IoT Big Data and Analytics (5 cr)
Code: 5000BL72-3007
General information
- Enrollment
-
09.12.2024 - 12.01.2025
Registration for the implementation has ended.
- Timing
-
13.01.2025 - 30.04.2025
Implementation is running.
- Number of ECTS credits allocated
- 5 cr
- Local portion
- 5 cr
- Mode of delivery
- Contact learning
- Unit
- Engineering and Business
- Campus
- Kupittaa Campus
- Teaching languages
- English
- Seats
- 10 - 40
- Degree programmes
- Degree Programme in Information and Communications Technology
- Degree Programme in Information and Communication Technology
- Teachers
- Juha Saarinen
- Teacher in charge
- Juha Saarinen
- Groups
-
PTIVIS23SEmbedded Software and IoT
- Course
- 5000BL72
Realization has 16 reservations. Total duration of reservations is 39 h 0 min.
| Time | Topic | Location |
|---|---|---|
|
Fri 17.01.2025 time 08:00 - 10:00 (2 h 0 min) |
Lecture, IoT Big Data and Analytics 5000BL72-3007 |
ICT_B1026_Gamma
GAMMA
|
|
Fri 17.01.2025 time 13:00 - 16:00 (3 h 0 min) |
Labwork, IoT Big Data and Analytics 5000BL72-3007 |
ICT_C3027
Sulautettujen ohjelmistojen laboratorio/IT
|
|
Tue 21.01.2025 time 14:00 - 16:00 (2 h 0 min) |
Luento, IoT Big Data and Analytics 5000BL72-3007 |
EDU_1002
Moriaberg Esitystila byod
|
|
Fri 24.01.2025 time 08:00 - 11:00 (3 h 0 min) |
Labwork, IoT Big Data and Analytics 5000BL72-3007 |
ICT_C3027
Sulautettujen ohjelmistojen laboratorio/IT
|
|
Tue 28.01.2025 time 14:00 - 16:00 (2 h 0 min) |
Lecture, IoT Big Data and Analytics 5000BL72-3007 |
ICT_C1042_Myy
MYY
|
|
Fri 31.01.2025 time 08:00 - 11:00 (3 h 0 min) |
Labwork, IoT Big Data and Analytics 5000BL72-3007 |
ICT_C3027
Sulautettujen ohjelmistojen laboratorio/IT
|
|
Tue 04.02.2025 time 14:00 - 16:00 (2 h 0 min) |
Lecture, IoT Big Data and Analytics 5000BL72-3007 |
ICT_B1041_Omega
OMEGA
|
|
Fri 07.02.2025 time 08:00 - 11:00 (3 h 0 min) |
Labwork, IoT Big Data and Analytics 5000BL72-3007 |
ICT_C3027
Sulautettujen ohjelmistojen laboratorio/IT
|
|
Tue 11.02.2025 time 14:00 - 16:00 (2 h 0 min) |
Lecture, IoT Big Data and Analytics 5000BL72-3007 |
ICT_B1041_Omega
OMEGA
|
|
Fri 14.02.2025 time 08:00 - 11:00 (3 h 0 min) |
Labwork, IoT Big Data and Analytics 5000BL72-3007 |
ICT_C3027
Sulautettujen ohjelmistojen laboratorio/IT
|
|
Tue 25.02.2025 time 14:00 - 16:00 (2 h 0 min) |
Lecture, IoT Big Data and Analytics 5000BL72-3007 |
ICT_C1042_Myy
MYY
|
|
Fri 28.02.2025 time 08:00 - 11:00 (3 h 0 min) |
Labwork, IoT Big Data and Analytics 5000BL72-3007 |
ICT_C3027
Sulautettujen ohjelmistojen laboratorio/IT
|
|
Tue 04.03.2025 time 14:00 - 16:00 (2 h 0 min) |
Luento, IoT Big Data and Analytics 5000BL72-3007 |
EDU_1002
Moriaberg Esitystila byod
|
|
Fri 07.03.2025 time 08:00 - 11:00 (3 h 0 min) |
Labwork, IoT Big Data and Analytics 5000BL72-3007 |
ICT_C3027
Sulautettujen ohjelmistojen laboratorio/IT
|
|
Tue 11.03.2025 time 14:00 - 16:00 (2 h 0 min) |
Exam, IoT Big Data and Analytics 5000BL72-3007 |
ICT_B1026_Gamma
GAMMA
|
|
Thu 03.04.2025 time 14:00 - 16:00 (2 h 0 min) |
Exam Retake, IoT Big Data and Analytics 5000BL72-3007 |
ICT_C3043
Teoriatila muunto
|
Evaluation scale
H-5
Content scheduling
1 Data at rest data in motion
2 Process of data analysis
3 Data preparation
4 Basics of descriptive statistics
5 Data visualization
6 Machine learning basics
7 Big data architectures
Objective
Student knows Basic tools for data analysis
Student can implement data analytics in edge computing
Student knows Basic solutions for big data analysis in cloud
Content
Data at rest and data in motion
Process for data analysis
Data preparation
Basics of descriptive statistics
Data visualization
Machine learning basics
Big data architectures
Materials
Lecture material
Labwork exercises
Teaching methods
Lab works 7 x 3h, mandatory
Lectures 7 x 2h, mandatory
Self study
Exam schedules
One exam at the end of the course (late March).
Completion alternatives
-
Student workload
lab works 7x3h = 21h
lectures 7x2h = 14h
exam = 2h
self study = 73h
exam preparation 25h
TOTAL 135h
Qualifications
Basic skills in using both Windows and Linux systems
Basic networking skills (Cisco CCNA1 or similar)
Basic programming skills with some high level programming language (for example Python, Java, C# or similar)
Basic programming skills include (but are not limited to): output formatting, conditional execution, loops, functions/procedures, function parameters and return values, arrays, error handling, testing and good programming policies
Sufficient logical-mathematical thinking skills
Sufficient skills in English language (lectures and all materials are in English)
Further information
Course Itslearningn pages.