OPERATIONS RESEARCH CourseCode: 2790Degree: Bachelor's in Computer Engineering in Information TechnologiesSchool of Engineering of ElcheYear: Year 1 of Bachelor's in Computer Engineering in Information TechnologiesSemester: SpringType: CoreLanguage: SpanishECTS credits: 6Lecture: 3Laboratory: 3Hours: 150Directed: 60Shared: 30Autonomous: 60Subject matter: MathematicsModule: CoreDepartment: Statistics, Mathematics and InformaticsArea: STATISTICS AND OPERATIONS RESEARCHCourse instructors are responsible for the course content descriptions in English.DescriptionIntroduction to operations research. Linear programming. Linear programming in networks.FacultyNameCoordinatorLectureLaboratoryMONGE IVARS, JUAN FRANCISCO■■■ANTON SANCHEZ, LAURA■Professional interestThe course provides conceptual and quantitative methods for understanding mathematical modeling and solving complex problems of decision making.Competencies and learning outcomesGeneral competenciesCritical and analytical skills in the area of computing.Knowledge about basic materials and technologies that enable learning and developing new methods and technologies, as well as those that provide great versatility for adapting to new situations.Ability to solve problems with initiative, decision making, autonomy, and creativity. Capacity to know how to communicate and transmit knowledge, abilities, and skills from the technical engineer in computing profession.Knowledge for making measurements, calculations, assessments, appraisals, surveys, studies, reports, task scheduling, and other similar computer work, according to the knowledge acquired by the specific technology of information technology.Specific competenciesCapacity for solving mathematical problems that may arise in engineering. Aptitude for applying knowledge about linear algebra, differential and integral calculus, numerical methods, numerical algorithms, statistics, and optimization.Objectives (Learning outcomes)01Acquiring skills and ability to model usual engineering systems in the specific field of computer sciences.02Make correct use of optimization techniques to solve problems in the specific field of linear programming.03Interpret and be able to communicate adequately the results of the analysis performed with integer optimization techniques.04Make correct use of models and basic algorithms in network optimization.05Interpret and be able to communicate adequately the results of the analysis performed with linear optimization techniques.ContentsLecture topicsTeaching unitsU1Introduccion to Operations Research.U2Linear ProgrammingU3Linear Integer Programming.U4Network optimizationAssociation between objectives and unitsObjective/UnitU1U2U3U40102030405ScheduleWeekTeaching unitsDirected hoursShared hoursAutonomous hoursTotal hours1U121142U1424103U1,U2424104U2424105U2424106U2424107424108U3424109U34241010U44241011U442410124241013U44251114U45351315U452512Course contentsBasic bibliographyBazaraa, M. S. Jarvis, John J. / Sherali, Hanif D. 1952-. "Programación lineal y flujo en redes". Mexico Limusa 1998. Hillier, Frederick S. Lieberman, Gerald J. "Investigación de operaciones". Madrid[etc.] McGraw-Hill 2010. Taha, Hamdy A. Navarro Salas, Rodolfo trad. / Martínez del Campo Varela, Guillermo, rev / Román Tapia, Bonifacio rev / García Reyes, Heriberto rev. "Investigación de operaciones una introducción". México Pearson Educación 2012. Winston, Wayne L. "Investigación de operaciones [aplicaciones y algoritmos]". México D. F. Grupo Editorial Iberoamérica cop. 1994. Complementary bibliographyRíos Insua, Sixto. "Programación lineal y aplicaciones : ejercicios resueltos ". Madrid Ra-ma 1997. Linkshttp://www.informs.orgSoftwareMicrosoft Office 2016RStudioMethodology and gradingMethodologyCase studies: Learning through the analysis of actual or simulated cases in order to interpret and resolve them by employing various alternative solution procedures.Lecture: Pass on knowledge and activate cognitive processes in students, encouraging their participation.Problem-based learning: Develop active learning strategies through problem solving that promote thinking, experimentation, and decision making in the student.Solving exercises and problems: Exercise, test, and apply previous knowledge through routine repetition.GradingThe final grade is derived as follows:final note= 0.75*EF +0.2*EC +0.05*T,whereEF = final exam score (0-10);EC = rating of computer practices (0-10), evaluated with a practical exam in a computer room;T = score for participation (0-10). Core values are the number of units and their quality.To pass the course will need to obtain at least 5 points in EF, 4 in EC, and a final grade equal to or greater than 5 points.