Introduction to DataMLTopUP Programme (1 cr)
Code: TX00GB37-3001
General information
- Timing
-
12.02.2025 - 28.02.2025
Implementation has ended.
- Number of ECTS credits allocated
- 1 cr
- Mode of delivery
- On-campus
- Unit
- (2019-2024) School of ICT
- Campus
- Karaportti 2
- Teaching languages
- English
- Degree programmes
- Information and Communication Technology
- Teachers
- Tino Kankkunen
- Minna Kivihalme
- Teacher in charge
- Pekko Lindblom
- Groups
-
DATAINTEL_JOTPAData Intelligence Launchpad - Jotpa hankinta
- Course
- TX00GB37
Objective
This course serves as an introduction to the program and does not require prior knowledge of data analytics, machine learning, or artificial intelligence. Basic programming skills and familiarity with SQL are not mandatory for completing this course. However, these skills are recommended for the overall program. The content of this course is designed for software developers or professionals in similar advanced ICT roles, as well as recent graduates with a bachelor-level degree in the field.
Knowledge:
• Understand the role of data storage, data analytics, and machine learning in modern software development tasks.
• Recognize the importance of data privacy and security in building AI solutions.
• Comprehend the national and international role of organizational IT governance and its significance in software development.
Responsibility and Independence:
• Understand the ethical and societal impacts of data analytics and artificial intelligence.
Content
• Today’s demand for data expertise
• The structure of the program
• Basic terminology and concepts
• Introduction to data privacy when creating AI solutions
• Introduction to data security when creating AI solutions
• Data governance and AI – different viewpoints: international, national, company
• Building ethical AI solutions: idea, design, implementation, operations
• Case Company Example
Evaluation scale
Hyväksytty/Hylätty
Objective
This course serves as an introduction to the program and does not require prior knowledge of data analytics, machine learning, or artificial intelligence. Basic programming skills and familiarity with SQL are not mandatory for completing this course. However, these skills are recommended for the overall program. The content of this course is designed for software developers or professionals in similar advanced ICT roles, as well as recent graduates with a bachelor-level degree in the field.
Knowledge:
• Understand the role of data storage, data analytics, and machine learning in modern software development tasks.
• Recognize the importance of data privacy and security in building AI solutions.
• Comprehend the national and international role of organizational IT governance and its significance in software development.
Responsibility and Independence:
• Understand the ethical and societal impacts of data analytics and artificial intelligence.
Content
• Today’s demand for data expertise
• The structure of the program
• Basic terminology and concepts
• Introduction to data privacy when creating AI solutions
• Introduction to data security when creating AI solutions
• Data governance and AI – different viewpoints: international, national, company
• Building ethical AI solutions: idea, design, implementation, operations
• Case Company Example