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COURSE INFORMATION
Course CodeCourse TitleL+P HourSemesterECTS
YOBS 502DATA ANALYTICS AND METHODS3 + 02nd Semester7,5

COURSE DESCRIPTION
Course Level Master's Degree
Course Type Compulsory
Course Objective 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
Assignments24080
Mid-terms11313
Final examination11818
Total Work Load

ECTS Credit of the Course






195

7,5
COURSE DETAILS
 Select Year   


 Course TermNoInstructors
Details 2023-2024 Spring1SELÇUK BURAK HAŞILOĞLU
Details 2022-2023 Spring1SELÇUK BURAK HAŞILOĞLU
Details 2021-2022 Spring1SELÇUK BURAK HAŞILOĞLU
Details 2020-2021 Spring1SELÇUK BURAK HAŞILOĞLU


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Course Details
Course Code Course Title L+P Hour Course Code Language Of Instruction Course Semester
YOBS 502 DATA ANALYTICS AND METHODS 3 + 0 1 Turkish 2023-2024 Spring
Course Coordinator  E-Mail  Phone Number  Course Location Attendance
Prof. Dr. SELÇUK BURAK HAŞILOĞLU hasiloglu@pau.edu.tr İİBF B0220 %
Goals 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.
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.
Topics
Materials
Materials are not specified.
Resources
Course Assessment
Assesment MethodsPercentage (%)Assesment Methods Title
Final Exam50Final Exam
Midterm Exam50Midterm Exam
L+P: Lecture and Practice
PQ: Program Learning Outcomes
LO: Course Learning Outcomes