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Techniques d'intégration et applications de l'intégration. Intégrales impropres. Équations différentielles et modélisation mathématique. Dérivées partielles. Applications dans le contexte des sciences de la vie ou des Sciences physique, ou des affaires et de l'économie. Préalable(s): L'un des cours MATHQ ou MATH 100, 113, 114, 117, 134, 144 ou 154. Note: Ce cours n'est pas accessible aux étudiants ayant ou postulant des crédits pour MATHQ ou MATH 101, 115, 118, 136, 145, 156 ou SCI 100.

Vecteurs et algèbre matricielle. Déterminantes. Système d'équations linéaires. Espaces vectoriels. Valeurs propres et vecteurs propres. Applications. Préalable(s): Mathématiques 30-1 ou l'équivalent. Note: Ce cours n'est pas accessible aux étudiants ayant ou postulant des crédits pour MATHQ 120, MATH 102 ou 127.

Les concepts étudiés ont pour but d'aider l'enseignant à formuler une idée intuitive des concepts qu'il doit enseigner aux élèves. Nous aborderons la théorie élémentaire du nombre, les systèmes de numération, les ensembles de nombres, la théorie élémentaire de probabilité et les raisonnements inductif et déductif. Préalable(s): Mathématiques 30-1 ou 30-2, ou l'approbation du vice-doyen aux affaires académiques. Note(s): (1) Ce cours est réservé aux étudiants du BEd Élémentaire. (2) Les étudiants en sciences ne peuvent pas obtenir de crédits pour ce cours.

Séries infinies. Courbes planes et coordonnées polaires. Géométrie analytique à trois dimensions. Dérivées partielles. Préalable(s): MATHQ 101, 115, MATH 118, 146 ou SCI 100 ou l'équivalent. Note: Ce cours n'est pas accessible aux étudiants ayant ou postulant des crédits pour MATHQ 209 ou MATH 217.

Équations différentielles d'ordre un et deux avec des coefficients constants. Courbes, vecteurs tangents, longueur d'arc, intégration en deux et trois dimensions, coordonnées polaires cylindriques et sphériques, intégrales de lignes et de surfaces. Théorèmes de Green, de Stokes et théorème de la divergence. Préalable(s): MATHQ 214 ou l'équivalent. Note: Ce cours n'est pas accessible aux étudiants ayant ou postulant des crédits pour MATHQ 209 ou MATH 317.

Approche appliquée des mathématiques discrètes, couvrant les codes secrets, la cryptographie à clef publique, codes correcteurs d'erreurs, relations de récurrences, induction, théorie des graphes, algorithmes pour les graphes et algorithmes parallèles. Préalable(s): 3 crédits de niveau 100 en mathématiques ou SCI 100.

Espaces vectoriels. Espaces avec produit scalaire. Exemples d'espace à n dimensions, espace des fonctions continues. Procédé de Gram-Schmidt, factorisation QR, méthode des moindres carrés. Transformations linéaires, changements de base, transformations de similarité et diagonalisation. Diagonalisation orthogonale, formes quadratiques. Applications à une variété de champs, méthodes numériques. Préalable(s): un cours de niveau 100 en algèbre linéaire et Mathématiques 31 ou un autre cours de niveau 100 en calcul. Note: Ce cours n'est pas accessible aux étudiants ayant ou postulant des crédits pour MATH 227.

Géométrie euclidienne de base, congruence, parallélisme, aire et similarité. Développement axiomatique avec emphase sur la résolution de problèmes. Constructions et lieux géométriques, inégalités, maxima et minima, cercles, isométries, et autres sujets. Préalable(s): un cours de MATHQ de niveau 100 ou SCI 100.

Équations différentielles d'ordre un et deux avec des coefficients constants. Courbes, vecteurs tangents, longueur d'arc, intégration en deux et trois dimensions, coordonnées polaires cylindriques et sphériques, intégrales de lignes et de surfaces. Théorèmes de Green, de Stokes et théorème de la divergence. Préalable(s): Un parmi MATH/MATHQ 102, MATH/MATHQ 125 ou MATH 127, et MATH/MATHQ 214. Note: Ce cours n'est pas accessible aux étudiants ayant ou postulant des crédits pour MATH 209 ou MATH 317.

