Process mining, RPA and AILaajuus (5 op)
Tunnus: AL00CJ23
Laajuus
5 op
Opetuskieli
- englanti
Osaamistavoitteet
The student is able to
- understand RPA and AI concepts, and its value proposition
- is able to identify potential automation examples and draw up a plan for an implementation
- use RPA and AI tools
Ilmoittautumisaika
20.11.2024 - 30.10.2025
Ajoitus
08.01.2025 - 31.12.2025
Opintopistemäärä
5 op
Virtuaaliosuus
5 op
Toteutustapa
Etäopetus
Yksikkö
Liiketoiminta (LAB)
Toimipiste
Verkkokampus
Opetuskielet
- Englanti
Paikat
0 - 200
Koulutus
- Complementary competence, Bachelor's
Opettaja
- Marianne Viinikainen
- Liisa Uosukainen
Opetusryhmät
- Avoimen ammattikorkeakoulun kiintiö (Koko: 40. Avoin AMK: 40.)
Ryhmät
-
LLPREX25KIBSaapuvat vaihto-opiskelijat 25K, pitkät vaihdot, liiketalous, Lappeenranta
-
LLTIEX25K2Saapuvat vaihto-opiskelijat 25K, pitkät vaihdot, tietojenkäsittely, Lahti
-
LLTIEX25K3Saapuvat vaihto-opiskelijat 25K, pitkät vaihdot, matkailu, Lahti
-
LLPREX25KHSaapuvat vaihto-opiskelijat 25K, pitkät vaihdot, hotelli- ja ravintola-ala, Lappeenranta
-
LLABTOITTäydentävä osaaminen (AMK), Liiketoimintayksikkö, Tietojenkäsittely
-
LLTIEX25K1Saapuvat vaihto-opiskelijat 25K, pitkät vaihdot, liiketalous, Lahti
-
LLABTO24-25EComplementary competence (Bachelor's) 2024-2025, Faculty of Business and Hospitality Management
Pienryhmät
- Avoimen ammattikorkeakoulun kiintiö
Osaamistavoitteet
The student is able to
- understand RPA and AI concepts, and its value proposition
- is able to identify potential automation examples and draw up a plan for an implementation
- use RPA and AI tools
Toteutustapa ja opetusmenetelmät
The AIna robot acts as your guide and introduces you to the different areas of front and back office process development.
The aim of the course is to increase digital competence, especially from the point of view of process efficiency. You will find answers e.g. to the following questions: What is process-oriented thinking? What is digital data? What is process mining used for? What are the different forms of artificial intelligence? How to automate repetitive tasks on a computer? After completing the course, you will be able to recognize the possibilities of office automation in your own operations and you will find areas of development where automation can achieve the best benefit.
About the course in brief:
- Scope 5 credits
- Learning takes place in small parts (micro learning)
- You can study flexibly regardless of time and place
- You can learn basic information on mobile, for practical exercises you need a computer
- You will receive a diploma and a badge for completing the course
Ajoitus ja läsnäolo
The course is 100% online. The course is a HopOn course. The course is open from 8 January 2025 to 31 December 2025.
Oppimateriaali ja suositeltava kirjallisuus
All course learning material is available in the course's MOOC learning environment.
Toteutuksen valinnaiset suoritustavat
The course can only be completed as described.
Työelämäyhteistyö
The course has been developed together with working life. In the course, you will learn modern methods and use the latest tools of working life.
Tools and systems used in the course: Microsoft PowerPoint, Excel and Notepad, ARIS Process Mining, UiPath Studio, Task Capture and Task Mining, ChatGPT, DALL-E-2, Microsoft Power Platform: Power Automate, Task Mining, Process Mining, AI Builder, Power BI.
Oppimisympäristö
Note! UiPath Studio, UiPath Task Capture, UiPath Task Mining Recorder, Microsoft Power BI desktop and Microsoft Process Mining desktop app can be installed only on Windows environment. You must therefore have a Windows machine to complete the course. If you are a LAB student and have a Mac computer, you can use the UiPath programs on a LAB Win10 2D virtual workstation (LAB account required). Please take this into account before starting the course.
