UPM Code Credits Type Specialization Language. 4.5 Optional

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ESCUELA DE INGENIEROS DE CAMINOS, CANALES Y PUERTOS. Curso académico 2015-16 Programación docente. Título: Máster Universitario en Sistemas de Ingeniería Civil Página 1 de 7 Asignatura: Systems analysis applied to civil engineering 1. General overview UPM Code Credits Type Specialization Language 4.5 Optional Hydraulics, energy and environment English Name in Spanish Subject Department Análisis de sistemas aplicado a la ingeniería civil Systems analysis applied to civil engineering Hydraulics, energy and environment Web page Semester First semester 2. Teaching staff Name Group Office hours Place E-mail address Juan Ignacio Pérez Díaz All J y V, 11:00-14:00 Lab. De ingeniería eléctrica ji.perez@upm.es 3. Previous knowledge Linear Algebra Applied mathematics 4. Assigned competences Code CE-A1 CE-A7 CE-A8 CG5 CG8 CB6 CB7 CB9 CB10 Competence Scientific-technical and methodological qualification for the design, analysis, planning, operation and maintenance of civil works Knowledge and ability to devise innovative solutions in civil engineering systems. Ability to devise innovative and sustainable for operation and management of civil engineering systems. English language usage Planning and organization Possess and understand knowledge that provide a basis to be original in the development and application of ideas in a research context Ability to apply the acquired knowledge and to resolve problems in new or barely known environments within wider contexts (or multidisciplinary) related to the area of knowledge Communicate conclusions and knowledge to different types of audiences in a clear and concise manner Learning abilities that allow the students to continue studying in a self-managed or autonomous manner

Página 2 de 7 ESCUELA DE INGENIEROS DE CAMINOS, CANALES Y PUERTOS. Curso académico 2014-15 5. Learning results Code RA2 Learning results (RA) Formulates and solve optimization problems in the area of civil engineering systems Analyzes and understands optimization algorithms published in the technical and scientific literature. Competences linked CE-A1, CE- A7, CE-A8, CG8, CB7 CE-A1, CE- A7, CE-A8, CG5, CB6, CB9, CB10 6. Indicators of achievement Code Basic Indicators of achievement RA linked IL1 IL2 IL3 IL4 IL5 IL6 IL7 No Formulates optimization problems in the area of civil engineering systems. Solves linear programming problems in the area of civil engineering systems with the help of different optimization softwares. Solves integer programming problems in the area of civil engineering systems with the help of different optimization softwares. Solves nonlinear programming problems in the area of civil engineering systems with the help of different optimization softwares. Solves dynamic programming problems in the area of civil engineering systems with the help of different optimization softwares. Analyzes and understands research articles related with the development and application of optimization algorithms to solve problems of civil engineering systems. Applies optimization algorithms recently published in the scientific literature to solve problems of civil engineering systems. NOTE. Basic: Indicator that must be achieved to pass the subject., RA2, RA2

ESCUELA DE INGENIEROS DE CAMINOS, CANALES Y PUERTOS. Curso académico 2015-16 Programación docente. Título: Máster Universitario en Sistemas de Ingeniería Civil Página 3 de 7 7. Evaluation methods and criteria Code, name of evaluation methods, brief description of evaluation methods, criteria, place and period of evaluation Weight 7.1. Evaluation through continuous assessment EI1. Attendance and participation 20% Description: Attendance and participation in the lectures. Evaluation criteria: It will be ranked from 0 to 10 points, proportionally to the percentage of lectures attended and to the participation of the student. Place and period: The attendance control will be carried out in the classroom during all lectures. EI2. Resolution of practical exercises 40% Description: Students shall submit several exercises related to the contents of the lectures of the first thematic block of the course. Evaluation criteria: Exercises will be graded from 0 to 10 points, according to the degree of fulfillment of the objectives of the first thematic block of the course (block I). E.I 2 grade will correspond to the arithmetic mean of the exercises grades. Place and period: The exercises will be done outside the class time. EI3. Comprehensive exam 20% Description: At the end of block I, students must take a comprehensive exam (test) about the lectures given since the beginning of the course. Evaluation criteria: Exams will be graded from 0 to 10 points. The exam grade will be calculated as the average of the score of all questions. Place and period: The exam will be done in the classroom during the class time. EI4. Technical report (TR) 20% Description: Students shall elaborate a technical report related to one or more of the lectures of the second thematic block of the course (block II). The report may be presented either in written form or in an oral session. Evaluation criteria: Technical reports will be graded from 0 to 10 points, according to the skills for analysis, discussion and drawing conclusions, demonstrated by the students in their respective reports. Place and period: The final work will be done outside the class time. Result of the evaluation through continuous assessment The final score will be the weighted average of the results obtained in the evaluation items 1 to 4, previously described. The course will be passed if the final score is equal or greater than 5. 7.2. Evaluation through final exam only There is no final exam in this course.

