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
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 add your name to request an spn for the course under the Department of Genetics section of the SPN Request Page. Please note the system does not notify students unless they can be accommodated in the course. SPNs are distributed throughout the remainder of the semester and through the drop/add period. We ask that if you are provided an spn for a course and choose not to use it, to please notify our offices at
Faculty
Dr. Tara Matise (Coordinator)
B410 Nelson Biological Laboratories
Email:
Dr. Timothy Stanek
Dr. Vikas Nanda
Dr. Wilma Olson
** All information is subject to change at the discretion of the course coordinator.