Information Package
baskent.edu.tr

Program of Architecture (English 30%)

MİM417

PARAMETRIC DESING I

Course Code
MİM417
Semester
-
Theory+Practice
2 + 2
ECTS
4
Course TypeElective Course
Course LevelBachelor's Degree
Year of Study-
Semester-
ECTS4
Name of Lecturer(s)
Learning Outcomes

At the end of this course, the students;

  1. use parametric design in the field of architectural design.
  2. understand and develop computational thinking.
  3. use Grasshopper and transfers computational thinking to digital environment by using these tools.
  4. use of NURB in the field of architectural design.
  5. use Rhinoceros in the field of architectural design and can model using these tools
Mode of DeliveryFace to face
PrerequisitesNo
Recommended Optional Programme Components-
Course DescriptionIt aims to provide students with information on the use of parametric design in architecture, to acquire knowledge about computational thinking and transfer it to digital platforms, and to learn modeling techniques with NURB.
Course Contents
WEEK TOPICS
1st Week Introduction to the course, purpose and scope of the course and explanation of expectations
2nd Week Distribution of presentations of sample projects / Term Project Introduction / Introduction to computational thinking
3rd Week Presentation of sample projects / Rhinoceros introduction (modeling with NURBS,
4th Week Rhinoceros workshop (beginner) / classroom work
5th Week Computational thinking workshop/ Classwork
6th Week Rhinoceros workshop (intermediate) / classroom work
7th Week Computational thinking workshop/ Classwork
8th Week Exam/ Classwork/exam assessment
9th Week Introduction to visual coding environments, patterns in parametric design
10th Week Rhinoceros workshop (advanced) / classroom work
11th Week Rhinoceros workshop (advanced) / classroom work
12th Week Grasshopper workshop (beginner)
13th Week Grasshopper workshop (beginner)
14th Week Preparation for the final exam
15th Week Preparation for the final exam
Recommended or Required Reading-Flatland: A Romance of Many Dimensions Author: Edwin Abbott Abbott
ISBN
0486200019, 9780486200019

- Guidera, S. (2009, June), Computer Aided Physical Models: Introducing Nurbs And Fabrication In Conceptual Architectural Design Projects Paper presented at 2009 Annual Conference & Exposition, Austin, Texas. 10.18260/1-2?5059

- Architecture in the Digital Age: Design and Manufacturing Editor: Branko Kolarevic Publisher: Taylor &Francis, 2004 ISBN 1134470444, 9781134470440.

-Les A. Piegl (2006) Knowledge-guided NURBS: Principles and Architecture, Computer-Aided Design and Applications, 3:6, 719-729, DOI: 10.1080/16864360.2006.10738425

-R. W. Kennard & L. A. Stone (1969) Computer Aided Design of Experiments, Technometrics, 11:1, 137-148, DOI: 10.1080/00401706.1969.10490666

-Shivegowda, M.D., Boonyasopon, P., Rangappa, S.M. et al. A Review on Computer-Aided Design and Manufacturing Processes in Design and Architecture. Arch Computat Methods Eng (2022). https://doi.org/10.1007/s11831-022-09723-w

-Aouad, G., Wu, S., Lee, A., & Onyenobi, T. (2011). Computer Aided Design Guide for Architecture, Engineering and Construction (1st ed.). Routledge. https://doi.org/10.4324/9780203878750

-Jeannette M. Wing. 2006. Computational thinking. Commun. ACM 49, 3 (March 2006), 33?35. https://doi.org/10.1145/1118178.1118215

-Jeannette M. Wing. 2008. Computational thinking and thinking about computing Phil. Trans. R. Soc. A.3663717?3725. http://doi.org/10.1098/rsta.2008.0118

- Demetri Terzopoulos and Hong Qin. 1994. Dynamic NURBS with geometric constraints for interactive sculpting. ACM Trans. Graph. 13, 2 (April 1994), 103?136. https://doi.org/10.1145/176579.176580

- Thomas W. Sederberg, G. Thomas Finnigan, Xin Li, Hongwei Lin, and Heather Ipson. 2008. Watertight trimmed NURBS. ACM Trans. Graph. 27, 3 (August 2008), 1?8. https://doi.org/10.1145/1360612.1360678

- Futschek, G. (2006). Algorithmic Thinking: The Key for Understanding Computer Science. In: Mittermeir, R.T. (eds) Informatics Education ? The Bridge between Using and Understanding Computers. ISSEP 2006. Lecture Notes in Computer Science, vol 4226. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11915355_15
-
Planned Learning Activities and Teaching Methods
  • Lecture
  • Case Study
  • Project
  • Presentation
  • Other
Assessment Methods and Criteria
Quantity Percentage (%)
Mid-term 1 30
Presentation of Case Study 1 10
Total(%) 40
Contribution of In-term Studies to Overall Grade(%) 40
Contribution of Final Examination to Overall Grade(%) 60
Total(%) 100
ECTS Allocated Based on Student Workload
Activities Quantity Duration (Hour) Total Workload (Hour)
Midterm exam 1 2 2
Preparation for Quiz
Individual or group work
Preparation for Final exam
Course hours 15 4 60
Preparation for Midterm exam 1 10 10
Laboratory (including preparation)
Final exam 1 30 30
Homework
Workshop 7 2 14
Final Jury (including preparation)
Research
Total Work Load116
Total Work Load / 30 (h)3.86
ECTS Credit of the Course4
Language of InstructionEnglish
Work Placement(s)No

Programme Qualifications / Learning Outcomes

LO1 LO2 LO3 LO4 LO5
K1 X X
K2 X
K3 X X X
K4 X X X X X
K5 X X X X X
K6
K7
K8
K9
K10
K11
K12
K13
K14
K15
K16
K17
K18 X X X
K19
K20
K21
K22
K23
K24
K25