Course Learning Outcomes:

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

Course Learning Outcomes:

1. Create and use quantitative models to analyze systems
2. Define and deconstruct a complex engineering problem. 
3. Generate and evaluate multiple alternatives, supporting chosen approach.
4. Design, implement, and evaluate a simple prototype.
5. Evaluate performance of design relative to specifications and theoretical predictions.
6. Identify, organize, and critically evaluate information from an appropriate range of sources.
7. Takes initiative to plan, organize, and complete task as an individual and team member, in order to meet goals.
8. Seek and integrate diverse and alternative viewpoints, including Indigenous perspectives where applicable, in decision-making.
9. Provides effective feedback to peers.
10. Produce clear, concise, precise and well-organized written communication with language appropriate for the audience.
11. Produce graphical elements that are generally well designed, and support the main purpose.
12. Describes how safety is integral to producing effective solutions from start to finish.
13. Integrate appropriate standards, codes, legal and regulatory factors throughout design activities.
14. Incorporate concepts of sustainable design and development into engineering activities.
15. Identify and resolve potential ethical issues using ethical principles and codes.
16. Intentionally incorporate principles of fairness, access and opportunity into decision making.
17. Evaluate and reflect on own knowledge, skills and learning.

Course Learning Outcomes:

1. Appraises the validity of conclusion relative to the degrees of error and limitations of theory and measurement.
2. Designs investigations involving information and data gathering, analysis, and/or experimentation.
3. Follows safety protocol in a laboratory environment.
4. Generates ideas and working hypothesis when presented a research question.
5. Synthesizes data and information to reach conclusion.
6. Uses basic experimental equipment.

Course Learning Outcomes:

1. Work effectively and harmoniously with different learning styles and personalities.
2. Apply project management principles and concepts (budgeting time and money, project planning, organizing meetings) to planning, implementing and delivering a client project.
3. Develop a process that follows established design principles, to generate a solution to a practical problem provided by a client.
4. Apply principles of science, math and engineering to analyze and generate solutions to complex problems.
5. Locate, evaluate, and effectively use information in technical communications.
6. Communicates concisely, articulately and effectively using a variety of mediums (Technical writing, Presentations, Graphics, Formal and Informal communications).
7. Broadly describe the roles of an engineer and their responsibility and impact on society.

Course Learning Outcomes:

1. Utilize and apply vector quantities in components or magnitude and direction, including scalar and vector products.
2. Apply first principles of kinematics to determine the motion in 1, 2 and 3 dimensions of pointlike objectsApply the concept of relative velocity, and vector addition of motion.
3. Calculate and describe behaviour of rotating objects in a plane through rotational kinematics, including the concept of centripetal acceleration.
4. Determine the resultant acceleration due to forces using free body diagrams, and work with specific forces such as springs, gravity and friction.
5. Compute work done by a force, and describe the consequent changes in kinetic energyIdentify conservative forces and their effect on potential energy, and apply first principles to solve dynamics problems using conservation of energy principles.
6. Describe the concepts linear impulse and linear momentum, and conservation of linear momentum, and apply these principles to calculate the motion of (pointlike) objects undergoing elastic and inelastic collisions.
7. Determine the centre of mass of a system, for both discrete points and distributed objects.
8. Analyze the dynamics of rigid bodies rotating in a plane referencing the concepts of torque and rotational kinetic energyCalculate the moment of inertia of rigid bodies, and translate it using the parallel axis theorem.
9. Describe and calculate mechanical equilibrium of a system using first principles (sum of forces and torques) to solve two-dimensional statics problems.

Course Learning Outcomes:

1. Calculate and describe the motion of systems in simple harmonic motion such as mass-spring systems and simple pendulums.
2. Describe and calculate the motion of transverse and longitudinal waves, and work with basic wave phenomena such as superposition, reflection, standing waves, beats and the Doppler effect.
3. Calculate the electric field due to discrete charges and, using integrals calculate the electric fields due to continuous charge distributions.
4. Calculate electric potential energy and electric potential for discrete and continuous charge distributions.
5. Understand the behaviour of current in circuits, and calculate currents and potentials in simple DC circuits.
6. Understand and describe magnetic fields. Calculate forces and torques on particles and loops in a magnetic field.
7. Understand the sources of magnetic fields, and calculate the magnetic fields produced by current carrying wires.
8. Understand and describe magnetic induction, and calculate electromotive forces in circuits due to changing magnetic flux.

