ENGR100: Introduction to Engineering Concepts, Design Process, and Case Analysis

Fundamental Definitions of Engineering and Engineers

• Definition of Engineering: The application of knowledge, analysis, and creativity to develop solutions within requirements and constraints.

• Definition of Engineers: Creative individuals who utilize mathematics, scientific principles, material properties, and computer methods to design new products, optimize existing solutions, and solve human problems.

• Core Activities and Responsibilities of Engineers:

  • Identifying needs and stakeholders.

  • Defining engineering problems accurately using empirical data.

  • Establishing technical requirements and system constraints.

  • Collecting and analyzing quantitative and qualitative data.

  • Creating conceptual models and prototypes.

  • Designing and building physical, chemical, or software systems.

  • Testing and evaluating system performance under operating conditions.

  • Managing operational risks and design tradeoffs.

  • Communicating technical findings to engineering and non-engineering audiences.

  • Working collaboratively with domain specialists and impacted communities.

  • Protecting public health, safety, and general welfare.

The Engineering Design Process

• Sequential Iterative Stages:

  1. Define the Problem: Formulate the core challenge based on objective criteria, baseline data, and stakeholder requirements.

  2. Generate Alternative Concepts: Brainstorm and propose multiple candidate solutions or design approaches.

  3. Evaluate and Select a Concept: Analyze candidates against design constraints and select the most viable concept.

  4. Detail the Design: Perform detailed engineering calculations, material selection, modeling, and system drafting.

  5. Design Defense: Present and defend the detailed design to peers, technical experts, or management. If deficiencies are uncovered, the workflow loops back to step 4 (Detail the Design) for refinement.

  6. Manufacture and Testing: Produce full prototypes or final physical systems and execute testing protocols.

  7. Evaluation of Performance: Measure real-world test results against original design specifications and performance metrics.

  8. Preparing the Final Design Report: Document all methodologies, test outcomes, trade-offs, and final specifications in a comprehensive technical report.

Evidence-Based Problem Definition

• Assumptions vs. Evidence in Engineering:

  • Standard engineering practice requires moving from assumption-based claims to evidence-based problem definitions.

  • Assumption-Based Definition: Relies on subjective or vague terms such as better, faster, or easier. Example: "The robot needs a better sensor."

  • Evidence-Based Definition: Utilizes quantitative data, stakeholder input, and precise environmental or performance conditions. Example: "In $8$ of $20$ trials, the robot detected the obstacle too late to stop within the required $20\,\text{cm}$."

• Essential Information Categories for Problem Definition:

  • Stakeholder Evidence: Direct information detailing who experiences the problem and their operational needs.

  • Observations: Empirical records detailing what occurs, where it occurs, and under what specific operating conditions.

  • Measurements: Quantitative data tracking metrics such as frequency, volume, duration, magnitude, or distance ($\text{how often, how much, how long, how far}$).

  • Background Research: Synthesized domain knowledge, existing solution limits, and scientific standards.

  • Constraints: Explicit boundary conditions (e.g., budget, timeline, physical footprint, material limits) that constrain permissible solutions.

  • Baseline Data: Quantitative performance measurements of the system in its current state prior to modification.

Disciplinary Lenses in Multidisciplinary Engineering

• Disciplinary Lens Framework:

  • Complex engineering challenges require analysis through distinct disciplinary lenses (assigned as lenses A through E):

  • Civil / Environmental Engineering (Lens A): Focuses on structural stability, environmental contamination, soil mechanics, hydrology, and public utility infrastructure.

  • Mechanical and Manufacturing Engineering (Lens B): Focuses on fluid mechanics, material stress, thermal properties, physical manufacturing, dynamic loads, and piping resilience.

  • Industrial / Systems Engineering (Lens C): Focuses on operational efficiency, throughput optimization, queuing, human factors, ergonomic safety, supply chains, and overall system integration.

  • Electrical / Computer Engineering (Lens D): Focuses on sensor telemetry, signal processing, power delivery, embedded controls, and automated monitoring systems.

  • Chemical Engineering (Lens E): Focuses on chemical reactivity, fluid corrosion, wastewater treatment kinetics, mass balances, pH management, and toxicity mitigation.

• Disciplinary Synthesis Requirements:

  • Every engineering discipline must identify: what system components it examines, what quantitative evidence it requires, and which interdisciplinary partners it must collaborate with to deploy solutions.

Case Study: MMC Textile Company Industrial Wastewater Pipeline

• Case Scenario Parameters (Hitt et al., 2022):

  • Facility Context: MMC Textile Company utilizes a $30\text{-year-old}$ pipeline to transport industrial wastewater from its production plant to a local treatment facility.

