1. ELEC-E3151 Mathematical Computing
Data import and analysis
Jorma Selin (M.Sc.)

2. Data import and analysis
Lecture 1:
Interactive importing, plotting, and modelling of data
Programmatic importing of data
Lecture 2:
Linear regression and non-linear fitting of data
Lecture 3:
Analysis of variance (ANOVA)
Lecture 4:
Preprocessing and signals analysis
Separate sets of homework exercises for each lecture
4 sets x 10 points/set = 40 points

3. Lecture 1 Interactive data analysis and programmatic data import
ELEC-E3151 Mathematical Computing - Data import and analysis
26th of September 2017

4. Modelling solar radiation
For solar energy applications, it is important to be able to determine the total annual amount of solar energy irradiated by the Sun at any given area.
In some developing countries, direct measurement of solar irradiation might not be possible.
Let’s use this as an excuse to make an overly simplified model.
Solar ratio ( 𝑹 𝒔 ) = Global solar radiation Extraterrestial solar radiation
𝑹 𝒔 =𝒂 𝟏+𝒃𝑯 𝟏− 𝒆 −𝒄𝚫 𝐓 𝒏 ,
where 𝑯 is the relative humidity, 𝚫𝐓 is the daily temperature variation, and 𝒂,𝒃,𝒄, and 𝒏 are model parameters.
ELEC-E3151 Mathematical Computing - Data import and analysis
26th of September 2017

5. What will we be doing? Demo with MATLAB:
Importing columns from an Excel file into MATLAB as vectors
Interactive plotting
Playing around with datetime-data
Interactive plot configuring
Introducing the table data type
Logical indexing
Creating a predictive model
Testing our model
ELEC-E3151 Mathematical Computing - Data import and analysis
26th of September 2017

6. If you cannot make it to class…
Today’s lecture is based on this video tutorial:
ELEC-E3151 Mathematical Computing - Data import and analysis
26th of September 2017