Course Learning Outcomes:

1. Summarize visualize and interpret data using quantitative and graphical methods.
2. Apply simple discrete probability models to analyze data related to quality such as particle size and to evaluate risk factors such as safety and environmental compliance.
3. Apply continuous probability models to assist in decision-making with applications to quality improvement resource estimation safety and environmental compliance.
4. Formulate confidence intervals and hypothesis tests for mean and variance using standard conditions, with applications including decision-making for quality improvement.
5. Develop, estimate and analyze linear regression models to describe and predict process and laboratory behaviour.
6. Use computer software to solve statistical problems.

Course Learning Outcomes:

1. Develop and solve material, energy, and entropy balances for process components, open or closed.
2. Apply the First Law of Thermodynamics to compute heat, work, and changes in internal energy and enthalpy for the analysis of open or closed homogeneous systems undergoing reversible or irreversible processes. Apply the Second Law of Thermodynamics and the concept of entropy production to the analysis of open or closed homogeneous systems undergoing reversible or irreversible processes.
3. Use the fundamental relation or the equation of state of a given substance to determine changes in its properties and to compute changes in macroscopic quantities of interest. Understand the relationships between internal energy, enthalpy, entropy, Gibbs and Helmholtz free energies potentials. Relate these potentials to fluid properties, measurable variables, and macroscopic quantities of interest.
4. Describe and analyze the performance and efficiency of gas engines. Describe and analyze ideal and non-ideal gas cycles, including Brayton cycles, regenerator cycles, and gas refrigeration cycles. Apply the combined material, energy, entropy, and exergy balance equations to solve and analyze process flow problems.
5. Describe and analyze the performance and efficiency of ideal and non-ideal multi-phase cycles, including Rankine cycles, combined cycles, cogeneration cycles, reheat cycles, and refrigeration cycles. Apply the combined material, energy, entropy, and exergy balance equations to solve and analyze process flow problems.

Course Learning Outcomes:

1. Demonstrate proficiency in operation and control of process and analytical equipment.
2. Demonstrate engineering judgment and an awareness of the nature and magnitude of physical and chemical effects and factors, as well as errors and uncertainties.
3. Collect and interpret data to draw meaningful conclusions and evaluate the strengths, weaknesses and limitations of current chemical engineering theory.
4. Write concise, coherent, and grammatically correct lab reports that reflect critical analysis and synthesis. Deliver clear and organized formal oral presentations.
5. Demonstrate effective independent learning, initiative, originality and creativity in completion of pre-lab preparation and other tasks.
6. Work effectively as group member and demonstrate good leadership skills when team leader, adopting a professional approach during all project phases.
7. Document and follow appropriate safety protocols.

Course Learning Outcomes:

1. Draw and fully label a process flow diagram (PFD) for application of material and energy balances.
2. Formulate and solve the material balance equations to analyze steady-state single-unit and multiple-unit processes without reaction.
3. Formulate and solve the material balance equations to analyze steady-state processes with reaction.
4. Formulate and solve combined steady-state material and energy balances for chemical processes.

Course Learning Outcomes:

1. Develop dynamic and steady-state models of chemical processes using mass balance, energy balance and constitutive relationships.
2. Calculate states, inputs or parameters at steady states via solving relevant algebraic equations.
3. Analyze process dynamics via solving relevant ordinary differential equations.
4. Develop linearized models with deviation variables and solve using Laplace transforms.
5. Solve complex algebraic and ordinary differential equations using MATLAB built-in functions, and implement classical numerical methods on MATLAB.

Course Learning Outcomes:

1. Calculate the pressure distribution in static fluids and the forces on submerged surfaces.
2. Formulate mass, momentum and energy balances using the control volume and differential analysis of fluid flow.
3. Identify boundary conditions and solve differential equations describing one-dimensional fluid flow.
4. Determine frictional losses, size pipes and calculate pump power requirements in laminar and turbulent flow for viscous flow in closed conduits.
5. Calculate the drag forces on submerged objects in laminar and turbulent flow.
6. Use dimensional analysis to derive relationships among process or system variables.
7. Demonstrate an understanding of the technical aspects of pressure, flow and viscosity measurement and sizing of pumps and pipes.

