conditionals and Control Flow
    • Booleans
    • Conditionals
    • While Loops
  • Data Structures with Lists
    • More Lists
    • For Loops
  • Importing packages
  • File I/O
    • File Handling
    • Opening and Reading Files
  • Classes Basics and More about Classes
  • Error handling
  • None type and More about None type
  • String manipulation (split, join, etc)

Lab 01: Intro to Jupyter Notebook, NumPy and MatPlotLib

Due on Classroom

Lab 02A: Matrix Transformations, Numpy and MatPlotLib

Due on Classroom

Lab 02B: 3D Scatter Plots and Rotation Matrices

Due on Classroom

*Optional* Office Hours

Office Hours Mar. 10th 1:00-3:50pm Davis 122
Office Hours Mar. 11th 8:00-9:15am [[REMOTE]]
Office Hours Mar. 11th 1:00-2:20pm Davis 122

Lab 03: Linear Regression

Due on Classroom

Lab 04A: Pandas and Principle Component Analysis

Due on Classroom

Lab 04B: PCA and Image Compression

Due on Classroom

Lab 05: K-Means

Due on Classroom

*Optional* Office Hours

Lab 06A: K-Nearest Neighbor

Due on Classroom

Lab 06B: Naive Bayes and KNN

Due on Classroom

Lab 07: Networks

Due on Classroom