Subject: Biological & Medical Informatics
Course Number: 203
Course Title: Biocomputing Algorithms
School: Graduate Division
Department: Biological And Medical Informatics Program
Course Description: Introduction to computational issues and methods used in the field of bioinformatics and computational biology. This course emphasizes the implementation, analysis, and validation of methods. It is about attacking computational problems in biology, not expert use of existing tools. Areas addressed include analytical thinking, problem decomposition, and algorithm design and implementation. Assignments will focus on the design and implementation of key bioinformatics algorithms.
Prerequisites: Students are expected to have programming competence in a language such as Python, C, C++, or Fortran. Students should also posses a basic knowledge of statistics (undergrad. level). In addition, to take the course, all incoming for-credit students must pass a brief programming background technical assessment, conducted with a TA by Zoom. It is the students responsibility to arrange a meeting for the assessment.
Restrictions: For all iPQB students and Bioengineering students. Others require instructor approval.
Activities: Direct - Lecture, Student - Lecture
Instructor of Record: M. Keiser
May the student choose the instructor for this course? No
Does enrollment in this course require instructor approval? No
Quarter(s) Offered: Winter
Course Grading Convention: Letter Grade
Graduate Division course: Yes
Is this a web-based online course? No
Is this an Interprofessional Education (IPE) course? No
May students in the Graduate Division (i.e. pursuing Master or PhD) enroll in this course? Yes
Repeat course for credit? No