Internet Data Analysis 510-IS2-2ADI-23
Profile: general-academic
Form of studies: stationary
Course type: obligatory
Field and the discipline of the science: sciences and natural sciences, computer science
Year of studies/semester: 2/3
Preliminary requirements (so-called sequential system of classes and examinations): no
Lecture: 15, laboratory classes: 15
Didactic methods: lecture, presentation, discussion, laboratory classes, didactic materials in pdf format, instructions at laboratory calsses, consultations)
ECTS: 3
Balance of the workload of the student:
Participation in the classes:
- lecture: 15 h,
- laboratory classes: 15 h,
Review of literature: 12 h
Reports of classes, homeworks: 10 h
Preparation for test: 4 h
Preparation for exam: 6 h
Exam: 2 h
Participation in consultations: 10.5 h
Quantitative indicators:
requiring the direct participation of the teacher: 42,5h, 1,7 ECTS
on the nature of practical cases: 32h, 1,3 ECTS
Type of course
Prerequisites (description)
Course coordinators
Learning outcomes
Learning outcomes. Student:
Knows the main methods of internet data analysis KP7_WK1
Knows the main computer systems for internet data analysis KP7_WK1
Is able to apply the main methods of internet data analysis KP7_UW12, KP7_UW15
Is able to use the software for internet data analysis KP7_UW11, KP7_UW12, KP7_UW15
Is able to organize work properly to solve simple problems from internet data analysis KP7_UW12, KP7_UW15, KP7_UU3, KP7_KR2
Extends his knowledge systematically KP7_KR1, KP7_UU2
Solves problems creatively KP7_UW11, KP7_UO4, KP7_KR2
Assessment criteria
The general form of the pass: passing on the assessment of the laboratory and and exam from lecture.
Bibliography
Core Reading:
Waisberg D., Google Analytics: Data Integration and Analysis, Helion, 2016.
Kaushik A., Web Analytics 2.0: Conscious Website Development. Helion, 2010.
Grappone J., Couzin G., An Hour a Day with SEO. Climb to the Top of Search Engines. Helion, 2010.
Kaushik A., An Hour a Day with WebAnalytics, Helion, 2009.
Supplementary Reading:
Zastrożna M., Google Analytics for Marketers, Helion, 2015.
Mullen J., Daniels D., An Hour a Day with Email Marketing. Helion, 2013.
Cutroni J., Google Analytics. Understanding Visitor Behavior, Helion, 2010.
Ash T., Landing Page: Optimization, Testing, Conversion, Helion, 2009.
McGovern G., Killer Web Content, Helion, 2009.
Additional information
Additional information (registration calendar, class conductors, localization and schedules of classes), might be available in the USOSweb system: