CIS 263
Fall 2023
| Section:
01
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| Crosslisting:
BIOL 263 |
How do scientists make sense of the data they collect, especially as datasets grow in size and complexity? In this course, students will learn fundamental concepts in data collection, statistics, and modeling through hands-on analysis of publicly available datasets from the COVID-19 pandemic. We will cover the effects of biases in data collection, models of epidemic growth and spread, and the principles of studying a rapidly evolving pathogen. While we will use motivating examples from the life sciences, students can expect to learn techniques and ways of thinking that will form a foundation for evaluating and analyzing data across scientific disciplines. Students will learn the basics of using the R programming language to visualize, analyze, and model data, so no previous programming experience is expected. |
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| Credit: 1 |
Gen Ed Area Dept:
NSM BIOL |
| Course Format: Lecture / Discussion | Grading Mode: Graded |
| Level: UGRD |
Prerequisites: MB&B181 OR BIOL182 |
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Fulfills a Requirement for: (BIOL)(INFO-MN) |
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Past Enrollment Probability: 90% or above |
| SECTION 01 |
| Instructor(s): Arevalo,Phil Times: ..T.R.. 01:20PM-02:40PM; Location: SCIE638; |
| Total Enrollment Limit: 15 | | SR major: 2 | JR major: 3 | | |
| Seats Available: 2 | GRAD: X | SR non-major: 0 | JR non-major: 0 | SO: 10 | FR: X |
| Drop/Add Enrollment Requests | | | | | |
| Total Submitted Requests: 0 | 1st Ranked: 0 | 2nd Ranked: 0 | 3rd Ranked: 0 | 4th Ranked: 0 | Unranked: 0 |
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