Course Learning Outcomes:

1. Calculate centre of mass, moment of inertia and volumes using multiple integrals, to determine hydrostatic forces on surfaces.
2. Analyze transport phenomena fundamentals (forces in space, moment of a force, work done by a force) and fluid kinematics (displacement, velocity and acceleration, motion along a curve)Define streamlines, streaklines and pathlines.
3. Apply the integral relations for a control volume and the Reynolds transport theorem to analyze fluid motion.
4. Analyze fluid motion using the differential analysis: Velocity and acceleration fields, linear and angular motion and deformation, differential form of the continuity equation (Cartesian and polar forms), stream function, potential function.
5. Formulate equations for heat and momentum transport using partial derivatives, multivariable functions, differentials, the chain rule for multivariable functions, directional derivatives.
6. Development of mathematical skills: (i) the mathematical formulation of engineering transport problems and corresponding analytical solution strategies(ii) Handling of differential operators in vector calculus and coordinate systems important for engineering applications.

Course Learning Outcomes:

1. Identify and explain the major cellular processes in prokaryotes and eukaryotes.
2. Describe the interrelationships between organisms and their environments.
3. Identify and describe the relationship between structure and function on a molecular cellular and organismal level.
4. Identify a range of fields where biological systems are being applied to solve engineering problems and discuss the most recent advances in each field as well as the strengths and limitations of each approach.
5. Explain a variety of advanced molecular and cellular biology techniques used for the characterization and manipulation of micro-organisms, with applications in medicine, industry, and the environment."
6. Demonstrate laboratory skills and expertise with microbiological techniques.

Course Learning Outcomes:

1. Analyze electrical circuits utilized in analytical chemistry instrumentation.
2. Compare electrical power designs related to energy conversion and storage.
3. Analyze analog and digital signals.
4. Select transducers for temperature, light, pressure, flow and conductivity measurements.
5. Calculate uncertainty from measured data sets.
6. Apply statistical methods to single and derived data sets.
7. Design an experimental procedure and analytical instrument to obtain data required to solve a given problem.

Course Learning Outcomes:

1. Describe how technical innovation arises from advances in knowledge and the motivation of necessity or opportunity.
2. Identify problems and generate ideas using design and systems thinking tools.
3. Identify how to take an innovation to commercialization using a structured design process, including appropriate strategies for protecting the strategic advantage of intellectual property.
4. Identifying time, risk, and capital scales for a technological innovation.
5. Communicate the value of technical innovation to stakeholders and develop social acceptance to operate for ventures.
6. Design business models using the business model canvas framework.

Course Learning Outcomes:

1. Identify and understand the principles of chemical equilibrium thermodynamics to solve multiphase equilibria and chemical reaction equilibria.
2. Analyze the conditions associated with ideal and non-ideal vapour-liquid systems at equilibrium through the construction and interpretation of phase diagrams for ideal and non-ideal binary mixtures.
3. Use empirical correlations and experimental data to evaluate thermodynamic quantities that relate to the vapour-liquid or liquid-liquid equilibria of ideal and non-ideal chemical mixtures.
4. Determine equilibrium constants for chemical reactions and equilibrium point compositions for multiple reaction systems.
5. Solve single and multistage separation processes involving non-ideal chemical mixtures using numerical methods and simulations and recommend appropriate operating conditions.

Course Learning Outcomes:

1. Demonstrate proficiency in operation and control of process and analytical equipment.
2. Demonstrate engineering judgment and an awareness of the nature and magnitude of physical and chemical effects and factors, as well as errors and uncertainties.
3. Collect and interpret data to draw meaningful conclusions and evaluate the strengths, weaknesses and limitations of current chemical engineering theory.
4. Write concise, coherent, and grammatically correct lab reports that reflect critical analysis and synthesisDeliver clear and organized formal oral presentations.
5. Demonstrate effective independent learning, initiative, originality and creativity in completion of pre-lab preparation and other tasks.
6. Work effectively as group member and demonstrate good leadership skills when team leader, adopting a professional approach during all project phases.
7. Document and follow appropriate safety protocols.

Course Learning Outcomes:

1. Develop ordinary differential equation models to describe process dynamic behaviour, using fundamental material and energy balances, and constitutive relationships.
2. Identify nonlinearity in model equations, and linearize appropriately.
3. Derive transfer function models from process models and process data.
4. Identify important dynamic features of single-input single-output (SISO) and multi-input multi-output (MIMO) linear dynamical systems.
5. Apply modern control theory to design controllers for uncertain SISO linear dynamical systems.
6. Explain the trade-offs in performance that arise in the design of a controller.
7. Analyze the frequency response behaviour of a process (using Nyquist and Bode approaches), and use this information to design controllers.
8. Determine when to use controller enhancements such as the internal model principle and feedforward control, and design such enhancements.

