ARCH360 Digital Architecture and Fabrication


ARCH360 Digital Architecture and Fabrication

Syllabus   |  International University of Sarajevo  -  Last Update on Sep 09, 2026

Referencing Curricula

HOSTED BY

Architecture

Academic Year
2026 - 2027
Semester
Fall
Course Code
ARCH360
Weekly Hours
1 Teaching + 1 Practice
ECTS
4
Prerequisites
None
Teaching Mode Delivery
Face-to-face
Prerequisite For
-
Teaching Mode Delivery Notes
-
Cycle
I Cycle
Prof. Jane Doe

Mejrema Zatrić-Šahović

Course Lecturer

Position
Assistant Professor Dr.
Phone
033 957 -
Assistant(s)
-
Assistant E-mail

Course Objectives

The course introduces students to contemporary digital design workflows in architecture, with Revit/BIM as the primary working environment. It positions hand drawing, CAD, BIM, AI-assisted design and digital fabrication as complementary stages of architectural thinking rather than isolated software skills. Students will reconstruct selected built precedents from 2D documentation, transform them through assigned formal and façade operations, and develop a selected component toward fabrication and physical prototyping. Advanced students may extend the work through parametric families, adaptive components or introductory Dynamo-based exploration.

Learning Outcomes

After successful completion of the course, the student will be able to:

1
Demonstrate knowledge of various methods of digital fabrication
2
Demonstrate understanding of principles of digital fabrication and digital workflows
3
Introduce principles of digital workflows
4
Introduce principles of rapid prototyping
5
Demonstrate understanding of 3D modeling concept
6
Develop basic geometry including curves, solids, and surfaces

Course Materials

Required Textbook

Autodesk Revit Help and Autodesk Learn resources (current version); instructor-prepared tutorials, precedent drawings and project briefs.

Additional Literature
Eastman, C., Teicholz, P., Sacks, R., Liston, K., BIM Handbook, 3rd ed., Wiley, 2018. Kolarevic, B., Architecture in the Digital Age: Design and Manufacturing, Taylor & Francis, 2003. Dunn, N., Digital Fabrication in Architecture, Laurence King Publishing, 2012. Schodek, D., Bechthold, M., Griggs, K., Kao, K.M., Steinberg, M., Digital Design and Manufacturing, Wiley, 2005. Selected contemporary case studies and software documentation provided during the semester.

Teaching Methods

Weekly 2-hour face-to-face sessions combine short lectures, guided discussion, software demonstrations, supervised studio work, individual desk critiques and peer review
The course follows a learner-centred and problem-based approach
All students work within a shared A+B+C methodology (precedent plan + formal transformation + façade system), while the complexity of assignments is adjusted to student experience
Advanced students may undertake optional parametric explorations
Regular in-class progress is required; incomplete project work will not be considered for the final presentation

Weekly Topics

This weekly planning is subject to change with advance notice.
Week Topic Readings / References
1 Course introduction: Digital design in architecture today. Discussion comparing hand drawing, CAD/DWG, BIM and AI-assisted workflows. Course methodology, assignments and expectations. Instructor lecture + discussion
2 📍 Reading architecture from drawings. Introduction of Task A: selected built precedent. Importing/scaling PDF or image references; levels, grids and reference planes in Revit. Task A / Autodesk Revit Help
3 Basic BIM modeling: walls, floors, roofs, columns, openings, doors/windows and simple stairs. Development of the precedent model. Task A / guided tutorial
4 Model organization and communication: views, sections, elevations, materials, 3D views and sheets. Completion and review of Task A. Task A review
5 Introduction of Task B: formal transformation. Modeling strategies for non-standard geometry; massing, Model-In-Place, extrusion, blend, sweep and void concepts. Task B / demonstration
6 Complex-form problem solving: reference planes, work planes, constraints, profiles, voids and roof-by-face where appropriate. Integration of B into the existing model. Task B development
7 Introduction of Task C: façade systems. Curtain walls, grids, mullions, modular panels, fins/screens and basic family logic. Preparation for Midterm. Task C / Midterm preparation
8 MIDTERM PRESENTATION — Integrated Digital Model: A + B + C. Review of digital modeling strategy, formal transformation and façade system. Midterm
9 From digital model to physical object. Introduction to digital fabrication, material logic, scale, tolerances, modularity and component selection for the Final Design. Final Design / fabrication brief
10 File preparation and fabrication workflows. Vector vs. mesh vs. solid; DWG/DXF/STL/OBJ; 2D cutting, CNC and 3D printing concepts. Fabrication tutorial
11 AI in contemporary architectural workflows: research, ideation, troubleshooting, visualization and critique. Responsible use, verification and documentation of AI assistance. Final Design development
12 AI in contemporary architectural workflows: research, ideation, troubleshooting, visualization and critique. Responsible use, verification and documentation of AI assistance. Guided AI exercise
13 Advanced / optional exploration: parametric families, adaptive components and introductory Dynamo for advanced students; guided model development for the core track. Advanced / core tracks
14 Final Design workshop: refinement of BIM model, fabrication component, drawings, prototype strategy and final presentation. Individual desk critiques
15 FINAL DESIGN PRESENTATION — Digital Model to Fabricated Component / Prototype. Final presentation

