Description
A project-based workshop at the intersection of data and biochemistry. Students will develop skills for autonomous learning and proficiency in database selection, computational tool integration, data management, introductory programming, statistical analysis, data visualization, and effective communication of biochemically-relevant information.
Prerequisites
- Prerequisite(s): BIOC 3101 and BIOC 3102 , or permission of the Institute.
Conditions and arrangements
- Prerequisite(s): BIOC 3101 and BIOC 3102 , or permission of the Institute.
- Also offered at the undergraduate level, with different requirements, as BIOC 4010 , for which additional credit is precluded.
- Workshop three hours a week.
Reference text in its original language
A project-based workshop at the intersection of data and biochemistry. Students will develop skills for autonomous learning and proficiency in database selection, computational tool integration, data management, introductory programming, statistical analysis, data visualization, and effective communication of biochemically-relevant information.
- Prerequisite(s): BIOC 3101 and BIOC 3102 , or permission of the Institute.
- Also offered at the undergraduate level, with different requirements, as BIOC 4010 , for which additional credit is precluded.
- Workshop three hours a week.
Sources and references
Dates and sources are retained to help you verify the information. Translations are provided to facilitate reading; the official source governs conditions and requirements.
Source reference : https://calendar.carleton.ca/grad/courses/BIOC/