THIRD YEAR (3L): Advanced Engineering and Specialization

First Semester (Weeks 81-100)

Week 81: Research Methods in Engineering

Monday: Scientific Research Methods

• Morning (4 hours):

• Research process
• Problem formulation
• Literature review techniques
• Research design

• Afternoon (4 hours):

• Research methods workshop
• Literature search tools
• Critical evaluation
• Research planning

Tuesday: Experimental Design

• Morning (4 hours):

• Experimental design principles
• Factorial designs
• Response surface methodology
• Design of experiments

• Afternoon (4 hours):

• Experimental design laboratory
• Test planning
• Data collection methods
• Statistical considerations

Wednesday: Data Analysis Methods

• Morning (4 hours):

• Statistical analysis
• Uncertainty analysis
• Regression techniques
• Multivariate analysis

• Afternoon (4 hours):

• Data analysis laboratory
• Software tools
• Case studies
• Engineering applications

Thursday: Computational Research Methods

• Morning (4 hours):

• Simulation-based research
• Model validation and verification
• Parameter studies
• High-performance computing

• Afternoon (4 hours):

• Computational methods laboratory
• Simulation setup
• Results analysis
• Research applications

Friday: Research Ethics and Publication

• Morning (4 hours):

• Research ethics
• Intellectual property
• Publication process
• Technical writing

• Afternoon (4 hours):

• Ethics workshop
• Publishing workshop
• Research proposal development
• Peer review exercise

Assessment for Week 81:

• Research problem formulation (15%)
• Experimental design plan (15%)
• Data analysis project (15%)
• Computational research plan (15%)
• Research proposal (20%)

Reading Materials:

• "Research Methodology for Engineers" (Open Textbook Library)
• "Design and Analysis of Experiments" (MIT OCW)
• "Statistical Methods for Engineers" (Open Educational Resources)
• "Computational Research Methods" (OER Commons)
• "Ethics in Research and Publishing" (Open Educational Resources)

Week 82: Advanced Computational Methods

Monday: Advanced Numerical Methods

• Morning (4 hours):

• Advanced root finding
• Numerical optimization
• Numerical integration
• Numerical differential equations

• Afternoon (4 hours):

• Numerical methods laboratory
• Algorithm implementation
• Software applications
• Engineering applications

Tuesday: High-Performance Computing

• Morning (4 hours):

• Parallel computing concepts
• Distributed computing
• GPU computing
• Performance optimization

• Afternoon (4 hours):

• HPC laboratory
• Parallel programming
• Performance benchmarking
• Engineering applications

Wednesday: Advanced Finite Element Methods

• Morning (4 hours):

• Higher-order elements
• Adaptive mesh refinement
• Error estimation
• Nonlinear FEA

• Afternoon (4 hours):

• FEA laboratory
• Advanced modeling
• Results analysis
• Engineering applications

Thursday: Computational Fluid Dynamics Methods

• Morning (4 hours):

• Advanced discretization schemes
• Turbulence modeling
• Multiphase flow models
• Moving meshes

• Afternoon (4 hours):

• CFD laboratory
• Advanced simulation
• Results analysis
• Engineering applications

Friday: Multiscale Modeling

• Morning (4 hours):

• Multiscale concepts
• Scale bridging techniques
• Hierarchical modeling
• Concurrent multiscale methods

• Afternoon (4 hours):

• Multiscale modeling workshop
• Case studies
• Model development
• Engineering applications

Assessment for Week 82:

• Numerical methods project (15%)
• HPC implementation project (15%)
• Advanced FEA project (15%)
• CFD simulation project (15%)
• Multiscale modeling concept (10%)

Reading Materials:

• "Advanced Numerical Methods" (Open Textbook Library)
• "Introduction to High Performance Computing" (MIT OCW)
• "Advanced Finite Element Analysis" (Open Educational Resources)
• "Computational Fluid Dynamics: Advanced Topics" (OER Commons)
• "Multiscale Modeling Methods" (Open Educational Resources)

Week 83: Advanced Dynamic Systems

Monday: Nonlinear Dynamics

• Morning (4 hours):

• Nonlinear system behavior
• Phase space analysis
• Bifurcations
• Chaos theory

• Afternoon (4 hours):

• Nonlinear dynamics laboratory
• Simulation and analysis
• Case studies
• Engineering applications

Tuesday: Advanced Vibration Analysis

• Morning (4 hours):

• Random vibrations
• Spectral analysis
• Statistical energy analysis
• Nonlinear vibrations

• Afternoon (4 hours):

• Vibration laboratory
• Measurement techniques
• Data analysis
• Engineering applications

Wednesday: Advanced Control Systems

• Morning (4 hours):

• Modern control theory
• Robust control
• Adaptive control
• Intelligent control

• Afternoon (4 hours):

• Control systems laboratory
• Controller design
• Performance evaluation
• Engineering applications

Thursday: System Identification

• Morning (4 hours):

• Parametric identification
• Nonparametric methods
• Frequency domain techniques
• Subspace methods

• Afternoon (4 hours):

• System identification laboratory
• Data collection
• Model estimation
• Validation techniques

Friday: Dynamic System Applications

• Morning (4 hours):

• Vehicle dynamics
• Robotic systems
• Structural dynamics
• Biomedical systems

• Afternoon (4 hours):

• Applications workshop
• Case studies
• System analysis
• Engineering applications

Assessment for Week 83:

• Nonlinear dynamics analysis (15%)
• Vibration analysis project (15%)
• Control system design (15%)
• System identification project (15%)
• Dynamic system application analysis (10%)

Reading Materials:

