Module Details |
The information contained in this module specification was correct at the time of publication but may be subject to change, either during the session because of unforeseen circumstances, or following review of the module at the end of the session. Queries about the module should be directed to the member of staff with responsibility for the module. |
Title | Computational Design Theory and Practice | ||
Code | ARCH777 | ||
Coordinator |
Dr A Haidar Architecture Adonis.Haidar@liverpool.ac.uk |
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Year | CATS Level | Semester | CATS Value |
Session 2024-25 | Level 7 FHEQ | First Semester | 15 |
Aims |
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To provide students with the theoretical, practical and technological knowledge associated with the architectural design process with focus on the historical evolution of the different computational design methods. To These types of knowledge will provide the student with the vehicle by which they can scrutinise the real impact of computational design and critically investigate its true potential in current and future architectural practice. |
Learning Outcomes |
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(LO1) Students will be able to demonstrate a critical understanding of the theory of the architectural design process, including the complexity of design problems, and the different methods applied in conventional design. |
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(LO2) Students will be able to scrutinise the different computational design methods; their history, current state and future. |
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(LO3) Students will be able to investigate the real impact and the true potential of the different computational design methods, and the barriers and challenges associated with the implementation of those methods in architectural practice. |
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(LO4) Students will be able to demonstrate familiarity with the applications of computational design in real project scenarios within case study research. |
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(S1) Research skills. |
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(S2) Critical thinking and analysis. |
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(S3) Independent learning skills. |
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(S4) Written communication skills. |
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(S5) Graphical communication skills. |
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(S6) Smart Modelling (BIM and Parametric). |
Syllabus |
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Week 01: Introduction to the module and assignment brief |
Teaching and Learning Strategies |
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Teaching Method 1 - Lecture Teaching Method 2 – Seminar/Webinar Teaching Method 3 - Tutorial The majority of teaching will be delivered face to face on campus. Online delivery will be used to complement the on campus delivery and where technology affords a better learning experience. Guest lectures, if required, can be online if the guest lecturer cannot attend in person. Wherever online engagement (TEAMS, ZOOM) is deemed to be beneficial (i.e. extra support sessions, assignment support, etc) they will be utilised. |
Teaching Schedule |
Lectures | Seminars | Tutorials | Lab Practicals | Fieldwork Placement | Other | TOTAL | |
Study Hours |
16 |
4 |
4 |
24 | |||
Timetable (if known) | |||||||
Private Study | 126 | ||||||
TOTAL HOURS | 150 |
Assessment |
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EXAM | Duration | Timing (Semester) |
% of final mark |
Resit/resubmission opportunity |
Penalty for late submission |
Notes |
CONTINUOUS | Duration | Timing (Semester) |
% of final mark |
Resit/resubmission opportunity |
Penalty for late submission |
Notes |
Case study essay on Computational Design in real projects. There is a resit opportunity. Standard UoL penalty applies for a late submission. This is not an anonymous assessment | 0 | 100 |
Recommended Texts |
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Reading lists are managed at readinglists.liverpool.ac.uk. Click here to access the reading lists for this module. |