INTRODUCTION TO BIOINFORMATICS

Prerequisites & course information

Requisites: ( COMP SCI 320 or 400 ) and MATH 222 , graduate/professional standing, or declared in the Capstone Certificate in Computer Sciences for Professionals Course Designation: Level - Advanced L&S Credit - L&S Liberal Arts and Science Repeatable for Credit: No Last Taught: Fall 2026 Learning Outcomes: 1. Explain the biology and significance of the most commonly measured molecules in molecular biology. Audience: Undergraduate 2. Identify the primary computational problems associated with each type of biological data. Audience: Undergraduate 3. Explain the major algorithms and approaches used to address the computational problems. Audience: Undergraduate 4. Implement efficient algorithms for bioinformatic tasks through the use of the discussed approaches. Audience: Undergraduate 5. Apply the discussed algorithms to novel but closely-related tasks. Audience: Undergraduate 6. Understand the methods covered such that parts of the methods sections of published biological papers are interpretable. Audience: Undergraduate 7. Begin to gain the qualifications of a bioinformatician. Audience: Undergraduate Learning Outcomes: 1. Explain the biology and significance of the most commonly measured molecules in molecular biology. Audience: Undergraduate 2. Identify the primary computational problems associated with each type of biological data. Audience: Undergraduate 3. Explain the major algorithms and approaches used to address the computational problems. Audience: Undergraduate 4. Implement efficient algorithms for bioinformatic tasks through the use of the discussed approaches. Audience: Undergraduate 5. Apply the discussed algorithms to novel but closely-related tasks. Audience: Undergraduate 6. Understand the methods covered such that parts of the methods sections of published biological papers are interpretable. Audience: Undergraduate 7. Begin to gain the qualifications of a bioinformatician. Audience: Undergraduate