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CAD - Basics of Modelling Part 1 (3 cr)

Code: TR00BO43-3003

General information


Enrollment

01.08.2023 - 24.08.2023

Timing

28.08.2023 - 19.12.2023

Number of ECTS credits allocated

3 op

Mode of delivery

Face-to-face

Campus

Main Campus

Teaching languages

  • English

Degree programmes

  • Bachelor's Degree Programme in Construction and Civil Engineering

Teachers

  • Hannu Haapamaa

Groups

  • TRY23VS
    Rakennus- ja yhdyskuntatekniikka (AMK), vaihto-opiskelu/Exchange studies
  • 29.08.2023 13:15 - 15:45, CAD - Basics of Modelling Part 1 TR00BO43-3003
  • 05.09.2023 13:15 - 15:45, CAD - Basics of Modelling Part 1 TR00BO43-3003
  • 12.09.2023 13:15 - 15:45, CAD - Basics of Modelling Part 1 TR00BO43-3003
  • 19.09.2023 13:15 - 15:45, CAD - Basics of Modelling Part 1 TR00BO43-3003
  • 26.09.2023 13:15 - 15:00, CAD - Basics of Modelling Part 1 TR00BO43-3003
  • 03.10.2023 13:15 - 15:45, CAD - Basics of Modelling Part 1 TR00BO43-3003
  • 10.10.2023 13:15 - 15:45, CAD - Basics of Modelling Part 1 TR00BO43-3003
  • 24.10.2023 13:15 - 15:45, CAD - Basics of Modelling Part 1 TR00BO43-3003
  • 31.10.2023 13:15 - 15:45, CAD - Basics of Modelling Part 1 TR00BO43-3003
  • 14.11.2023 13:15 - 15:45, CAD - Basics of Modelling Part 1 TR00BO43-3003
  • 21.11.2023 13:15 - 15:45, CAD - Basics of Modelling Part 1 TR00BO43-3003
  • 28.11.2023 13:15 - 15:45, CAD - Basics of Modelling Part 1 TR00BO43-3003
  • 05.12.2023 13:15 - 15:45, CAD - Basics of Modelling Part 1 TR00BO43-3003
  • 12.12.2023 13:15 - 15:45, CAD - Basics of Modelling Part 1 TR00BO43-3003

Objectives

Object of the course:
The knowledge and skills you get on this course you will need in order to produce architectural and structural drawings using computer.

Course competences:
- Technological competence
The learning objectives of the course:
You can produce drawings of buildings using computer (f.eg. CAD and BIM), you know drawing symbols and you can produce architectural and structural drawings using modeling and drawing programs. These are also the basic tasks of the course.

Content

Basics of CAD, basics of modeling, exercise and learning tasks, architectural and structural drawings.

This course is the first part of TRRP0002 CAD - Basics of Modelling and is meant only for exchange students.

Learning materials and recommended literature

AutoCAD manuals
Teaching videos

Teaching methods

- Lectures face-to-face / Online Lectures,
- Assignments / Learning assignments,
- Seminars / Workshops
- Teaching Videos
- etc.

Practical training and working life connections

Will be agreed on the first contact lesson of the course.

Exam dates and retake possibilities

Will be agreed on the first contact lesson of the course.

Alternative completion methods

Studification: See the Despcription of Module.

Student workload

Load of the first Autumn (3 ECTS):
- Lectures 40 h
- Independent Work 40 h.
( including among others: Learning assignments, Home Works, preparing for Test)
- Total 80 h

Further information for students

Grading methods
- Test
- Assignments / Learning assignments,
- Continuing Grading
- Self Grading

The Grading is high-quality and it is based on the learning objectives and criterion of the course.
Self Grading has an important role in Student's Grading.

See also Grading

This is the first part , CAD1 3 ECTS, of the total course 5 ECTS.
(The second part, CAD2 2 ECTS, will be on the 1nd Spring.)

Evaluation scale

0-5

Evaluation criteria, satisfactory (1-2)

Passable (1): The student recognizes all of the learning objectives, understands the meaning of them and is able to perform the basic tasks described in the learning objectives of the course.

Satisfying (2): In addition to previous skills, the student can systematically describe the issues of the course.

Evaluation criteria, good (3-4)

Good (3): In addition to previous skills, the student can describe the influences of various solutions and can make reasoned choices between alternatives.

Laudable (4): In addition to previous skills, the student can apply the learned issues independently and is able to evaluate done solutions.

Evaluation criteria, excellent (5)

Excellent ( 5 ): In addition to previous skills, the student shows deep knowledge of course contents as well as ability to parse and wider analyze the influences of solutions.