Course Learning Outcomes:

1. Formulate expressions for extent of reactions for multiple reversible and irreversible reactions. Use stoichiometry and thermodynamics to analyze the effect of temperature, pressure, and concentrations on equilibrium conditions. Apply the quasi steady-state assumption, thermodynamic equilibrium assumption, and rate limiting assumptions to develop overall reaction rate expressions and production rate expressions.
2. Develop mass and energy balances for ideal isothermal reactors to decide on reactor operation parameters. Evaluate the impact of parameters on conversion, selectivity, and/or yield.
3. Develop mass and energy balances for ideal non-isothermal reactors to decide on reactor operation parameters. Evaluate the impact of parameters on conversion, selectivity, and/or yield.
4. Understand and evaluate the impacts of transport phenomena limitations on the modeling, operation, and performance of chemical reactors.
5. Decide on appropriate reactor type and operating conditions to achieve desired conversion, selectivity, and/or yield.

Course Learning Outcomes:

1. Apply rate determining step, steady state hypothesis, and material balance equations appropriately to derive rate expressions from reaction coordinate diagrams and/or mechanisms for ionic, radical, and catalytic reaction networks.
2. Integrate principles of chemical thermodynamics, reaction kinetics, interfacial mass transfer and diffusional mass transfer to develop mathematical models of multi‐phase reactors.
3. Design catalytic reactors to meet productivity targets from provided kinetic and thermodynamic data.

Course Learning Outcomes:

1. Devise methodologies for quenching reaction mixtures and isolating target molecules, including appropriate use of liquid-liquid extraction, distillation, chromatography, recrystallization and trituration.
2. Design multistep reaction sequences leading to the synthesis of organic molecules containing up to three functional groups.
3. Evaluate organic syntheses taken from the scholarly and patent literature on aspects of process safety, environmental impact, economics and operability.
4. Compare pathways for the synthesis of an organic molecule based on process safety, environmental impact, economics and operability.
5. Depict multi-step organic processes using appropriate block flow diagrams.

Course Learning Outcomes:

1. Identify mechanisms of heat and mass transfer in order to formulate rate equations.
2. Develop transport models based on the differential equations of heat and mass transfer and their simplified forms in order to identify suitable boundary conditions.
3. Solve the differential equations for steady-state, one-dimensional problems and non-steady state problems.
4. Estimate heat and mass transfer coefficients based on dimensional analysis, boundary layer analysis and similarity between momentum, heat and mass transfer.
5. Solve problems involving convective heat and mass transfer in one phase and two-phase systems.

Course Learning Outcomes:

1. Development of engineering science knowledge on separation processes (distillation, absorption/stripping, extraction) and heat transfer processes (heat exchangers).
2. Application of engineering science knowledge to size separation process equipment and heat exchangers.
3. Development of competency in constructing process flow and P&I diagrams.
4. Implementation of process instrumentation and simple control loops, as well as safety instrumentation.
5. Development of competency in using engineering tools, such as Excel spreadsheets and Mathcad to perform engineering calculationsImplementation of process simulation software, such as Aspen HYSYS to simulate separation processes.
6. Demonstrate the ability to provide accurate, comprehensive, objective technical opinions and recommendations, including the choice of appropriate processes and the development of documentation, such as equipment specifications, process flow diagrams and P&IDs.
7. Identification of process hazards through process hazards analysis and incorporation elements of safety on all aspects of the design.
8. Estimation of capital and utility costs, using appropriate costing toolsProcess optimization based on cost considerations.
9. Effective group work, including reflection of group work, while adopting a professional approach during all project phases.

Course Learning Outcomes:

1. Describe the organization of cells, proteins and macromolecules into tissues and organs as well as the function of major organ systems within the body, including the cardiovascular, musculoskeletal, renal and immune systems.
2. Analyze and solve problems involving transport phenomena in the body in the context of the design and application of biomedical devices for the treatment of injury and disease.
3. Apply the principles of mechanics to competently analyze gross movement of the human body.
4. Apply the principles of materials properties and engineering for the design and application of biomedical devices.
5. Apply the principles of cell biology and engineering for the design and application of tissue engineering, bioreactors and regenerative medicine.

