Academic year 2023 - 2024

• Research-based Development (YZWZ0110-3033),
       28.08.2023 – 19.12.2023,  5 cr  (YTS23S1) — Face-to-face +-
  Learning outcomes of the course

  Purpose of the course
  The purpose of this course is to understand the meaning of research-based development and to get one's own toolkit for development activities
  
  Competences
  Ethical competence
  Learning and information management competence
  Entrepreneurship, innovation and working community competence
  
  Learning outcomes
  After completing this course, you will understand the difference between scientific research and research-based development. You understand the principles of research-based development,, its methodological starting points. You know the process of research-based development. You master and are able to apply some working life development methods in development activities at your filed of practice. You understand the importance of research ethics and good scientific practice in research-based development.

  Course contents

  The starting points and methodology of research-based development
  Research ethics and the responsible conduct of research
  Process and management of research-based development
  Research and development methods, data collection and data analysis
  Assessment as part of research-based development

  Assessment criteria

  Assessment criteria - grade 1 and 2

  Sufficient 1
  The student understands the differences and similarities between research-based development and academic research. The student is able to describe the different stages of the development process and choose methods suitable for their research/development topic. The student understands the significance of research ethics in research-based development.
  
  Satisfactory 2
  The student understands the differences and similarities between research-based development and academic research. The student describes the stages of the development process and chooses methods suitable for their development topic, and reflects on and assesses their suitability with the help of literature. The student understands the significance of research ethics in research-based development.

  Assessment criteria - grade 3 and 4

  Good 3
  The student is able to compare the differences and similarities between research-based development and academic research. The student is able to analyse development processes, methods suitable for their development topic, and reflects on and assesses their suitability with the help of literature. The student understands the significance of research ethics in research-based development.
  
  Very good 4
  The student compares the similarities and differences between research-based development and academic research in a diverse way. The student describes the stages of the development process with justifications, applies methods suitable for their development topic, and reflects on and assesses their suitability critically and with the help of literature.The student understands the significance of research ethics in research-based development.

  Assessment criteria - grade 5

  Excellent 5
  The student is able to critically assess research-based development. The student describes the stages of the development process with justifications, applies methods suitable for their development topic, and critically assesses their suitability for development work in the field. The student understands the significance of research ethics in research-based development.

  Further information

  The course can be studied by using studification combining study & work in accordance with Jamk Degree regulation 17 § the guidelines for identifying and recognizing competence and Jamk processes.

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  Language of instruction

  English

  Location and time

  Online implementation.
  Sessions in Tuula's Zoom.

  Planned learning activities, teaching methods and guidance

  THIS IS AN ONLINE IMPLEMENTATION with webinars approx. one per month.
  
  Individual learning tasks: e.g. Elevator speech, essays, small reports, videos
  Small group work online
  Webinars
  Online Discussions
  Recorded lectures or lectures in webinars

  Learning materials and recommended literature

  Bryman, A. 2012. Social research methods. Oxford: Oxford University Press cop.
  
  Ethical principles and ethical review in human sciences. 2020. Finnish National Board on Research Integrity. www.tenk.fi/en
  
  Kananen, J. 2011. Rafting through the Thesis Process. Jyväskylä: Jyväskylä University of Applied Sciences.
  
  Responsible conduct of research and procedures for handling allegations of misconduct in Finland. 2012. Finnish National Board on Research Integrity. www.tenk.fi/en
  
  Tang, H. 2021. Engineering Research. Design, Methods, and Publication. John Wiley and Sons Inc..

  Lecturer(s)

  Tuula Kotikoski

  Working life cooperation

  If possible, also webinars with R&D experts from the working life

  Timing

  28.08.2023 - 19.12.2023

  Learning assignments and student workload

  - six online webinars 12 h
  - webinars with guest speakers if guest speakers available 0-4 h
  - learning tasks 50 h
  - studying the course material 72 h
  
  Total 135 hours of student work.

  Enrollment

  01.08.2023 - 08.09.2023

  Content scheduling

  Online Implementation:
  Presenting on the online discussion platform is a sign of your participation in the course and it can be confirmed by completing the Ethics task.
  The course is modular, which means it takes 2-3 weeks to complete the materials and learning tasks of each of the five modules.
  
  The course has 2-3 webinars in modules 1 and 2 if guest speakers can be arranged.