Página 4 de 7 ESCUELA DE INGENIEROS DE CAMINOS, CANALES Y PUERTOS. Curso académico 2014-15 8. Course content Units, sections and descriptors Topic 1. Formulation of optimization problems Topic 2. Linear programming Topic 3. Integer linear programming. Topic 4. Nonlinear programming. Topic 5. Optimization models with GAMS. Topic 6. Dynamic programming. Topic 7. Multi-objective optimization. Topic 8. Stochastic dynamic programming. Topic 9. Applications. Indicator of achievement linked IL1 IL1, IL2 IL1, IL3 IL1, IL4 IL1-IL4 IL5 IL6 IL1, IL5-6 IL6, IL7 9. Description of teaching methodology Theory lessons: The teacher will explain the concepts necessary to understand the course contents in order for the student to achieve the expected indicators. The teacher will use appropriate practical examples and logical reasoning to develop the scientific and technical abilities of the student. The participation of students will be encouraged by means of discussions on the taught topics. Practice lessons: Practice lessons will be aimed at solving exercises and case-studies. Practice lessons are intended as a correlation between the content of theory lessons and engineering practice, in order for the student to achieve the ability to apply the acquired knowledge in the future career. A special emphasis will be put on the use of commercial software tools. Laboratory classes: Tutorials of the optimization software used in the course will be given during practice lessons. Independent work: As indicated in section 7, in case of choosing continuum assessment, the student shall submit several practical exercises related with the contents taught during the sessions. Group work: There is no group work in the course. Office hours: Office hours are intended as a complement for the students to ask questions on the course content. The students can attend to office hours on the places and hours indicated above, as well as ask their questions by email. 10. Bibliography and resources Basic bibliography: Bertsekas, D.P., Dynamic Programming: Deterministic and Stochastic Models. Prentice-Hall, 1987 Castillo, E. et al., Building and solving mathematical programming models in engineering and science. Wiley, 2002. Revelle, C.S. et al., Civil and environmental systems engineering. New Jersey, Prentice Hall, 1997. Rosenthal, R.E., GAMS - A user's guide. GAMS Development Corporation, Washington DC, USA, 2008. (http://www.gams.com/)

ESCUELA DE INGENIEROS DE CAMINOS, CANALES Y PUERTOS. Curso académico 2015-16 Programación docente. Título: Máster Universitario en Sistemas de Ingeniería Civil Página 5 de 7 Complementary bibliography: Several complementary readings are uploaded in Moodle periodically. Web resources: Web site of the course, virtual platform (MOODLE). Specific equipment: Library of the laboratory of electrical engineering (EICCP).

Página 6 de7 ESCUELA DE INGENIEROS DE CAMINOS, CANALES Y PUERTOS. Curso académico 2014-15 Table 1. Time schedule Week (see Note 1) Theory lessons Practice lessons Laboratory classes Independent work Evaluation activities Other activities Hours Topic 1 Study Topic 1 Exercise 1 (E.I. 2) 3 h 7 h Topic 2 Study Topic 2 Exercise 2 (E.I. 2) 4h 30 min Topic 3 Study Topic 3 Exercise 3 (E.I. 2) 2 h 30 min 6 h Topic 4 Study Topic 4 Exercise 4 (E.I. 2) 2 h 6 h Topic 5 Topic 5 Study Topic 5 Exercise 5 (E.I. 2) 3 h 3 h 10 h Topic 6 Study Topic 6 Exercise 6 (E.I. 2) 3 h 7 h Topic 7 Study Topic 7 E.I. 3 6 h 3 h Topic 8 Study Topic 8 6 h 3 h Topic 9 Study Topic 9 + TR E.I. 4 6 h 3 h + 35 h Horas 36 h 3 h 86 h 125 h NOTE 1. Exact dates are shown in the academic calendar. 6 h

ESCUELA DE INGENIEROS DE CAMINOS, CANALES Y PUERTOS. Curso académico 2014-15 Página 7 de7