IE 202: Introduction to Engineering Design II (2: 2, 2) Core Course
Course Description:
Engineering design process. Computer modeling and heuristics for solving problems, in teams, in the areas of comparison of strategies, trade-offs, decision making, stochastic processes, optimization and expert systems. Interpretation of results. Preparation of professional technical reports of engineering work and multimedia presentation.
Prerequisite: IE - 201 Textbook:
1-How To Model It, Problem Solving for the Computer Age Anthony M. Starfield, Karl A.
Smith, and Andrew L. Bleloch McGraw Hill © 1994 2-Class notes and handouts material by the instructor Course Learning Objectives :
I. Apply Engineering Design Process:
1. Identify the most relevant needs (objectives) from an open ended problem.
2. Discover a solution strategy using a suitable heuristic.
3. Breakdown an open ended problem into its main elements (variables, constraints, parameters, etc.)
4. Develop alternative models by using basic mathematical, scientific and engineering knowledge.
5. Choose the best model, from those developed, using specified criteria.
6. Solve the model by a suitable computer software/tool and with an appropriate level of details.
7. Test the model and analyze the results to determine if they are sufficient.
8. Evaluate the solution and argue suitable improvements and changes.
II. Demonstrate Teamwork and Project Management:
9. Demonstrate work harmoniously and effectively in a team to solve open ended problems.
10. Demonstrate effective communication, resolve team conflicts, apply social team norms, prepare team
rules, organize and delegate work as needed, and manage available resources.
11. Demonstrate time management for team meetings and to ensure that all tasks are completed and
submitted on time.
III. Display Communication Skills:
12. Write high quality design reports and prepare professionally the required graphs and tables.
13. Plan, prepare and deliver clear and correct oral presentations using professional visual aids.
IV. Develop Life Long Learning Attributes:
14. Collect information of a new content by asking key questions and by using a variety of sources such as internet, textbooks, etc.
15. Evaluate personal performance and progress as well as that of teammates using specific criteria.
Class/Lab Schedule: The class meets twice a week, 110 minutes per class. The class is equipped with a complete multimedia and PC for each student to facilitate active cooperative learning.
Course Topics and Duration Duration in weeks
Awareness of the first day materials 1 Developing a mathematical model by spreadsheet 1 Introduction to models (chapter 1) 1.5 Real world versus model world (chapter 2) 1.5 Lumping and Calibration (chapter 4) 1.5 Introduction to Stochastic models (chapter 5) 1.5 Decisions and Expert systems(chapter 10) 1.5
Course Project 2.5
Communication Skills (course celebration) 1
Course Contribution to professional Component:
Engineering Science: 0.5 Credit or 25%
Engineering Design: 1.5 Credits or 75%