Syllabus

LEARNING OUTCOMES

After completing the project, you will be able to:

• use computational tools to tackle a real-life engineering problem;
• develop their computational skills and gain deeper theoretical knowledge in a specific field;
• work effectively as a team;
• report and discuss their team s progress with colleagues and supervisors.

Credits: 10

Schedule: 05.09.2022 - 15.12.2022

Teacher in charge (valid for whole curriculum period):

Teacher in charge (applies in this implementation): Junhe Lian

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:

  After two years of hard learning and exercising, The “Computational Engineering Project” course is to help you get in touch with current and ongoing research projects that the professors and researchers working on at the moment in groups and evenly prepare you for the Bachelor thesis. You will work in a group of 2-3 persons on a research topic. There is a supervisor/daily advisor for each group, who will offer the topic and supervision during the entire course. The topics will feature a broad spectrum covering many aspects that you have been learning and training for, including mainly computational, but also hybrid experimental-computational work in all possible fields in mechanical, material, and civil engineering.

  At the beginning of Period I, all topics will be published on MyCourses. A central kick-off lecture will be arranged for you to learn detailed information. Those of you who are interested in a specific topic will directly select and register on MyCourses. Afterward, you shall contact the supervisor/advisor to work on the topic. The rest of the work is defined by you and your supervisor/advisor. Four mandatory grades, listed below, are required to evaluate the project. In addition, optional deliverables such as scripts, programs, etc., can be defined by each supervisor/advisor in their projects.

Assessment Methods and Criteria

• valid for whole curriculum period:

  • Daily performance (20%). 
  • Mid-term workshop (10%). A get-together seminar in the last week of period I to check the project progress.
  • Final publishable report (50%). 
  • Final public seminar (20%). All presentations of all groups shall be held on the same day to preserve the seminar style in the last week of period II.
  • Optional deliverables (10%). This is a bonus for the groups that make outstanding deliverables and performance. 

Workload

• valid for whole curriculum period:

  Seminars, Group work, Group discussion, Workshops, Reports.

DETAILS

Substitutes for Courses

• valid for whole curriculum period:

  Substitutes for Courses

Prerequisites

• valid for whole curriculum period:

  Prerequisites

FURTHER INFORMATION

Further Information

• valid for whole curriculum period:

  Teaching Language : English

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

  Enrollment :

  Registration for the course via Sisu (sisu.aalto.fi).

Description