| Course Title: Introduction to Computational Problem Solving: 'Big Data' |
| Start Date: 08/30/2021 End Date: 12/13/2021 |
| Term: Fall Semester 2021 |
| Description: Introduces students to algorithms, basic data structures, and programming techniques, and focuses on data collection, preparation, analysis. Explores programming for data manipulation, the presentation and representation of data, and the ethics of working with data at scale. |
| Distribution(s): II - Math & Sciences , TP - Topics Course |
| Academic Level Of Course: Undergraduate | Credits:4.00 |
| Faculty | Phone | Email address |
| Barbara Lerner | blerner@mtholyoke.edu |
| Meeting Dates | Method | Meeting days | Meeting times | Building name | Room | Frequency |
| 08/30/2021 - 12/13/2021 | Lecture | Monday and Wednesday | 10:00AM - 11:15AM | CLEV - Cleveland | 003L | Weekly |
| Requisite Courses | ||
| Coreq: COMSC-151DSL. | Take concurrently | Required |
| Comments |
| Additional Comments |
| Course Tags | ||
| NXDTA0001 | NXDTA: Nexus in Data Analytics and Society | This course is approved for the Data Analytics |
| DATA0001 | DATA-SCI: Data Science Core Course | This is a required core course of the Data Science major. |
| Cross-listed Sections |
| None |
| Course Availability | ||||
| Section status: Open | Capacity: 38 | Enrollment: 35 | Available: 3 | Waitlist: 0 |
BOOK INFORMATION
| Book List | Required | Publisher Full Price |
| To be determined. |
| Additional Book Comments |
| This is the complete book list for this class. |
| Instructor's comments about the book list: We will be using an online textbook that will be freely available. |