Manufacturing Technology (5 cr)
Code: TKKP0150-3009
General information
- Enrollment
-
01.08.2024 - 22.08.2024
Registration for the implementation has ended.
- Timing
-
26.08.2024 - 18.12.2024
Implementation has ended.
- Number of ECTS credits allocated
- 5 cr
- Local portion
- 3 cr
- Virtual portion
- 2 cr
- Mode of delivery
- Blended learning
- Unit
- School of Technology
- Campus
- Main Campus
- Teaching languages
- Finnish
- Seats
- 20 - 39
- Degree programmes
- Bachelor's Degree Programme in Mechanical Engineering
- Teachers
- Miikka Parviainen
- Olli Jokinen
- Scheduling groups
- Pienryhmä 1 (Capacity: 45 . Open UAS : 0.)
- Pienryhmä 2 (Capacity: 45 . Open UAS : 0.)
- Pienryhmä 3 (Capacity: 45 . Open UAS : 0.)
- Pienryhmä 4 (Capacity: 45 . Open UAS : 0.)
- Pienryhmä 5 (Capacity: 45 . Open UAS : 0.)
- Groups
-
TKN24SAKonetekniikka (AMK)
-
TKN24SBKonetekniikka (AMK)
-
TKN24S1Konetekniikka (AMK)
-
ZJATKN24S1Avoin amk, Konetekniikka, Päivä
- Small groups
- Scheduling group 1
- Scheduling group 2
- Scheduling group 3
- Scheduling group 4
- Scheduling group 5
- Course
- TKKP0150
Realization has 25 reservations. Total duration of reservations is 62 h 30 min.
Time | Topic | Location |
---|---|---|
Tue 27.08.2024 time 11:30 - 14:00 (2 h 30 min) |
Valmistustekniikka TKKP0150-3009 |
R35FP05
Valjakka Auditorio
|
Tue 03.09.2024 time 11:30 - 14:00 (2 h 30 min) |
Valmistustekniikka TKKP0150-3009 |
R35FP05
Valjakka Auditorio
|
Tue 10.09.2024 time 11:30 - 14:00 (2 h 30 min) |
Valmistustekniikka TKKP0150-3009 |
R35FP05
Valjakka Auditorio
|
Tue 17.09.2024 time 11:30 - 14:00 (2 h 30 min) |
Valmistustekniikka TKKP0150-3009 |
R35C119
Kasvosali (aik)
|
Thu 19.09.2024 time 08:00 - 10:30 (2 h 30 min) |
Valmistustekniikka TKKP0150-3009 Labrat pienryhmissä |
R35DP72.proto
Protopaja
|
Tue 24.09.2024 time 11:30 - 14:00 (2 h 30 min) |
Valmistustekniikka TKKP0150-3009 |
R35FP05
Valjakka Auditorio
|
Wed 25.09.2024 time 08:00 - 10:30 (2 h 30 min) |
Valmistustekniikka TKKP0150-3009 Labrat pienryhmissä |
R35DP72.proto
Protopaja
|
Thu 26.09.2024 time 08:00 - 10:30 (2 h 30 min) |
Valmistustekniikka TKKP0150-3009 Labrat pienryhmissä |
R35DP72.proto
Protopaja
|
Tue 01.10.2024 time 11:30 - 14:00 (2 h 30 min) |
Valmistustekniikka TKKP0150-3009 |
R35FP05
Valjakka Auditorio
|
Wed 02.10.2024 time 08:00 - 10:30 (2 h 30 min) |
Valmistustekniikka TKKP0150-3009 Labrat pienryhmissä |
R35DP72.proto
Protopaja
|
Thu 03.10.2024 time 08:00 - 10:30 (2 h 30 min) |
Valmistustekniikka TKKP0150-3009 Labrat pienryhmissä |
R35DP72.proto
Protopaja
|
Tue 08.10.2024 time 11:30 - 14:00 (2 h 30 min) |
Valmistustekniikka TKKP0150-3009 |
R35D205
Tulikari Auditorio
|
Wed 09.10.2024 time 08:00 - 10:30 (2 h 30 min) |
Valmistustekniikka TKKP0150-3009 Labrat pienryhmissä |
R35DP72.proto
Protopaja
|
Thu 10.10.2024 time 08:00 - 10:30 (2 h 30 min) |
Valmistustekniikka TKKP0150-3009 Labrat pienryhmissä |
R35DP72.proto
Protopaja
|
Tue 22.10.2024 time 11:30 - 14:00 (2 h 30 min) |
Valmistustekniikka TKKP0150-3009 |
R35FP05
Valjakka Auditorio
|
Wed 23.10.2024 time 08:00 - 10:30 (2 h 30 min) |
Valmistustekniikka TKKP0150-3009 |
R35DP72.proto
Protopaja
|
Thu 24.10.2024 time 08:00 - 10:30 (2 h 30 min) |
Valmistustekniikka TKKP0150-3009 |
R35DP72.proto
Protopaja
|
Tue 29.10.2024 time 11:30 - 14:00 (2 h 30 min) |
Valmistustekniikka TKKP0150-3009 |
R35FP05
Valjakka Auditorio
|
Wed 30.10.2024 time 08:00 - 10:30 (2 h 30 min) |
Valmistustekniikka TKKP0150-3009 |
R35DP72.proto
Protopaja
|
Thu 31.10.2024 time 08:00 - 10:30 (2 h 30 min) |
Valmistustekniikka TKKP0150-3009 |
R35DP72.proto
Protopaja
|
Tue 12.11.2024 time 11:30 - 14:00 (2 h 30 min) |
Valmistustekniikka TKKP0150-3009 |
R35FP05
Valjakka Auditorio
|
Wed 13.11.2024 time 08:00 - 10:30 (2 h 30 min) |
Valmistustekniikka TKKP0150-3009 |
R35DP72.proto
Protopaja
|
Tue 19.11.2024 time 11:30 - 14:00 (2 h 30 min) |
Valmistustekniikka TKKP0150-3009 |
R35FP05
Valjakka Auditorio
|
Tue 26.11.2024 time 11:30 - 14:00 (2 h 30 min) |
Valmistustekniikka TKKP0150-3009 |
R35FP05
Valjakka Auditorio
|
Tue 03.12.2024 time 11:30 - 14:00 (2 h 30 min) |
Valmistustekniikka TKKP0150-3009 |
R35FP05
Valjakka Auditorio
|
Evaluation scale
0-5
Content scheduling
The theory lectures are carried out according to the course plan and the lab works according to a separate published schedule.
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 classroom contact teaching. Each contact has a theme related to manufacturing technology. The topics are introduced using both written lecture material and available videos. During the study period, students do eight exercises in pairs, which are returned in written form. 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.
The student must confirm his/her participation in the course within 3 weeks of the start of the course. 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. The main exam is so-called near exam, which is carried out using modern information technology. Two replays; the first in February 2025, the second in May 2025. Re-exams are conducted in an exam studio.
International connections
This course is an introduction to industrial engineering studies. Some of the material is in English.
Completion alternatives
The admission procedures are described in the degree rule and the study guide. The teacher of the course will give you more information on possible specific course practices. The assessment of previous competence is made on the first contact. It is possible to obtain exemptions, where applicable, on the basis of previous study.
Student workload
The calculated load of the course is 135 hours. It is divided between contact teaching, laboratory exercises and eight exercises:
lectures 48 h,
laboratory work 9 h,
learning assignments 48 h,
independent work 30 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 is given in the learning tasks.
Assessment consists of exam 50% and learning assignments 50%.