Student Effort Hours:
| Specified Learning Activities |
40 |
| Autonomous Student Learning |
50 |
| Lectures |
12 |
| Total |
102 |
|---|
Approaches to Teaching and Learning:
BIOC40030 uses a blended and student-centred approach to support advanced learning in cellular and molecular signalling. Core principles and signalling mechanisms are introduced through lectures, which are reinforced through active learning activities, including case-based and problem-based learning, focused on the analysis of the existing literature and signalling pathways.
Peer learning activities are used to promote collaborative learning, critical evaluation, and scientific communication. Enquiry-based learning supports the development of higher-order thinking skills through engagement with primary research literature and current advances in signalling biology. Directed independent study further encourages students to synthesise complex information and apply concepts to novel biological contexts.
Use of Artificial Intelligence (AI):
In line with the UCD Academic Integrity Policy, you may use AI for planning, idea development, and research. Your engagement with AI stops when you begin to create your submission. Your submissions should therefore be authored entirely by yourself and should show how you have developed and refined these ideas. You should keep a comprehensive record of all outputs generated by AI, and may be required to document these as part of the activities, or present them on demand. An appropriate AI tool may be used to correct grammatical errors and improve the language of text you alone have authored. You must not allow the AI tool to alter the sense of any text, offer a critique of or modify any arguments.