Foundations of Analytics and Data Visualization
Foundations of Analytics and Data Visualization
Prerequisites: MET LB 103, MET LB 104, and (METCS 520 or METCS 521), or equivalent knowledge, or consent of instructor. The goal of this course is to provide students with the mathematical and practical background required in the field of data analytics. Probability and statistics concepts will be reviewed as well as the R tool for statistical computing and graphics. Different types of data are investigated along with data summarization techniques and plotting methods. Data populations using discrete, continuous, and multivariate distributions are explored. Sampling methods and errors during measurements and computations are analyzed in the course. String manipulations and data wrangling methods are examined in detail. The concepts covered in the course are demonstrated using R. Laboratory Course. Restrictions: This course may not be taken in conjunction with MET CS 550.
2026FALLMETCS544A2, Sep 2nd to Dec 10th 2026
| Days | Start | End | Type | Bldg | Room |
|---|---|---|---|---|---|
| T | 06:00 PM | 08:45 PM | CAS | 233 |
2026FALLMETCS544O1, Sep 1st to Oct 19th 2026
| Days | Start | End | Type | Bldg | Room |
|---|---|---|---|---|---|
| ARR | 12:00 AM | 12:00 AM |
2026FALLMETCS544O2, Oct 27th to Dec 14th 2026
| Days | Start | End | Type | Bldg | Room |
|---|---|---|---|---|---|
| ARR | 12:00 AM | 12:00 AM |
Format & Syllabus: