Analytics for Industrial Internet

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Analytics for Industrial Internet

Course exam:
Friday 9.11 12.30-16.30, Room 115A
Exam will be done using own (laptop) computer, MATLAB installed.

Exam_20181109.pdf

Course code: DT00BQ86

Course contents:
- Basic signal processing algorithms (Filtering, FFT, adaptive filters, signal averaging)
- DSP programming using DSP6700DSK6613
- Analytics methodologies ( PCA, ICA, Bayesian analysis, Profiling, Profile identification, trend estimation,)

Course format
- Lectures (Mon 15-17, Thu 10-12, Agora 115A)
- Exercises (own work, introduction during lecture hours)
- ~~DSP programming (on TI DSP card)~~
- Visit to Koneteknologiakeskus
- Own small project done in from data from Koneteknologiakeskus

Examination
- Exam (GRADED)
- Exercises (PASSED required)
- Own project (PASSED required)

Material:
Course slides: http://www.users.abo.fi/htoivone/sbappl.html
Digital signal processing book: http://dspguide.com/
Extra material will be produced

Course schedule (will be continously updated)

Mon 3.9 15-17	Introduction, sampling, filtering basics
Thu 6.9 10-12	Exercise 1: Digital filtering	AII_exercise_1.pdf
Mon 10.9 15-17	Digital filter continues Signal averaging Upsampling / downsampling	http://users.abo.fi/htoivone/courses/sbappl/ASPSignalAveraging.pdf
Thu 13.9 10-12	Exercise: Signal averaging Exercise: Upsamplign downsampling	AII_exercise_1b.pdf
Mon 17.9 15-17	CANCELLED
Thu 20.9 10-12	Kahlman filter Exercise on Kahlman	Material from mathworks.
Mon 24.9 15-17	Kahlman filter exercise	AII_exercise_2.pdf Vehicle.mat
Thu 27.9 10-12	Trend analysis by Mikael Manngård	Sparse optimization with applications.pptx material_sparse_opt.zip NOTE Exercise 3 inside the slide set!!
Mon 1.10 15-17	Independent component analysis / Principal component analysis	Slideset above (Hannus slides)
Thu 4.10 10-12	Visit to Koneteknologiakeskus https://goo.gl/maps/T8ZDvxx2pBC2 Latest 10.15
Mon 8.10 15-17	Exercise - Independent component analysis	AII_exercise_4.pdf soundmix.mat Position.mat w1.dat w2.dat sound50000to50100.dat
Thu 11.10 10-12	Probability density functions and clustering	PDF_clustering.pdf
Mon 15.10 15-17	Dynamic Time Warping and Sax	http://www.cs.ucr.edu/~eamonn/DTW_myths.ppt http://www.cs.ucr.edu/~eamonn/teaching/cs235/sax.ppt
Thu 18.10 10-12	Exercise on event detection from raw data John-Eric Saxen	Exercise 5: Event detection.pptx Matlab code.zip

Thu 25.10	Presentation of project ~~Koneteknologiakeskus~~ MOVED BACK TO AGORA / 115A

Course exam:
Friday 9.11 12.30-16.30, Room 115A
Exam will be using computer.

EXAM 9.11.2018 RESULTS

Student number	Task1	Task2	Task3	Task4	Total points	Grade	Exercises
35973	3		4	6	13	3	OK	2.1.2019
36073	5		2		7	1
37719		6	4	6	16	5
37651	3	5	4		12	3	OK	2.1.2019
37782	6	4	4		14	4
39098	6	5	2		13	3
40159	3		5	2	10	2
74764	4	6	5		15	4
520267	6	6	6		18	5	OK	2.1.2019
1800220	3	1	3		7	1	OK	2.1.2019
38655		4	4	6	14	4	OK	2.1.2019
1800293	2	2	4		8	1	OK	2.1.2019