Course Learning Outcomes:

1. Calculate and describe the motion of systems in simple harmonic motion such as mass-spring systems and simple pendulums.
2. Describe and calculate the motion of transverse and longitudinal waves, and work with basic wave phenomena such as superposition, reflection, standing waves, beats and the Doppler effect.
3. Calculate the electric field due to discrete charges and, using integrals calculate the electric fields due to continuous charge distributions.
4. Calculate electric potential energy and electric potential for discrete and continuous charge distributions.
5. Understand the behaviour of current in circuits, and calculate currents and potentials in simple DC circuits.
6. Understand and describe magnetic fields. Calculate forces and torques on particles and loops in a magnetic field.
7. Understand the sources of magnetic fields, and calculate the magnetic fields produced by current carrying wires.
8. Understand and describe magnetic induction, and calculate electromotive forces in circuits due to changing magnetic flux.

Course Learning Outcomes:

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

Course Learning Outcomes:

1. Categorize groups of elements in the periodic table related to physical properties.
2. Differentiate between the different structures of atoms and molecules.
3. Describe molecular interactions in relation to material properties (solids, liquids, gases).
4. Describe how the chemical structure of crystalline solids (metallic, ionic, covalent, molecular) and amorphous solids (glasses, polymers) lead to their engineering properties.
5. Apply knowledge of structure/property relationships to select appropriate engineering materials.
6. Define an appropriate system boundary and apply the 1st Law to closed and open systems.
7. Use the 2nd laws of thermodynamics to describe processes involving changes in internal energy, enthalpy, and entropy (efficiency in relation to natural systems, spontaneity).
8. Apply knowledge of the chemistry of natural and engineered systems to solve problems related to society’s pursuit of the United Nations Sustainable Development Goals (SDGs).

Course Learning Outcomes:

1. Apply knowledge of the chemistry of natural and engineered systems to solve problems related to society’s pursuit of the United Nations Sustainable Development Goals (SDGs).
2. Describe phase changes of pure substances and binary mixtures using phase diagrams and simple thermodynamic equilibrium equations.
3. Apply equilibrium thermodynamic concepts to quantify the state of reversible reaction systems, including acid/base and redox processes.
4. Formulate differential and integrated kinetic rate equations to describe the dynamics of elementary reactions and their sequences.
5. Identify heat and mass transfer mechanisms and apply appropriate constitutive models (Fick’s Law, Fourier’s Law) to describe diffusive transport.
6. Describe and apply equilibrium electrochemistry principles, including half-cell reactions, standard cell potentials, and the Nernst equation to describe galvanic and electrolytic cells as well as corrosion phenomena.

Course Learning Outcomes:

1. Demonstrate fundamental concepts of chemistry such as stoichiometry, chemical reaction balancing and solution concentration calculations.
2. Describe the concepts of chemical equilibrium and conduct calculations related to equilibrium constants and reaction quotients. Apply chemical equilibrium to thermodynamic properties.
3. Classify the relative strength of an acid/base, calculate acid/base ionization constants and examine typical acid base reactions.
4. Summarize the behaviour of gases, distinguish between various gas laws and use these laws to solve gas related problems.
5. Explain the laws of thermodynamics, summarize thermodynamic properties of ideal gases, and use these laws to solve mass and energy related problems.
6. Describe the fundamentals of reaction rates and rate laws.
7. Define oxidation-reduction reactions and balance redox reactions.
8. Name various representations of organic compounds structures, determine the differences between various functional groups.
9. Prepare a letter of intent, improve communication and teamwork abilities, and enhance presentation skills.

