| Course Title: Introduction to Computational Problem Solving: 'Big Data' |
| Start Date: 09/04/2019 End Date: 12/17/2019 |
| Term: Fall Semester 2019 |
| 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 |
| Eitan Mendelowitz | emendelo@mtholyoke.edu |
| Meeting Dates | Method | Meeting days | Meeting times | Building name | Room | Frequency |
| 09/04/2019 - 12/17/2019 | Lecture | Monday and Wednesday | 11:00AM - 12:15PM | KNDD - Kendade | 305 | 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: 31 | Available: 7 | Waitlist: 0 |
BOOK INFORMATION
| Book List | Required | Publisher Full Price |
| To be determined. |
| Additional Book Comments |
| This is NOT the complete book list for this class. |