Course Schedule (All Sections)

SectionTypeDay 1Venue 1Day 2Venue 2
ARCH360.1 Course Thursday 13:00 - 14:50 A F1.3 - Computer Lab - -

Office Hours & Room

Course Office hours will be available here soon.

Assessment Methods and Criteria

Assessment Components

30%x1
Final Exam
AI: Consult Instructor

Alignment with Learning Outcomes :  1  2  3  4  5  6

30%x1
Midterm Presentation
AI: Consult Instructor

Alignment with Learning Outcomes :  3  4  5  6

30%x1
Term Presentation
AI: Consult Instructor

Alignment with Learning Outcomes :  3  4  5  6

10%x1
In-Class Activity
AI: Consult Instructor

Alignment with Learning Outcomes :  3  4

IUS Grading System

Grading Scale IUS Grading System IUS Coeff. Letter (B&H) Numerical (B&H)
0 - 44 F 0 F 5
45 - 54 E 1
55 - 64 C 2 E 6
65 - 69 C+ 2.3 D 7
70 -74 B- 2.7
75 - 79 B 3 C 8
80 - 84 B+ 3.3
85 - 94 A- 3.7 B 9
95 - 100 A 4 A 10

Late Work Policy

Information about late submission policies will be shared during class and posted in this section. Please check back for official guidelines.

ECTS Credit Calculation

📚 Student Workload

This 4 ECTS credit course corresponds to 100 hours of total student workload, distributed as follows:

Lecture Hours

8 hours ⏳ (4 week × 2 h)

Assignments

8 hours ⏳ (8 week × 1 h)

Home Study

42 hours ⏳ (14 week × 3 h)

Active Tutorials

6 hours ⏳ (6 week × 1 h)

In-term Exam Study

12 hours ⏳ (2 week × 6 h)

Final Exam Study

12 hours ⏳ (2 week × 6 h)

Term Project/Presentation

12 hours ⏳ (2 week × 6 h)

100 Total Workload Hours

4 ECTS Credits


Course Policies

Academic Integrity

All work submitted must be your own. Plagiarism, cheating, or any form of academic dishonesty will result in disciplinary action according to university policies. When in doubt about citation practices, consult the instructor.

Attendance Policy

Students are expected to adhere to the attendance requirements as outlined in the International University of Sarajevo Study Rules and Regulations. Excessive absences, whether excused or unexcused, may impact academic performance and eligibility for assessment. Mandatory sessions (e.g., labs, workshops) require attendance unless formally exempted. For detailed policies on absences, documentation, and penalties, please refer to the official university regulations.

Technology & AI Policy

Laptops/tablets may be used for note-taking only during lectures. Phones should be silenced and put away during all class sessions. Audio/video recording requires prior permission from the instructor.

Artificial Intelligence (AI) Usage: The use of AI tools (e.g., ChatGPT, Copilot, Gemini) varies by assessment component. Please refer to the AI usage indicator next to each assessment item in the Assessment Methods and Criteria section above. Submitting AI-generated content as your own work, where AI is not explicitly allowed, constitutes an academic integrity violation.

Communication Policy

All course-related communication should occur through official university channels (institutional email or SIS). Emails should include [ARCH360] in the subject line.

Academic Quality Assurance Policy

Course Academic Quality Assurance is achieved through Semester Student Survey. At the end of each academic year, the institution of higher education is obliged to evaluate work of the academic staff, or the success of realization of the curricula.

More info

Learning Tips

Engage Actively

Be prepared to contribute thoughtfully during class discussions, labs, or collaborative work. Active participation deepens understanding and encourages critical thinking.

Read and Review Purposefully

Complete assigned readings or prep materials before class. Take notes, highlight key ideas, and jot down questions. Aim to grasp core concepts and their applications—not just facts.

Think Critically in Assignments

Use course frameworks or methodologies to analyze problems, case studies, or projects. Begin early to allow time for reflection and refinement. Seek feedback to improve your work.

Ask Questions Early

Don’t hesitate to reach out when something is unclear. Use office hours, discussion boards, or peer networks to clarify concepts and stay on track.

Syllabus Last Updated on Sep 09, 2026 | International University of Sarajevo

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