CIVE 208 Fall 2023 Full Course Outline

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McGill University *

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208

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Civil Engineering

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Oct 30, 2023

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5

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1 of 2 CIVE 208 2023-08-18 Faculty of Engineering Course Outline CIVE 208 Course Title: Civil Engineering System Analysis Credits: 3 Contact Hours: (3-2-4) Course Prerequisite(s): COMP 208 Course Corequisite(s): MATH 264 Course Description: Introduction to civil engineering systems; system modelling process; systems approach and optimization techniques; application of linear programming; simplex method; duality theory; sensitivity analysis; transportation problem; assignment problem; network analysis including critical path method; integer linear programming method. Canadian Engineering Accreditation Board (CEAB) Curriculum Content CEAB curriculum category content Number of AU's Description Math 0 Mathematics include appropriate elements of linear algebra, differential and integral calculus, differential equations, probability, statistics, numerical analysis, and discrete mathematics. Natural science 0 Natural science includes elements of physics and chemistry, as well as life sciences and earth sciences. The subjects are intended to impart an understanding of natural phenomena and relationships through the use of analytical and/or experimental techniques. Complementary studies 0 Complementary studies include the following areas of study to complement the technical content of the curriculum: engineering economics and project management; the impact of technology on society; subject matter that deals with the arts, humanities and social sciences; management; oral and written communications; health and safety; professionalism, ethics, equity and law; and sustainable development and environmental stewardship. Engineering science 52 Engineering science involves the application of mathematics and natural science to practical problems. They may involve the development of mathematical or numerical techniques, modeling, simulation, and experimental procedures. Such subjects include, among others, applied aspects of strength of materials, fluid mechanics, thermodynamics, electrical and electronic circuits, soil mechanics, automatic control, aerodynamics, transport phenomena, elements of materials science, geoscience, computer science, and environmental science. Engineering design 0 Engineering design integrates mathematics, natural sciences, engineering sciences, and complementary studies in order to develop elements, systems, and processes to meet specific needs. It is a creative, iterative, and open-ended process, subject to constraints which may be governed by standards or legislation to varying degrees depending upon the discipline. These constraints may also relate to economic, health, safety, environmental, societal or other interdisciplinary factors. Accreditation units (AU's) are defined on an hourly basis for an activity which is granted academic credit and for which the associated number of hours corresponds to the actual contact time: one hour of lecture (corresponding to 50 minutes of activity) = 1 AU; one hour of laboratory or scheduled tutorial = 0.5 AU. Classes of other than the nominal 50-minute duration are treated proportionally. In assessing the time assigned to determine the AU's of various components of the curriculum, the actual instruction time exclusive of final examinations is used.
2 of 2 CIVE 208 2023-08-18 Graduate Attributes This course contributes to the acquisition of graduate attributes as follows: Graduate attribute KB PA IN DE ET IT CS PR IE EE EP LL Level descriptor D D I I = Introduced; D = Developed; A = Applied KB - Knowledge Base for Engineering: Demonstrated competence in university level mathematics, natural sciences, engineering fundamentals, and specialized engineering knowledge appropriate to the program. PA - Problem Analysis: An ability to use appropriate knowledge and skills to identify, formulate, analyze, and solve complex engineering problems in order to reach substantiated conclusions. IN - Investigation: An ability to conduct investigations of complex problems by methods that include appropriate experiments, analysis and interpretation of data, and synthesis of information in order to reach valid conclusions. DE - Design: An ability to design solutions for complex, open-ended engineering problems and to design systems, components or processes that meet specified needs with appropriate attention to health and safety risks, applicable standards, economic, environmental, cultural and societal considerations. ET - Use of Engineering Tools: An ability to create, select, adapt, and extend appropriate techniques, resources, and modern engineering tools to a range of engineering activities, from simple to complex, with an understanding of the associated limitations. IT - Individual and Team Work: An ability to work effectively as a member and leader in teams, preferably in a multi-disciplinary setting. CS - Communication Skills: An ability to communicate complex engineering concepts within the profession and with society at large. Such abilities include reading, writing, speaking and listening, and the ability to comprehend and write effective reports and design documentation, and to give and effectively respond to clear instructions. PR - Professionalism: An understanding of the roles and responsibilities of the professional engineer in society, especially the primary role of protection of the