Équations du premier ordre, équations linéaires d'ordre élevé. Solution par séries de puissance. Méthodes de transformée de Laplace. Introduction aux fonctions spéciales. Introduction aux systèmes linéaires. Préalable(s): MATHQ 120 ou MATH/MATHQ 125 ou MATH 127 et un parmi MATH/MATHQ 209, 214 ou MATH 217. Concomitant(s): MATH/MATHQ 215 ou MATH 317. Note: Ce cours n'est pas accessible aux étudiants ayant ou postulant des crédits pour MATH/MATHQ 201 ou MATH 336.

Les thèmes choisis par l'instructeur seront puisés dans les mathématiques anciennes (incluant toutes les cultures), classiques ou modernes et examinés d'un point de vue historique. Préalable(s): deux cours de MATHQ de niveau 100 ou SCI 100.

Circuit element definitions. Circuit laws: Ohm's, KVL, KCL. Resistive voltage and current dividers. Basic loop and nodal analysis. Circuit theorems: linearity, Thevenin. Dependent sources. Time domain behavior of inductance and capacitance, energy storage. Sinusoidal signals, complex numbers, phasor and impedance concepts. Diodes: ideal and simple and models. Treatment of RLC circuits in the time domain, frequency domain and s-plane. Prerequisites: MATH 101 and MATH 102.

Number systems, logic gates, Boolean algebra. Karnaugh maps. Combinational networks. State machines. Field programmable gate array (FPGA) implementation. Computer architecture. Assembly language. Addressing modes, subroutines, memory, input-output interfacing, and interrupts.

Introduction to linear systems and signal classification. Convolution. Fourier series expansion and Fourier transform (FT). Sampling and reconstruction. Discrete Fourier transform (DFT) and properties. Spectra analysis. Models of continuous-time systems and discrete-time systems for linear control system Z-transform and inverse Z-transform. Analysis of linear time invariant (LTI) systems. Design of linear time-invariant control systems. Corequisites: MCTR 202 and MATH 201.

Design morphology, analysis and design of components, electro-mechanical system design and risk management concepts, design project aimed at assistive devices or technologies addressing user needs. Corequisite: MCTR 265.

Computer-aided engineering, solid modelling, drafting and design. Introduction to multiphysics simulation. Design project aligned with MCTR 260.

Introduction to object-oriented programming for mechatronic applications. Introduction to data structures and classes with application to mechatronics. Introduction to algorithms. Concepts illustrated on a physical mechatronic system. Prerequisite: ENCMP 100.

Transistors, transistor amplifiers, and op-amp circuits; frequency response and filters; analog signal detection, conditioning, analysis, and conversion; transducers and electronic sensors for measuring common physical properties/phenomena. Understanding properties of signals in time and frequency domain; digitization of analog data; statistics, analysis, and uncertainty of measurement data. Prerequisites: MCTR 202 and MCTR 240.

Linear feedback control systems for command-following, stability, and dynamic response specifications. Frequency response and design techniques, including lead, lag compensators and PID control. An introduction to structural design limitations. Introduction to state space models. Examples emphasizing control of mechatronics systems, using computer-aided design. Prerequisite: MCTR 240. Credit can only be granted for one of MCTR 320, MEC E 420, ECE 360, CH E 446.

Force and torque generation in electric machines. AC and DC machines, permanent magnet synchronous (PMSM) and brushless DC motors (BLDC). Machine characteristics and dynamic models of electric actuators. Linear actuators; power electronics device characteristics; motor drives: H-bridges, inverters; speed control methods; power converters.

Kinematics and dynamics of rigid bodies moving in three dimensions. Spatial kinematics of rigid bodies, Euler angles, tensor of inertia and the Newton-Euler equations of motion for rigid bodies, multi-body dynamics, inverse dynamics for manipulators. Prerequisite: MEC E 250.

Systems engineering definition, relevance, and benefits. The nature of technological systems and the concept of a system life cycle, from need to retirement. Requirements setting, including standards. Modelling system performance, with emphasis on mechatronic systems. System safety, risk, and reliability analysis. Ethical and sustainability considerations in systems design. Design for manufacturability and control. Design de-risking and testing for requirements compliance. Configuration management. Systems thinking and Indigenous perspectives.

Coordinates systems, robot kinematics (forward and inverse), differential kinematics, robot dynamics, path and trajectory planning, position control, force control, impedance control, teleoperation systems.