Opiskelijan ajankäyttö ja kuormitus
The scope of the course is 5 ECTS credits. In terms of workload, the course corresponds to 135 hours, or about 3.5 weeks of full-time work.
Sisältö
In this practical 'hands-on' course, you will learn to model and develop office and information work processes. In the course, basic information is learned using micro-learning methods (also possible on mobile), for practical exercises you need a computer.
Learning is divided into five sections, which are displayed on their own tabs:
1. Process development: You will learn to model, analyze and optimize the work phases of information work.
2. Data and process mining: You will learn the basics of digital data and the data economy. In addition, you will learn how to measure and analyze log data using process mining methods.
3. Artificial intelligence (AI): You will learn what artificial intelligence means and what it can be used for. You will learn to make your own artificial intelligence applications.
4. Robotic process automation (RPA): You will learn how to automate the repetitive tasks of office work.
5. Hyperautomation: You will learn how RPA and AI can be combined.
Lisätietoja opiskelijalle: mm. edeltävä osaaminen
No previous studies are required.
Arviointimenetelmät
The course will be graded as failed or approved.
Arviointiasteikko
Hyväksytty/Hylätty
Arviointikriteerit: arviointiasteikko hyväksytty/hylätty
In order to get a passing grade, you must:
- Complete all the course tasks with an approved grade. The pass threshold for assessed assignments is 50 %.
- Complete the section exams with a pass grade.
Ilmoittautumisaika
20.11.2023 - 30.10.2024
Ajoitus
08.01.2024 - 31.12.2024
Opintopistemäärä
5 op
Virtuaaliosuus
5 op
Toteutustapa
Etäopetus
Yksikkö
Liiketoiminta (LAB)
Toimipiste
Verkkokampus
Opetuskielet
- Englanti
Paikat
0 - 200
Koulutus
- Complementary competence, Bachelor's
Opettaja
- Marianne Viinikainen
- Liisa Uosukainen
Ryhmät
-
LLABTO23-24EComplementary competence (Bachelor's) 2023-2024, Faculty of Business and Hospitality Management
-
TLTIEX24K1Saapuvat vaihto-opiskelijat 24K, pitkät vaihdot, tekniikka, Lahti
-
LLTIEX24K3Saapuvat vaihto-opiskelijat 24K, pitkät vaihdot, matkailu, Lahti
-
TLPREX24KISaapuvat vaihto-opiskelijat 24K, pitkät vaihdot, tietotekniikka, Lappeenranta
-
LLABTOITTäydentävä osaaminen (AMK), Liiketoimintayksikkö, Tietojenkäsittely
-
LLABTO24-25EComplementary competence (Bachelor's) 2024-2025, Faculty of Business and Hospitality Management
-
TLTIEX24K2Saapuvat vaihto-opiskelijat 24K, pitkät vaihdot, tietotekniikka, Lahti
-
LLTIEX24S1Saapuvat vaihto-opiskelijat 24S, pitkät vaihdot, liiketalous, Lahti
-
LLTIEX24S2Saapuvat vaihto-opiskelijat 24S, pitkät vaihdot, tietojenkäsittely, Lahti
-
LLTIEX24K2Saapuvat vaihto-opiskelijat 24K, pitkät vaihdot, tietojenkäsittely, Lahti
-
LLTIEX24K1Saapuvat vaihto-opiskelijat 24K, pitkät vaihdot, liiketalous, Lahti
-
TLABTO23HTäydentävä osaaminen (AMK) 2023-2024, Teknologiayksikkö
-
TLPREX24KMSaapuvat vaihto-opiskelijat 24K, pitkät vaihdot, konetekniikka, Lappeenranta
-
LLPREX24KHSaapuvat vaihto-opiskelijat 24K, pitkät vaihdot, hotelli- ja ravintola-ala, Lappeenranta
-
LLPREX24KIBSaapuvat vaihto-opiskelijat 24K, pitkät vaihdot, liiketalous, Lappeenranta
-
LLPREX24SIBSaapuvat vaihto-opiskelijat 24S, pitkät vaihdot, liiketalous, Lappeenranta
-
LLPREX24SHSaapuvat vaihto-opiskelijat 24S, pitkät vaihdot, hotelli- ja ravintola-ala, Lappeenranta
Osaamistavoitteet
The student is able to
- understand RPA and AI concepts, and its value proposition
- is able to identify potential automation examples and draw up a plan for an implementation
- use RPA and AI tools
Toteutustapa ja opetusmenetelmät
The AIna robot acts as your guide and introduces you to the different areas of front and back office process development.