Course Learning Outcomes:

1. Describe computational machinery and the relation between computer hardware and software.
2. Translate complex problems into programmatic flow charts. Convert flow charts into programs.
3. Declare and initialize variables of various types and apply them within coded expressions translated from symbolic equations.
4. Translate logical statements to coded conditional statements and create: if, if/else, chained if/else, and switch/case structures.
5. Construct program sequences as well as achieve looped statements using for, while, and do/while repetition structures.
6. Analyze real-life engineering problems and create code to achieve solutions while following a systematic approach.
7. Use proper coding techniques for syntax, indentation, commenting, and variable naming.
8. Implement debugging strategies to detect, find, and rectify programming errors.

Course Learning Outcomes:

1. Correctly index 1D and 2D arrays for assigning and returning element values.
2. Declare and initialize strings and utilize string functions to manipulate string elements.
3. Reproduce simple algorithms for searching and sorting 1D arrays, and arrays of strings.
4. Utilize pointers to access memory addresses and implement the basics of memory allocation and management.
5. Simplify programs using functions with pass-by-value and pass-by reference inputs and set variable scopes appropriately.
6. Analyze real-life engineering problems and create code to achieve solutions while following a systematic approach.
7. Automate requirements testing by writing effective unit and functional tests.
8. Identify common insecure coding practices and apply mitigations.
9. Use proper coding techniques for syntax, indentation, commenting, and variable naming.
10. Implement debugging strategies to detect, find, and rectify programming errors.

Course Learning Outcomes:

1. Describe computational machinery and the relation between computer hardware and software.
2. Declare and initialize variables and arrays (1D and 2D) of various types and apply them within coded expressions translated from symbolic equations.
3. Translate logical statements to coded conditional statements and create: if, if/else, chained if/else, and switch/case structures.
4. Construct program sequences as well as achieve looped statements using for‚ while, and do/while repetition structures.
5. Correctly index 1D and 2D arrays for assigning and returning element values.
6. Declare and initialize strings and utilize string functions to manipulate string elements.
7. Reproduce simple algorithms for searching and sorting 1D arrays, and arrays of strings.
8. Utilize pointers to access memory addresses and implement the basics of memory allocation and management.
9. Simplify programs using functions with pass-by-value and pass-by-reference inputs and set variable scopes appropriately.
10. Develop functions that can be used recursively to efficiently solve programming problems.
11. Analyze real-life engineering problems and create code to achieve solutions while following a systematic approach.
12. Use proper coding techniques for syntax, indentation, commenting, and variable naming.
13. Implement debugging strategies to detect, find, and rectify programming errors.
14. Work effectively as a team member to complete an Engineering programming project.

Course Learning Outcomes:

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

Course Learning Outcomes:

1. Visualize the components of the Earth System and understand the evolution of, and interactions between the Geosphere, Hydrosphere, Atmosphere and Biosphere.
2. Describe and differentiate processes of change within the mantle, the crust and on surface in the context of Earth History and the Evolution of Life.
3. Characterize, classify, identify fundamental minerals and igneous rocks (primary materials) and their engineering properties.
4. Characterize, classify, identify fundamental minerals and igneous rocks (primary materials) and their engineering properties.
5. Characterize, classify, identify ongoing processes including deformation, tectonics, weathering, erosion, deposition and glaciation and their impacts on the past, current and future.
6. Associate societal needs with and human impact on the Earth System.
7. Associate geological processes and history with engineering properties of geo-materials.
8. Assess challenges related to surficial engineering geology and ongoing geological, processes including groundwater, geotechnical construction, surface mining and natural hazards.
9. Assess geological challenges related to underground engineering including tunnelling, waste storage and mining.
10. Associate geological systems with mineral and energy resources and compare impact of key conventional and alternative energy sources.
11. Explore the complexities of the mineral resource cycle from discovery, to economic assessment, mining, processing, utilization and recycling.
12. Develop design alternatives based on georisk, environmental impact and earth material availability.
13. Construct a framework for the life cycle management of engineering materials derived from the Earth.
14. Classify, Analyze and Interpret geological structure in order to Interpolate and Extrapolate 3D structural model from 2D surficial data.
15. Assess GeoRisk from natural and constructed hazards involving the Earth System and Earth Materials and provide mitigation options.
16. Identify the stakeholders in a mining project, and analyze their value systems and objectives. Propose how your analysis could inform technical decision-making.
17. Describe key concepts in applied sustainability, particularly with respect to engineering design criteria in relation to the Earth System and Society.
18. Understand and Personify the expectations associated with Engineering Practice.
19. Follow established procedures and policies for workplace health and safety.
20. Establish an atmosphere of inclusion and equity within work teams.