Course Learning Outcomes:

1. Describe the role of microorganisms in processes such as biofilm formation, biocorrosion, mineral leaching, composting, clean drinking water.
2. Explain how environmental conditions can be manipulated to enhance or retard the above processes.
3. Summarize the significance of the biorefinery concept and explain how plant biomass can be converted to fermentable substrates and subsequently microbially transformed into biochemicals, biopolymers and biofuels.
4. Critically analyze relevant journal articles and investigate industrial application of the above concepts.

Course Learning Outcomes:

1. Critically evaluate written material, including scholarly sources.
2. Present concise, coherent, and grammatically correct materials (written and oral) that reflect critical analysis and synthesis, and appropriately address the needs of the audience.
3. Create accurate and complete technical graphics to explain, interpret, and assess information.
4. Deliver formal and informal oral presentations with appropriate language, style, timing, and flow.
5. Apply principles of engineering ethics and equity to issues encountered during engineering practice.
6. Analyze social and environmental aspects of engineering activities.

Course Learning Outcomes:

1. Define and explain the concepts of Electrical Potential, Electrical Field, Electrostatic Work, Voltage, Current, Electrochemical Potential, Activation Energy, Electrode & Electrochemical Equilibrium.
2. Formulate and calculate relevant transport phenomena such as migration and the characteristics of (diluted) electrolytesRelate the conversion of matter to the transport of electrical charge.
3. Evaluate the potential of electrochemical systems based on thermodynamic data and the concept of half-cellsApply electrical circuit elements to model electrochemical systems in order to calculate energy balances and to estimate efficiencies.
4. Apply knowledge of electrokinetic phenomena to design microfluidic unit operations.
5. Use of technical measures to characterize properties of galvanic elements and capacitors.
6. Demonstrate fundamental knowledge of major industrial electrochemical processes and electrochemical reactor design including economic and environmental considerations.

Course Learning Outcomes:

1. Identify environmental and human health issues related to waste treatment processes.
2. Determine the parameters necessary to characterize waste streams and processes associated with their physical, biological and chemical treatment.
3. Analyze waste streams design appropriate process flow diagrams and estimate appropriate size of unit operations required to meet applicable standards.
4. Apply sound engineering principles to evaluate and select appropriate abatement strategies and treatment methods to specific case studies.
5. Justify selected waste treatment strategies and analyze their strengths and limitations with respect to current guidelines, standards and regulations.

Course Learning Outcomes:

1. Design culture medium based on nutritional requirements of microbial cells.
2. Specify design criteria for medium sterilization and solve problems involving both batch and continuous sterilization.
3. Apply the principles of microbial growth kinetics in bioreactors.
4. Simulate and evaluate bioreactor performance.
5. Apply mass and heat transfer correlations to bioreactor design.
6. Design a complete bioreactor based on targets, constraints and physical properties.
7. Identify suitable process instrumentation for monitoring and control of bioreactors.
8. Know and select process unit operations for product recovery and purification.

Course Learning Outcomes:

1. CLOs coming soon; please refer to your course syllabus in the meantime.

Course Learning Outcomes:

1. Identify the knowledge/skills required, evaluate available literature, and design experiments and/or develop methodology to meet the project objective(s) safely and efficiently.
2. Apply appropriate engineering techniques, tools, and processes to accomplish the task.
3. Synthesize information from experimentation, investigation, and literature to reach substantiated conclusions.
4. Describe nature and possible causes of uncertainty in analysis, interpretation, and measurement.
5. Generate a traceable and defensible record of the project using an appropriate project records system.
6. Write and revise technical memos and reports to communicate intentions and findings using appropriate conventions and concise precise and clear language.
7. Demonstrate confidence in formal and informal oral communications with supervisor and colleagues.
8. Document and follow appropriate safety protocols to meet the project objective(s) safely.

Course Learning Outcomes:

1. Describe how technical innovation arises from advances in knowledge and the motivation of necessity or opportunity.
2. Identify problems and generate ideas using design and systems thinking tools.
3. Demonstrate how to take an innovation to commercialization using a structured design process, including appropriate strategies for protecting the strategic advantage of intellectual property
4. Identifying time, risk, and capital scales for a technological innovation.
5. Communicate the value of technical innovation to stakeholders and develop social acceptance to operate for ventures.
6. Design business models using the business model canvas framework.

Course Learning Outcomes:

1. Identify transport properties and analyze the mechanisms of molecular momentum energy and mass transport.
2. Select locate and orient coordinate systems for transport phenomena problems including rectangular and curvilinear.
3. Formulate the differential forms of the equations of change for momentum heat and mass transfer problems for steady state and unsteady flows.
4. Create original solutions to fluid flow heat transfer and mass transfer problems and solve problems combining these transport phenomena.

