Course Summary Course Objectives Learning Outcomes Course Materials Teaching Methods Weekly Topics Course Schedule Office Hours Assestment ECTS Calculation Course Policies Learning Tips Print Syllabi Download as PNG

ARCH551 Digital Design Studio

Syllabus   |  International University of Sarajevo  -  Last Update on Oct 10, 2025

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Architecture

Fall 2024 - 2025 | 4 ECTS Credits | International University of Sarajevo

Academic Year
2024 - 2025
Semester
Fall
Course Code
ARCH551
Weekly Hours
3 Teaching + 0 Practice
ECTS
4
Prerequisites
None
Teaching Mode Delivery
Face-to-face
Prerequisite For
-
Teaching Mode Delivery Notes
-
Cycle
II Cycle
Prof. Jane Doe

Nerma Omićević

Course Lecturer

Position
Assistant Professor Dr.
Email
nomicevic@ius.edu.ba
Phone
033 957
Assistant(s)
N/A
Assistant E-mail
-

Course Objectives

It builds on the knowledge of image design and foundational digital media design techniques introduced in the Digital Design Studio, integrating and applying this knowledge in the context of interactive multimedia and interaction design understanding. The unit develops interaction narrative, engagement, curiosity and design methods using the computer interface.

Learning Outcomes

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

1
Gain an understanding of the impact of digital design and digital fabrication on a building scale as well as on a scale that begins to address more extensive urban ecologies;
2
Incorporate the generation of spatial, material, and formal effects; organizational logics; and programmatic innovation;
3
Differentiate between asynchronous and synchronous of computer mediated communication;
4
Use various communications software in a design environment;
5
Participate in the process in a superior organizational structure through basic knowledge of all stages; and
6
Develop proposals, from initial modeling of the idea to the final realization through production tools.

Course Materials

Required Textbook

Essential Mathematics for Computational Design 2nd From http://download.rhino3d.com/en/Rhino/4.0/EssentialMathematicsSecondEdition/; Getting Started with Processing by Casey Reas and Ben Fry, June 2010, O'Reilly Media; Processing: A Programming Handbook for Visual Designers and Artists by Casey Reas and Ben Fry August 2007, MIT Press.

Additional Literature
The Grasshopper Primer - Second Edition http://www.liftarchitects.com/journal/2009/3/25/the-grasshopper-primer-second-edition.htm

Teaching Methods

Weekly studio-based lectures (2 hours per week)
The students will work with the teacher on the assigned design task
The teacher will take a part as a project manager, learner-centred and interactive/participative methods will be emphasized throughout the studio
Students will develop creative thinking and cognitive strategies to redefine a design problem, formulate strategies for action, gather information and apply strategies, as well as develop an architectural vocabulary and comprehension of underlying ideas sufficient for intelligent dialogue

Weekly Topics

This weekly planning is subject to change with advance notice.
Week Topic Readings / References
1 Overview of the course content
2 Grasshopper/Processing/Intro to Grasshopper/Intro to Project The Grasshopper Primer, pp 1-18; Getting Started with Processing by Casey Reas and Ben Fry, pp 1-12
3 Human Creativity/Tutorial 01 Processing by Casey Reas and Ben Fry, pp 15-48
4 Nature Creativity/Tutorial 02 http://www.ted.com/talks/michael_hansmeyer_building_unimaginable_shapes.html; https://vimeo.com/34182381; https://vimeo.com/7806193
5 Computer Creativity/Tutorial 03 "http://www.ted.com/talks/benoit_mandelbrot_fractals_the_art_of_roughness.html; http://www.ted.com/talks/stephen_wolfram_computing_a_theory_of_everything.html; http://www.wolframscience.com/nksonline/toc.html "
6 Digital Nature/Tutorial 04 http://www.ted.com/talks/brian_greene_on_string_theory.html; http://www.youtube.com/watch?v=Nv1_YB1IedE&context=C45286a9ADvjVQa1PpcFNduhbh-3c5UnwwarSQj4CSFm7xz3WWZQg=
7 Bounds, Environments, Senses/Developing proposals, from initial modeling of the idea to the final realization through production tools/Tutorial 05 Reading list will be determined.
8 Midterm Presentations
9 Genetic Architecture and Computation/Developing proposals "http://www.youtube.com/watch?v=_5uDWFSeypM; http://vimeo.com/41321768 "
10 Day of critique
11 In-term review
12 Genetic Architectural Design/Developing proposal http://www.youtube.com/watch?v=RlYS_GiAnK8
13 Beauty/Developing proposal Reading list will be determined.
14 Beauty and Applications/Developing proposal Reading list will be determined.
15 Final Submission

Course Schedule (All Sections)

SectionTypeDay 1Venue 1Day 2Venue 2
ARCH551.1 Course Friday 17:00 - 18:50 A F1.3 - Computer Lab - -

Office Hours & Room

Course Office hours will be available here soon.

