CIV-E1060 - Engineering Computation and Simulation, Lecture, 24.10.2022-15.12.2022

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Please note! Course description is confirmed for two academic years, which means that in general, e.g. Learning outcomes, assessment methods and key content stays unchanged. However, via course syllabus, it is possible to specify or change the course execution in each realization of the course, such as how the contact sessions are organized, assessment methods weighted or materials used.

LEARNING OUTCOMES

1. Recognising the possibilities, advantages and risks of applying computational methods and simulation tools in engineering problems
2. Realizing the role of verification, validation and uncertainty quantification in computational science and engineering
3. Understanding of the theoretical foundations of the most relevant computer methods applied in civil engineering: finite element methods (FEM), finite difference methods (FDM) and collocations methods (CM)
4. Ability to apply the most relevant numerical methods in civil engineering (FEM, FDM, CM) by implementing well-structured simple programs for solving basic engineering problems
5. Ability to apply the general-purpose software tools (FEM) for solving engineering problems from different subfields of civil engineering for solving basic engineering problems

Credits: 5

Schedule: 24.10.2022 - 15.12.2022

Teacher in charge (valid for whole curriculum period):

Teacher in charge (applies in this implementation): Jarkko Niiranen

Contact information for the course (applies in this implementation):

CEFR level (valid for whole curriculum period):

Language of instruction and studies (applies in this implementation):

Teaching language: English. Languages of study attainment: English

CONTENT, ASSESSMENT AND WORKLOAD

Content

  • valid for whole curriculum period:

    Week 1:
    - Modelling principles and boundary/initial value problems in engineering sciences
    - Basics of numerical integration and differentiation
    Week 2:
    - Basic 1D finite difference and collocations methods
    - Finite difference methods for two-variable problems
    Week 3:
    - Energy methods and basic 1D finite element methods
    Week 4:
    - Basic 2D and 3D finite element methods
    Week 5:
    - Finite element methods for Euler--Bernoulli beam models and frame structures
    Week 6:
    - Finite element methods for 2D and 3D elasticity
    - Basics of algorithmic design in architectural engineering
    Week 7:
    - Exam

    (The actual order of some of the weeks 1--6 may vary.)

Assessment Methods and Criteria

  • valid for whole curriculum period:

    1. Theoretical home assignments:
    - returned according to weakly deadlines (assessed weekly by assistants)

    2. Computer home assignments:
    - returned according to weakly deadlines (assessed weekly by assistants)

    3. Final exam:
    - on week 7 (assessed by the lecturer)

    The final grade (0 5) is composed of the points collected from the final examination (50% = 18 pts) and exercise assignments (theoretical 25% = 9 pts, computer 25% = 9 pts). The passing grade 1 can be achieved by about 50% (18 pts) of the total maximum (36 pts).

Workload

  • valid for whole curriculum period:

    Lectures: 2 double-hours per week (24 h = 18%)
    - contact teaching: attending the lectures (pre-browsing, listening, writing notes, asking etc.)

    Reading: 2 double-hours per week (24 h = 18%)
    - self-studies: reading and writing the derivations in the lecture slides and/or textbook

    Theoretical Exercises: 2 double-hours per week (24 h = 18%)
    - contact teaching: advice hours for theoretical hands-on exercises instructed by assistants

    Computer Exercises: 1 double-hour per week (12 h = 9%)
    - contact teaching: advice sessions for computer hands-on exercises instructed by assistants

    Theoretical Home Assignments: 4 hours per week (24 h = 18%)
    - a few per week
    - self-studies for theoretical hands-on exercises: problem solving, calculating, writing solution documents

    Computer Home Assignmens: 2 hours per week (12 h = 9%)
    - a few per week
    - self-studies for computer hands-on exercises: problem solving, learning software features, preparing solution documents

    Final exam and preparation: 3 + 10 hours (13 h = 10%)

DETAILS

Substitutes for Courses
Prerequisites
SDG: Sustainable Development Goals

    9 Industry, Innovation and Infrastructure

    11 Sustainable Cities and Communities

FURTHER INFORMATION

Further Information

  • valid for whole curriculum period:

    Teaching Language : English

    Teaching Period : 2022-2023 Autumn II
    2023-2024 Autumn II

    Enrollment :

    Registration in the Sisu-system is required.

Rules of Conduct - Students´ Rights and Responsibilities (in force from 1 August 2020)

Aalto University Code of Academic Integrity and Handling Violations Thereof