A project-based course dealing with the design and implementation of a robotic system to accomplish a set of requirements. Integration of sensor technologies, sensor data processing, motion control based on feedback and real-time programming. Design procedures, ethics, safety and risk management, theory of engineering design, role of engineering analysis in design, application of computer-aided design software; component and material selection, codes, and standards; design optimization; system integration and verification through testing; teamwork, and a design project. Corequisite: MCTR 365.

Mechatronic and robotic system design using CAD tools. Concepts of function structure models, material selection, and introduction of load and stress analysis. Integration of sensors and actuators. Simulation of mechanisms, dynamics, kinematics, and heat transfer using commercial software. Emphasis is on numerical model design including testing and verification methods, and the critical interpretation of the computed results. Design project aligned with MCTR 360.

Fundamentals of machine learning methods. Supervised, unsupervised, and reinforcement learning concepts, and fundamentals of fuzzy logic. Review of probability and optimization. Linear regression. Linear classification and logistic regression. Components of modern machine learning approaches, including feature engineering, neural network models, training and evaluation methodology, and deep learning libraries. Object detection and object/human pose regression for robotic applications. Bias in machine learning algorithms. Corequisite: MCTR 399.

Advanced topics in object-oriented programming for mechatronic applications. Advanced data structures, and algorithm analysis and design. Concepts illustrated using a physical mechatronic system and practical mechatronic applications. Introduction to modern robotic and mechatronic operating systems. Prerequisite: MCTR 294.

Analytical and numerical methods with mechatronics applications. Complex numbers, partial differential equations, analytic functions, elementary functions, mappings, integrals, series, residues and poles, integral formulas. Statistical tests. Numerical integration and differentiation, solution methods of boundary value problems. Use of programming languages to implement numerical methods. Critical-thinking applied to problems related to mechatronics systems. Formulation, methodologies, and techniques for numerical solutions of engineering issues, particularly those arising within the field of mechatronics.

System states and state space models. Linearization of nonlinear state-space models. Solving linear time-invariant state-space equations. Controllability and observability, and their algebraic tests. Minimal state-space realizations. State feedback and eigenvalue/pole assignment. Step tracking control design. State estimation and observer design. Observer-based control. Introduction to linear quadratic optimal control. Prerequisite: MCTR 320.

Review of probability, random variables, and stochastic processes. Recursive state estimation: Bayes filter, linear Kalman filter and its extension to nonlinear systems. Practical applications of filtering techniques to mechatronics systems. Prerequisite: MCTR 420.

PART 1: Feasibility study and detailed design of a project which requires students to exercise creative ability, to make assumptions and decisions based on synthesis of technical knowledge, and devise new designs. Advanced design safety review.

PART 2: Feasibility study and detailed design of a project which requires students to exercise creative ability, to make assumptions and decisions based on synthesis of technical knowledge, and devise new designs. Advanced design safety review. Prerequisite: MCTR 460.

Introduction to mobile robots. Means of locomotion and kinematic and dynamic models. Linear and nonlinear motion control theory and filtering applied mobile robots. Map-based and reactive motion planning. Localization and mapping. Visual servoing. Prerequisite: MCTR 394. Corequisite: MCTR 421.

A directed reading and seminar course based on papers taken from the recent literature of medical genetics. The course consists of lectures on a specific topic in medical genetics and oral presentations of the current literature by students. Selected topics vary so that students may take the same course but examining a different topic for additional credit. Prerequisite: consent of the Department of Medical Genetics. Credit may only be obtained in one of MDGEN 401 or MDGEN 601.

The rapid expansion of our understanding of the human genome has created new, exciting possibilities to understanding the root causes of human disease and improve health. However, this also leads to real and potential problems - both ethical and practical. This senior level undergraduate course will consist of four modules each covering different aspects of the scientific theory underlying the practice of Medical Genetics. Topics will include core concepts in human genomics, developmental genetics, genetic variation, Mendelian and non- Mendelian traits, Mendelian disease as examples of key genomic concepts, methodologies that allow for screening of genetic disease and the theory supporting the practice of genetic counselling. This course will be based on didactic understanding of the topics and draw upon examples from the expertise of the instructors. Prerequisites CELL 201 or BIOL 201, 300 level course in CELL or GENET or consent of the Department. Note: Not to be taken by students with credit in CELL 403. In addition, not available to students currently enrolled in CELL 403.