  Groups

  • YTS23S1

  Alternative learning methods

  You can complete the course by combining study and work, by studification. Agree on studification of the course with the lecturer in charge of the course. For more information on studification, see the degree regulations and study guide.

  Seats

  20 - 35

  Assessment methods

  Avoin AMK 5 (not translated)

  Degree Programme

  Master's Degree Programme in Information Technology, Full Stack Software Development

  Mode of delivery

  Face-to-face

  Credits

  • 5 cr

  Unit

  School of Technology
• Modern Software Development (YTSP0100-3004),
       28.08.2023 – 19.12.2023,  5 cr  (YTS23S1) — Online learning +-
  Learning outcomes of the course

  The student understands terminology and principles of modern software development and knows most of the important use cases to create and manage modern software architecture.

  Prerequisites and co-requisites

  Basics of JavaScript programming

  Course contents

  The key topics of the course are:
  - Modern software and micro-service architecture
  - Modern software development on common cloud services
  - Serverless development and function as a service
  - DevOps methods
  - Continuous integration and continuous delivery (CI/CD pipeline)
  - Containers and container orchestration
  - Common modern front-end and back-end frameworks

  Assessment criteria

  Assessment criteria, passed/failed

  Pass: The student understands and demonstrates practical implementations of modern software development. The student is able to design and implement a technical pipeline/platform for a modern development environment. The student reflects on his/her own learning commendably.
  
  Fail 0: The student does not meet the minimum criteria set for the course.

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  Language of instruction

  English

  Location and time

  The course will be implemented in the fall semester of 2023.

  Planned learning activities, teaching methods and guidance

  - lectures/online lectures
  - distance learning
  - exercises
  - learning tasks

  Learning materials and recommended literature

  The learning material can be found in the Moodle and GitLab environments.

  Lecturer(s)

  Juha Peltomäki, Juho Pekki

  Timing

  28.08.2023 - 19.12.2023

  Learning assignments and student workload

  One credit corresponds to an average of 27 hours of work, which means that the load of five credits is approximately 135 hours. The load is distributed in different ways depending on the course implementation.

  Enrollment

  01.08.2023 - 08.09.2023

  Groups

  • YTS23S1

  Alternative learning methods

  The admission procedures are described in the degree rule and the study guide. The teacher of the course will give more information on possible specific course practices.

  Seats

  20 - 35

  Assessment methods

  The course is evaluated based on the returned assignments. The assessment methods are reviewed at the beginning of the course.

  Degree Programme

  Master's Degree Programme in Information Technology, Full Stack Software Development

  Mode of delivery

  Online learning

  Share of virtual studies

  5 cr

  Credits

  • 5 cr

  Unit

  School of Technology
• Data Modelling and Back-end Development (YTSP0200-3004),
       08.01.2024 – 30.04.2024,  5 cr  (YTS23S1) — Online learning +-
  Learning outcomes of the course

  Student is able to design, document and implement a database, server-side software, and related application programming interface for a scalable application.

  Prerequisites and co-requisites

  Basics of databases
  Basics of JavaScript programming

  Course contents

  - Advanced data modelling:
  - Back-end architecture
  - Back-end frameworks
  - Server-side programming languages
  - Scalability
  - Application programming interfaces and integration
  - Security settings and hack prevents

  Assessment criteria

  Assessment criteria - grade 1 and 2

  The assessment is based on 1) Data modelling assignment (20%), and 2) Back-end assignment (80%). The assessment focuses on the following:
  1) Data modelling:
  - the student can design a conceptual and a logical data model (comprising of approximately 5 entities/tables) by applying standard data modelling and design techniques based upon an understanding of requirements
  - the models may contain some errors, omissions, and/or inconsistencies
  2) Back-end development
  - complexity: only a simple back-end solution is presented
  - knowledge base and the structure of the implementation: only basic knowledge base is presented
  - choice of the framework and libraries: only the core framework is used
  - realisation of the project work: contains errors, omissions, and/or inconsistencies
  - results and their analysis are vague or missing
  - reporting and presentation: incomplete (no presentation)