Course Learning Outcomes:

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

Course Learning Outcomes:

1. Sketch freehand orthographic views of object from isometric view.
2. Sketch freehand an isometric view by visualizing object from orthographic views.
3. Sketch an auxiliary view from orthographic views.
4. Sketch freehand a section view from orthographic views.
5. Demonstrate knowledge of dimensioning, tolerancing, and other drawing conventions.
6. Demonstrate knowledge of using solid-modelling CAD software.
7. Design a product satisfying specified constraints.

Course Learning Outcomes:

1. Constructs mathematical descriptions or expressions to model a real-world problem.
2. Uses an appropriate derivative-related tool to solve a mathematical problem that arises from modeling a real-world problem.
3. Uses an appropriate integral-related tool to solve a mathematical problem that arises from modeling a real-world problem.
4. Uses an appropriate differential equation solution technique or numerical method to solve a mathematical problem that arises from modeling a real-world problem.
5. Selects and describes appropriate numerical methods to solve mathematical problems that arise from modeling a real-world problem.
6. Uses solution to mathematical problems to inform the real-world problem that gave rise to it.

Course Learning Outcomes:

1. Use an appropriate derivative-related method in two or three dimensions to solve a mathematical problem that arises from modeling a real-world problem.
2. Construct and use power-series representations as alternative function representations and as function approximations.
3. Use an appropriate integral-related method in two or three dimensions to solve a mathematical problem that arises from modeling a real-world problem.

Course Learning Outcomes:

1. Solve parametrized and unparametrized systems of linear equations using Gaussian elimination and back substitution by applying elementary row operations on an augmented matrix; for parametrized systems also determine the number of solutions as a function of the parameter.
2. Perform basic matrix algebraic operations (addition, scaling, multiplication), and compute and utilize properties of the determinant of a real n x n matrix (including using it to assess whether a matrix is invertible).
3. Explain the mathematical concept of a real vector space, and determine whether a given subset of a vector space is a vector subspace by working with both the usual Euclidean space Rn and other vector spaces.
4. Demonstrate an understanding of linear combination, linear dependence, linear span, basis and dimension by: i) determining whether a given vector in is the linear span of a family of vectors and whether that family of vectors is linearly independent, ii) computing a basis for a given vector space and its dimension.
5. Define a linear mapping between vector spaces and determine if a given mapping is linear.
6. Define the kernel and image of a linear mapping, compute them for a given real matrix, and explain how they are related to the column vectors of that matrix.
7. Define eigenvalues, eigenspaces and eigenvectors for a given vector space endomorphism and compute them for a real n x n matrix.
8. Prove linear algebraic results for general vector spaces with mathematical reasoning and in precise mathematical language, combining concepts such as vector subspaces, linear span, linear independence, linear mapping, and eigenvalues/eigenspaces/eigenvectors.

Course Learning Outcomes:

1. Interpret derivative-related methods in one variable to examine engineering phenomena.
2. Interpret integral-related methods in one variable to examine engineering phenomena.
3. Develop functions of two or three variables to describe and assess engineering phenomena.
4. Perform differential operations on functions of two or three variables to examine engineering phenomena.
5. Apply integral methods for functions of two or three variables to examine engineering phenomena.
6. Use differential and integration methods to make engineering design choices.

Course Learning Outcomes:

1. Draw free-body diagrams.
2. Identify equations of equilibrium.
3. Solve trusses.
4. Calculate internal forces.
5. Create shear force and bending moment diagrams.
6. Solve a frame.
7. Evaluate stresses and strains.
8. Calculate displacements.

Course Learning Outcomes:

1. Organize and present technical information in a professional context.
2. Demonstrate the correct use and choice of technical vocabulary.
3. Use correct grammar, sentence structure and syntax, word order, paragraph structure, formality, and tone to address and sign off on a letter adhering to academic writing conventions needed for a professional report.
4. Demonstrate how to report relevant information and when to discard unnecessary details.
5. Build listening comprehension skills.