Course Learning Outcomes:

1. Analyze global and Canadian energy and hydrocarbon supply and demand within the business and geopolitical context of the industry, current business issues, including taxes and incentives, environmental regulations and policy—including water use and CO2 emissions.
2. Examine, distinguish, and relate the six elements of a working hydrocarbon (HC) system , and recognize the geological controls of each element.
3. Analyse how these geological controls underpin the techniques used for HC exploration and reservoir characterization.
4. Apply Chemical Engineering principles to design appropriate equipment and facilities for the drilling, completion and production of oil and gas wells.
5. Assess the role of horizontal well drilling technology along with both the development of multi-stage hydraulic fracturing and SAGD, and the impact on the production of hydrocarbons in North America. Critique the environmental impacts of these technologies.
6. Appraise the different methods for how heavy oil and bitumen are produced, processed and transported along with the environmental issues involved.
7. Assess how to optimize regional refinery and gas plant flow plans through an understanding of supply chain systems including pipelines, rail, trucking and ocean tankers in respect to both crude oil, products, natural gas and LNG.
8. Recognize the different technical roles in the oil and gas industry and describe the main functions of various careers in relation to exploration, production, processing or business processes through weekly guest lectures.

Course Learning Outcomes:

1. Demonstrate proficiency in operation and control of process and analytical equipment.
2. Demonstrate engineering judgment and an awareness of the nature and magnitude of physical and chemical effects and factors, as well as errors and uncertainties.
3. Collect and interpret data to draw meaningful conclusions and evaluate the strengths, weaknesses and limitations of current chemical engineering theory.
4. Demonstrate effective independent learning, initiative, originality and creativity in completion of pre-lab preparation and other tasks.
5. Work effectively as group member and demonstrate good leadership skills when team leader, adopting a professional approach during all project phases.
6. Document and follow appropriate safety protocols.

Course Learning Outcomes:

1. Assess the existence of systematic relationships between variables using appropriate graphical and quantitative techniques.
2. Estimate empirical models between variables using statistical model building and machine learning techniques including multiple linear and non-linear regression.
3. Assess the quality of estimated models using graphical and quantitative techniques.
4. Evaluate and interpret estimated models taking into account sources of uncertainty and variability.
5. Propose programs of experimental investigation taking into account the goals and context of the investigation, screen and prioritize process variables using 2-level factorial designs, and higher-order experimental designs.

Course Learning Outcomes:

1. Demonstrate proficiency in operation and control of process and analytical equipment.
2. Demonstrate engineering judgment and an awareness of the nature and magnitude of physical and chemical effects and factors, as well as errors and uncertainties.
3. Collect and interpret data to draw meaningful conclusions and evaluate the strengths, weaknesses, and limitations of current chemical engineering theory.
4. Write concise, coherent, and grammatically correct lab reports that reflect critical analysis and synthesis. Deliver clear and organized formal oral presentations.
5. Demonstrate effective independent learning, initiative, originality, and creativity in completion of pre-lab preparation and other tasks.
6. Work effectively as group member and demonstrate good leadership skills when team leader adopting a professional approach during all project phases.
7. Document and follow appropriate safety procedures.
8. Design appropriate experimental protocol to reach substantiated conclusions.

Course Learning Outcomes:

1. Identify the knowledge skills required evaluate available literature and design experiments and/or develop methodology to meet the project objectives safely and efficiently.
2. Apply appropriate engineering techniques tools and processes to accomplish the task.
3. Synthesize information from experimentation investigation and literature to reach substantiated conclusions.
4. Describe nature and possible causes of uncertainty in analysis interpretation and measurement.
5. Generate a traceable and defensible record of the project using an appropriate project records system.
6. Write and revise technical memos and reports to communicate intentions and findings using appropriate conventions and concise precise and clear language.
7. Demonstrate confidence in formal and informal oral communications with supervisor and colleagues.

Course Learning Outcomes:

1. CLOs coming soon; please refer to your course syllabus in the meantime.

Course Learning Outcomes:

1. Recognize the importance of modeling errors and uncertainties in controller design.
2. Apply modern control theory to design a controller for uncertain SISO and MIMO linear dynamical systems.
3. Understand the tradeoff in performance that arise in the design of a controller.

