Information Package / Course Catalogue
Data Processing and Artificial Intelligence Technologies in Offices
Course Code: BYA235
Course Type: Required
Couse Group: Short Cycle (Associate's Degree)
Education Language: Turkish
Work Placement: N/A
Theory: 2
Prt.: 0
Credit: 2
Lab: 0
ECTS: 3
Objectives of the Course

It aims to teach students the basic processes from the existence of information to its destruction, the basic concepts of decision support systems, business processes and information security.

Course Content

Decision support systems, expert systems, business process models, characteristics of information, state of information, development of basic information technologies, digital information, big data, artificial intelligence, data management, data security models, business intelligence, database technologies, basic programming

Name of Lecturer(s)
Ins. Cemal KOYUNCU
Learning Outcomes
1.It enables students to use the technological infrastructure in the office effectively.
2.Provides basic programming and security-related skills in information systems
3.Knowledge life cycle skills are gained
4.decision support systems
5.basic programming
Recommended or Required Reading
1.Ayşe ÇINAR, Yönetim Bilişim Sistemleri, Papatya Bilim, 2014
Weekly Detailed Course Contents
Week 1 - Theoretical
Basic Knowledge Concept
Week 2 - Theoretical
Characteristic of Knowledge
Week 3 - Theoretical
State of Information
Week 4 - Theoretical
Information Lifecycle
Week 5 - Theoretical
Digital Information and Big Data
Week 6 - Theoretical
Data Mining and Artificial Intelligence
Week 7 - Theoretical
Blockchain Technologies
Week 8 - Intermediate Exam
OSI Architecture Midterm
Week 9 - Theoretical
OSI Architecture
Week 10 - Theoretical
ISO 27001 Information Security Management Systems
Week 11 - Theoretical
Personal Data Protection Law
Week 12 - Theoretical
X800 Security Model
Week 13 - Theoretical
Network Technologies
Week 14 - Theoretical
Decision Support Systems
Assessment Methods and Criteria
Type of AssessmentCountPercent
Midterm Examination1%40
Final Examination1%60
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory104040
Assignment101515
Midterm Examination1819
Final Examination110111
TOTAL WORKLOAD (hours)75
Contribution of Learning Outcomes to Programme Outcomes
PÇ-1
PÇ-2
PÇ-3
PÇ-4
PÇ-5
PÇ-6
PÇ-7
PÇ-8
PÇ-9
PÇ-10
PÇ-11
PÇ-12
PÇ-13
PÇ-14
PÇ-15
OÇ-1
5
OÇ-2
4
OÇ-3
5
OÇ-4
5
OÇ-5
5
Adnan Menderes University - Information Package / Course Catalogue
2026