  Assessment criteria - grade 3 and 4

  The assessment is based on 1) Data modelling assignment (20%), and 2) Back-end assignment (80%). The assessment focuses on the following:
  1) Data modelling:
  - the student can design a conceptual and a logical data model comprising of at least 5 entities (tables)
  - the models are clear, contain metadata, but may contain minor errors, omissions, and/or inconsistencies
  2) Back-end development
  - complexity: back-end solution contain several end-points
  - choice of the framework and libraries: more than one framework or software library is used
  - knowledge base and the structure of the implementation shows more than just a basic knowledge
  - realisation of the project work is nearly error-free
  - results are reported shortly and their analysis might be missing or incomplete
  - reporting and presentation may be short and/or quick

  Assessment criteria - grade 5

  The assessment is based on 1) Data modelling assignment (20%), and 2) Back-end assignment (80%). The assessment focuses on the following:
  1) Data modelling:
  - the student can design a conceptual and a logical data model comprising of at least 5 entities (tables)
  - the models are detailed, clear, complete containing metadata, and error-free
  2) Back-end development
  - complexity: back-end solution contain several end-points
  - well-argumented choice of the framework and libraries
  - knowledge base and the structure of the implementation is clear
  - realisation of the project work: complete, error-free, consistent
  - results and their analysis: in-depth and thorough
  - reporting and presentation is excellent

  Assessment criteria, passed/failed

  Pass: The student demonstrates skills and knowledge of designing and implementing a back-end solution containing a database, server-side software, and related application programming interface. The result is evaluated during a code and data model review.

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  Language of instruction

  English

  Planned learning activities, teaching methods and guidance

  Project-based learning and online pedagogy: lectures/online lectures, exercises/learning assignments, various methods of online pedagogy (flipped learning)

  Learning materials and recommended literature

  There is no public learning material (books, articles, videos, etc.) that are required for passing the course (‘must know’). Course material is located in the GitLab / LabraNet service.

  Lecturer(s)

  Jouni Huotari, Pasi Manninen

  Timing

  08.01.2024 - 30.04.2024

  Learning assignments and student workload

  One ECTS ~ 27 hours of work. Lectures: 23 h, exercises and assignments: 110 h, data model and code review: 1 + 1 h. Total: 135 h.

  Enrollment

  20.11.2023 - 04.01.2024

  Content scheduling

  The course is held during every spring.

  Groups

  • YTS23S1

  Alternative learning methods

  RPL is in use: the student can show an existing solution made by him- or herself.

  Seats

  20 - 35

  Assessment methods

  The assessment is based on the code and data model review.

  Degree Programme

  Master's Degree Programme in Information Technology, Full Stack Software Development

  Mode of delivery

  Online learning

  Share of R&D studies

  3 cr

  Share of virtual studies

  5 cr

  Credits

  • 5 cr

  Unit

  School of Technology
• User-Centered Design (YTSP0400-3005),
       28.08.2023 – 19.12.2023,  5 cr  (YTS23S1) — Face-to-face, Online learning +-
  Learning outcomes of the course

  The student understands terminology and principles of human-centered design and is able to apply tools and usability evaluation methods in gathering user requirements and feedback for software development.

  Prerequisites and co-requisites

  -

  Course contents

  The key topics are:
  - Concepts, models, methods, procedures, and processes for user-centered design and development of systems and services
  - Designing and delivering user experience (UX)
  - User interface construction
  - Usability evaluation

  Assessment criteria

  Assessment criteria - grade 1 and 2

  The evaluation is based on the quality of the four workshop implementations (total of 80 points). In addition, all the quizzes must be passed. For the grades 1 and 2, you need to get 20 and 30 points, respectively.
  
  To pass the course, you know the basics of user-centered design and you are able to analyse the usability and user experience. In addition, you are able to design a simple user interface based on a requirement definition of an idea.

  Assessment criteria - grade 3 and 4

  For the grades 3 and 4, you need to get 50 and 70 points, respectively.
  
  You know the theory on user-centered design and you are able to analyse the usability and user experience. You are able to design a user interface based on a requirement definition.

  Assessment criteria - grade 5

  For the grade 5, you need to get at least 85 points.
  
  You demonstrate mastery of the theory on user-centered design and you are able to analyse the usability and user experience in a versatile manner. You are able to design an extraordinary user interface based on a requirement definition.

  Further information

  The previous implementations were held by Dr. Marc Pallot. From 2021 onward, the evaluation is based on the quality of the workshop implementations.

