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JOH21EMC Experts in Medical Computing -täydennyskoulutus

Basis of Education

UEFin hankekoulutus. Savonia toteuttaa osan valinnaisista opinnoista.

Course Table

Code Name 1 S 1 K 2 S 2 K 3 S 3 K 4 S 4 K
 
Experts in Medical Computing studies
4 JOHEMC11 Business Intelligence (BI) 5              
4 JOHEMC21 Data preprocessing and analysis 5              
4 JOHEMC31 Client-Oriented Social and Health Care Services EMC 5              
4 JOHEMC41 Medical Imaging and Digital Image Processing 5              
4 JOHEMC51 Leadership, management and innovations in business development 5              
4 JOHEMC61 Big Data and IoT for Digital Health 5              
4 JOHEMC71 Being An Agile leader
4 JOHEMC81 Introduction to Extended Reality (XR) and virtual technologies
4 JOHEMC91 Internship and Project Work

Opintojaksokuvaukset

4 JOHEMC11 Business Intelligence (BI)

Credits
5 cr
Credits in Foreign Language
5 cr
Objectives
The student is able to: -evaluate data sources degree of reliability -use raw data and combine it to other data sources -know differences and benefits of BI programs -basic use of main software of BI -analyze data on visual form
Content
Using different data sources and combine them to get utilized information to analyse. Data relationships, data analysis expression and context. Know-how of BI software Microsoft PowerBI Tableau and Qlik. Visualization, scalable dashboards and interactive reports.
Requirements
Remote attendance
Grading Scale
0 - 5
Course material
Basic data and business material from teacher and students own reports, dashboards and articles
Prerequisites
If student have Mac there has to be installed virtual computer (MS PowerBI program works only in PC environment) or they can use Savonia's virtual desktop.
Other considerations
Should own PC with internet connection. If student have Mac there has to be installed virtual computer (MS PowerBI program works only in PC environment) or they can use Savonia's virtual desktop. EQF level 6.
Contact
Konttinen Jaana


4 JOHEMC21 Data preprocessing and analysis

Credits
5 cr
Credits in Foreign Language
5 cr
Objectives
Students will learn how to transform the raw data in a useful and efficient format, understanding of descriptive and predictive modelling and how to validate results.
Content
Data cleaning, data integration, data transformation, data reduction, descriptive modelling, predictive modelling, evaluating methods, goodness of the model, Matlab.
Requirements
Remote attendance
Grading Scale
0 - 5
Course material
Online material in Moodle environment.
Prerequisites
-
Other considerations
EQF level 6.
Contact
Skön Jukka-Pekka


4 JOHEMC31 Client-Oriented Social and Health Care Services EMC

Credits
5 cr
Credits in Foreign Language
5 cr
Objectives
The student is able to: -describe social and health care services and the key features of related legislation -describe the values and ethical basis of a welfare society -explain the importance of social and health care services in the society and for an individual client -apply the safety and security requirements of the social and health care field -explain the principles of entrepreneurial approach and the importance of people-oriented development of services -describe the rights of a client and a professional
Content
Essential social and health care services and related legislation. The basis of a welfare society and the roles of a client and a professional. Data protection and security as well as digitalization of social and health care services. Voluntary intrapreneurship and entrepreneurship in social and health care. The development of people-oriented social and health care services through service design.
Requirements
Remote attendance
Grading Scale
Passed - 0
Course material
Online material in Moodle
Prerequisites
-
Other considerations
The course is offered primarily for the students in the EMC program. EQF level 6.
Contact
Kellomäki Markku


4 JOHEMC41 Medical Imaging and Digital Image Processing

Credits
5 cr
Credits in Foreign Language
5 cr
Objectives
After the course, the student is able to understand digital image properties, basics of imaging and apply digital image processing methods using Matlab / Octave. In addition, the student is familiar with common medical imaging and image processing methods.
Content
Digital image, digital imaging, digital image processing, Matlab, Octave, medical imaging
Requirements
Remote attendance
Grading Scale
0 - 5
Course material
Course textbook: “Digital Image Processing” by Rafael C. Gonzalez and Richard E. Woods, online material in Moodle
Prerequisites
-
Other considerations
The course is offered primarily for the students in the EMC program. EQF level 6.
Contact
Kellomäki Markku


4 JOHEMC51 Leadership, management and innovations in business development

Credits
5 cr
Credits in Foreign Language
5 cr
Objectives
Students understand the future trends and a changing operating environment. Students are able to utilize innovation methods in the productization of services. Students are able to lead the process of change and to develop a new operating methods and processes. Students will understand the implications of technology for management and renewable operating environments.
Content
Students knows the future trends and most important management and technology concepts and are able to apply them in the field of health services. He is able to utilize innovation methods in the productization of services and produces new ways of working, The student understands a changing operating environment and is able to apply the skills in health care services and management.
Requirements
Remote attendance
Grading Scale
0 - 5
Course material
Articles, online materials and exercises and individual study
Prerequisites
No prerequisites
Other considerations
The course is offered only for the students in the EMC programme. EQF level 6.
Contact
Järvenpää Titta