Course Learning Outcomes:

1. Explain the physiological routes of absorption for drugs and the advantages and limitations of each route.
2. Describe and mathematically analyze the absorption, distribution, and elimination of drugs from various dosage forms.
3. Analyze and solve problems involving unit operations in the context of the design and manufacture of tablets, capsules, solutions, suspensions and emulsions.
4. Describe the ethics, safety and regulatory standards around manufacture and regulatory approval of pharmaceutical products.

Course Learning Outcomes:

1. Identify transport properties and analyze the mechanisms of molecular momentum, energy and mass transport.
2. Select, locate and orient coordinate systems for transport phenomena problems (including rectangular and curvilinear).
3. Formulate the differential forms of the equations of change for momentum, heat and mass transfer problems for steady‐state and unsteady flows.
4. Create original solutions to fluid flow, heat transfer and mass transfer problems.
5. Develop original solutions to fluid flow in compliant and oscillatory systems.
6. Create original solutions to combined fluid flow and heat transfer, heat and mass transfer and fluid flow and mass transfer problems.
7. Understand and appreciate physiology of the pulmonary, cardiovascular, and renal systems and how they can be modeled.

Course Learning Outcomes:

1. Explain the origin of “long‐range’, non‐covalent colloidal forces (van der Waals, electrostatic, etc.) and preparation of quantitative DLVO and XDLVO plots for a number of colloidal systems using the proper mathematical models.
2. Explain the link between liquid surface tension and contact angle, and demonstrate how certain experimental techniques can be used for the assessment of liquid surface tension (or, equivalently, surface energy of solids).
3. Apply knowledge on thermodynamics of micellization in surfactant solutions describe the influence of physical variables such as temperature, molecular structure of surfactant, and solvent characteristics on parameters such as critical micellization concentration (CMC), association number, micelle structure, etc.
4. Describe the thermodynamics of emulsion formation and calculate the kinetic and thermodynamic stability of such emulsions.
5. Calculate adsorbate concentration and area per molecule on a solid surface using various adsorption models.
6. Design colloidal systems or engineered surfaces of high industrial or technological interest (liquid detergents, nanocomposites, eco‐paints, superhydrophobic materials, etc.)
7. Explain the interactions between colloids and visible light, as well as the principles of static and dynamic light scattering.

Course Learning Outcomes:

1. Utilizes knowledge of thermodynamics, electrochemistry and electrical circuits to analyze and design power generation and energy systems.
2. Analyzes the influence of thermodynamic, equilibrium and second law limitations on the overall efficiency of power generation systems.
3. Considers technical, financial, social, environmental and legal factors, safety and sutainability issues when solving engineering problems.
4. Develops equipment specifications, process or product design incorporating performance requirements and constraints such as quality, yield, reliability, economics, safety and standards and codes as appropriate.

Course Learning Outcomes:

1. Apply project management tools (work breakdown structures, activity lists, network diagrams, Gantt diagrams) to distribute project workload amongst team members and facilitate the timely completion of course deliverables.
2. Develop a Process Hazard Analysis (hazard identification, hazard evaluation, consequences analysis and risk analysis) from a P&ID of a unit operation and formulate recommendations for mitigating identified risks.
3. Assess a process design from the standpoint of sustainability, environmental stewardship and applicable regulations / standards.
4. Conduct a design review of a process flow diagram to identify performance limitations, health and safety issues, operational inefficiencies and unnecessary costs.
5. Identify gaps in knowledge needed to revise unit operations and develop an experimental program to acquire the necessary data.
6. Use MATLAB (or similar) to simulate the dynamics of unit operation, and HYSYS (or similar) to simulate steady state conditions of a continuous process element, while recognizing the limitations of process modelling approaches and software.
7. Develop capital and operating cost estimates for proposed process revisions and formulate recommendations for improving process safety and economics.
8. Generate concise technical reports using appropriate terminology and documentation, with particular emphasis on the correct application of PFD and P&ID conventions.

Course Learning Outcomes:

1. N/A

Course Learning Outcomes:

1. CLOs coming soon; please refer to your course syllabus in the meantime.

Course Learning Outcomes:

1. Classification of polymers, identification of their physical properties and establishing structure-property relations.
2. Formulation of polymeric compounds to meet specific product properties.
3. Knowledge of polymer processing operations and choice of operation depending on the material and final product requirements.
4. Interpretation and analysis of rheological data using models for non-Newtonian fluids.
5. Identification of methods for rheological measurements and analysis of the results.
6. Solution of simple flow problems and calculations in extrusion and injection molding.