BIOLOGY 202 - Biological Data Analysis and Programming
Winter 2022, Section 001
Instruction Mode: Section 001 is  In Person (see other Sections below)
Subject: Biology (BIOLOGY)
Department: LSA Biology
See additional student enrollment and course instructor information to guide you in your decision making.

Details

Credits:
4
Requirements & Distribution:
BS
Consent:
With permission of instructor.
Enforced Prerequisites:
BIOLOGY 171, 172, 173, 191, or 195.
BS:
This course counts toward the 60 credits of math/science required for a Bachelor of Science degree.
Repeatability:
May not be repeated for credit.
Primary Instructor:

Description

As the biological sciences --including epidemiology, ecology, molecular genomics, evolutionary biology-- continue to experience a data revolution, the importance of applying models and statistics to data remains important regardless of future career paths. This course is designed to put the essential concepts and tools of quantitative reasoning into the hands of biologists while also teaching programming and data analysis. The course will be taught in lab format, with exercises to develop skills and opportunities for personalized guidance from the instructors. Instead of examinations, students will manage their own progress through exercises and assignments and perfect their ability to solve problems and communicate solutions through challenging problems in biology. The course will cover the elements of programming, statistics, data visualization, probability, and scientific computing and will be appropriate for BIO, EEB, MCDB, and PitE concentrators as well as those intending to pursue careers in medicine, allied health professions, bioengineering, and secondary education.

This course satisfies the Quantitative Analysis II requirement for a number of Program in Biology majors. Please refer to your major program requirements or meet with a Program in Biology advisor to determine how the course will work for you.

Course Requirements:

The course assignments will be administered through GradeCraft. This will allow students to manage the mastery of concepts at their own pace. Assignments will cover skills in programming, analysis, and statistics/probability. Students will have the oppurtunity to work alone and in groups as well as develop skills in presenting the results of this work.

Class Format:

2 x 1 hr/wk lectures and demonstrations with some in-class work on exercises and discussion. 2 x 1.5 hr/wk lab and discussion section meetings with intensive in-class work on challenge problems and discussion.

 

Schedule

BIOLOGY 202 - Biological Data Analysis and Programming
Schedule Listing
001 (LEC)
 In Person
35527
Closed
0
 
-
TuTh 11:30AM - 1:00PM
002 (LAB)
 In Person
35529
Closed
0
 
-
Tu 2:30PM - 4:00PM
003 (LAB)
 In Person
35608
Closed
0
 
-
Th 2:30PM - 4:00PM

Textbooks/Other Materials

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Syllabi

Syllabi are available to current LSA students. IMPORTANT: These syllabi are provided to give students a general idea about the courses, as offered by LSA departments and programs in prior academic terms. The syllabi do not necessarily reflect the assignments, sequence of course materials, and/or course expectations that the faculty and departments/programs have for these same courses in the current and/or future terms.

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CourseProfile (Atlas)

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CourseProfile (Atlas)