4 JOHEMC61 Big Data and IoT for Digital Health

Credits
5 cr
Credits in Foreign Language
5 cr
Objectives
After the course, students are able to understand principles of mining and analyzing massive unstructured data sources Students will become familiar with basics concepts, methods and tools of Big Data solutions. Basic principles of Internet of Things ecosystems in general will become familiar. Students will be able to understand the whole IoT chain from sensors to cloud computing and be able to define key requirements for Digital Healthcare IoT system.
Content
Concepts and tools in Big Data. Analysis and visualization of data, IoT, sensors, cloud computing
Requirements
Remote attendance
Grading Scale
0 - 5
Course material
Online material in Moodle
Prerequisites
-
Other considerations
The course is offered primarily for the students in the EMC programme. EQF level 6.
Contact
Kellomäki Markku, Skön Jukka-Pekka


4 JOHEMC71 Being An Agile leader

Credits
5 cr
Credits in Foreign Language
5 cr
Objectives
Student understand the Agile Leadership and understand Agile Leadership basic methods. The student learns to apply Agile Leadership and Agile thinking from daily management to the strategic management. The student will learn why agile leadership is central to effective leadership in today’s era of constant change. The student earns to challenge his/her own leadership abilities in order to improve.
Content
Student understand the Agile Leadership as a concept, and he/she can apply the methods of working-life. Student understand what Agile mindset is and how it can affect to the organization, how results are measured and how to inspire other to a new way of working.
Requirements
Organized as a web-based course. Assignments.
Grading Scale
0 - 5
Course material
Will be announced at the beginning of the course
Prerequisites
-
Contact
Järvenpää Titta


4 JOHEMC81 Introduction to Extended Reality (XR) and virtual technologies

Credits
5 cr
Credits in Foreign Language
5 cr
Objectives
Upon completing the course, the graduates - are aware of the importance of digitalization - are aware of the value of XR technologies in the different field of expertise - have profound knowledge of the basic fields of XR: virtual reality (VR), augmented reality (AR) and mixed reality (MR) - know use, limitations and future potential of XR - know basis of software development, methods and best practices - know how to create virtual tours (e.g. Thinglink and Matterport) - know main techniques used in XR: e.g. game engines (Unity, Unreal engine), Programming languages (C++, C#), 3D modelling (Blender, 3DsMax/Rhino) and how those technologies are used in XR development - know main VR and smart glasses used in XR (e.g. Hololens, Vuzix) and know use, limitations and future potential of them
Content
- Virtual technologies: XR, VR, AR, MR - Technologies used in virtual tours (Thinglink, Matterport) - technologies used in XR (e.g. game engines, programming languages, 3D modelling) - VR and smart glasses
Requirements
Organized as a web-based course. Assignments.
Grading Scale
0 - 5
Course material
Will be announced at the beginning of the course
Contact
Skön Jukka-Pekka, Mähönen Anssi


4 JOHEMC91 Internship and Project Work

Credits
30 cr
Credits in Foreign Language
30 cr
Objectives
Learning outcomes Students will gain hands-on experience of the challenges of the business and hospital world in the field of medical computing, benefiting them on future career paths. Students develop their problem-solving skills through the work assignments assigned to them. Students expand their meta-skills, such as individual and group work, resource management and integration, and production-centric thinking. Students actively network with medical computing actors. Students demonstrate the knowledge, skills and experience they developed during the internship by writing a report. Students will gain a basic understanding of technical reporting, visualization, analysis, and academic writing skills related to the topic of their project.
Content
Content Students collaborate with business partners and/or Kuopio University Hospital doctors and researchers. Forms of cooperation are agreed together at the beginning of the internship period: they are research- or development-focused. Students receive materials and guidance for their work from partners and work according to their instructions. Unless otherwise agreed, the work is not critical for production or clinical work. In the report (to be written in English), students describe the backgrounds, research methods or development work and results of their project and analyze these (primary results, constraints and future research work). The report will be reviewed by the project partners prior to the evaluation to ensure that confidentiality of information is not breached.
Requirements
Modes of study Individual work, remote work, partial remote work or work under the supervision of internship partner(s) and Savonia and / or UEF. Offering data: The course is offered primarily for the students in the EMC programme.
Grading Scale
Passed - 0
Course material
Study materials Provided by internship partner
Other considerations
Further information / Teaching language: English / Finnish depending on internship work, the report is written in English
Contact
Kellomäki Markku, Järvenpää Titta


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