An interactive course designed to provide undergraduate students insight into the role of a genetic counsellor through exploration of key topics. The class meets once a week for a 2-to-3-hour discussion. Each week students will be presented a typical genetic counselling case, which they will then write up and present to the entire class the following week. All students will then participate in the discussion of the case. Midterm(s) and/or finals consist of a 60 min presentation on a choice of various ethical issues currently impacting the field. The course is graded based on presentations, written assignments and participation. Open to undergraduate students with permission of the course instructor. Credit may only be obtained in one of MDGEN 407 or MDGEN 507.

This course provides an overview of the fundamental principles of medical genetics in a pediatric and adult genetics setting including the etiology, inheritance, management, and long-term sequelae of various conditions. Topics will include patterns of single gene and complex inheritance, molecular genetic testing, variant interpretation and personalized genomic medicine. Case examples will be used to reinforce the relevant principles. Readings will be derived from the required texts and from the primary literature. This course is offered as both face to face and synchronous online, but only through the consent of the department. Currently, the course is restricted to students in the Genetic Counselling training program and the Laboratory Medicine Pathology training program.

This course provides an overview of fundamental principles of medical genetics in a prenatal and newborn setting including the etiology, inheritance, management, and long-term sequelae of various conditions. Topics will include patterns of single gene and complex inheritance, population genetics, prenatal diagnosis and screening, cytogenetic analysis, biochemical diagnosis, and newborn screening. Case examples will be used to reinforce the relevant principles. Readings will be derived from the required texts and from the primary literature. This course is offered only through the consent of the department. Currently, the course is restricted to students in the Genetic Counselling training program.

An interactive course designed to provide graduate students insight into the role of a genetic counsellor through exploration of key topics. The class meets once a week for a 2-to-3-hour discussion. Each week students will be presented a typical genetic counselling case, which they will then write up and present to the entire class the following week. All students will then participate in the discussion of the case. Midterm and/or finals consist of a 60 min presentation on a choice of various ethical issues currently impacting the field. The course is graded based on presentations, written assignments and participation. Open to up to 4 students with permission of the course instructor. Credit may only be obtained in one of MDGEN 407 or MDGEN 507.

A directed reading and seminar course based on papers taken from the recent literature of medical genetics. The course consists of lectures on a specific topic in medical genetics and oral presentations of the current literature by students. Selected topics vary so that students may take the same course but examining a different topic for additional credit. Prerequisite: consent of the Department of Medical Genetics. Credit may only be obtained in one of MDGEN 401 or MDGEN 601.

This course is designed as a journal club and discussion group in which topics in medical genetics are discussed. Students will critically discuss papers and give oral presentations to the class. Specific topics will include research in genomics, disease gene cloning, chromosome structure, and clinical aspects of medical genetics. Prerequisite: consent of the Department of Medical Genetics.

Reading and study of a specific topic related to the student's MSc or PhD Program in the Department of Medical Genetics under the direction of one or more faculty members. Prerequisite: consent of Department.

To provide students currently training in a Genetic Counselling graduate program with insight and direct experience into the role of a genetic counsellor through research into key topics in the area, as well as observation and participation in genetic counselling sessions. The course involves scheduled meetings with the instructor, and observing and participating in counselling sessions. Cases will be randomly selected for formal write-up and presentation. Students will also learn to critique a suitable medical genetics journal. Course is graded based on presentations, written assignment and counselling performance. Open to students in a graduate program for genetic counselling, with permission of the course instructor.

Introduction to the profession of mechanical engineering with special emphasis of industries in Alberta, including coverage of elements of ethics, equity, concepts of sustainable development and environmental stewardship, public and worker safety and health considerations including the context of the Alberta Occupational Health and Safety Act. Selected guest speakers on design problems in mechanical engineering. Communication skills including written and oral presentations.

Introduction to the profession of mechanical engineering with special emphasis of industries in Alberta, including coverage of elements of ethics, equity, concepts of sustainable development and environmental stewardship, public and worker safety and health considerations including the context of the Alberta Occupational Health and Safety Act. Selected guest speakers on design problems in mechanical engineering. Communication skills including written and oral presentations.

Introduction to the profession of mechanical engineering with special emphasis of industries in Alberta, including coverage of elements of ethics, equity, concepts of sustainable development and environmental stewardship, public and worker safety and health considerations including the context of the Alberta Occupational Health and Safety Act. Selected guest speakers on design problems in mechanical engineering. Communication skills including written and oral presentations.

