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THIRD CYCLE - DOCTORATE DEGREE
THE GRADUATE SCHOOL OF SOCIAL SCIENCES
MANAGEMENT INFORMATION SYSTEMS DEPARTMENT
2619 MANAGEMENT INFORMATION SYSTEMS PHD
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 601
DATA ANALYTICS AND RESEARCH METHODS
3 + 0
1st Semester
7,5
COURSE DESCRIPTION
Course Level
Doctorate Degree
Course Type
Compulsory
Course Objective
Students who completed this course are able to develop scientific inquiries, analyze the results of experiments/computational experiments systematically, learn how they present their research results consistently, and identify and solve ethical issues. 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.
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
1
20
20
Mid-terms
1
29
29
Final examination
1
32
32
Presentation / Seminar Preparation
1
30
30
Total Work Load
ECTS Credit of the Course
195
7,5
COURSE DETAILS
Select Year
All Years
2023-2024 Fall
2022-2023 Fall
2021-2022 Fall
Course Term
No
Instructors
Details
2023-2024 Fall
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 601
DATA ANALYTICS AND RESEARCH METHODS
3 + 0
1
Turkish
2023-2024 Fall
Course Coordinator
E-Mail
Phone Number
Course Location
Attendance
Prof. Dr. SELÇUK BURAK HAŞILOĞLU
hasiloglu@pau.edu.tr
İİBF B0220
%
Goals
Students who completed this course are able to develop scientific inquiries, analyze the results of experiments/computational experiments systematically, learn how they present their research results consistently, and identify and solve ethical issues. 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.
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