  • Production Growth: Over the past $5\text{ years}$, production output at the factory expanded by $50\%$.

  • Current Operational Deficit: Yasin, a newly hired wastewater engineer, completed initial inspections, reviewed pipeline design specifications, and analyzed operational flow logs.

  • Initial Finding: The aging pipeline currently carries volume flows approaching nearly twice ($200\%$) its registered structural capacity during peak operational periods, presenting significant environmental contamination risks to surrounding communities.

• Engineering Advisory Task Requirements:

  • Supported Evidence (2 Facts):

  1. The wastewater pipeline is $30\text{ years old}$ and operates at up to double its original registered flow capacity.

  2. Factory production increased by $50\%$ within the preceding $5\text{ years}$.

  • Unanswered Questions (3 Focus Areas):

  1. What is the precise physical state, structural wall thickness, and corrosion level of the $30\text{-year-old}$ pipeline material?

  2. What is the chemical composition, pH level, temperature, and toxicity profile of the wastewater currently running through the pipe?

  3. What specific environmental damage or soil/groundwater contamination has already occurred in neighboring residential zones?

  • Required Tests and Measurements (3 Engineering Protocols):

  1. Ultrasonic non-destructive wall-thickness and mechanical stress testing along the pipeline.

  2. Continuous real-time flow rate, volume profile, and internal fluid pressure logging.

  3. Soil and groundwater chemical sampling (pH, chemical oxygen demand, dye concentration, toxic heavy metals) surrounding the pipeline corridor.

  • Key Interdisciplinary Team Members:

  • Civil/Environmental Engineers: Evaluate soil degradation, containment, and environmental remediation.

  • Mechanical Engineers: Assess pipe mechanical strength, pressure limits, and dynamic fluid flow.

  • Chemical Engineers: Analyze wastewater chemical degradation, neutralizers, and treatment options.

  • Industrial/Systems Engineers: Evaluate production scheduling to regulate surge volumes.

  • Action Plan:

  • Immediate Action: Implement operational throttling to restrict peak fluid flow rates and deploy temporary containment/storage tanks to handle overflow production spikes.

  • Long-Term Solution: Design and construct a modern, larger-capacity, corrosion-resistant dual-pipeline system equipped with real-time automated leak detection and integrated pre-treatment infrastructure.

Engineering Knowledge Checks and Checkpoints

• Checkpoint One - Definition of Engineering:

  • Question: Which statement best describes engineering?

  • Correct Answer: The application of knowledge, analysis, and creativity to develop solutions within requirements and constraints.

  • Distinction from Related Fields: Engineering is differentiated from pure science (studying the natural world to generate new knowledge), trade work (manual construction and machine repair), and drafting (creating technical drawings).

• Checkpoint Two - Demonstrating Problem Definition:

  • Question: Which action best demonstrates engineering problem definition?

  • Correct Answer: Determining the stakeholders, system requirements, current conditions, and performance gap.

  • Implication: Selecting immediate solutions (e.g., buying a bigger pipe right away) without baseline evidence violates the core engineering design process.

• Checkpoint Three - Reflection on Non-Traditional Engineering Tasks:

  • Core Insight: Engineering extends beyond technical drafting and physical repair to encompass public health defense, ethical stakeholder engagement, environmental stewardship, regulatory compliance, and interdisciplinary project management.

Course Logistics and Student Demographics

• Auditorium Seating Layout:

  • Seating is organized strictly by lab section around a central cross-aisle facing the podium:

  • Top Left Quadrant: Lab 007, Lab 002

  • Top Right Quadrant: Lab 002, Lab 003

  • Middle Left Quadrant: Lab 004, Lab 005

  • Middle Right Quadrant: Lab 005, Lab 006

  • Front Sections (Facing Podium): Lab 001 (spanning left and right sides)

  • Exits: Located along the central horizontal aisle boundaries on the far left and right walls.

• Fall 2026 ENGR100 Enrollment Breakdown by Major:

  • Mechanical Engineering (ME): $44\text{ students}$ ($23\%$)

  • Electrical Engineering (EE): $42\text{ students}$ ($22\%$)

  • Undecided Engineering (UNDE): $24\text{ students}$ ($13\%$)

  • Computer Engineering / EECE / COEN: $20\text{ students}$ ($10\%$)

  • Industrial & Systems Engineering (IE): $20\text{ students}$ ($10\%$)

  • Human-Centered Engineering Design (HCED): $8\text{ students}$ ($4\%$)

  • Robotics Engineering (RE): $8\text{ students}$ ($4\%$)

  • General Engineering (ENG / GE / MEB / EMG / BSM / DMF / NCF): Counts ranging between $1$ and $7$ students ($1\%$ to $4\%$ each).