Course Learning Outcomes:

1. Apply information research, assessment, and management concepts in engineering design.
2. Design creative solution(s) for open-ended, complex problems, applying engineering principles and theories from other disciplinary courses where applicable.
3. Apply design processes and tools for problem definition, idea generation and decision making.
4. Make design decisions using financial factors, environmental factors, social factors, and public interests.
5. Consider equity, diversity, inclusion and indigenization during the design process.
6. Incorporate the core principles of project management into the development. of design solutions (including frameworks, objectives, scheduling, work breakdown, milestones, and life cycle)
7. Discuss engineering as a regulated profession, including reference to relevant .engineering regulations/codes/standards, ethics, equity, health and safety
8. Discuss professional/technical associations in engineering and discipline.
9. Discuss the role of ethics in a project with reference to real world engineering applications.
10. Demonstrate effective teaming skills.
11. Demonstrate ability to identify and to address personal educational needs.

Course Learning Outcomes:

1. Apply information research, assessment, and management concepts in engineering design.
2. Design creative solution(s) for open-ended, complex problems, applying engineering principles and theories from other disciplinary courses where applicable, to generate a solution to a practical problem provided by a client.
3. Apply design processes and tools for problem definition, idea generation and decision making.
4. Make design decisions using financial factors, environmental factors, social factors, and public interests.
5. Consider equity, diversity, inclusion, and indigenization during the design process.
6. Incorporate the core principles of project management into the development of design solutions (including objectives, scheduling, work breakdown, milestones, and client meetings) to plan, implement and deliver a client project.
7. Discuss engineering as a regulated profession, and the roles of an engineer and their responsibility and impact on society.
8. Discuss professional/technical associations in engineering and discipline including reference to relevant engineering regulations/codes/standards, ethics, equity, health, and safety.
9. Discuss the role of ethics in a project with reference to real world engineering applications.
10. Demonstrate effective teaming skills to work harmoniously with different learning styles and personalities.
11. Demonstrate ability to identify and to address personal educational needs.
12. Use math and science, and engineering science principles to simulate, analyze, and model real world problems.

Course Learning Outcomes:

1. Design creative solution(s) for open-ended, complex problems, applying engineering principles and theories from other disciplinary courses where applicable .
2. Use math and science, and engineering science principles to simulate, analyze, and model real world problems. 
3. Incorporate the core principles of project management into the development of design solutions (including frameworks, objectives, scheduling, work breakdown, milestones, and life cycle) .
4. Discuss engineering as a regulated profession, including reference to relevant engineering regulations/codes/standards, ethics, equity, health and safety.
5. Develop effective teaming and leadership skills, with a focus on complementary team skills .
6. Make design decisions using financial factors, environmental factors, social factors, and public interests.
7. Apply information literacy to research (determining need, locating evaluating, citing, and using ethically) to inform concepts in engineering design.
8. Consider equity, diversity, inclusion and indigenization during the design process.
9. Discuss the role of ethics in a project with reference to real world engineering applications.
10. Develop and apply excellent written communication skills.
11. Develop and apply excellent verbal communication skills.
12. Develop and apply excellent presentation skills.
13. Use graphics and figures to effectively support written and verbal communication.
14. Reflect on project activities and provide insight related to project and learning scenarios.
15. Apply principles of career development to create a personal career development plan and resume.

Course Learning Outcomes:

1. Recognise different cost concepts and apply them using a variety of cost estimation techniques.
2. Solve cash flow analysis problems utilizing the time value of money.
3. Determine the effect of taxes and inflation on project viability.
4. Apply replacement analysis concepts to determine minimum equivalent annual costs.
5. Examine risk and change management approaches for project management.
6. Assess the financial strength and viability of a new venture.
7. Write a basic business plan.