• "Nonlinear Dynamics and Chaos" (Open Textbook Library)
• "Random Vibrations" (MIT OCW)
• "Advanced Control Systems" (Open Educational Resources)
• "System Identification" (OER Commons)
• "Applications of Dynamic Systems" (Open Educational Resources)

Week 84: Advanced Thermal-Fluid Systems

Monday: Advanced Thermodynamics

• Morning (4 hours):

• Exergy analysis
• Thermodynamic optimization
• Chemical thermodynamics
• Statistical thermodynamics

• Afternoon (4 hours):

• Thermodynamics laboratory
• System analysis
• Performance evaluation
• Engineering applications

Tuesday: Advanced Heat Transfer

• Morning (4 hours):

• Microscale heat transfer
• Phase change heat transfer
• Radiative heat transfer
• Numerical heat transfer

• Afternoon (4 hours):

• Heat transfer laboratory
• Measurement techniques
• System analysis
• Engineering applications

Wednesday: Advanced Fluid Mechanics

• Morning (4 hours):

• Compressible flows
• Non-Newtonian fluids
• Multiphase flows
• Microfluidics

• Afternoon (4 hours):

• Fluid mechanics laboratory
• Flow visualization
• Data analysis
• Engineering applications

Thursday: Thermal System Design

• Morning (4 hours):

• System modeling
• Component matching
• Optimization techniques
• Control strategies

• Afternoon (4 hours):

• Thermal system design workshop
• Simulation tools
• Case studies
• Engineering applications

Friday: Computational Thermal-Fluid Analysis

• Morning (4 hours):

• Coupled heat transfer and fluid flow
• Turbulence modeling
• Multiphysics simulation
• Validation techniques

• Afternoon (4 hours):

• Computational laboratory
• Simulation setup
• Results analysis
• Engineering applications

Assessment for Week 84:

• Thermodynamic analysis project (15%)
• Heat transfer system design (15%)
• Fluid mechanics analysis (15%)
• Thermal system design project (15%)
• Computational analysis project (10%)

Reading Materials:

• "Advanced Engineering Thermodynamics" (Open Textbook Library)
• "Advanced Heat Transfer" (MIT OCW)
• "Advanced Fluid Mechanics" (Open Educational Resources)
• "Thermal System Design" (OER Commons)
• "Computational Heat Transfer and Fluid Flow" (Open Educational Resources)

Week 85: Advanced Materials Engineering

Monday: Advanced Structural Materials

• Morning (4 hours):

• High-performance alloys
• Advanced ceramics
• Engineering polymers
• Composite materials

• Afternoon (4 hours):

• Materials laboratory
• Testing techniques
• Property characterization
• Engineering applications

Tuesday: Functional Materials

• Morning (4 hours):

• Smart materials
• Piezoelectric materials
• Magnetostrictive materials
• Electroactive polymers

• Afternoon (4 hours):

• Functional materials laboratory
• Property measurement
• Application development
• Engineering applications

Wednesday: Materials Processing

• Morning (4 hours):

• Advanced manufacturing processes
• Heat treatment
• Surface engineering
• Joining technologies

• Afternoon (4 hours):

• Materials processing laboratory
• Process demonstration
• Property evaluation
• Engineering applications

Thursday: Materials Characterization

• Morning (4 hours):

• Microscopy techniques
• Spectroscopy
• Mechanical testing
• Non-destructive evaluation

• Afternoon (4 hours):

• Characterization laboratory
• Sample preparation
• Data analysis
• Engineering applications

Friday: Materials Selection and Design

• Morning (4 hours):

• Material selection methodologies
• Performance indices
• Property charts
• Design optimization

• Afternoon (4 hours):

• Materials selection workshop
• Case studies
• Design projects
• Engineering applications

Assessment for Week 85:

• Structural materials analysis (15%)
• Functional materials application (15%)
• Processing-property relationship analysis (15%)
• Materials characterization report (15%)
• Materials selection project (10%)

Reading Materials:

• "Advanced Structural Materials" (Open Textbook Library)
• "Functional Materials" (MIT OCW)
• "Materials Processing" (Open Educational Resources)
• "Materials Characterization Techniques" (OER Commons)
• "Materials Selection in Mechanical Design" (Open Educational Resources)

Week 86: Robotics and Automation

Monday: Advanced Robot Kinematics

• Morning (4 hours):

• Forward and inverse kinematics
• Velocity kinematics
• Manipulator Jacobians
• Performance metrics

• Afternoon (4 hours):

• Robotics laboratory
• Kinematic analysis
• Performance evaluation
• Engineering applications

Tuesday: Robot Dynamics and Control

• Morning (4 hours):

• Dynamic equations of motion
• Trajectory planning
• Joint space control
• Cartesian space control

• Afternoon (4 hours):

• Robot control laboratory
• Controller implementation
• Performance testing
• Engineering applications

Wednesday: Mobile Robotics

• Morning (4 hours):

• Locomotion systems
• Navigation and mapping
• Path planning
• Multi-robot systems

• Afternoon (4 hours):

• Mobile robotics laboratory
• Navigation algorithms
• Robot programming
• Engineering applications

Thursday: Computer Vision and Sensing

• Morning (4 hours):

• Vision sensors
• Image processing
• Feature extraction
• Object recognition

• Afternoon (4 hours):

• Computer vision laboratory
• Algorithm implementation
• Performance evaluation
• Engineering applications

Friday: Advanced Manufacturing Automation

• Morning (4 hours):

• Automation systems
• Industrial robotics
• Flexible manufacturing
• Industry 4.0 concepts

• Afternoon (4 hours):

• Automation laboratory
• System integration
• Cell design
• Engineering applications

Assessment for Week 86:

• Robot kinematics analysis (15%)
• Robot controller design (15%)
• Mobile robot navigation project (15%)
• Computer vision implementation (15%)
• Automation system design (10%)

Reading Materials:

• "Robot Kinematics and Dynamics" (Open Textbook Library)
• "Robot Control" (MIT OCW)
• "Introduction to Mobile Robotics" (Open Educational Resources)
• "Computer Vision for Engineers" (OER Commons)
• "Manufacturing Automation" (Open Educational Resources)

Week 87: Specialization Track 1

Students select one of several specialization tracks for in-depth study. Each track consists of five focused days of instruction.