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  Language of instruction

  English

  Location and time

  Online (Zoom/Teams) and f2f (Dynamo building)

  Planned learning activities, teaching methods and guidance

  - lectures (both f2f and online => hybrid implementation)
  - independent study and distance learning
  - small group learning (workshops)
  - exercises, quizzes, and learning tasks
  - final seminar

  Learning materials and recommended literature

  Materials in the e-learning environment.

  Lecturer(s)

  Jouni Huotari

  Working life cooperation

  - small group project

  Timing

  28.08.2023 - 19.12.2023

  Learning assignments and student workload

  One credit (1 Cr) corresponds to an average of 27 hours of work.
  - lectures and quidance 8 h
  - exercises and workshops 20 h
  - assignments 72 h
  - independent study 35 h
  Total 135 h

  Enrollment

  01.08.2023 - 08.09.2023

  Groups

  • YTS23S1

  Alternative learning methods

  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.

  Seats

  20 - 35

  Assessment methods

  Evaluation methods include continuous feedback (from teacher), self-assessment, and peer evaluation.

  Degree Programme

  Master's Degree Programme in Information Technology, Full Stack Software Development

  Mode of delivery

  Face-to-face, Online learning

  Share of R&D studies

  2 cr

  Share of virtual studies

  3 cr

  Credits

  • 5 cr

  Unit

  TA10 - IT-instituutti
• New and Emerging Technologies (YTFWV100-3006),
       28.08.2023 – 15.12.2023,  5 cr  (YTS23S1) — Online learning +-
  Learning outcomes of the course

  The learning process should enable to learn at least one state-of-the-art technology and its applications in the chosen technology area. This includes the following learning outcomes:
  
  1.Investigations
  - ability to investigate the application of new and emerging technologies at the forefront of their specialisation
  - ability to identify, locate and obtain required data;
  - ability to conduct searches of literature, to consult and critically use databases and other sources of information, to carry out simulation in order to pursue detailed investigations and research of complex technical issues;
  
  2.Lifelong Learning
  - ability to engage in independent life-long learning;
  - ability to undertake further study autonomously.

  Prerequisites and co-requisites

  This course is for you if
  • you want to get familiar with a new technology and there is no dedicated course for that
  • you have a special interest towards new and emerging technologies a.k.a exponential technologies
  • you want to have proof of your special expertise in your portfolio

  Course contents

  We are living in a constantly changing world. New technologies emerge so rapidly that everybody has a challenge how to learn new things. The course contents is based on your own choice. You can pick any virtual lecture (webinar) or participate courses offered by your company or other organisations (e.g. through MOOCs such as Udemy or Coursera) as long they are dealing with new and emerging technologies.

  Assessment criteria

  Assessment criteria, passed/failed

  Grading Scale: Pass/fail.
  For passing you need to 1) deliver the learning report which contains at least 16 pages (max 32 pages, approximately 5000 words) of lessons learned and 2) a short (ca. 5 minutes) summarising video. The key concepts and main findings (e.g. how to apply the chosen technology) should be presented in a understandable way by following the reporting guidelines provided by the student's own institution (e.g. adding references to previous work).
  Fail (0): The student does now meet the minimum criteria set for the course. We are using an anti-plagiarism system (Turnitin). If text is copied from elsewhere there should be the corresponding references; the total amount of text found elsewhere must be less that 50 %.

  ---

  Language of instruction

  English

  Location and time

  This is a nonstop virtual course: you can start the course anytime you want (during the semester) and return your work (a learning report and a summarising video) any time you want (before the semester ends).

  Planned learning activities, teaching methods and guidance

  This is a fully virtual course. This course suits very well for students who are exploring potential (or current) topic for their thesis.

  Learning materials and recommended literature

  Some starting points (links) are provided through the learning environment. You need to listen presentations about state-of-the-art technology and its applications. You need to pick virtual lectures (webinars) or participate courses offered by your company or other organisations (e.g. through MOOCs such as Udemy or Coursera) so that the total amount of work (listening presentations) is approximately 32 hours.

  Lecturer(s)

  Jouni Huotari

  Timing

  28.08.2023 - 15.12.2023

  Learning assignments and student workload

  Total of 135 hours consisting of listening webinars etc. (approximately 40 hours), writing a learning diary/report (approximately 75 hours) and preparing/creating the summary presentation (approximately 20 hours).

