- Teacher: Mr Kumud Das
Name of the Course: ECE1106: Design Thinking and Fabrication Technics
- Course Instructor:
Name: Dr. Atul R Kolhe
Phone: 9970456457
Email: atul.kolhe@dypiu.ac.in
Office hours: 9:30 AM to 5:00 PM
Location: ED Cell 2nd Floor Near Central Lift)
Level : Civil Engineering & Any Under Graduate Level student
- Credit: 2-0-1-3.0
- Evaluation:
- Breakup of evaluation: % wise
- Theory:
i. Mid-Semester Exam: 30%
ii. Assignments/Case Studies: 20%
iii. End-Semester Exam: 50%
- Tutorials:
i. Class Participation and Problem Solving: 40%
ii. Case Study Presentation: 60%
- Practical:
i. Continuous Evaluation: 50%
ii. Final Viva and Project Submission: 50%
Maximum Number of Students: 60
- Course Description
This course emphasizes the principles and process of Design Thinking as a structured approach to solving real-world engineering challenges. Tailored for first-year Civil Engineering students, it introduces a human-centered, collaborative, and iterative methodology to foster creativity and innovation in problem-solving.
Students will learn to empathize with users, define problems, ideate potential solutions, and create prototypes while refining their designs through feedback and testing. The course also incorporates basic fabrication techniques, such as model-making and 3D printing, enabling students to bring their ideas to life.
By focusing on the mindset and process of Design Thinking, this course equips students with the skills to address complex engineering problems with innovative, sustainable, and user-focused solutions.
Through practical sessions, students will learn fundamental fabrication techniques, including model-making, 3D printing, and material manipulation, to translate design concepts into tangible outputs. By fostering creativity and technical skills, this course prepares students to approach engineering problems with a multidisciplinary perspective and a focus on sustainable and efficient design solutions.
Course Objectives:
- To introduce design thinking principles for solving real-world civil engineering challenges.
- To provide knowledge of fabrication techniques, including advanced digital tools and 3D printing technologies.
- To develop the ability to create sustainable, functional, and innovative civil engineering solutions.
Prerequisites:
Basic Engineering Graphics, Advanced Drawing Techniques, and familiarity with CAD tools.
Course Syllabus:
Lesson Plan:
|
Sr. No |
Content (Daily Plan) |
Date (Proposed) |
|
1 |
Unit 1: Introduction to Design Thinking and its Overview |
13/01/25 |
|
2 |
Empathize, Define, Ideate, Prototype, and Test phases. |
15/01/25 |
|
3 |
Importance of human-centered design in civil engineering. |
17/01/25 |
|
4 |
Problem-Solving in Civil Engineering: Case studies in infrastructure, urban planning, and materials innovation. |
20/01/25 |
|
5 |
Techniques for brainstorming and idea generation. |
22/01/25 |
|
6 |
Visualization
Tools: |
24/01/25 |
|
7 |
Unit 2: Digital Tools for Civil Engineering Design |
27/01/25 |
|
8 |
Advanced Drafting Tools: Application of AutoCAD, Revit, and SketchUp for 2D and 3D modeling. |
29/01/25 |
|
9 |
Layer management, blocks, templates, and standards in civil engineering drawings. |
31/01/25 |
|
10 |
Introduction to BIM and its advantages in collaborative design. |
03/02/25 |
|
11 |
Parametric Design Fundamentals:Basics of Rhino and Grasshopper for parametric modeling. |
05/02/25 |
|
12 |
Cross-Disciplinary Integration: Combining architectural, structural, and service designs into a cohesive framework. |
07/02/25 |
|
13 |
Unit
3: Overview of Fabrication Methods: |
10/02/25 |
|
14 |
Introduction
to 3D Printing: |
12/02/25 |
|
15 |
Materials for construction: concrete, polymers, and composites. |
14/02/25 |
|
16 |
File
Preparation for Fabrication: |
17/02/25 |
|
17 |
Applications
in Construction: |
21/02/25 |
|
18 |
o Full-scale applications: walls, beams, bridges, and modular housing. |
24/02/25 |
|
19 |
Unit
4: Structural Optimization Techniques: |
28/02/25 |
|
20 |
Sustainability
in Fabrication: |
3/3/25 |
|
21 |
o Impact of 3D printing on reducing waste and energy consumption. |
05/03/25 |
|
22 |
Sustainable
Case Studies: |
07/03/25 |
|
23 |
Future
Trends: |
17/03/25 |
|
24 |
o Digital twins and their application in construction. |
19/03/25 |
|
25 |
Unit
5: Prototyping Techniques: |
21/03/25 |
|
26 |
o Iterative prototyping using 3D printing |
24/03/25 |
|
27 |
Modular components using 3D printing |
21/03/25 |
|
28 |
2.