Specialization Option 1: Advanced Energy Systems

• Monday: Advanced Power Generation
• Tuesday: Renewable Energy Systems
• Wednesday: Energy Storage Technologies
• Thursday: Smart Grid and Power Distribution
• Friday: Energy System Integration and Optimization

Specialization Option 2: Aerospace Engineering

• Monday: Advanced Aerodynamics
• Tuesday: Aircraft Structures and Materials
• Wednesday: Propulsion Systems
• Thursday: Aircraft Stability and Control
• Friday: Aircraft Design and Integration

Specialization Option 3: Automotive Engineering

• Monday: Vehicle Dynamics and Control
• Tuesday: Powertrain Systems
• Wednesday: Vehicle Electrification
• Thursday: Autonomous Vehicle Technology
• Friday: Vehicle Design and Integration

Specialization Option 4: Robotics and Mechatronics

• Monday: Advanced Robot Design
• Tuesday: Intelligent Control Systems
• Wednesday: Human-Robot Interaction
• Thursday: Multi-Robot Systems
• Friday: Robot System Integration

Specialization Option 5: Advanced Manufacturing

• Monday: Additive Manufacturing
• Tuesday: Smart Manufacturing Systems
• Wednesday: Manufacturing Process Optimization
• Thursday: Digital Manufacturing
• Friday: Advanced Quality Engineering

Assessment for Week 87:

• Technical assignments (30%)
• Laboratory reports (20%)
• Design project (30%)
• Final examination (20%)

Reading Materials:

• Specialized resources based on track selection
• Current research papers and journal articles
• Industry standards and best practices
• Open educational resources specific to each track

Week 88: Specialization Track 2

Students continue with a second week of specialization in their chosen track.

Specialization Option 1: Advanced Energy Systems

• Monday: Combined Heat and Power Systems
• Tuesday: Nuclear Energy Technology
• Wednesday: Carbon Capture and Sequestration
• Thursday: Energy Efficiency and Demand Management
• Friday: Energy Economics and Policy

Specialization Option 2: Aerospace Engineering

• Monday: Computational Aerodynamics
• Tuesday: Aerospace Materials and Manufacturing
• Wednesday: Aircraft Systems Integration
• Thursday: Flight Testing and Certification
• Friday: Space Vehicle Design

Specialization Option 3: Automotive Engineering

• Monday: Advanced Combustion Systems
• Tuesday: Electric and Hybrid Powertrains
• Wednesday: Vehicle Lightweighting
• Thursday: Connected Vehicle Technology
• Friday: Advanced Safety Systems

Specialization Option 4: Robotics and Mechatronics

• Monday: Bio-Inspired Robotics
• Tuesday: Soft Robotics
• Wednesday: Robot Learning and Adaptation
• Thursday: Medical Robotics
• Friday: Field Robotics

Specialization Option 5: Advanced Manufacturing

• Monday: Advanced Machining Processes
• Tuesday: Micro and Nano Manufacturing
• Wednesday: Sustainable Manufacturing
• Thursday: Manufacturing Systems Simulation
• Friday: Industry 4.0 Implementation

Assessment for Week 88:

• Technical assignments (30%)
• Laboratory reports (20%)
• Design project (30%)
• Final examination (20%)

Reading Materials:

• Specialized resources based on track selection
• Current research papers and journal articles
• Industry standards and best practices
• Open educational resources specific to each track

Week 89-93: Research Project

Week 89: Project Definition and Planning

• Monday-Friday:

• Research problem formulation
• Literature review
• State-of-the-art assessment
• Research methodology
• Experimental design
• Resource planning
• Project schedule development
• Faculty consultations

Week 90: Theoretical Development

• Monday-Friday:

• Theoretical framework
• Mathematical modeling
• Analytical methods
• Computational approaches
• Preliminary analysis
• Research hypothesis refinement
• Progress reviews
• Faculty consultations

Week 91: Experimental/Computational Implementation

• Monday-Friday:

• Experimental setup
• Data acquisition systems
• Computational implementation
• Preliminary testing
• Calibration procedures
• Validation approach
• Documentation
• Faculty consultations

Week 92: Data Collection and Analysis

• Monday-Friday:

• Experimental data collection
• Computational simulations
• Statistical analysis
• Uncertainty quantification
• Results interpretation
• Model refinement
• Documentation
• Faculty consultations

Week 93: Project Completion and Reporting

• Monday-Thursday:

• Final analysis
• Conclusion development
• Future work identification
• Report writing
• Presentation preparation

• Friday:

• Research presentations
• Peer evaluation
• Faculty assessment
• Project reflection

Assessment for Project (Weeks 89-93):

• Research proposal (10%)
• Literature review (15%)
• Research methodology (15%)
• Implementation and data collection (20%)
• Data analysis and results (20%)
• Final presentation (10%)
• Final report (10%)

Reading Materials:

• "Research Methods for Engineers" (Open Textbook Library)
• "Data Analysis for Scientists and Engineers" (MIT OCW)
• "Technical Writing for Engineers" (Open Educational Resources)
• Field-specific reference materials based on project focus