  Enrollment

  01.08.2023 - 19.11.2023

  Groups

  • YTS23S1

  Alternative learning methods

  1. You report your main findings in a learning report (16-32 pages, approximately 5000 words). You can use any note taking app or tool, but Microsoft Word is preferred because Jamk offers a template for that.
  2. Summarize your findings in a 3-5 minute video presentation. For video recording, you can use e.g. Screencast-O-Matic or Zoom. For storing and sharing the video, you can use e.g. YouTube or Panopto.
  
  When you are ready, 1) return the document (learning report) and 2) link to the video presentation to the corresponding folder in our learning environment. After receiving feedback from the lecturer in charge, giving suggestions how to improve this course.

  Seats

  0 - 35

  Assessment methods

  We are using anti-plagiarism system, so remember to refer original sources according to recommendations and follow either our reporting instructions or the ones of your own university. In addition, the ethical principles must be followed.
  
  Open Studies: 150

  Degree Programme

  Master's Degree Programme in Information Technology, Full Stack Software Development

  Mode of delivery

  Online learning

  Share of R&D studies

  3 cr

  Share of virtual studies

  5 cr

  Credits

  • 5 cr

  Unit

  School of Technology
• Application Frameworks (YTSP0300-3004),
       08.01.2024 – 30.04.2024,  5 cr  (YTS23S1) — Online learning +-
  Learning outcomes of the course

  The student understands the purpose and benefits of application frameworks and is able to implement a functional front-end (web) application.

  Prerequisites and co-requisites

  Prior working knowledge of HTML, CSS and JavaScript.

  Course contents

  - Application frameworks
  - Software libraries and tools
  - Mobile applications frameworks
  - Testing tools

  Assessment criteria

  Assessment criteria - grade 1 and 2

  The assessment of the project work is based on both the process and the results. The assessment focuses on the following followed by the assessment criteria:
  - choice of the framework and libraries: only the core framework is used
  - knowledge base and the structure of the implementation: only basic knowledge base is presented
  - realisation of the project work: contains errors, omissions, and/or inconsistencies
  - results and their analysis are vague or missing
  - reporting and presentation: incomplete (no presentation)

  Assessment criteria - grade 3 and 4

  The assessment of the project work is based on both the process and the results. The assessment focuses on the following followed by the assessment criteria:
  - choice of the framework and libraries: more than one framework or software library is used
  - knowledge base and the structure of the implementation shows more than just a basic knowledge
  - realisation of the project work is nearly error-free
  - results are reported shortly and their analysis is missing or incomplete
  - reporting and presentation is done quickly

  Assessment criteria - grade 5

  The assessment of the project work is based on both the process and the results. The assessment focuses on the following:
  - well-argumented choice of the framework and libraries
  - knowledge base and the structure of the implementation is clear
  - realisation of the project work: complete, error-free, consistent
  - results and their analysis: in-depth, thorough
  - reporting and presentation is excellent

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  Language of instruction

  English

  Planned learning activities, teaching methods and guidance

  Online lectures (guidance), independent study, exercises and learning tasks. Can be studied virtually.

  Learning materials and recommended literature

  Course material in GitLab / LabraNet service

  Lecturer(s)

  Pasi Manninen

  Timing

  08.01.2024 - 30.04.2024

  Learning assignments and student workload

  Lectures 24 h, exercises and assignments 76 h, independent study 35 h

  Enrollment

  20.11.2023 - 04.01.2024

  Groups

  • YTS23S1

  Alternative learning methods

  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. If you already have the required skills, you can ask the teacher to participate a code review.

  Seats

  0 - 35

  Degree Programme

  Master's Degree Programme in Information Technology, Full Stack Software Development

  Mode of delivery

  Online learning

  Share of virtual studies

  5 cr

  Credits

  • 5 cr

  Unit

  School of Technology
• New and Emerging Technologies (YTFWV100-3007),
       08.01.2024 – 31.05.2024,  5 cr  (YTS23S1, ...) — Online learning +-
  Learning outcomes of the course

  The learning process should enable to learn at least one state-of-the-art technology and its applications in the chosen technology area. This includes the following learning outcomes:
  
  1.Investigations
  - ability to investigate the application of new and emerging technologies at the forefront of their specialisation
  - ability to identify, locate and obtain required data;
  - ability to conduct searches of literature, to consult and critically use databases and other sources of information, to carry out simulation in order to pursue detailed investigations and research of complex technical issues;
  
  2.Lifelong Learning
  - ability to engage in independent life-long learning;
  - ability to undertake further study autonomously.

