Syllabus

Table of contents

1. Course description
2. Learning objectives
   1. Corequisites
   2. Credit only granted for
3. Lecture
4. Resources
5. Assignments
6. Office hours

Course description

This course is an introduction to computing and programming through the lens of data. It aims to give you ways of thinking about solving problems using computation. Students will learn to write programs to process both tabular and structured data, to assess programs both experimentally and theoretically, to apply basic data science concepts, and to discuss big ideas around the communication, use, and social impacts of digital information.

The course is targeted to students with a broad diversity in backgrounds and interests. No prerequisites are assumed beyond high school algebra.

Learning objectives

1. Learn how to solve problems systematically using computational thinking.
2. Write and debug programs using a high-level programming language.
3. Understand the concept of algorithms and the importance of algorithm design in computer science.
4. Learn to write programs to process both tabular and structured data.
5. Apply statistical methods to analyze data and draw meaningful conclusions from it.
6. Work with real-world data drawn from a diverse set of domains outside of computer science.
7. Learn how to assess programs both experimentally and theoretically.
8. Understand ethical considerations related to computing.
9. Collect, clean, and manipulate data using common tools and programming languages.
10. Learn how to specify and test behaviors of programs.

Corequisites

MATH 140

Credit only granted for

CMSC141, CMSC131, CMSC133, or IMDM127.

Lecture

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Resources

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Assignments

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Office hours

In-person in [Room] and online on [Zoom?]

There will be walk-in office hours throughout the week (see [schedule]) for you to ask questions and get help on course material. You can attend any TA’s office hours, regardless of which section you are in. Keep in mind that office hours can get very busy right before an assignment is due so you are encouraged to start early.

Here are some guidelines:

• Make sure to come with a clearly formulated question(s) and be caught up with lecture material.
• Before asking for help on a coding assignment you should try to solve the problem by yourself, and be prepared to explain how you approached the problem, what did or did not work, and show the testing blocks you wrote.
• The TAs are there to help you understand concepts from class and point you in the right direction, not do all the work for you.

Everyone, regardless of how well they are doing in the course, is welcome to come to office hours to ask questions, clarify concepts and discuss thier approach or strategy.