SEN2104 Database Management SystemsBahçeşehir UniversityDegree Programs PSYCHOLOGYGeneral Information For StudentsDiploma SupplementErasmus Policy StatementNational QualificationsBologna Commission
PSYCHOLOGY
Bachelor TR-NQF-HE: Level 6 QF-EHEA: First Cycle EQF-LLL: Level 6

Course Introduction and Application Information

Course Code Course Name Semester Theoretical Practical Credit ECTS
SEN2104 Database Management Systems Fall 3 2 4 7
This catalog is for information purposes. Course status is determined by the relevant department at the beginning of semester.

Basic information

Language of instruction: English
Type of course: Non-Departmental Elective
Course Level: Bachelor’s Degree (First Cycle)
Mode of Delivery: Hybrid
Course Coordinator : Dr. Öğr. Üyesi TAMER UÇAR
Course Lecturer(s): Dr. Öğr. Üyesi TAMER UÇAR
RA SEVGİ CANPOLAT
Dr. Öğr. Üyesi ÖZGÜR ERKUT ŞAHİN
RA MERVE ARITÜRK
Prof. Dr. ADEM KARAHOCA
Recommended Optional Program Components: None
Course Objectives: The students will have the ability to analyze and design databases using the entity-relationship model. They will have the ability to define database querying techniques such as relational algebra and SQL. Besides these topics, the students will have the ability to identify relational database design approaches, indexing, query processing, and query optimization. Students will be able to define basic data analysis and data mining concepts.

Learning Outcomes

The students who have succeeded in this course;
1. Define the entity-relationship model.
2. Define the relational data model.
3. Define the relational algebra query language.
4. Define the SQL language.
5. Identify the relational database design approach.
6. Identify indexing, query processing and query optimization.
7. Define basic data analysis and data mining concepts.

Course Content

The course content is composed of entity-relationship model, relational data model, relational algebra, SQL, relational database design, indexing, query processing, query optimization, data analysis and data mining related topics.

Weekly Detailed Course Contents

Week Subject Related Preparation
1) Introduction to Database Management Systems
2) Entity-Relationship Model
3) Introduction to Relational Data Model
4) Relational Algebra
5) Relational Algebra
6) Applying Relational Algebra Principles to Database Design and Practice
7) Structured Query Language (SQL)
8) Structured Query Language (SQL)
9) Relational Database Design
10) Relational Database Design
11) Relational Database Design
12) Indexing and Query Processing
13) Query Processing and Query Optimization
14) Data Analysis and Data Mining

Sources

Course Notes / Textbooks: Database System Concepts (6th Edition), Abraham Silberschatz, Henry Korth and S. Sudarshan, ISBN-13: 978-0073523323

Fundamentals of Database Systems (7th Edition), Ramez Elmasri and Shamkant Navathe, ISBN-13: 978-0133970777
References: -

Evaluation System

Semester Requirements Number of Activities Level of Contribution
Quizzes 3 % 20
Project 1 % 15
Midterms 1 % 25
Final 1 % 40
Total % 100
PERCENTAGE OF SEMESTER WORK % 45
PERCENTAGE OF FINAL WORK % 55
Total % 100

ECTS / Workload Table

Activities Number of Activities Duration (Hours) Workload
Total Workload

Contribution of Learning Outcomes to Programme Outcomes

No Effect 1 Lowest 2 Low 3 Average 4 High 5 Highest
           
Program Outcomes Level of Contribution
1) To develop an interest in the human mind and behavior, to be able to evaluate theories using empirical findings, to understand that psychology is an evidence-based science by acquiring critical thinking skills.
2) To gain a biopsychosocial perspective on human behavior. To understand the biological, psychological, and social variables of behavior.
3) To learn the basic concepts in psychology and the theoretical and practical approaches used to study them (e.g. basic observation and interview techniques).
4) To acquire the methods and skills to access and write information using English as the dominant language in the psychological literature, to recognize and apply scientific research and data evaluation techniques (e.g. correlational, experimental, cross-sectional and longitudinal studies, case studies).
5) To be against discrimination and prejudice; to have ethical concerns while working in research and practice areas.
6) To recognize the main subfields of psychology (experimental, developmental, clinical, cognitive, social and industrial/organizational psychology) and their related fields of study and specialization.
7) To acquire the skills necessary for analyzing, interpreting and presenting the findings as well as problem posing, hypothesizing and data collection, which are the basic elements of scientific studies.
8) To gain the basic knowledge and skills necessary for psychological assessment and evaluation.
9) To acquire basic knowledge of other disciplines (medicine, genetics, biology, economics, sociology, political science, communication, philosophy, anthropology, literature, law, art, etc.) that will contribute to psychology and to use this knowledge in the understanding and interpretation of psychological processes.
10) To develop sensitivity towards social problems; to take responsibility in activities that benefit the field of psychology and society.
11) To have problem solving skills and to be able to develop the necessary analytical approaches for this.
12) To be able to criticize any subject in business and academic life and to be able to express their thoughts.