Week 94: Industry Applications and Case Studies

Monday: Industry Case Studies - Energy Sector

• Morning (4 hours):

• Power generation technologies
• Energy distribution systems
• Renewable energy projects
• Energy efficiency initiatives

• Afternoon (4 hours):

• Case study analysis
• Industry panel discussion
• Problem-solving workshop
• Engineering applications

Tuesday: Industry Case Studies - Transportation Sector

• Morning (4 hours):

• Automotive industry challenges
• Aerospace applications
• Rail transportation
• Marine systems

• Afternoon (4 hours):

• Case study analysis
• Industry panel discussion
• Problem-solving workshop
• Engineering applications

Wednesday: Industry Case Studies - Manufacturing Sector

• Morning (4 hours):

• Advanced manufacturing implementations
• Industry 4.0 transformations
• Supply chain optimization
• Quality management systems

• Afternoon (4 hours):

• Case study analysis
• Industry panel discussion
• Problem-solving workshop
• Engineering applications

Thursday: Industry Case Studies - Healthcare and Biomedical Sector

• Morning (4 hours):

• Medical device development
• Rehabilitation engineering
• Healthcare systems
• Regulatory considerations

• Afternoon (4 hours):

• Case study analysis
• Industry panel discussion
• Problem-solving workshop
• Engineering applications

Friday: Engineering Consulting and Problem Solving

• Morning (4 hours):

• Consulting methodologies
• Problem framing
• Solution development
• Client communication

• Afternoon (4 hours):

• Problem-solving workshop
• Team challenges
• Solution presentations
• Professional development

Assessment for Week 94:

• Energy sector case analysis (15%)
• Transportation sector case analysis (15%)
• Manufacturing sector case analysis (15%)
• Healthcare sector case analysis (15%)
• Consulting problem solution (10%)

Reading Materials:

• "Engineering Case Studies" (Open Textbook Library)
• "Industry Applications of Mechanical Engineering" (MIT OCW)
• "Problem Solving for Engineers" (Open Educational Resources)
• "Technical Consulting Skills" (OER Commons)
• "Industry-Specific Engineering Standards" (Open Educational Resources)

Week 95: Engineering Management and Leadership

Monday: Engineering Project Management

• Morning (4 hours):

• Project lifecycle
• Work breakdown structure
• Scheduling techniques
• Resource management

• Afternoon (4 hours):

• Project management workshop
• Case studies
• Software tools
• Engineering applications

Tuesday: Engineering Team Leadership

• Morning (4 hours):

• Leadership principles
• Team dynamics
• Conflict resolution
• Performance management

• Afternoon (4 hours):

• Leadership workshop
• Case studies
• Role-playing exercises
• Professional development

Wednesday: Engineering Economics and Finance

• Morning (4 hours):

• Cost estimation
• Economic analysis methods
• Financial decision making
• Risk assessment

• Afternoon (4 hours):

• Economic analysis workshop
• Case studies
• Decision-making exercises
• Engineering applications

Thursday: Quality and Systems Engineering

• Morning (4 hours):

• Quality management systems
• Six Sigma methodology
• Systems engineering principles
• Process improvement

• Afternoon (4 hours):

• Quality engineering workshop
• Case studies
• System analysis
• Engineering# MECHANICAL ENGINEERING: 4-Year Curriculum

applications

• Afternoon (4 hours):

• Quality engineering workshop
• Case studies
• System analysis
• Engineering applications

Friday: Innovation Management

• Morning (4 hours):

• Innovation process
• Technology management
• Intellectual property
• Research and development

• Afternoon (4 hours):

• Innovation workshop
• Case studies
• Creativity exercises
• Engineering applications

Assessment for Week 95:

• Project management plan (15%)
• Leadership case study analysis (15%)
• Economic analysis project (15%)
• Quality improvement proposal (15%)
• Innovation strategy development (10%)

Reading Materials:

• "Engineering Project Management" (Open Textbook Library)
• "Leadership for Engineers" (MIT OCW)
• "Engineering Economics" (Open Educational Resources)
• "Quality Engineering" (OER Commons)
• "Managing Engineering Innovation" (Open Educational Resources)

Week 96-100: Capstone Project

Week 96: Project Definition and Planning

• Monday-Friday:

• Problem definition
• Stakeholder analysis
• Requirements development
• Project planning
• Team organization
• Research methodology
• Resource planning
• Faculty and industry consultations

Week 97: Conceptual Design and Analysis

• Monday-Friday:

• Concept generation
• Feasibility analysis
• Preliminary calculations
• Modeling and simulation
• Design reviews
• Concept selection
• Risk assessment
• Faculty and industry consultations

Week 98: Detailed Design and Development

• Monday-Friday:

• Detailed engineering design
• Analysis and optimization
• Component specification
• Manufacturing planning
• Prototype development
• Testing plans
• Documentation
• Faculty and industry consultations

Week 99: Implementation and Testing

• Monday-Friday:

• Prototype fabrication
• System integration
• Testing and validation
• Performance evaluation
• Design refinement
• Documentation
• Faculty and industry consultations

Week 100: Project Completion and Presentation

• Monday-Thursday:

• Final refinements
• Documentation completion
• Presentation preparation
• Exhibition setup

• Friday:

• Project presentations
• Demonstration of prototypes
• External reviewer evaluation
• Industry feedback
• Professional development planning

Assessment for Project (Weeks 96-100):

• Project proposal and planning (10%)
• Conceptual design report (15%)
• Detailed design report (20%)
• Implementation and testing (25%)
• Final presentation and demonstration (20%)
• Final project report (10%)

Reading Materials:

• "Engineering Design Process" (Open Educational Resources)
• "Project Management for Engineers" (Open Textbook Library)
• "Technical Communication" (OER Commons)
• Field-specific reference materials based on project focus
• Industry standards and best practices

THIRD YEAR (3L): Advanced Engineering and Specialization

Second Semester (Weeks 101-120)

Week 101: Advanced Design Optimization

Monday: Engineering Optimization Methods

• Morning (4 hours):

• Optimization problem formulation
• Linear programming
• Nonlinear programming
• Metaheuristic algorithms

• Afternoon (4 hours):

• Optimization workshop
• Algorithm implementation
• Case studies
• Engineering applications

Tuesday: Multi-objective Optimization

• Morning (4 hours):

• Multi-objective problem formulation
• Pareto optimality
• Decision-making methods
• Trade-off analysis

• Afternoon (4 hours):

• Multi-objective optimization workshop
• Software tools
• Case studies
• Engineering applications

Wednesday: Structural Optimization

• Morning (4 hours):

• Topology optimization
• Size optimization
• Shape optimization
• Design constraints

• Afternoon (4 hours):

• Structural optimization laboratory
• Software applications
• Case studies
• Engineering applications

Thursday: System Design Optimization

• Morning (4 hours):

• System modeling
• Design space exploration
• Sensitivity analysis
• Robust design optimization

• Afternoon (4 hours):

• System optimization workshop
• Simulation tools
• Case studies
• Engineering applications

Friday: Design for Additive Manufacturing

• Morning (4 hours):

• AM process constraints
• Topology optimization for AM
• Part consolidation
• Support structure optimization

• Afternoon (4 hours):

• DfAM workshop
• Design exercises
• Case studies
• Engineering applications

Assessment for Week 101:

• Optimization algorithm implementation (15%)
• Multi-objective optimization project (15%)
• Structural optimization case study (15%)
• System optimization project (15%)
• DfAM design project (10%)

Reading Materials:

• "Engineering Optimization: Methods and Applications" (Open Textbook Library)
• "Multi-objective Optimization" (MIT OCW)
• "Structural Optimization" (Open Educational Resources)
• "System Design Optimization" (OER Commons)
• "Design for Additive Manufacturing" (Open Educational Resources)

Week 102: Advanced Energy Conversion and Storage

Monday: Advanced Heat Engines

• Morning (4 hours):

• Advanced Rankine cycles
• Combined cycle systems
• Supercritical CO2 cycles
• Efficiency enhancement techniques

• Afternoon (4 hours):

• Heat engine laboratory
• Cycle analysis
• Performance evaluation
• Engineering applications

Tuesday: Fuel Cell Systems

• Morning (4 hours):

• Fuel cell types and principles
• System components
• Balance of plant
• Performance characteristics

• Afternoon (4 hours):

• Fuel cell laboratory
• System testing
• Performance analysis
• Engineering applications

Wednesday: Advanced Energy Storage

• Morning (4 hours):

• Electrochemical storage
• Thermal energy storage
• Mechanical energy storage
• Hydrogen storage

• Afternoon (4 hours):

• Energy storage laboratory
• System testing
• Performance analysis
• Engineering applications

Thursday: Renewable Energy Integration

• Morning (4 hours):

• Grid integration challenges
• Hybrid energy systems
• Energy management strategies
• System stability

• Afternoon (4 hours):

• Renewable integration workshop
• System simulation
• Case studies
• Engineering applications

Friday: Energy Harvesting Technologies

• Morning (4 hours):

• Photovoltaic systems
• Thermoelectric generators
• Piezoelectric harvesters
• Electromagnetic harvesters

• Afternoon (4 hours):

• Energy harvesting laboratory
• System testing
• Performance analysis
• Engineering applications

Assessment for Week 102:

• Heat engine cycle analysis (15%)
• Fuel cell system design (15%)
• Energy storage system selection (15%)
• Renewable integration strategy (15%)
• Energy harvesting application (10%)

Reading Materials:

• "Advanced Heat Engines" (Open Textbook Library)
• "Fuel Cell Systems" (MIT OCW)
• "Energy Storage Technologies" (Open Educational Resources)
• "Renewable Energy Integration" (OER Commons)
• "Energy Harvesting" (Open Educational Resources)

Week 103: Advanced Manufacturing Technologies

Monday: Advanced Machining Processes

• Morning (4 hours):

• High-speed machining
• Ultra-precision machining
• Micro-machining
• Non-traditional machining

• Afternoon (4 hours):

• Advanced machining laboratory
• Process demonstration
• Performance evaluation
• Engineering applications

Tuesday: Advanced Forming Processes

• Morning (4 hours):

• Severe plastic deformation
• Incremental forming
• Hot forming
• Precision forming

• Afternoon (4 hours):

• Advanced forming laboratory
• Process demonstration
• Part evaluation
• Engineering applications

Wednesday: Additive Manufacturing Technology

• Morning (4 hours):

• Metal AM processes
• Polymer AM processes
• Ceramic AM processes
• Composite AM processes

• Afternoon (4 hours):

• Additive manufacturing laboratory
• Process demonstration
• Part evaluation
• Engineering applications

Thursday: Smart Manufacturing Systems

• Morning (4 hours):

• Digital twin technology
• IoT in manufacturing
• AI and machine learning applications
• Real-time monitoring and control

• Afternoon (4 hours):

• Smart manufacturing laboratory
• System demonstration
• Data analysis
• Engineering applications

Friday: Sustainable Manufacturing

• Morning (4 hours):

• Energy-efficient manufacturing
• Material utilization
• Waste reduction
• Lifecycle assessment

• Afternoon (4 hours):

• Sustainable manufacturing workshop
• Case studies
• Process evaluation
• Engineering applications