Course Learning Outcomes:

1. Critically discuss the potential for engineering broadly – and their engineering discipline specifically – to positively impact complex (social, economic and environmental) sustainability challenges across diverse contexts.
2. Identify distinct concepts, knowledge, skills and competencies from engineering generally – and their engineering discipline specifically – that could be mobilised to usefully contribute to tackling a complex sustainability challenge or problem.
3. Work with colleagues from other disciplines to devise, design and propose engineering-enabled interdisciplinary ideas that could address a complex sustainability problem.
4. Identify and analyse the ethical and equity dimensions of a complex sustainability problem from an engineering perspective, and evaluate the likely ethical and equity implications of proposed solutions – and particularly the engineering aspects of the proposed solutions – to that problem.
5. Communicate the results of comprehensive engineering analyses and designs clearly and effectively to diverse audiences.

Course Learning Outcomes:

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

Course Learning Outcomes:

1. Calculate and visualize summary statistics in engineering contexts.
2. Assess and interpret the probability of events in engineering contexts.
3. Perform hypothesis tests and fit models to characterize engineering phenomena.
4. Solve linear differential equations to explain engineering phenomena.
5. Construct and evaluate systems of differential equations to address engineering problems.
6. Use statistical and differential equation methods to make engineering design choices.

Course Learning Outcomes:

1. Develop and apply excellent written communication skills.
2. Develop and apply excellent verbal communication skills.
3. Develop and apply excellent presentation skills.
4. Use graphics and figures to effectively support written and verbal communication.
5. Reflect on project activities and provide insight related to project and learning scenarios.

Course Learning Outcomes:

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Course Learning Outcomes:

1. .

Course Learning Outcomes:

1. Demonstrate professional conduct and integrity in the workplace.
2. Take initiate to plan, organize and complete tasks in order to meet workplace goals, as an individual and as a team member.
3. Demonstrate inclusive leadership in the workplace (through individual accountability and responsibility, being a good listener, motivating the team, staying open to input, and valuing other’s perspectives).
4. Produce clear, concise, precise and well-organized written communication in a professional workplace setting, with language and format appropriate for the audience and purpose.
5. Deliver formal and/or informal oral presentations in a professional workplace setting, with suitable language, content, style, timing and flow for the specific audience and purpose.
6. Evaluate and reflect on own knowledge, skills and learning and identify next steps for ongoing professional development.

Course Learning Outcomes:

1. .

Course Learning Outcomes:

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

Course Learning Outcomes:

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

Course Learning Outcomes:

1. Build and implement a plan that effectively uses time and resources to solve a problem.
2. Apply principles of design and problem solving.
3. Demonstrate professional written and oral communication skills.
4. Work effectively in a multidisciplinary team to solve a problem.

Course Learning Outcomes:

1. Develops professional engineering conduct and performance as part of a multidisciplinary team on a real industry client project.
2. Applies creative approaches to identify and develop alternative concepts and procedures.
3. Conducts risk analysis of a project, and manages risk for project considering operating performance, operating risk, and financial riskTools: Sensitivity Analysis, Risk Matrix.
4. Defines a problem in detail, including unstated customer/user/stakeholder needs, aesthetics, usability, user interface or other elements that impact user/operator experience.
5. Demonstrates conciseness, precision, and clarity of language in technical writing.
6. Demonstrates formal oral presentations with appropriate language, style, timing and flow.
7. Demonstrates habits that support regular reviewing, reflecting on and making improvements on individual learning and team performance.
8. Determines whether the project is economically attractive using cost and benefit estimation, and optimizationTools: Net Present Value, Internal Rate of Return, Net Present Cost, taxes included.
9. Develops detailed specifications and metrics incorporating performance requirements, constraints, assumptions, and other stated and unstated factors from all stakeholders relevant to the specific application.
10. Quantifies performance/yield/efficiency/output at appropriate stages through process to support design iteration and optimization.
11. Selects and applies, with some guidance, appropriate techniques, tools, and processes to accomplish a task.
12. Uses appropriate calculations, models, simulations, analysis, and/or prototypes at various points in design with iteration and complexity appropriate to design stage.
13. Writes and revises documents using appropriate discipline-specific conventions.
14. Effectively plans project including team activities, mitigation of risk and managing change to successfully complete project on time and on budget.