Subject

XSL Content

Civil Engineering Systems

General details of the subject

Mode
Face-to-face degree course
Language
English

Description and contextualization of the subject

To introduce students to the methods and techniques of Applied Systems Analysis. To develop students¿ skills in using Applied System Analysis in the design and planning of complex and large-scale engineering systems

Teaching staff

NameInstitutionCategoryDoctorTeaching profileAreaE-mail
BLANCO ILZARBE, JESUS MARIAUniversity of the Basque CountryProfesorado Titular De UniversidadDoctorNot bilingualFluid Mechanicsjesusmaria.blanco@ehu.eus
EGUIA LOPEZ, PABLOUniversity of the Basque CountryProfesorado AgregadoDoctorNot bilingualElectrical Engineeringpablo.eguia@ehu.eus
ESTEBAN ALCALA, GUSTAVO ADOLFOUniversity of the Basque CountryProfesorado Titular De UniversidadDoctorNot bilingualFluid Mechanicsgustavo.esteban@ehu.eus

Competencies

NameWeight
Apply NPV and IRR methods to evaluate Engineering projects25.0 %
Carry out risk analysis of Engineering projects25.0 %
Analyse and develop models of Engineering systems which may be used with Engineering Optimisation Methods25.0 %
Apply Engineering Optimisation to identify optimal solutions to problems, interpret the results and carry out sensitivity analysis25.0 %

Study types

TypeFace-to-face hoursNon face-to-face hoursTotal hours
Lecture-based305181
Seminar202444

Training activities

NameHoursPercentage of classroom teaching
Drawing up reports and presentations4.0100 %
Individual study51.00 %
Lectures30.0100 %
Seminars20.0100 %
Student's personal work20.00 %

Assessment systems

NameMinimum weightingMaximum weighting
Drawing up reports and presentations10.0 % 30.0 %
Written examination70.0 % 90.0 %

Learning outcomes of the subject

Describe relevant parts of the Applied Systems Analysis method for system engineering planning and design, and technology evaluation, of relevance to engineering practice in its social and business context.

Identify, formulate, analyse and solve problems drawn from engineering practice in their technical, social and business context using the relevant parts of Applied Systems Analysis method and techniques, particularly NPV and IRR methods.

Derive and apply selected techniques of Applied System Analysis, Optimization, and Evaluation to examples (e.g. Information Gathering, Information Analysis, Economic and Social Benefits Analysis (incl. risk analysis), and project evaluation.

Complement examples for Applied Systems Analysis with relevant technical analysis of complex engineering systems.

Use a computer to solve an Engineering Optimisation problem and interpret the solution.

Temary

Lesson 1. Introduction to Project Economic Evaluation

Lesson 2. Net Present Value Methods

Lesson 3. Annualised Costs and Capital Recovery

Lesson 4. Internal Rate of Return

Lesson 5. Applications in Civil Engineering I

Lesson 6. Applications in Civil Engineering II

Lesson 7. Introduction to Numerical Optimisation in Engineering

Lesson 8. Systems Analysis / Linear Programming

Lesson 9. Solution of Linear Programming Problems

Lesson 10. Dynamic Programming

Lesson 11. Applications in Renewable Energy

Lesson 12. Sensitivity Analysis

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