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Introduction to Applied AI for Manufacturing Industry

  • Credits 3  credits
  • Education level Second cycle
  • Study location Distance with no obligatory meetings
  • Course code PPU483
  • Main area Product and Process Development


Do you want to learn how to manage and process data to build AI applications for the manufacturing industry?

About the course

Applied AI refers to AI technology that is used for practical purposes, usually within an industry or organization. Applied AI can be used to help people make better decisions, work more efficiently, and to automate processes. This course will provide you with the knowledge to collect, manage, process and analyze data to build AI applications for the manufacturing industry. You will learn the latest tools and techniques to analyze large datasets, apply machine learning algorithms, and present your results.

You will learn

  • the basic concepts of machine learning and big data
  • the most important prerequisites and challenges in using big data and machine learning in the manufacturing industry
  • to understand and use suitable tools for analyzing large data sets and presenting the analysis results

At the end of the course, you will have knowledge and understanding of the principles of machine learning and big data, and the ability to apply these concepts to different problems in the manufacturing industry.

Requirements

Below you find the entry requirements for the course. If you do not fulfill the requirements, you can get your eligibility evaluated based on knowledge acquired in other ways, such as work experience, other studies etcetera. Read more in Application information below.

Occasions for this course

Spring semester 2024

  • Spring semester 2024

    Scope

    3 credits

    Time

    2024-01-15 - 2024-03-24 (part time 20%)

    Education level

    Second cycle

    Course type

    Freestanding course

    Application code

    MDU-14525

    Language

    English

    Study location

    Independent of location

    Teaching form

    Distance learning
    Number of mandatory occasions including examination: 0
    Number of other physical occasions: 0

    Course syllabus & literature

    See course plan and literature list (PPU483)

    Specific requirements

    75 credits in mechanical engineering, production engineering, product and process development, computer engineering and/or computer science or equivalent or 40 credits in engineering/technology and at least 2 years' experience in full-time employment in a relevant area within industry.
    In addition, Swedish course B/Swedish course 3 and English course A/English course 6 are required. For courses given entirely in English exemption is made from the requirement in Swedish course B/Swedish course 3.

    Selection

    Work experience/university credits

  • Spring semester 2025

    Scope

    3 credits

    Time

    2025-01-20 - 2025-03-30 (part time 20%)

    Education level

    Second cycle

    Course type

    Freestanding course

    Application code

    MDU-14525

    Language

    English

    Study location

    Independent of location

    Teaching form

    Distance learning
    Number of mandatory occasions including examination: 0
    Number of other physical occasions: 0

    Course syllabus & literature

    See course plan and literature list (PPU483)

    Specific requirements

    75 credits in mechanical engineering, production engineering, product and process development, computer engineering and/or computer science or equivalent or 40 credits in engineering/technology and at least 2 years' experience in full-time employment in a relevant area within industry.
    In addition, Swedish course B/Swedish course 3 and English course A/English course 6 are required. For courses given entirely in English exemption is made from the requirement in Swedish course B/Swedish course 3.

    Selection

    Work experience/university credits

Questions about the course?

If you have any questions about the course, please contact the Course Coordinator.

Senior Lecturer

Anas Fattouh

+4616153299

anas.fattouh@mdu.se

Application information

You’ll find the entry requirements in the course description. After submitting your application, the next step is to submit documentation to demonstrate your eligibility for the course. Most academic credentials from Sweden are retrieved automatically. Wait a few days after submitting your application - if you still can’t see your academic credentials om My pages, please upload them.

If you have studied in another country, you must provide transcripts of your academic studies and of your English proficiency. Exactly what you need to submit and how, depends on several factors. You can read more on universityadmissions.se or antagning.se.

If the course requires work experience, you need to provide an employer’s certificate. You can download a template for employer’s certificate below.

No academic qualifications?

Many courses requires that you have previous academies studies, but we can validate work experience to determine whether you have the qualifications for the course.

If you don’t have the formal qualifications required, please send in a certificate of employment (current or previous) and a CV/Description of competence that describes your educational and professional background. Please include a short description of your work experience, not only the work title.

Use the CV/ Description of competence template below and fill in the information requested.

You can also use our template for Employers certificate if you like.

Download a template for CV/Description of competence Word, 45.5 kB, opens in new window.

Download a template for Employers certificate Word, 38 kB, opens in new window.

If you have any questions regarding eligibility or application please send an e-mail to lifelonglearning@mdu.se