Manufacturing Technology (5 cr)

Evaluation scale

0-5

Content scheduling

The scheduling of the course content is determined by the dates of the contact days.

Objective

Knowledge of manufacturing methods is the basis for making production engineering solutions and choices in a company engaged in production.

You will learn to master the basics of the most common manufacturing methods in machine shops and the machines, equipment and tools used in them. You will learn to understand how and by what methods the finished products are attained.

The development of your skills begins with an understanding of the basic concepts of manufacturing technology. Further progress is made in knowing, comparing and applying the details of manufacturing methods.

After completing the course, you will be able to explain the operating principles of the most common manufacturing methods and construct technically and economically suitable manufacturing chains taking into account the principles of sustainable development.

Knowledge and understanding:
You have knowledge and understanding of the machines, equipment, tools, engineering technologies and processes applicable to the workshop and of their limitations.

Engineering practice:
You have the ability to develop and design production processes and systems, which may include health, safety, environmental, technical and economic opportunities or constraints.

Content

Casting methods, traditional machining, sheet metal works and stamping technology, welding processes, surface treatment methods and additive manufacturing.

Materials

Lecture material,
Where applicable: Ihalainen, Aaltonen, Aromäki ja Sihvonen. Valmistustekniikka. Otatieto Oy. ISBN: 9789516723337.

Teaching methods

Lectures that introduce different aspects of manufacturing technology and learning tasks based on information retrieval and application. Laboratory exercises demonstrate the operation of machines, devices and tools. In the middle of the course, free form anonymous feedback is collected for the development of the course.

The implementation of the course is based on both in-class contact teaching and IT distance learning. Each contact has a theme related to manufacturing technology. During the course, students work in groups on four assessed learning assignments, which are returned in writing. In addition, written assignments or returnable exercises to the online learning environment are performed independently. The course includes three laboratory parts.

The responsible and transparent use of AI applications is encouraged in this course. Instructions for using artificial intelligence can be found in chapter 3.2 (https://help.jamk.fi/raportointiohje/fi/3-kirjoittamisprosessi/tekoalyn-kaytto-oppimistehtavissa-ja-opinnaytetyossa/) of the thesis reporting instructions. If necessary, the instructions for each learning assignment contain more detailed information on how to use it in that particular task.

If a student has not attended the lectures during the first week and fails to submit Assignment 1 by the deadline, the student will be removed from the study course, and after that can no longer participate in this implementation of the course.

Employer connections

If possible, a representative of the manufacturing industry will give a visiting lecture during the study period.

Exam schedules

Exam in the last contact teaching session of the course. Two replays; the first in February 2025, the second in May 2025. Re-exams are conducted in an exam studio.

Completion alternatives

The course is based on contact teaching and attendance in lectures / laboratories as well as independent distance learning. The assessment of previous competence is made on the first contact. Based on previous education and work experience, it is possible to get exemptions where applicable.

Student workload

In multimodal implementation:
lectures 15 h,
laboratory work 9 h,
learning assignments 86 h,
independent work 25 h.
A total of 135 h of learning work.

Assessment criteria, satisfactory (1)

The overall assessment consists of 50% of the exam and 50% of the learning assignments and laboratory work.
To receive a numerical grade, you must take a supervised exam.
In face-to- face learning, the test is mandatory. The examinations are held three times in accordance with the degree rule.

Adequate (1): You can identify the majority of the most common manufacturing methods in machine shops, but you have significant gaps in their identification and selection tasks.

Satisfactory (2): You are generally familiar with the most common manufacturing methods in machine shops, but you have gaps in their identification and selection tasks.

Assessment criteria, good (3)

Good (3): You master the essential knowledge and skills covered by the course:
- you are familiar with the most common types of mechanical engineering workshops and their structures
- you are familiar with the most common manufacturing methods in machine shops and know how to form them into production chains from raw materials to finished products
- you are able to implement selections between different manufacturing methods

Very good (4): You know exactly the most common manufacturing methods in machine shops and you are able to expertly identify them and make choices between them. In addition, you are be able to widely and fairly compare different manufacturing methods and form alternative manufacturing chains from them.

Assessment criteria, excellent (5)

Excellent (5): You know exactly the most common manufacturing methods in machine shops and you are able to expertly identify them and make choices between them. In addition, you are be able to compare different manufacturing methods with a broad justification. Your expertise will also reach you to apply what you have learned critically and innovatively in exercises and in practice.

Qualifications

No special requirements. Motivation is the most important factor leading to learning. Basic technical skills contribute to the study of the course, but are not necessary.

Further information

Continuous developmental feedback in learning tasks.
Assessment consists of exam 50% and learning assignments 50%.
Additional points for the exam can be obtained from certain defined practice tasks.