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SECOND CYCLE - MASTER'S DEGREE
THE GRADUATE SCHOOL OF SOCIAL SCIENCES
MANAGEMENT INFORMATION SYSTEMS DEPARTMENT
2315 MANAGEMENT INFORMATION SYSTEMS
Course Information
Course Learning Outcomes
Course's Contribution To Program
ECTS Workload
Course Details
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COURSE INFORMATION
Course Code
Course Title
L+P Hour
Semester
ECTS
YOBS 502
DATA ANALYTICS AND METHODS
3 + 0
2nd Semester
7,5
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
1
Developing information about data analytics theory and practice
COURSE'S CONTRIBUTION TO PROGRAM
PO 01
PO 02
PO 03
PO 04
PO 05
PO 06
PO 07
PO 08
PO 09
PO 10
PO 11
PO 12
LO 001
Sub Total
Contribution
0
0
0
0
0
0
0
0
0
0
0
0
ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION
Activities
Quantity
Duration (Hour)
Total Work Load (Hour)
Course Duration (14 weeks/theoric+practical)
14
3
42
Hours for off-the-classroom study (Pre-study, practice)
14
3
42
Assignments
2
40
80
Mid-terms
1
13
13
Final examination
1
18
18
Total Work Load
ECTS Credit of the Course
195
7,5
COURSE DETAILS
Select Year
All Years
2023-2024 Spring
2022-2023 Spring
2021-2022 Spring
2020-2021 Spring
Course Term
No
Instructors
Details
2023-2024 Spring
1
SELÇUK BURAK HAŞILOĞLU
Details
2022-2023 Spring
1
SELÇUK BURAK HAŞILOĞLU
Details
2021-2022 Spring
1
SELÇUK BURAK HAŞILOĞLU
Details
2020-2021 Spring
1
SELÇUK 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 Methods
Percentage (%)
Assesment Methods Title
Final Exam
50
Final Exam
Midterm Exam
50
Midterm Exam
L+P:
Lecture and Practice
PQ:
Program Learning Outcomes
LO:
Course Learning Outcomes
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Home Page
About University
Name And Address
Acedemic Authorities
General Discription
Academic Calendar
General Admission Requirements
Recognition of Prior Learning
General Registration Procedures
ECTS Credit Allocation
Academic Guidance
Information For Students
Cost Of Living
Accommodation
Meals
Medical Facilities
Facilities for Special Needs Students
Insurance
Financial Support for Students
Student Affairs
Learning Facilities
International Programs
Language Courses
Internships
Sports Facilities and Leisure Activities
Student Associations
Practical Information for Mobile Students
Degree Programmes