Testing and Feedback: |
24/03/25 |
|
29 |
o Role of simulations and physical testing. |
26/03/25 |
|
30 |
3.
Iterative Design: |
28/03/25 |
Laboratory
|
Sr. No |
Content |
Date |
|
1. |
Draw a Detailed Plan Elevation Plan and Section of Residential Building using AutoCaD with Layer Management |
22/01/25 |
|
2 |
Work on hypothetical design challenges using design thinking principles |
05/02/25 |
|
3 |
Design an innovative plan and elevation for any special structure |
19/02/25 |
|
4 |
Analyze real-world projects like 3D-printed houses, modular bridges, or innovative urban infrastructure |
05/03/25 |
|
5 |
Explore advanced functions of AutoCAD, Revit, Rhino, and Grasshopper under instructor supervision. |
19/03/25 |
|
6 |
Present initial drafts of designs or fabricated small building component models |
26/03/25 |
- Course Outcome:
Upon successful completion, students will be able to:
- Apply design thinking methodologies to civil engineering problems.
- Use advanced digital tools for modeling and detailing.
- Understand and implement fabrication techniques, including 3D printing and parametric design, for prototypes and structures.
- Emphasize sustainability and efficiency in design and fabrication practices.
- Text Book:
- Design Thinking for Engineers and Architects – S.M. Jain
- AutoCAD 2024: A Problem-Solving Approach – Sham Tickoo
- 3D Concrete Printing Technology: Construction and Building Applications – Jay G. Sanjayan, Ali Nazari, and Behzad Nematollahi
- Reference Book:
- Solving Problems with Design Thinking: Ten Stories of What Works – Jeanne Liedtka, Andrew King, Kevin Bennett
- Mastering Autodesk Revit 2024 – Daniel John Stine
- Additive Manufacturing Technologies: Rapid Prototyping to Direct Digital Manufacturing – Ian Gibson, David Rosen, Brent Stucker
- Teacher: Dr. Atul Kolhe
Prerequisite:
Matrices and Determinants, Differential & Integral calculus, Differential equations of first order & first degree, Vector Algebra
Course Objectives:
1) To develop mathematical and computational skills
2) To enhance analytical and logical thinking power of students and deploy these skills effectively in their disciplines.
3) To enable the students with skills in differential equations and numerical techniques
Course Outcome:
On Completion of course learner will be able to:
1. Solve higher order Linear differential equations
2. Apply LDE to solve Civil Engineering Problems
3. Apply the numerical techniques to solve system of linear equations
4. Use the numerical methods to solve ordinary differential equations
5. Perform Vector differentiation and analyse the vector fields
Course Content:
Unit 1: Higher order Linear Differential Equations (7 Hrs.)
· LDE of nth order with constant coefficients,
· Complementary Function,
· Particular Integral
· General Solution of LDE by General Method
· General Solution of LDE by Short-Cut Methods
· General Solution of LDE by Variation Parameter Method
Unit 2: Applications of Linear Differential Equations (7 Hrs.)
· Simultaneous Differential Equation
· Symmetric simultaneous Differential Equation
· Applications of LDE Modeling of problems on bending of beams, whirling of shafts and mass-spring systems
· Applications of LDE-Modeling of Electrical circuits
Unit 3: Numerical Solutions of System of Linear Equations (7 Hrs.)
· Gauss-Elimination method.
· Gauss -Jordan method.
· Gauss -Seidel method.
· Jacobi’s iterative method
· LU Decomposition Method
Unit 4: Numerical solutions of ordinary differential equations: (7 Hrs.)
· Picard’s method
· Euler’s method
· Modified Euler’s method
· 4th order Runge- Kutta method
· Predictor-Corrector methods
Unit 5: Vector Differential Calculus (8 Hrs.)
· Vector differentiation,
· Vector differential operator,
· Gradient, Divergence and Curl,
· Directional derivative,
· Solenoidal, Irrotational and Conservative fields,
· Scalar potential, Vector Identities
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