Ricardo Rodríguez Jorge, PhD
Research Scientist
Department of TICS
Technological Centre Ceit/“Researching Today, Creating the Future”
Donosti, Spain


Reseach group: Data Analysis and Information Management Group

Research visit. Institution: National Technologic of Mexico / Technological Institute of Ciudad Victoria.
(July 1st – July 31th 2022)

Visiting Professor
Czech Technical University in Prague, Czech Republic
(Dec 2016 -January 2017)

Research visit
Tohoku University, Japan (May- Jul 2011)

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I welcome my colleagues and fellow academics to this web site. If you would like to discuss any of my published work, please feel free to contact me. My professional interests are mainly in Engineering and my work today has been focused on signal processing and machine learning to bridge innovative ways in these areas.
 
I am always looking for industrial and academic collaboration, please do not hesitate to contact me for project collaborations. For more information about my current running projects please visit Research projects.
 
Institute web page:  Data Analysis and Information Management Group
Call for papers: https://www.rodriguezricardo.net/rodriguezjorgericardo/
Courses: https://www.rodriguezricardo.net/rodriguezjorgericardo/
Research Interest Group: Mechatronics,  Signal Processing, Control and Artificial Neural Networks
Contact Information: E-mail: rrodriguezj@ceit.es, Telephone:943 212 800 / Ext. 2940, Office: 011, Skype: rodriguezri,  Mobile phone:
 

Data Mining Techniques based on R Software
<< TO BE UPDATED, PLEASE VISIT AGAIN >>
Course Information:
Lecturer                 : Dr. Ricardo Rodriguez Jorge
Course Coordinator :
Level                      : Bachelor course
Time                      : Friday, Saturday
Location                 : CPTO Building, 7.06 classroom
 
Announcement:
(All obligations for a successful assessment have to be fulfilled until the end of the winter semester, 2023)
Sylabus:
This e-learning course is focused to students who are planning to work as IT specialists in the fields related to analytics, data mining solutions, marketing etc., who want to learn about both the practical application and implementation of data mining methods based on one of the modern programming languages R.  The aim of the course is to acquire knowledge and practical experience in the field of information processing, including the acquisition of useful skills. Software R offers a large number of methods for implementing of the functional programming paradigm during the corresponding project creation and implementation. For these reasons, the proposed course is actual and interesting for students who are focused to development and practical implementations of IT technologies based on R language.   
 
Lecture Notes:
 
Week Topics Notes Assignments Due date/
Remarks
1

Data visualization techniques in R  

 download Moodle https://kacer.ujep.cz/course/view.php?id=65
         
2 Basic concepts of regression analysis   download Moodle https://kacer.ujep.cz/course/view.php?id=65
3 Basic of data exploration in R  download Moodle https://kacer.ujep.cz/course/view.php?id=65
         
4 Techniques of data managing and transforming   download Moodle https://kacer.ujep.cz/course/view.php?id=65
5 Basics of data clustering. Clustering quality criteria   download Moodle https://kacer.ujep.cz/course/view.php?id=65
         
6 K-means, C-means and Hierarchical Clustering Algorithms in R  download Moodle https://kacer.ujep.cz/course/view.php?id=65
         
7 Density-Based DBSCAN and OPTICS Clustering Algorithms in R download Moodle https://kacer.ujep.cz/course/view.php?id=65
         
8

Data Classification: Basic Concepts and Application with R

download Moodle https://kacer.ujep.cz/course/view.php?id=65
         
9

Basics of Fuzzy Logic. Steps of Fuzzy Inference Process Implementation 

download Moodle https://kacer.ujep.cz/course/view.php?id=65
10 Practical Implementation of Fuzzy Inference Techniques Based on R Software Tools download Moodle https://kacer.ujep.cz/course/view.php?id=65
         
11 Basics Concepts of Time Series Processing. download Moodle https://kacer.ujep.cz/course/view.php?id=65
         
12 Techniques of Time Series Analysis and Processing Based on R Software Tools download Moodle https://kacer.ujep.cz/course/view.php?id=65
         
13 Applying Data Mining Techniques for Data Processing Based on R Software Tools  download Moodle https://kacer.ujep.cz/course/view.php?id=65