Assessment Methods and Criteria

Assessment Components

40%x1
Final Exam
AI: Not Allowed

Alignment with Learning Outcomes :  4  5  6

40%x1
Mid-Term presentation
AI: Not Allowed

Alignment with Learning Outcomes :  2  3

20%x1
In-term review
AI: Not Allowed

Alignment with Learning Outcomes :  1

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

IUS Grading System

Letter marks that do not affect student's CGPA:
  • "IP" – In progress is assigned for recording unfulfilled student obligations related to graduation project/thesis/dissertation and internship.
  • "S" – Satisfactory is assigned to a student who passed the examinations that are not numerically graded or whose written assignment has been accepted.
  • "U" – Unsatisfactory is assigned to a student who failed to pass the examinations that are not numerically graded.
  • "W" – Withdrawal signifies that student has withdrawn from the relevant course.
Additional letter mark that affects student's CGPA:

"N/A" – Not attending, and it is assigned to a student who is suspended from the course or who does not meet the minimal requirement for attendance on lectures or tutorials. The course lecturer must follow the attendance policy and assign "N/A" in each case of a student failing attendance.

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:

Tutorial hours

5 hours ⏳ (5 week × 1 h)

Assignments

11 hours ⏳ (11 week × 1 h)

Home study

66 hours ⏳ (11 week × 6 h)

In-term exam study

8 hours ⏳ (2 week × 4 h)

Final exam study

8 hours ⏳ (2 week × 4 h)

Term project/presentation

2 hours ⏳ (1 week × 2 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 [ARCH551] 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

Article 112: Evaluation of Work of the Academic Staff

  1. 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.
  2. Evaluation of work of each academic staff member is to be carried out in accordance with the Statute of the institution of higher education by the institution as well as by students.
  3. The institutions of higher education are obliged to carry out a students’ evaluation survey on the academic staff performance after the end of each semester, or after the completed teaching cycle for the subject taught.
  4. Evaluation must evaluate: lecture quality, student-academic staff interaction, correctness of communication, teacher’s attitudes towards students attending the teaching activities and at assessments, availability of suggested reading material, attendance and punctuality of the teacher, along with other criteria which are defined in the Statute.
  5. The institution of higher education by a specific act determines the procedure for evaluation of the academic staff performance, the content of survey forms, the manner of conducting the evaluation, grading criteria for the evaluation, as well as adequate measures for the academic staff who received negative evaluation for two consecutive years.
  6. The evaluation of the academic staff performance is an integral process of establishment the quality assurance system, or self-control and internal quality assurance.
  7. Results of the evaluation of the academic staff performance are to be adequately analyzed by the institution of higher education, and the decision of the head of the organizational unit about the employee’s work performance is an integral part of the personal file of each member of academic staff.

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.

Course Academic Quality Assurance: Semester Student Survey

Syllabus Last Updated on Oct 10, 2025 | International University of Sarajevo

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Referencing Curricula Print this page

