CIV-E1060 - Engineering Computation and Simulation, Lecture, 24.10.2022-15.12.2022
This course space end date is set to 15.12.2022 Search Courses: CIV-E1060
Översikt
-
This course belongs to the six-pack of the compulsory courses forming the module Common Studies of the MSc program Building Technology. Therefore -- according to the name of the course, Engineering Computation and Simulation -- this course has a twofold goal: providing
- some generic fundamentals concerning computational engineering models, methods and software for civil (or mechanical) engineering students orienting to any direction of advanced studies
- a solid foundation for advanced studies for students focusing on analysis and simulation in (civil) engineering, structural design and engineering, building physics or fire safety engineering.
START & END
The course starts with a lecture on Tuesday the 25th of October at 12.15 in the lecture hall U1 of the building Kandidaattikeskus.
Week 1: no Monday exercises, the course starts with a Tuesday lecture
Week 7: no other activities than the examination
Weeks 8 and 9 (until the end of the year): compensating elective Project Works on Topics 8 and 9REGISTRATION
Students are asked to register to the course in the Sisu-system:1. Registrate to Course first.
2. Registrate to Theoretical Exercises by choosing between groups- A (max. 36): Thursdays 10--12 and Fridays 12--14 (class room sessions, hall 202 in the building Konetekniikka 1)
- B (max. 36): Thursdays 12--14 and Fridays 14--16 (class room sessions, hall 202 in the building Konetekniikka 1).
- A (max. 61): Mondays 12--14 (class room sessions, class Maari C-D in the building Maarintalo)
- B (max. 30): Mondays 14--16 (class room sessions, class U257 in the building Kandidaattikeskus).
PEOPLE
Professor-in-Charge: associate professor Jarkko NiiranenLecturer: associate professor Jarkko Niiranen
Assistants: doctoral student Tomi Kankkunen, teaching assistant Mehdi ArazmLECTURES
Tuesdays 12--14 (class U1 in the building Kandidaattikeskus)
Thursdays 14--16 (class M1 in the building Kandidaattikeskus)EXERCISES
Theoretical -- Group A: Thursdays 10--12 and Fridays 12--14
Theoretical -- Group B: Thursdays 12--14 and Fridays 14--16
Computer -- Group A: Mondays 12--14
Computer -- Group B: Mondays 14--16ACTIONS & WORKLOAD
It should be noticed that more than 50% of the hours related to the "holy trinity" of teaching--studying--learning is related to independent studying (reading and preparation 26%, theoretical assignments 27%), whereas contact teaching covers the smaller complement (lectures 18%, exercise sessions 27%, examination 2%).The following nominal hours (total 133) should guarantee for a student with average prerequisites (grade 3, good) middle range learning outcomes (with the average grade 3, good).
Contact Teaching -- Lectures 18%:
- 2 double-hours per week (total 24)
- attending the lectures: pre-browsing, listening, writing notes, asking etc.
Contact Teaching -- Theoretical Exercise Sessions 18%:
- 2 double-hours per week (total 24)
- advice hours for theoretical hands-on exercises (instructed by the assistants)
Contact Teaching -- Computer Exercises Sessions 9%:
- 1 double-hour per week (total 12)
- advice sessions for software hands-on exercises (instructed by the assistants)Independent Studying -- Reading 18%:
- 2 double-hours per week (total 24)
- self-studies: reading and writing the derivations in the lecture slides and/or textbook
Independent Studying -- Theoretical Assignments 18%:
- 4 hours per week (total 24)
- self-studies for theoretical, hands-on exercises: problem solving, calculating, writing solution documents
Independent Studying -- Computer Assignments 9%:
- 2 hours per week (total 12)
- self-studies for software, hands-on exercises: reading manuals, programming, modeling, preparing solution plotsFinal Exam and Preparation 10%:
- 3 + 10 hours (total 13)LEARNING OUTCOMES
1. Recognising possibilities, advantages and risks of applying computational methods and simulation tools in engineering problems
2. Realizing of 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 by implementing well-structured programs for solving basic engineering problems (FEM, FDM, CM)
5. Ability to apply the basic civil engineering (FEM) software tools for solving engineering problems from different fields of civil engineeringEXAMS
Exam 1 of the course (Dec 5, Mon, 13--16, hall E, Undergraduate Centre) will be a standard class room exam:
-- nothing else than a pencil (or pen) and an eraser will be allowed
-- some items of the problems will be mini-essays without any calculations,
-- some items of the problems will require similar calculations as the weekly theoretical exercises.
Accordingly, the exam targets at assessing both theoretical understanding and calculation skills and routine but not computer skills.Exam 2 (Feb 21) will be similar.
- some generic fundamentals concerning computational engineering models, methods and software for civil (or mechanical) engineering students orienting to any direction of advanced studies