The aim of the course is to increase digital competence, especially from the point of view of process efficiency. You will find answers e.g. to the following questions: What is process-oriented thinking? What is digital data? What is process mining used for? What are the different forms of artificial intelligence? How to automate repetitive tasks on a computer? After completing the course, you will be able to recognize the possibilities of office automation in your own operations and you will find areas of development where automation can achieve the best benefit.
About the course in brief:
- Scope 5 credits
- Learning takes place in small parts (micro learning)
- You can study flexibly regardless of time and place
- You can learn basic information on mobile, for practical exercises you need a computer
- You will receive a diploma and a badge for completing the course
Ajoitus ja läsnäolo
The course is 100% online. The course is a HopOn course. The course is open from 8 January 2024 to 31 December 2024.
Oppimateriaali ja suositeltava kirjallisuus
All course learning material is available in the course's MOOC learning environment.
Toteutuksen valinnaiset suoritustavat
The course can only be completed as described.
Työelämäyhteistyö
The course has been developed together with working life. In the course, you will learn modern methods and use the latest tools of working life.
Tools and systems used in the course: Microsoft PowerPoint, Excel and Notepad, ARIS Process Mining, UiPath Studio, Task Capture and Task Mining, ChatGPT, DALL-E-2, Microsoft Power Platform: Power Automate, Task Mining, Process Mining, AI Builder, Power BI.
Oppimisympäristö
Note! UiPath Studio, UiPath Task Capture, UiPath Task Mining Recorder, Microsoft Power BI desktop and Microsoft Process Mining desktop app can be installed only on Windows environment. You must therefore have a Windows machine to complete the course. If you are a LAB student and have a Mac computer, you can use the UiPath programs on a LAB Win10 2D virtual workstation (LAB account required). Please take this into account before starting the course.
Opiskelijan ajankäyttö ja kuormitus
The scope of the course is 5 ECTS credits. In terms of workload, the course corresponds to 135 hours, or about 3.5 weeks of full-time work.
Sisältö
In this practical 'hands-on' course, you will learn to model and develop office and information work processes. In the course, basic information is learned using micro-learning methods (also possible on mobile), for practical exercises you need a computer.
Learning is divided into five sections, which are displayed on their own tabs:
1. Process development: You will learn to model, analyze and optimize the work phases of information work.
2. Data and process mining: You will learn the basics of digital data and the data economy. In addition, you will learn how to measure and analyze log data using process mining methods.
3. Artificial intelligence (AI): You will learn what artificial intelligence means and what it can be used for. You will learn to make your own artificial intelligence applications.
4. Robotic process automation (RPA): You will learn how to automate the repetitive tasks of office work.
5. Hyperautomation: You will learn how RPA and AI can be combined.
Lisätietoja opiskelijalle: mm. edeltävä osaaminen
No previous studies are required.
Arviointimenetelmät
The course will be graded as failed or approved.
Arviointiasteikko
Hyväksytty/Hylätty
Arviointikriteerit: arviointiasteikko hyväksytty/hylätty
The course completion is approved when you have
- completed all tasks and exercises with approval. The pass threshold for assessed assignments is 50%.
- completed the section exams passably. The passing threshold for exams is 50%.