  Prerequisites and co-requisites

  This course is for you if
  • you want to get familiar with a new technology and there is no dedicated course for that
  • you have a special interest towards new and emerging technologies a.k.a exponential technologies
  • you want to have proof of your special expertise in your portfolio

  Course contents

  We are living in a constantly changing world. New technologies emerge so rapidly that everybody has a challenge how to learn new things. The course contents is based on your own choice. You can pick any virtual lecture (webinar) or participate courses offered by your company or other organisations (e.g. through MOOCs such as Udemy or Coursera) as long they are dealing with new and emerging technologies.

  Assessment criteria

  Assessment criteria, passed/failed

  Grading Scale: Pass/fail.
  For passing you need to 1) deliver the learning report which contains at least 16 pages (max 32 pages, approximately 5000 words) of lessons learned and 2) a short (ca. 5 minutes) summarising video. The key concepts and main findings (e.g. how to apply the chosen technology) should be presented in a understandable way by following the reporting guidelines provided by the student's own institution (e.g. adding references to previous work).
  Fail (0): The student does now meet the minimum criteria set for the course. We are using an anti-plagiarism system (Turnitin). If text is copied from elsewhere there should be the corresponding references; the total amount of text found elsewhere must be less that 50 %.

  ---

  Language of instruction

  English

  Location and time

  This is a nonstop virtual course: you can start the course anytime you want (during the semester) and return your work (a learning report and a summarising video) any time you want (before the semester ends).

  Planned learning activities, teaching methods and guidance

  This is a fully virtual course. This course suits very well for students who are exploring potential (or current) topic for their thesis.

  Learning materials and recommended literature

  Some starting points (links) are provided through the learning environment. You need to listen presentations about state-of-the-art technology and its applications. You need to pick virtual lectures (webinars) or participate courses offered by your company or other organisations (e.g. through MOOCs such as Udemy or Coursera) so that the total amount of work (listening presentations) is approximately 32 hours.

  Lecturer(s)

  Jouni Huotari

  Timing

  08.01.2024 - 31.05.2024

  Learning assignments and student workload

  Total of 135 hours consisting of listening webinars etc. (approximately 32 hours), writing a learning diary/report (approximately 83 hours) and preparing/creating the summary presentation (approximately 20 hours).

  Enrollment

  20.11.2023 - 05.05.2024

  Groups

  • YTS23S1
  • YTI23S1

  Alternative learning methods

  1. You report your main findings in a learning report (16-32 pages, approximately 5000 words). You can use any note taking app or tool, but Microsoft Word is preferred because JAMK offers a template for that.
  2. Summarize your findings in a 3-5 minute video presentation. For video recording, you can use e.g. Screencast-O-Matic or Zoom. For storing and sharing the video, you can use e.g. YouTube or Panopto.
  
  When you are ready, 1) return the document (learning report) and 2) link to the video presentation to the corresponding folder in our learning environment. After receiving feedback from the lecturer in charge, giving suggestions how to improve this course.

  Seats

  0 - 35

  Assessment methods

  We are using anti-plagiarism system, so remember to refer original sources according to recommendations and follow either our reporting instructions or the ones of your own university. In addition, the ethical principles must be followed. If you’ve used ChatGPT or other AI tools in your research, describe how you used the tool in your Method section or in a comparable section of your learning report.
  
  Open Studies: 150

  Degree Programme

  Master's Degree Programme in Information Technology, Full Stack Software Development

  Mode of delivery

  Online learning

  Share of R&D studies

  4 cr

  Share of virtual studies

  5 cr

  Credits

  • 5 cr

  Unit

  School of Technology
• Research-based Development (YZWZ0110-3038),
       04.09.2023 – 20.12.2023,  5 cr  (YSD23S1, ...) — Face-to-face +-
  Learning outcomes of the course

  Purpose of the course
  The purpose of this course is to understand the meaning of research-based development and to get one's own toolkit for development activities
  
  Competences
  Ethical competence
  Learning and information management competence
  Entrepreneurship, innovation and working community competence
  
  Learning outcomes
  After completing this course, you will understand the difference between scientific research and research-based development. You understand the principles of research-based development,, its methodological starting points. You know the process of research-based development. You master and are able to apply some working life development methods in development activities at your filed of practice. You understand the importance of research ethics and good scientific practice in research-based development.