Assessment for Week 103:

• Advanced machining process plan (15%)
• Advanced forming analysis (15%)
• Additive manufacturing design project (15%)
• Smart manufacturing implementation plan (15%)
• Sustainable manufacturing evaluation (10%)

Reading Materials:

• "Advanced Machining Processes" (Open Textbook Library)
• "Advanced Forming Technology" (MIT OCW)
• "Additive Manufacturing Processes" (Open Educational Resources)
• "Smart Manufacturing Systems" (OER Commons)
• "Sustainable Manufacturing" (Open Educational Resources)

Week 104: Advanced Robotics and Automation

Monday: Advanced Robotic Systems

• Morning (4 hours):

• Advanced manipulator design
• Parallel robots
• Compliant mechanisms
• Performance optimization

• Afternoon (4 hours):

• Advanced robotics laboratory
• System analysis
• Performance evaluation
• Engineering applications

Tuesday: Advanced Control Architectures

• Morning (4 hours):

• Hierarchical control
• Behavior-based control
• Hybrid control architectures
• Distributed control

• Afternoon (4 hours):

• Control architecture laboratory
• System implementation
• Performance testing
• Engineering applications

Wednesday: Intelligent Robotics

• Morning (4 hours):

• Machine learning for robotics
• Computer vision integration
• Natural language interfaces
• Knowledge representation

• Afternoon (4 hours):

• Intelligent robotics laboratory
• Algorithm implementation
• System integration
• Engineering applications

Thursday: Human-Robot Collaboration

• Morning (4 hours):

• Collaborative robot design
• Safety systems
• Interaction interfaces
• Task allocation

• Afternoon (4 hours):

• Human-robot collaboration laboratory
• System testing
• Performance evaluation
• Engineering applications

Friday: Field Robotics

• Morning (4 hours):

• Outdoor navigation
• Environmental perception
• Terrain interaction
• Mission planning

• Afternoon (4 hours):

• Field robotics workshop
• System design
• Case studies
• Engineering applications

Assessment for Week 104:

• Advanced robot design analysis (15%)
• Control architecture implementation (15%)
• Intelligent robotics project (15%)
• Human-robot collaboration design (15%)
• Field robotics application proposal (10%)

Reading Materials:

• "Advanced Robotic Systems" (Open Textbook Library)
• "Robot Control Architectures" (MIT OCW)
• "Intelligent Robots" (Open Educational Resources)
• "Human-Robot Collaboration" (OER Commons)
• "Field Robotics" (Open Educational Resources)

Week 105: Advanced Dynamics and Control

Monday: Nonlinear System Dynamics

• Morning (4 hours):

• Nonlinear phenomena
• Stability analysis
• Limit cycles
• Bifurcations

• Afternoon (4 hours):

• Nonlinear dynamics laboratory
• System analysis
• Simulation techniques
• Engineering applications

Tuesday: Optimal Control Systems

• Morning (4 hours):

• Optimal control formulation
• Dynamic programming
• Pontryagin's maximum principle
• Numerical methods

• Afternoon (4 hours):

• Optimal control laboratory
• Algorithm implementation
• Performance evaluation
• Engineering applications

Wednesday: Adaptive and Learning Control

• Morning (4 hours):

• Model reference adaptive control
• Self-tuning regulators
• Reinforcement learning
• Neural network control

• Afternoon (4 hours):

• Adaptive control laboratory
• Controller implementation
• Performance testing
• Engineering applications

Thursday: Robust Control Design

• Morning (4 hours):

• Uncertainty modeling
• H-infinity control
• μ-synthesis
• Loop shaping

• Afternoon (4 hours):

• Robust control laboratory
• Controller design
• Robustness analysis
• Engineering applications

Friday: Applied Control Systems

• Morning (4 hours):

• Mechatronic systems
• Vehicle control systems
• Process control
• Aerospace applications

• Afternoon (4 hours):

• Applied control workshop
• System design
• Case studies
• Engineering applications

Assessment for Week 105:

• Nonlinear dynamics analysis (15%)
• Optimal controller design (15%)
• Adaptive control implementation (15%)
• Robust control design (15%)
• Applied control system project (10%)

Reading Materials:

• "Nonlinear System Dynamics" (Open Textbook Library)
• "Optimal Control Theory" (MIT OCW)
• "Adaptive and Learning Control" (Open Educational Resources)
• "Robust Control Design" (OER Commons)
• "Applied Control Systems" (Open Educational Resources)

Week 106: Advanced Thermal-Fluid Systems

Monday: Computational Heat Transfer

• Morning (4 hours):

• Numerical methods for conduction
• Convection modeling
• Radiation exchange
• Coupled heat transfer

• Afternoon (4 hours):

• Computational heat transfer laboratory
• Model development
• Results analysis
• Engineering applications

Tuesday: Advanced Turbulence Modeling

• Morning (4 hours):

• Turbulence physics
• RANS models
• Large eddy simulation
• Direct numerical simulation

• Afternoon (4 hours):

• Turbulence modeling laboratory
• Simulation setup
• Results analysis
• Engineering applications

Wednesday: Multiphase Flow Systems

• Morning (4 hours):

• Flow regimes
• Phase interaction models
• Heat and mass transfer
• Numerical approaches

• Afternoon (4 hours):

• Multiphase flow laboratory
• System analysis
• Experimental techniques
• Engineering applications

Thursday: Thermal System Design and Optimization

• Morning (4 hours):

• System modeling
• Component selection
• Performance prediction
• Optimization techniques

• Afternoon (4 hours):

• Thermal system design workshop
• Case studies
• Design exercises
• Engineering applications

Friday: Environmental and Building Systems

• Morning (4 hours):

