Information Package / Course Catalogue
| Psychology | |||||
| Bachelor | Length of the Programme: 4 | Number of Credits: 240 | TR-NQF-HE: Level 6 | QF-EHEA: First Cycle | EQF: Level 6 |
Ders Genel Tanıtım Bilgileri
| School/Faculty/Institute | Faculty of Engineering | |||||
| Course Code | COMP 305 | |||||
| Course Title in English | Database Management Systems | |||||
| Course Title in Turkish | Veritabanı Yönetim Sistemleri | |||||
| Language of Instruction | EN | |||||
| Type of Course | Exercise,Lecture | |||||
| Level of Course | Introductory | |||||
| Semester | Fall | |||||
| Contact Hours per Week |
|
|||||
| Estimated Student Workload | 138 hours per semester | |||||
| Number of Credits | 6 ECTS | |||||
| Grading Mode | Standard Letter Grade | |||||
| Pre-requisites |
COMP 106 - Object-Oriented Programming | COMP 110 - Object-Oriented Programming (JAVA) |
|||||
| Expected Prior Knowledge | Object Oriented Programming | |||||
| Co-requisites | None | |||||
| Registration Restrictions | Only Undergraduate Students | |||||
| Overall Educational Objective | To learn the fundamentals of database technology. | |||||
| Course Description | The main objective of this course is to present the fundamentals of database technology. The course is mainly designed to teach the use of a database management system (DBMS) by treating it as a black box and by focusing only on its functionality and its interfaces. Within this context, the course will deal with data modeling and design of a database. This course provides a comprehensive introduction to some fundamental aspects of Database Management. The following topics are covered: Database concepts, Relational model, Application development, Database design, normalization, entity-relationship models. | |||||
| Course Description in Turkish | Dersin amacı öğrencilerin bir bilgi sisteminin temelini oluşturan veri tabanının mantıksal ve fiziksel olarak nasıl modellendiğini, nasıl yönetildiğini, ve özellikle verinin bilgiye dönüştürülmesi safhalarında yapacakları müdahaleleri öğrenmeleridir. Öğrencilerin bu veri tabanı yönetim sistemini kullanarak veri tabanı yönetimi konusunda da uzmanlaşması beklenmektedir. |
Course Learning Outcomes and CompetencesUpon successful completion of the course, the learner is expected to be able to:1) Describe the fundamental elements of relational database management systems 2) Explain the basic concepts of relational data model, entity-relationship model, relational database design, relational algebra and SQL. 3) Design ER-models to represent simple database application scenarios 4) Convert the ER-model to relational tables, populate relational database and formulate SQL queries on data. 5) As a member of a team, design a new DBMS. 6) Present the DBMS project in front of an audience. |
| Program Learning Outcomes/Course Learning Outcomes | 1 | 2 | 3 | 4 | 5 | 6 |
|---|---|---|---|---|---|---|
| 1) Thorough knowledge of the major concepts, theoretical perspectives, empirical findings, and historical trends in psychology. | ||||||
| 2) Understanding of and ability to apply essential research methods in psychology, including research design, data analysis, and data interpretation. | ||||||
| 3) Competence to use critical and creative thinking, skeptical inquiry and a scientific approach to solving problems related to behavior and mental processes. | ||||||
| 4) Understanding and ability to apply psychological principles, skills and values in personal, social, and organizational contexts. | ||||||
| 5) Ability to weigh evidence, to tolerate ambiguity, and to reflect other values that underpin psychology as a discipline. | ||||||
| 6) Internalization and dissemination of professional ethical standards. | ||||||
| 7) Demonstration of competence in information technologies, and the ability to use computer and other technologies for purposes related to the pursuit of knowledge in psychology and the broader social sciences. | ||||||
| 8) Skills to communicate the knowledge of psychological science effectively, in a variety of formats, in both Turkish and in English (in English, at least CEFR B2 level). | ||||||
| 9) Recognition, understanding, and respect for the complexity of sociocultural and international diversity. | ||||||
| 10) Recognition for the need for, and the skills to pursue, lifelong learning, inquiry, and self-improvement. | ||||||