  Course contents

  The starting points and methodology of research-based development
  Research ethics and the responsible conduct of research
  Process and management of research-based development
  Research and development methods, data collection and data analysis
  Assessment as part of research-based development

  Assessment criteria

  Assessment criteria - grade 1 and 2

  Sufficient 1
  The student understands the differences and similarities between research-based development and academic research. The student is able to describe the different stages of the development process and choose methods suitable for their research/development topic. The student understands the significance of research ethics in research-based development.
  
  Satisfactory 2
  The student understands the differences and similarities between research-based development and academic research. The student describes the stages of the development process and chooses methods suitable for their development topic, and reflects on and assesses their suitability with the help of literature. The student understands the significance of research ethics in research-based development.

  Assessment criteria - grade 3 and 4

  Good 3
  The student is able to compare the differences and similarities between research-based development and academic research. The student is able to analyse development processes, methods suitable for their development topic, and reflects on and assesses their suitability with the help of literature. The student understands the significance of research ethics in research-based development.
  
  Very good 4
  The student compares the similarities and differences between research-based development and academic research in a diverse way. The student describes the stages of the development process with justifications, applies methods suitable for their development topic, and reflects on and assesses their suitability critically and with the help of literature.The student understands the significance of research ethics in research-based development.

  Assessment criteria - grade 5

  Excellent 5
  The student is able to critically assess research-based development. The student describes the stages of the development process with justifications, applies methods suitable for their development topic, and critically assesses their suitability for development work in the field. The student understands the significance of research ethics in research-based development.

  Further information

  The course can be studied by using studification combining study & work in accordance with Jamk Degree regulation 17 § the guidelines for identifying and recognizing competence and Jamk processes.

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  Language of instruction

  English

  Lecturer(s)

  Sanna Sihvonen

  Timing

  04.09.2023 - 20.12.2023

  Enrollment

  01.08.2023 - 06.09.2023

  Groups

  • YSD23S1
  • YSN23S1
  • ZJAYSD23S1

  Seats

  0 - 40

  Degree Programme

  Master's Degree Programme in Sport and Exercise Physiotherapy, Master's Degree Programme in Artificial Intelligence and Data Analytics, Master's Degree Programme in Information Technology, Full Stack Software Development, Master's Degree Programme in Advanced Practice Nursing, Master's Degree Programme in Professional Project Management, Master's Degree Programme in International Business Management, Master's Degree Programme in Information Technology, Cyber Security

  Mode of delivery

  Face-to-face

  Credits

  • 5 cr

  Unit

  School of Health and Social Studies
• Leadership Dynamics (YZWZ0220-3020),
       20.09.2023 – 31.12.2023,  5 cr  (YSN23S1) — Online learning +-
  Learning outcomes of the course

  You will understand different approaches to leadership by exploring theories and models, and you will be able to expand and apply them to practical work. You can learn key leadership practices and describe them from the perspective of your job role or interest of study. You understand the importance of an ethical attitude to leadership. You will identify and assess your leadership and emotional intelligence and interaction skills and benefits, and identify your key areas for development. You will experience & test practical communications skills through interaction and discussions.

  Prerequisites and co-requisites

  - (not translated)

  Course contents

  Leadership theories & styles
  Current phenomena of leadership
  Ethical attitude to leadership
  Emotional intelligence and emotions
  Communication and interaction tools & skills

  Assessment criteria

  Assessment criteria - grade 1 and 2

  Adequate 1
  The theory of the subject matter as summarised by the student is appropriate for the subject matter or work role, but it does not form an overall view. The student describes and distinguishes essential concepts. The student outlines a development project. The student finds a partial solution to the problem but is unable to illustrate the results. Matters are discussed in a list-like and summarising manner. Independent thinking is lacking. The reporting follows JAMK’s reporting instructions partially.
  
