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COURSE INFORMATION
Course CodeCourse TitleL+P HourSemesterECTS
YOBS 638DATA ANALYTICS3 + 02nd Semester7,5

COURSE DESCRIPTION
Course Level Doctorate Degree
Course Type Elective
Course Objective This course provides training in data analytics methods, emphasising statistical perspectives. Studends will receive a thorough grounding in theory, as well as the technical and practical skills of data analytics. The course aims to develop learners' knowledge of the theory and practice of data analytics necessary for them to secure employment and perform at postgraduate level in the areas of ICT in a broad range of commercial and industrial environments. This course will provide an introduction to methods of data analytics and data analysis.
Course Content This course provides training in data analytics methods, emphasising statistical perspectives. Studends will receive a thorough grounding in theory, as well as the technical and practical skills of data analytics.
Prerequisites No the prerequisite of lesson.
Corequisite No the corequisite of lesson.
Mode of Delivery Face to Face

COURSE LEARNING OUTCOMES
1Developing information about data analytics theory and practice

COURSE'S CONTRIBUTION TO PROGRAM
PO 01PO 02PO 03PO 04PO 05PO 06PO 07PO 08PO 09PO 10PO 11PO 12
LO 001            
Sub Total            
Contribution000000000000

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION
ActivitiesQuantityDuration (Hour)Total Work Load (Hour)
Course Duration (14 weeks/theoric+practical)14342
Hours for off-the-classroom study (Pre-study, practice)14342
Assignments12020
Mid-terms12929
Final examination13232
Presentation / Seminar Preparation13030
Total Work Load

ECTS Credit of the Course






195

7,5
COURSE DETAILS
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L+P: Lecture and Practice
PQ: Program Learning Outcomes
LO: Course Learning Outcomes