| 11) Ability to formulate critical hypotheses based on psychological theory and literature, and design studies to test those hypotheses. | ||||||
| 12) Ability to acquire knowledge independently, and to plan one’s own learning. | ||||||
| 13) Demonstration of advanced competence in the clarity and composition of written work and presentations. |
Relation to Program Outcomes and Competences
| N None | S Supportive | H Highly Related |
| Program Outcomes and Competences | Level | Assessed by | |
| 1) | Thorough knowledge of the major concepts, theoretical perspectives, empirical findings, and historical trends in psychology. | N | |
| 2) | Understanding of and ability to apply essential research methods in psychology, including research design, data analysis, and data interpretation. | N | |
| 3) | Competence to use critical and creative thinking, skeptical inquiry and a scientific approach to solving problems related to behavior and mental processes. | H | Exam,HW,Participation |
| 4) | Understanding and ability to apply psychological principles, skills and values in personal, social, and organizational contexts. | N | |
| 5) | Ability to weigh evidence, to tolerate ambiguity, and to reflect other values that underpin psychology as a discipline. | N | |
| 6) | Internalization and dissemination of professional ethical standards. | N | |
| 7) | Demonstration of competence in information technologies, and the ability to use computer and other technologies for purposes related to the pursuit of knowledge in psychology and the broader social sciences. | N | |
| 8) | Skills to communicate the knowledge of psychological science effectively, in a variety of formats, in both Turkish and in English (in English, at least CEFR B2 level). | N | |
| 9) | Recognition, understanding, and respect for the complexity of sociocultural and international diversity. | S | Participation |
| 10) | Recognition for the need for, and the skills to pursue, lifelong learning, inquiry, and self-improvement. | S | HW,Participation |
| 11) | Ability to formulate critical hypotheses based on psychological theory and literature, and design studies to test those hypotheses. | N | |
| 12) | Ability to acquire knowledge independently, and to plan one’s own learning. | S | Exam,HW |
| 13) | Demonstration of advanced competence in the clarity and composition of written work and presentations. | H | Exam,HW |
| Prepared by and Date | İLKER BEKMEZCİ , January 2021 |
| Course Coordinator | İLKER BEKMEZCİ |
| Semester | Fall |
| Name of Instructor | Prof. Dr. ADEM KARAHOCA |
Course Contents
| Week | Subject |
| 1) | Introduction and Fundamental Concepts |
| 2) | ER Diagram 1 |
| 3) | ER Diagram 2 |
| 4) | Relational Algebra and Calculus |
| 5) | Relational Model |
| 6) | Normalization of a Relation |
| 7) | SQL Queries – DDL |
| 8) | Implementation of DBMS |
| 9) | Project Presentations - 1 |
| 10) | SQL Queries – DML |
| 11) | SQL Queries – Advanced DML -1 |
| 12) | SQL Queries – Advanced DML -2 |
| 13) | Database Application Development |
| 14) | Stored procedures |
| 15) | Final Exam/Project/Presentation Period |
| 16) | Final Exam/Project/Presentation Period |
| Required/Recommended Readings | Database management systems, by Raghu Ramakrishnan and Johannes Gehrke. 3rd edition, McGraw-Hill. | |||||||||||||||
| Teaching Methods | Lecturing, in-class exercises and 1 term project will be carried out by students | |||||||||||||||
| Homework and Projects | In-class exercises, 1 term project | |||||||||||||||
| Laboratory Work | None | |||||||||||||||
| Computer Use | For Database design, Database querying, and Database Administration | |||||||||||||||
| Other Activities | ||||||||||||||||
| Assessment Methods |
|
|||||||||||||||
| Course Administration |
bekmezcii@mef.edu.tr |
|||||||||||||||
ECTS Student Workload Estimation
| Activity | No/Weeks | Hours | Calculation | ||||
| No/Weeks per Semester | Preparing for the Activity | Spent in the Activity Itself | Completing the Activity Requirements | ||||
| Course Hours | 14 | 1 | 3 | 1 | 70 | ||
| Project | 1 | 15 | 1 | 16 | |||
| Homework Assignments | 2 | 4 | 3 | 14 | |||
| Midterm(s) | 2 | 16 | 3 | 38 | |||
| Total Workload | 138 | ||||||
| Total Workload/25 | 5.5 | ||||||
| ECTS | 6 | ||||||