  Satisfactory 2
  The student applies theory within the subject matter, limited from the perspective of the subject matter or work role. The student has selected and defined the essential concepts. The student designs a development project. The student finds a partial solution to the problem. They illustrate the results. The examples demonstrate understanding and independent thinking, but the connections between theoretical knowledge and the examples are insufficient. The report mostly follows JAMK’s reporting instructions.

  Assessment criteria - grade 3 and 4

  Good 3
  You present theory that is relevant and delineated. You are able to follow and analyse the development and/or research in your field of expertise. You are able to analyse and structure theoretical information and concepts. You lead or plan a research, development or innovation initiative, applying new methods. You develop the operations of the organisation by finding alternative solutions to a problem. Theory and practice are combined through your thinking. The report is illustrative and includes analysis. The report follows JAMK’s reporting instructions (may contain occasional errors).
  
  Very good 4
  You produce an overall view from the essential theories in the subject matter, which you reflect on in a critical manner. You are able to follow and analyse the development and international research in your field of expertise. You are able to consider the essential concepts in relation to each other. You lead or plan a research, development or innovation initiative that produces a solution for a practical problem. You demonstrate and justify the usability of your results. The report is written in a consistent, justified and illustrative manner. It contains reflection and criticism. The report follows JAMK’s reporting instructions. There may be minor deficiencies with some details.

  Assessment criteria - grade 5

  Excellent 5
  You are able to create new information. You are able to follow and analyse the development and international research in the fields of expertise. You reflect on the matter at a social level. You are able to define the essential concepts related to the special competence of the field in relation to each other. You lead or plan a research, development or innovation initiative that produces and analyses new information and reforms the practices in complex and unpredictable operating environments. You utilise methods from research and development operations, and display creative thinking. The report has created new perspectives or overall views by combining things in a new way. The text displays the ability for critical thinking and the skill of communicating the results. The report follows JAMK’s reporting instructions.

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  Language of instruction

  English

  Location and time

  Webinars (with Zoom):
  
  September 27. 2023 from 9 am to 12 pm Finnish time
  November 28. 2023 from 9 am to 15 pm Finnish time
  November 29. 2023 from 15.30 pm to 17.30 pm Finnish time

  Planned learning activities, teaching methods and guidance

  E-learning.
  Online teaching, assignments, small group work, independent work and literature.

  Lecturer(s)

  Salla Grommi

  Learning materials and recommended literature

  - Daft, R. 2015-2018. The Leadership Experience, 6h or 7th Edition – CENGAGE Learning 2015-2018
  - Northouse, P. 2016. Leadership: Theory and Practice. Sage
  
  Suitable article from e.g. The Leadership Quarterly, Journal of Change Management, Journal of Organizational Change Management

  Lecturer(s)

  Salla Grommi

  Working life cooperation

  No exam

  Exam dates and re-exam possibilities

  -

  Timing

  20.09.2023 - 31.12.2023

  Learning assignments and student workload

  Online meetings
  Independent work and group work
  Total 135 h

  Enrollment

  01.08.2023 - 24.08.2023

  Content scheduling

  The first webinar instructs and stages the progress of the course.
  The central learning task of the course is a work-based development task performed by the student in his / her own (or imagined) work organization during the course. The student can choose a topical development topic related to the themes of the course from his / her own organization. The aim is to apply theoretical knowledge to solve a practical problem and to write a project plan-type reflective essay or project report on it.

  Groups

  • YSN23S1

  Seats

  20 - 30

  Assessment methods

  The assessment of the course is based on the assessment criteria derived from the learning objectives.
  
  Tasks are assessed as accepted / rejected, except for the work-based development task (see above), which is assessed with grades 0-5.
  The evaluation of the entire course (0-5) thus consists in practice of the grade of the development task.

  Degree Programme

  Master's Degree Programme in Artificial Intelligence and Data Analytics, Master's Degree Programme in Information Technology, Full Stack Software Development, Diploma in International Business Management, Master's Degree Programme in Advanced Practice Nursing, Master's Degree Programme in Professional Project Management, Master's Degree Programme in International Business Management, Master's Degree Programme in Information Technology, Cyber Security

  Mode of delivery

  Online learning

  Share of virtual studies

  5 cr

  Credits

  • 5 cr

  Unit

  School of Health and Social Studies

Academic year 2024 - 2025

There is no implementations attached to this degree programme.