public and the public interest. IE - Impact of Engineering on Society and the Environment: An ability to analyse social and environmental aspects of engineering activities. Such abilities include an understanding of the interactions that engineering has with the economic, social, health, safety, legal, and cultural aspects of society; the uncertainties in the prediction of such interactions; and the concepts of sustainable design and development and environmental stewardship. EE - Ethics and Equity: An ability to apply professional ethics, accountability, and equity. EP - Economics and Project Management: An ability to appropriately incorporate economics and business practices including project, risk and change management into the practice of engineering, and to understand their limitations. LL - Life-Long Learning: An ability to identify and to address their own educational needs in a changing world, sufficiently to maintain their competence and contribute to the advancement of knowledge. Policies Academic Integrity McGill University values academic integrity. Therefore, all students must understand the meaning and consequences of cheating, plagiarism and other academic offences under the Code of Student Conduct and Disciplinary Procedures. (see www.mcgill.ca/students/srr/honest/ for more information). (approved by Senate on 29 January 2003) In accord with McGill University's Charter of Students' Rights, students in this course have the right to submit in English or in French any written work that is to be graded. (approved by Senate on 21 January 2009) Grading Policy In the Faculty of Engineering, letter grades are assigned according to the grading scheme adopted by the professor in charge of a particular course. This may not correspond to practices in other Faculty and Schools in the University. In the event of extraordinary circumstances beyond the University's control, the content and/or evaluation scheme in this course is subject to change.
Page 1 / 3 McGill University Department of Civil Engineering Course CIVE 208 - CIVIL ENGINEERING SYSTEMS ANALYSIS Instructor: Professor Van-Thanh-Van Nguyen Email: van.tv.nguyen@mcgill.ca Room 489 (Macdonald Engineering Building) Time and Location: Lectures - MW: 08:35 – 09:55 Room: 13 (McConnell Eng. Bldg.) Tutorial - F: 09:35 – 11:25 Room: 13 (McConnell Eng. Bldg.) I remind everyone of their responsibility in ensuring that the materials (lecture notes, handouts, assignments, etc.) related to this course are not reproduced or placed in the public domain. This means that each of you can use them for your educational (and research) purposes, but you cannot allow others to use them, by putting them up on the Internet or by giving them or selling them to others who may also copy them and make them available. Please refer to McGill’s Guidelines for Instructors and Students on Remote Teaching and Learning for further information. Thank you very much for your help. COURSE OUTLINE Learning Outcomes: 1. Describe the systems approaches to formulate, analyze, and solve civil engineering problems; 2. Describe the linear programming method and apply this technique in the modeling, analysis, and solution of civil engineering problems; 3. Describe the duality theory and apply this approach in the modeling, analysis, and solution of civil engineering problems; 4. Describe the special types of linear programming problems and the application of appropriate approaches to solve these special problems; and 5. Describe the network analysis methods and apply these methods in the solution of civil engineering problems. Textbook (required): Hillier and Lieberman. Introduction to Operations Research, Eleventh (or Older) Edition, McGraw-Hill. Marking scheme . Assignment 10% Mid-term examination 25% Final examination 65% Total 100%
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Page 2 / 3 Subjects : Recommended reading (Chapters in textbook) 1. Introduction. 2 - System approaches. - System modeling. - Problem solution process. 2. Introduction to linear programming. 3 - Fundamental concept. - Graphical method. 3. The simplex method. 4 and 5 - The algebra of the simplex procedure. - Particular cases (Artificial variables, Infeasible solutions, Multiple optimal solutions, Free variables…) 4. Duality theory and sensitivity analysis. 6, 7 and 8 - Origin of the dual model. - Economic interpretation (shadow prices). - Primal-dual relationships. - Sensitivity analysis. - The dual simplex method. 5. Special types of linear programming problems. 9 - The transportation problem. - The assignment problem. 6. Network analysis. 10 - The shortest-route problem. - The minimum spanning tree problem. - The maximum flow problem. - Project planning and control with PERT-CPM. 7. Integer programming. 12 - Cutting-plane method. - Branch-and-bound method. - Implicit enumeration method.
Page 3 / 3 REFERENCES Amador-Jimenez, L. (2016). Civil engineering systems analysis, CRC Press, 271 pages. Jewell, T.K. (1986). A systems approach to civil engineering planning and design. Harper & Row, 555 pages. Labi, S. (2014). Introduction to civil engineering systems: a systems perspective to the development of civil engineering facilities, Wiley, 1409 pages. McDonald, P.H. (2001). Fundamentals of infrastructure engineering: civil engineering systems, Dekker, 533 pages. Russell Rhinehart, R. (2018). Engineering optimization: applications, methods, analysis, Wiley, 723 pages. Stark, R.M. and Nicholls, R.L. (2005). Mathematical foundations for design: civil engineering systems, Dover, 566 pages. Winston, W.L. et al. (2010). Introduction to mathematical programming, 4th Edition, Thomson- Brooks/Cole, 924 pages.

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