• Indoor air quality
• Building energy systems
• Thermal comfort
• Energy efficiency

• Afternoon (4 hours):

• Building systems workshop
• System design
• Performance analysis
• Engineering applications

Assessment for Week 106:

• Computational heat transfer project (15%)
• Turbulence modeling analysis (15%)
• Multiphase flow system design (15%)
• Thermal system optimization (15%)
• Building system design project (10%)

Reading Materials:

• "Computational Heat Transfer" (Open Textbook Library)
• "Turbulence Modeling" (MIT OCW)
• "Multiphase Flow Systems" (Open Educational Resources)
• "Thermal System Design" (OER Commons)
• "Building Energy Systems" (Open Educational Resources)

Week 107: Advanced Materials Science

Monday: Advanced Composite Materials

• Morning (4 hours):

• Advanced fiber reinforcements
• Matrix materials
• Interface phenomena
• Processing techniques

• Afternoon (4 hours):

• Composite materials laboratory
• Fabrication techniques
• Testing methods
• Engineering applications

Tuesday: Functional and Smart Materials

• Morning (4 hours):

• Piezoelectric materials
• Shape memory alloys
• Magnetostrictive materials
• Responsive polymers

• Afternoon (4 hours):

• Functional materials laboratory
• Property characterization
• Device fabrication
• Engineering applications

Wednesday: Nanomaterials and Nanotechnology

• Morning (4 hours):

• Nanomaterial synthesis
• Characterization techniques
• Properties at nanoscale
• Application areas

• Afternoon (4 hours):

• Nanomaterials laboratory
• Fabrication techniques
• Property measurement
• Engineering applications

Thursday: Biomaterials

• Morning (4 hours):

• Biocompatibility
• Mechanical properties
• Surface modification
• Degradation behavior

• Afternoon (4 hours):

• Biomaterials laboratory
• Testing methods
• Property evaluation
• Engineering applications

Friday: Materials for Extreme Environments

• Morning (4 hours):

• High-temperature materials
• Corrosion-resistant materials
• Radiation-resistant materials
• Impact-resistant materials

• Afternoon (4 hours):

• Extreme materials workshop
• Property analysis
• Selection methodologies
• Engineering applications

Assessment for Week 107:

• Composite design project (15%)
• Functional material application (15%)
• Nanomaterial characterization report (15%)
• Biomaterial selection project (15%)
• Extreme environment material selection (10%)

Reading Materials:

• "Advanced Composite Materials" (Open Textbook Library)
• "Functional and Smart Materials" (MIT OCW)
• "Nanomaterials and Nanotechnology" (Open Educational Resources)
• "Biomaterials Science" (OER Commons)
• "Materials for Extreme Environments" (Open Educational Resources)

Week 108: Specialization Track 3

Students select one of several specialization tracks for in-depth study. Each track consists of five focused days of instruction.

Specialization Option 1: Advanced Energy Systems

• Monday: Advanced Thermal Power Systems
• Tuesday: Energy Storage and Grid Integration
• Wednesday: Hydrogen Energy Systems
• Thursday: Building Energy Performance
• Friday: Energy Modeling and Simulation

Specialization Option 2: Aerospace Engineering

• Monday: Spacecraft Propulsion
• Tuesday: Spacecraft Dynamics and Control
• Wednesday: Aerospace Structures
• Thursday: Aerodynamics and Flight Mechanics
• Friday: Aerospace Mission Design

Specialization Option 3: Advanced Manufacturing

• Monday: Digital Manufacturing
• Tuesday: Advanced Material Processing
• Wednesday: Manufacturing Process Simulation
• Thursday: Smart Factory Systems
• Friday: Manufacturing System Design

Specialization Option 4: Robotics and Mechatronics

• Monday: Soft Robotics
• Tuesday: Aerial Robotics
• Wednesday: Medical Robotics
• Thursday: Legged Locomotion
• Friday: Robot Planning and Learning

Specialization Option 5: Sustainable Design

• Monday: Life Cycle Assessment
• Tuesday: Design for Circularity
• Wednesday: Ecological Engineering
• Thursday: Sustainable Materials
• Friday: Sustainable Systems Design

Assessment for Week 108:

• Technical assignments (30%)
• Laboratory reports (20%)
• Design project (30%)
• Final examination (20%)

Reading Materials:

• Specialized resources based on track selection
• Current research papers and journal articles
• Industry standards and best practices
• Open educational resources specific to each track

Week 109: Specialization Track 4

Students continue with a fourth week of specialization in their chosen track.

Specialization Option 1: Advanced Energy Systems

• Monday: Microgrid Systems
• Tuesday: Advanced Heat Pumps
• Wednesday: Solar Thermal Systems
• Thursday: Waste Heat Recovery
• Friday: Energy System Economics

Specialization Option 2: Aerospace Engineering

• Monday: Computational Aeroelasticity
• Tuesday: Advanced Composite Structures
• Wednesday: Aircraft Systems Integration
• Thursday: Space Environment and Materials
• Friday: Autonomous Aerospace Systems

Specialization Option 3: Advanced Manufacturing

• Monday: Hybrid Manufacturing Processes
• Tuesday: Metal Additive Manufacturing
• Wednesday: Precision Engineering
• Thursday: Manufacturing Automation
• Friday: Production Planning and Control

Specialization Option 4: Robotics and Mechatronics

• Monday: Robot Vision Systems
• Tuesday: Haptics and Teleoperation
• Wednesday: Swarm Robotics
• Thursday: Rehabilitation Robotics
• Friday: Robot Ethics and Societal Impact

