openHPI is the educational internet platform of the
Hasso Plattner Institute (HPI) for Software Systems
Engineering. The HPI is affiliated with the University
of Potsdam and offers a practical and engineering
oriented study program in IT System Engineering.
has participated in the following openHPI course:
Total result (Homework and Final Exam)
Record of Achievement
Potsdam, May 5, 2015
Prof. Dr. Jürgen Döllner
Course Instructor
Prof. Dr. Christoph Meinel
Head of openHPI
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by Prof. Dr. Jürgen Döllner
The 6-week course covered the following topics:
Week 1: Introduction to Software Engineering
Week 2: Software Metrics
Week 3: Software Analytics
Week 4: Automated Data Mining and Visualization Techniques
Week 5: Applying Visual Software Analytics
Week 6: Related Techniques and Outlook
Automated Visual Software
Analytics
At the conclusion of this course, participants should be able to:
outline concepts and methods from scientific fields that contribute to software
analytics;
describe objectives underlying “data-driven” software engineering approaches;
discuss challenges for software maintenance;
list, describe, and compare software metrics as quality measures;
outline and contrast different visualization techniques;
obtain first experience in using automated visual software analytics tools;
reflect on using elements of automated visual software analytics in own projects as
means to improve effectiveness of software development processes.
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Roman Ganopolskyi
rga.roman@gmail.com
born on: January 19, 1986
115 out of 180 possible points (64%)
Verify online: https://open.hpi.de/verify/xerap-funin-kemid-zacub-sasis

softwareanalytics2015-RecordOfAchievement

  • 1.
    openHPI is theeducational internet platform of the Hasso Plattner Institute (HPI) for Software Systems Engineering. The HPI is affiliated with the University of Potsdam and offers a practical and engineering oriented study program in IT System Engineering. has participated in the following openHPI course: Total result (Homework and Final Exam) Record of Achievement Potsdam, May 5, 2015 Prof. Dr. Jürgen Döllner Course Instructor Prof. Dr. Christoph Meinel Head of openHPI ■ ■ ■ ■ ■ ■ by Prof. Dr. Jürgen Döllner The 6-week course covered the following topics: Week 1: Introduction to Software Engineering Week 2: Software Metrics Week 3: Software Analytics Week 4: Automated Data Mining and Visualization Techniques Week 5: Applying Visual Software Analytics Week 6: Related Techniques and Outlook Automated Visual Software Analytics At the conclusion of this course, participants should be able to: outline concepts and methods from scientific fields that contribute to software analytics; describe objectives underlying “data-driven” software engineering approaches; discuss challenges for software maintenance; list, describe, and compare software metrics as quality measures; outline and contrast different visualization techniques; obtain first experience in using automated visual software analytics tools; reflect on using elements of automated visual software analytics in own projects as means to improve effectiveness of software development processes. ■ ■ ■ ■ ■ ■ ■ Roman Ganopolskyi rga.roman@gmail.com born on: January 19, 1986 115 out of 180 possible points (64%) Verify online: https://open.hpi.de/verify/xerap-funin-kemid-zacub-sasis