Introduction to modes of heat transfer. One dimensional heat conduction. Heat transfer from surfaces. Introduction to fluid mechanics. Fluid properties. Fluid statics. Use of control volumes. Internal flows. Prerequisites: MATH 101, EN PH 131.

Introduction to modes of heat transfer. One dimensional heat conduction. Heat transfer from surfaces. Introduction to fluid mechanics. Fluid properties. Fluid statics. Use of control volumes. Internal flows. Prerequisites: MATH 101, EN PH 131.

Introduction to modes of heat transfer. One dimensional heat conduction. Heat transfer from surfaces. Introduction to fluid mechanics. Fluid properties. Fluid statics. Use of control volumes. Internal flows. Prerequisites: MATH 101, EN PH 131.

Energy and energy transfer. Properties of pure substances. Energy analysis of closed systems and control volumes. The second law of thermodynamics, entropy, and exergy. Prerequisite: MATH 101. Credit can only be granted for one of CH E 243 or MEC E 240.

Moments of inertia. Kinematics and kinetics of rigid body motion, energy and momentum methods, impact, mechanical vibrations. Prerequisites: ENGG 130, EN PH 131 and MATH 101. There is a consolidated exam.

Moments of inertia. Kinematics and kinetics of rigid body motion, energy and momentum methods, impact, mechanical vibrations. Prerequisites: ENGG 130, EN PH 131 and MATH 101. There is a consolidated exam

Moments of inertia. Kinematics and kinetics of rigid body motion, energy and momentum methods, impact, mechanical vibrations. Prerequisites: ENGG 130, EN PH 131 and MATH 101. There is a consolidated exam.

Design morphology, analysis and design of components, mechanical design with electric motors, computer-aided design introduction, design project. Prerequisite: ENGG 160. Corequisite: MEC E 265 and CIV E 270.

Design morphology, analysis and design of components, mechanical design with electric motors, computer-aided design introduction, design project. Prerequisite: ENGG 160. Corequisite: MEC E 265 and CIV E 270.

Design morphology, analysis and design of components, mechanical design with electric motors, computer-aided design introduction, design project. Prerequisite: ENGG 160. Corequisite: MEC E 265 and CIV E 270.

Engineering drawing and sketching, conventional drafting, computer-aided drawing in 2D and 3D, solid modelling, and computer-aided design.

Engineering drawing and sketching, conventional drafting, computer-aided drawing in 2D and 3D, solid modelling, and computer-aided design.

Engineering drawing and sketching, conventional drafting, computer-aided drawing in 2D and 3D, solid modelling, and computer-aided design.

Characterization and behavior of measuring systems. Statistics and analysis of measurement data; measurement techniques applied to fundamental mechanical engineering phenomena. Prerequisites: CIV E 270, ECE 209, STAT 235. Corequisite: MEC E 330 or MEC E 331.

Characterization and behavior of measuring systems. Statistics and analysis of measurement data; measurement techniques applied to fundamental mechanical engineering phenomena. Prerequisites: CIV E 270, ECE 209, STAT 235. Corequisite: MEC E 330 or MEC E 331.

Characterization and behavior of measuring systems. Statistics and analysis of measurement data; measurement techniques applied to fundamental mechanical engineering phenomena. Prerequisites: CIV E 270, ECE 209, STAT 235. Corequisite: MEC E 330 or MEC E 331.

Laboratory experiments in mechanical engineering measurement techniques, treatment of measurement data, introduction to engineering report writing. Corequisite: MEC E 300.

Laboratory experiments in mechanical engineering measurement techniques, treatment of measurement data, introduction to engineering report writing. Corequisite: MEC E 300.

Laboratory experiments in mechanical engineering measurement techniques, treatment of measurement data, introduction to engineering report writing. Corequisite: MEC E 300.

External flow, boundary layers, momentum theories, similitude, fluid metering, fluid friction, fluid friction in pipes, pipe networks. Prerequisites: MEC E 230, 250, MATH 209. Corequisite: CH E 243. Credit can only be granted for one of MEC E 330 or MEC E 331.

External flow, boundary layers, momentum theories, similitude, fluid metering, fluid friction, fluid friction in pipes, pipe networks. Prerequisites: MEC E 230, 250, MATH 209. Corequisite: CH E 243. Credit can only be granted for one of MEC E 330 or MEC E 331.