Specialization Option 5: Sustainable Design

• Monday: Renewable Energy Integration
• Tuesday: Green Manufacturing
• Wednesday: Sustainable Transportation
• Thursday: Water Systems Engineering
• Friday: Resilient Infrastructure Design

Assessment for Week 109:

• Technical assignments (30%)
• Laboratory reports (20%)
• Design project (30%)
• Final examination (20%)

Reading Materials:

• Specialized resources based on track selection
• Current research papers and journal articles
• Industry standards and best practices
• Open educational resources specific to each track

Week 110-114: Advanced Research Project

Week 110: Project Definition and Planning

• Monday-Friday:

• Research problem formulation
• Literature review
• State-of-the-art assessment
• Research methodology
• Experimental design
• Resource planning
• Project schedule development
• Faculty consultations

Week 111: Theoretical Development

• Monday-Friday:

• Theoretical framework
• Mathematical modeling
• Analytical methods
• Computational approaches
• Preliminary analysis
• Research hypothesis refinement
• Progress reviews
• Faculty consultations

Week 112: Experimental/Computational Implementation

• Monday-Friday:

• Experimental setup
• Data acquisition systems
• Computational implementation
• Preliminary testing
• Calibration procedures
• Validation approach
• Documentation
• Faculty consultations

Week 113: Data Collection and Analysis

• Monday-Friday:

• Experimental data collection
• Computational simulations
• Statistical analysis
• Uncertainty quantification
• Results interpretation
• Model refinement
• Documentation
• Faculty consultations

Week 114: Project Completion and Reporting

• Monday-Thursday:

• Final analysis
• Conclusion development
• Future work identification
• Report writing
• Presentation preparation

• Friday:

• Research presentations
• Peer evaluation
• Faculty assessment
• Project reflection

Assessment for Project (Weeks 110-114):

• Research proposal (10%)
• Literature review (15%)
• Research methodology (15%)
• Implementation and data collection (20%)
• Data analysis and results (20%)
• Final presentation (10%)
• Final report (10%)

Reading Materials:

• "Research Methods for Engineers" (Open Textbook Library)
• "Data Analysis for Scientists and Engineers" (MIT OCW)
• "Technical Writing for Engineers" (Open Educational Resources)
• Field-specific reference materials based on project focus

Week 115: Industry Collaboration and Professional Skills

Monday: Industry-University Collaboration

• Morning (4 hours):

• Collaboration models
• Industry research needs
• Technology transfer
• Intellectual property

• Afternoon (4 hours):

• Industry collaboration workshop
• Case studies
• Project development
• Engineering applications

Tuesday: Technical Leadership

• Morning (4 hours):

• Leadership principles
• Team dynamics
• Decision making
• Conflict resolution

• Afternoon (4 hours):

• Leadership workshop
• Case studies
• Role-playing exercises
• Professional development

Wednesday: Engineering Communication

• Morning (4 hours):

• Technical writing
• Presentation skills
• Visual communication
• Audience adaptation

• Afternoon (4 hours):

• Communication workshop
• Writing exercises
• Presentation practice
• Peer feedback

Thursday: Professional Ethics and Standards

• Morning (4 hours):

• Engineering ethics
• Professional standards
• Regulatory compliance
• Social responsibility

• Afternoon (4 hours):

• Ethics workshop
• Case studies
• Decision-making exercises
• Professional development

Friday: Career Development

• Morning (4 hours):

• Career planning
• Professional networking
• Resume and portfolio development
• Interview skills

• Afternoon (4 hours):

• Career development workshop
• Industry panel
• Networking practice
• Professional development

Assessment for Week 115:

• Industry collaboration proposal (15%)
• Leadership case study analysis (15%)
• Technical communication portfolio (15%)
• Ethics case analysis (15%)
• Career development plan (10%)

Reading Materials:

• "Industry-University Collaboration" (Open Textbook Library)
• "Engineering Leadership" (MIT OCW)
• "Technical Communication" (Open Educational Resources)
• "Engineering Ethics" (OER Commons)
• "Career Development for Engineers" (Open Educational Resources)

Week 116-120: Capstone Design Project

Week 116: Project Definition and Planning

• Monday-Friday:

• Problem definition
• Stakeholder analysis
• Requirements development
• Project planning
• Team organization
• Research methodology
• Resource planning
• Faculty and industry consultations

Week 117: Conceptual Design and Analysis

• Monday-Friday:

• Concept generation
• Feasibility analysis
• Preliminary calculations
• Modeling and simulation
• Design reviews
• Concept selection
• Risk assessment
• Faculty and industry consultations

Week 118: Detailed Design and Development

• Monday-Friday:

• Detailed engineering design
• Analysis and optimization
• Component specification
• Manufacturing planning
• Prototype development
• Testing plans
• Documentation
• Faculty and industry consultations

Week 119: Implementation and Testing

• Monday-Friday:

• Prototype fabrication
• System integration
• Testing and validation
• Performance evaluation
• Design refinement
• Documentation
• Faculty and industry consultations

Week 120: Project Completion and Presentation

• Monday-Thursday:

• Final refinements
• Documentation completion
• Presentation preparation
• Exhibition setup

• Friday:

• Project presentations
• Demonstration of prototypes
• External reviewer evaluation
• Industry feedback
• Professional development planning

Assessment for Project (Weeks 116-120):

• Project proposal and planning (10%)
• Conceptual design report (15%)
• Detailed design report (20%)
• Implementation and testing (25%)
• Final presentation and demonstration (20%)
• Final project report (10%)

Reading Materials:

• "Engineering Design Process" (Open Educational Resources)
• "Project Management for Engineers" (Open Textbook Library)
• "Technical Communication" (OER Commons)
• Field-specific reference materials based on project focus
• Industry standards and best practices