• Quantitative Biology and Bioinformatics is a computer-based laboratory course that introduces students to the use of computers in biological research. The course is a Python programming boot camp designed for students with no prior programming experience (45%) followed by bioinformatics instruction that continues to build on the Python skills (55%). Classes consist of a mixture of lecture and computer-based exercises, as well as time for students to work on assignments.
  • Semester Offered: Spring
  • Credits: 3
  • Course URL: canvas

Prerequisites 

 Genetics 01:447:380 or Genetic Analysis I 01:447:384

Course Restrictions

This course is limited to Genetics majors. Other students may be added by special permission number pending space availability.

Course Description 

Quantitative Biology and Bioinformatics is a computer-based laboratory course that introduces students to the use of computers in biological research. The course is a Python programming boot camp designed for students with no prior programming experience (45%) followed by bioinformatics instruction that continues to build on the Python skills (55%). Classes consist of a mixture of lecture and computer-based exercises, as well as time for students to work on assignments.  The course provides introductory Data Science skills needed to conduct basic computational research in the life sciences and is of most relevance for students who plan to pursue research careers, attend graduate or medical school, or enter the biomedical/research workforce.

Class will meet for 2.5 hrs. twice per week. No prior programming experience is required- the course is designed specifically for beginners. However, because computer programming concepts can be difficult for some students to master, we strongly recommend you complete an hour or more of an online Python tutorial before the start of class, to get a sense of whether a programming course is a good choice for you. More info is provided on the course Canvas website.

Syllabus

Spring 2024 Syllabus

Course URL

Canvas

Course Satisfies Learning Goals 

1. Knowledge specific goals: Know the terms, concepts and theories in genetics.

2. Integrate the material from multiple courses and research. That is, to think holistically and to see the whole as well as the parts.

Exams, Assignments, and Grading Policy 

Students will be assigned weekly projects based on current material. The final grade is based on the grades received on these projects, quizzes, a mid term coding project, and a final coding project.

Course Materials 

Python programming manuals are available online. 

Course Closed? 

If this course is closed, please use the following link to add your name to the wait list:  Wait List Sign Up  If you have any questions, please contact the Division of Life Sciences - Office of Undergraduate Instruction at 848-445-2075 or visit our office at Nelson Biological Laboratories B112, Busch Campus.

Faculty 

Dr. Tara Matise (Coordinator)
B410 Nelson Biological Laboratories
Email: This email address is being protected from spambots. You need JavaScript enabled to view it.

Dr. Timothy Stanek

Dr. Vikas Nanda

Dr. Wilma Olson


 ** All information is subject to change at the discretion of the course coordinator.