Course Code Course Title Weekly Hours* ECTS Weekly Class Schedule
T P
ARCH551 Digital Design Studio 3 0 4
Prerequisite None It is a prerequisite to -
Lecturer Nerma Omićević Office Hours / Room / Phone
Wednesday:
9:30-12:00
Thursday:
9:30-12:00
A F3.18 - 033 957 213
E-mail nomicevic@ius.edu.ba
Assistant N/A Assistant E-mail
Course Objectives It builds on the knowledge of image design and foundational digital media design techniques introduced in the Digital Design Studio, integrating and applying this knowledge in the context of interactive multimedia and interaction design understanding. The unit develops interaction narrative, engagement, curiosity and design methods using the computer interface.
Textbook Essential Mathematics for Computational Design 2nd From http://download.rhino3d.com/en/Rhino/4.0/EssentialMathematicsSecondEdition/; Getting Started with Processing by Casey Reas and Ben Fry, June 2010, O'Reilly Media; Processing: A Programming Handbook for Visual Designers and Artists by Casey Reas and Ben Fry August 2007, MIT Press.
Additional Literature
  • The Grasshopper Primer - Second Edition http://www.liftarchitects.com/journal/2009/3/25/the-grasshopper-primer-second-edition.htm
Learning Outcomes After successful  completion of the course, the student will be able to:
  1. Gain an understanding of the impact of digital design and digital fabrication on a building scale as well as on a scale that begins to address more extensive urban ecologies;
  2. Incorporate the generation of spatial, material, and formal effects; organizational logics; and programmatic innovation;
  3. Differentiate between asynchronous and synchronous of computer mediated communication;
  4. Use various communications software in a design environment;
  5. Participate in the process in a superior organizational structure through basic knowledge of all stages; and
  6. Develop proposals, from initial modeling of the idea to the final realization through production tools.
Teaching Methods Weekly studio-based lectures (2 hours per week). The students will work with the teacher on the assigned design task. The teacher will take a part as a project manager, learner-centred and interactive/participative methods will be emphasized throughout the studio. Students will develop creative thinking and cognitive strategies to redefine a design problem, formulate strategies for action, gather information and apply strategies, as well as develop an architectural vocabulary and comprehension of underlying ideas sufficient for intelligent dialogue.
Teaching Method Delivery Face-to-face Teaching Method Delivery Notes
WEEK TOPIC REFERENCE
Week 1 Overview of the course content
Week 2 Grasshopper/Processing/Intro to Grasshopper/Intro to Project The Grasshopper Primer, pp 1-18; Getting Started with Processing by Casey Reas and Ben Fry, pp 1-12
Week 3 Human Creativity/Tutorial 01 Processing by Casey Reas and Ben Fry, pp 15-48
Week 4 Nature Creativity/Tutorial 02 http://www.ted.com/talks/michael_hansmeyer_building_unimaginable_shapes.html; https://vimeo.com/34182381; https://vimeo.com/7806193
Week 5 Computer Creativity/Tutorial 03 "http://www.ted.com/talks/benoit_mandelbrot_fractals_the_art_of_roughness.html; http://www.ted.com/talks/stephen_wolfram_computing_a_theory_of_everything.html; http://www.wolframscience.com/nksonline/toc.html "
Week 6 Digital Nature/Tutorial 04 http://www.ted.com/talks/brian_greene_on_string_theory.html; http://www.youtube.com/watch?v=Nv1_YB1IedE&context=C45286a9ADvjVQa1PpcFNduhbh-3c5UnwwarSQj4CSFm7xz3WWZQg=
Week 7 Bounds, Environments, Senses/Developing proposals, from initial modeling of the idea to the final realization through production tools/Tutorial 05 Reading list will be determined.
Week 8 Midterm Presentations
Week 9 Genetic Architecture and Computation/Developing proposals "http://www.youtube.com/watch?v=_5uDWFSeypM; http://vimeo.com/41321768 "
Week 10 Day of critique
Week 11 In-term review
Week 12 Genetic Architectural Design/Developing proposal http://www.youtube.com/watch?v=RlYS_GiAnK8
Week 13 Beauty/Developing proposal Reading list will be determined.
Week 14 Beauty and Applications/Developing proposal Reading list will be determined.
Week 15 Final Submission
Assessment Methods and Criteria Evaluation Tool Quantity Weight Alignment with LOs AI Usage
Final Exam 1 40 4,5,6 Not Allowed
Semester Evaluation Components
Mid-Term presentation 1 40 2,3 Not Allowed
In-term review 1 20 1 Not Allowed
***     ECTS Credit Calculation     ***
 Activity Hours Weeks Student Workload Hours Activity Hours Weeks Student Workload Hours
Tutorial hours 1 5 5 Assignments 1 11 11
Home study 6 11 66 In-term exam study 4 2 8
Final exam study 4 2 8 Term project/presentation 2 1 2
        Total Workload Hours = 100
*T= Teaching, P= Practice ECTS Credit = 4
Course Academic Quality Assurance: Semester Student Survey Last Update Date: 20/10/2025

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