Ilmoittautumisaika
15.05.2023 - 30.11.2023
Ajoitus
01.10.2023 - 31.12.2023
Opintopistemäärä
5 op
Virtuaaliosuus
5 op
Toteutustapa
Etäopetus
Yksikkö
Liiketoiminta (LAB)
Toimipiste
Verkkokampus, Lappeenranta
Opetuskielet
- Englanti
Paikat
0 - 200
Koulutus
- Täydentävä osaaminen, AMK
Opettaja
- Marianne Viinikainen
- Liisa Uosukainen
Ryhmät
-
LLABTO23-24EComplementary competence (Bachelor's) 2023-2024, Faculty of Business and Hospitality Management
-
LLTIEX23K1Saapuvat vaihto-opiskelijat 23K, pitkät vaihdot, liiketalous, Lahti
-
LLTIEX23K2Saapuvat vaihto-opiskelijat 23K, pitkät vaihdot, tietojenkäsittely, Lahti
-
LLPREX23KIBSaapuvat vaihto-opiskelijat 23K, pitkät vaihdot, liiketalous, Lappeenranta
Osaamistavoitteet
The student is able to
- understand RPA and AI concepts, and its value proposition
- is able to identify potential automation examples and draw up a plan for an implementation
- use RPA and AI tools
Toteutustapa ja opetusmenetelmät
The AIna robot acts as your guide and introduces you to the different areas of front and back office process development.
The aim of the course is to increase digital competence, especially from the point of view of process efficiency. You will find answers e.g. to the following questions: What is process-oriented thinking? What is digital data? What is process mining used for? What are the different forms of artificial intelligence? How to automate repetitive tasks on a computer? After completing the course, you will be able to recognize the possibilities of office automation in your own operations and you will find areas of development where automation can achieve the best benefit.
About the course in brief:
- Scope 5 credits
- Learning takes place in small parts (micro learning)
- You can study flexibly regardless of time and place
- You can learn basic information on mobile, for practical exercises you need a computer
- You will receive a diploma and a badge for completing the course
Ajoitus ja läsnäolo
The course is 100% online. The course is a HopOn course. The course is open from 1 October 2023 to 31 December 2023.
Oppimateriaali ja suositeltava kirjallisuus
All course learning material is available in the course's learning environment.
Toteutuksen valinnaiset suoritustavat
The course can only be completed as described.
Työelämäyhteistyö
The course has been developed together with working life. In the course, you will learn modern methods and use the latest tools of working life.
Tools and systems used in the course: Microsoft PowerPoint, Excel and Notepad, ARIS Process Mining, UiPath Studio, Task Capture and Task Mining, ChatGPT, DALL-E-2, Microsoft Power Platform: Power Automate, Task Mining, Process Mining, AI Builder, Power BI.
Oppimisympäristö
Note! UiPath Studio, UiPath Task Capture, UiPath Task Mining Recorder, Microsoft Power BI desktop and Microsoft Process Mining desktop app can be installed only on Windows environment. You must therefore have a Windows machine to complete the course. If you are a LAB student and have a Mac computer, you can use the UiPath programs on a LAB Win10 2D virtual workstation (LAB account required). Please take this into account before starting the course.
Opiskelijan ajankäyttö ja kuormitus
The scope of the course is 5 ECTS credits. In terms of workload, the course corresponds to 135 hours, or about 3.5 weeks of full-time work.
Sisältö
In this practical 'hands-on' course, you will learn to model and develop office and information work processes. In the course, basic information is learned using micro-learning methods (also possible on mobile), for practical exercises you need a computer.
Learning is divided into five sections, which are displayed on their own tabs:
1. Process development: You will learn to model, analyze and optimize the work phases of information work.
2. Data and process mining: You will learn the basics of digital data and the data economy. In addition, you will learn how to measure and analyze log data using process mining methods.
3. Artificial intelligence (AI): You will learn what artificial intelligence means and what it can be used for. You will learn to make your own artificial intelligence applications.
4. Robotic process automation (RPA): You will learn how to automate the repetitive tasks of office work.
5. Hyperautomation: You will learn how RPA and AI can be combined.
Lisätietoja opiskelijalle: mm. edeltävä osaaminen
No previous studies are required.
Arviointimenetelmät
The course will be graded as failed or approved.
Arviointiasteikko
Hyväksytty/Hylätty
Arviointikriteerit: arviointiasteikko hyväksytty/hylätty
The course completion is approved when you are
- completed all tasks and exercises with approval. The pass threshold for assessed assignments is 50%.
- completed the section exams passably. The passing threshold for exams is 50%.