External flow, boundary layers, momentum theories, similitude, fluid metering, fluid friction, fluid friction in pipes, pipe networks. Prerequisites: MEC E 230, 250, MATH 209. Corequisite: CH E 243. Credit can only be granted for one of MEC E 330 or MEC E 331.

Review of thermodynamic principles. Applications to gas compressors, vapour and gas power cycles, heat pump cycles. Availability analysis. Psychrometrics. Combustion analysis. Prerequisite: CH E 243.

Review of thermodynamic principles. Applications to gas compressors, vapour and gas power cycles, heat pump cycles. Availability analysis. Psychrometrics. Combustion analysis. Prerequisite: CH E 243.

Review of thermodynamic principles. Applications to gas compressors, vapour and gas power cycles, heat pump cycles. Availability analysis. Psychrometrics. Combustion analysis. Prerequisite: CH E 243.

Design procedures, theories of failure, material selection, design for fatigue, creep and relaxation, selection of gears and bearings and application of computer-aided design software. Prerequisite: MEC E 260 and 265, MAT E 202 and CIV E 270. Corequisite: MEC E 362.

Design procedures, theories of failure, material selection, design for fatigue, creep and relaxation, selection of gears and bearings and application of computer-aided design software. Prerequisite: MEC E 260 and 265, MAT E 202 and CIV E 270. Corequisite: MEC E 362.

Design procedures, theories of failure, material selection, design for fatigue, creep and relaxation, selection of gears and bearings and application of computer-aided design software. Prerequisite: MEC E 260 and 265, MAT E 202 and CIV E 270. Corequisite: MEC E 362.

Velocities and acceleration in plane mechanisms, balancing of rotating and reciprocating machinery, gears and gear trains. Prerequisite: MEC E 250.

Velocities and acceleration in plane mechanisms, balancing of rotating and reciprocating machinery, gears and gear trains. Prerequisite: MEC E 250.

Velocities and acceleration in plane mechanisms, balancing of rotating and reciprocating machinery, gears and gear trains. Prerequisite: MEC E 250.

Primary manufacturing processes including casting, forming, machining, powdered metallurgy and surface technology, interactions between design, materials (metals, polymers, ceramics, composites) and processes, selected field trips and laboratory activities. Requires payment of additional student instructional support fees. Refer to the Tuition and Fees page in the University Regulations section of the Calendar. Prerequisite: MEC E 260.

Primary manufacturing processes including casting, forming, machining, powdered metallurgy and surface technology, interactions between design, materials (metals, polymers, ceramics, composites) and processes, selected field trips and laboratory activities. Requires payment of additional student instructional support fees. Refer to the Tuition and Fees page in the University Regulations section of the Calendar. Prerequisite: MEC E 260.

Primary manufacturing processes including casting, forming, machining, powdered metallurgy and surface technology, interactions between design, materials (metals, polymers, ceramics, composites) and processes, selected field trips and laboratory activities. Requires payment of additional student instructional support fees. Refer to the Tuition and Fees page in the University Regulations section of the Calendar. Prerequisite: MEC E 260.

Mechanisms of heat transfer, steady and unsteady heat conduction, numerical analysis, thermal radiation, free and forced convection, heat exchanger analysis and heat transfer with change of phase and mass transfer. Prerequisites: MEC E 230, CH E 243. Corequisites: MATH 300 and MEC E 331. Credit can only be granted for one of MEC E 370 or MEC E 371.

Mechanisms of heat transfer, steady and unsteady heat conduction, numerical analysis, thermal radiation, free and forced convection, heat exchanger analysis and heat transfer with change of phase and mass transfer. Prerequisites: MEC E 230, CH E 243. Corequisites: MATH 300 and MEC E 331. Credit can only be granted for one of MEC E 370 or MEC E 371.

Mechanisms of heat transfer, steady and unsteady heat conduction, numerical analysis, thermal radiation, free and forced convection, heat exchanger analysis and heat transfer with change of phase and mass transfer. Prerequisites: MEC E 230, CH E 243. Corequisites: MATH 300 and MEC E 331. Credit can only be granted for one of MEC E 370 or MEC E 371.

Stress, strain, stress-strain relation, time-independent and time-dependent behavior, virtual work and energy theorems, deformations, indeterminate systems, matrix methods. Prerequisite: CIV E 270.

Stress, strain, stress-strain relation, time-independent and time-dependent behavior, virtual work and energy theorems, deformations, indeterminate systems, matrix methods. Prerequisite: CIV E 270.

Stress, strain, stress-strain relation, time-independent and time-dependent behavior, virtual work and energy theorems, deformations, indeterminate systems, matrix methods. Prerequisite: CIV E 270.

Application of numerical methods to mechanical engineering problems; topics include sources and definitions of error, root finding, solutions of linear and non-linear systems of equations, regression, interpolaton, numerical integration and differentiation, solution of initial value and boundary value ordinary differential equations. Applications include dynamics, solid mechanics, heat transfer and fluid flow. Prerequisites: MATH 102 and 201.

Application of numerical methods to mechanical engineering problems; topics include sources and definitions of error, root finding, solutions of linear and non-linear systems of equations, regression, interpolaton, numerical integration and differentiation, solution of initial value and boundary value ordinary differential equations. Applications include dynamics, solid mechanics, heat transfer and fluid flow. Prerequisites: MATH 102 and 201.

Application of numerical methods to mechanical engineering problems; topics include sources and definitions of error, root finding, solutions of linear and non-linear systems of equations, regression, interpolaton, numerical integration and differentiation, solution of initial value and boundary value ordinary differential equations. Applications include dynamics, solid mechanics, heat transfer and fluid flow. Prerequisites: MATH 102 and 201.

Selected laboratory experiments in applied mechanics and thermosciences. Prerequisites: MEC E 300, 301, 340 and 360.

Selected laboratory experiments in applied mechanics and thermosciences. Prerequisites: MEC E 300, 301, 340 and 360.

Selected laboratory experiments in applied mechanics and thermosciences. Prerequisites: MEC E 300, 301, 340 and 360.

Selected group projects in experimental measurement and mechanical design. Two to four person groups develop planning, design, testing and report writing skills on projects in applied mechanics, thermosciences and engineering management. Prerequisites: MEC E 301 and ENG M 310 or 401.

Engineering analysis is used to examine the veracity of commonly held science and technology myths. Prerequisites: MEC E 330 or 331, 340, 370 or 371, 380, 390, MATH 300.

Design of linear feedback control systems for command-following error, stability, and dynamic response specifications. PID, Root-locus, frequency response and design techniques. An introduction to structural design limitations. Examples emphasizing Mechanical Engineering systems. Some use of computer aided design with MATLAB/Simulink. Controls Lab - control of mechanical systems. Prerequisites: MEC E 390. Credit can only be granted for one of MEC E 420, ECE 362, CH E 448.

Design of linear feedback control systems for command-following error, stability, and dynamic response specifications. PID, Root-locus, frequency response and design techniques. An introduction to structural design limitations. Examples emphasizing Mechanical Engineering systems. Some use of computer aided design with MATLAB/Simulink. Controls Lab - control of mechanical systems. Prerequisites: MEC E 390. Credit can only be granted for one of MEC E 420, ECE 362, CH E 448.

Design of linear feedback control systems for command-following error, stability, and dynamic response specifications. PID, Root-locus, frequency response and design techniques. An introduction to structural design limitations. Examples emphasizing Mechanical Engineering systems. Some use of computer aided design with MATLAB/Simulink. Controls Lab - control of mechanical systems. Prerequisites: MEC E 390. Credit can only be granted for one of MEC E 420, ECE 362, CH E 448.

Navier-Stokes equations, introductory computational fluid dynamics, boundary layers, compressible fluid flow (variable area ducts, normal and oblique shock waves, Prantdl-Meyer expansions, adiabatic and isothermal pipe flow), two phase flow. Prerequisite: MEC E 330 or 331.

Navier-Stokes equations, introductory computational fluid dynamics, boundary layers, compressible fluid flow (variable area ducts, normal and oblique shock waves, Prantdl-Meyer expansions, adiabatic and isothermal pipe flow), two phase flow. Prerequisite: MEC E 330 or 331.

Navier-Stokes equations, introductory computational fluid dynamics, boundary layers, compressible fluid flow (variable area ducts, normal and oblique shock waves, Prantdl-Meyer expansions, adiabatic and isothermal pipe flow), two phase flow. Prerequisite: MEC E 330 or 331.