ECTS - Introduction to Database Systems for Social Sciences

Introduction to Database Systems for Social Sciences (ECON556) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
Introduction to Database Systems for Social Sciences ECON556 3 0 0 3 5
Pre-requisite Course(s)
N/A
Course Language English
Course Type N/A
Course Level Social Sciences Master's Degree
Mode of Delivery Face To Face
Learning and Teaching Strategies Lecture.
Course Coordinator
Course Lecturer(s)
  • Dr. Dersin Öğretim Üyesi
Course Assistants
Course Objectives This course aims to introduce economics department students to basics of database systems. This course is mainly focused on understanding relational databases.
Course Learning Outcomes The students who succeeded in this course;
  • The student can understand an existing relational database or can create a new one with understanding of the topic.
  • The student can create queries to retrieve specific data.
  • The student can create diagrams that would visualize the relational databases.
Course Content Çeşitli tahmin tekniklerine giriş, enflasyon, büyüme veya tüketim gibi çeşitli değişkenlerin önceden tahmin edilmesi ve istatistiksel modeller kurularak bu modellerin iktisadi politika tepkilerini tahmin etmek için kullanılması; çeşitli ülkelerin veri setlerinin kullanılarak model kurma, tahmin ve politika analizi gibi konuların uygulamalı olarak gösterilmesi.

Weekly Subjects and Releated Preparation Studies

Week Subjects Preparation
1 Introduction to Databases Systems Lecture notes available
2 Relational Data Models Lecture notes available
3 Relational Data Models Lecture notes available
4 Relational Data Models Lecture notes available
5 Relational Algebra Lecture notes available
6 Relational Algebra Lecture notes available
7 Structured Query Language (SQL) Lecture notes available
8 Structured Query Language (SQL) Lecture notes available
9 Structured Query Language (SQL) Lecture notes available
10 Relational Database Design Lecture notes available
11 Relational Database Design Lecture notes available
12 ER-Diagrams Lecture notes available
13 Introduction to No-SQL Database Systems Lecture notes available
14 Introduction to No-SQL Database Systems Lecture notes available

Sources

Course Book 1. C.J. Date (2004) “An Introduction to Database Systems”, 8rd Edition, Addison-Wesley

Evaluation System

Requirements Number Percentage of Grade
Attendance/Participation 14 10
Laboratory - -
Application - -
Field Work - -
Special Course Internship - -
Quizzes/Studio Critics - -
Homework Assignments - -
Presentation 2 20
Project - -
Report - -
Seminar - -
Midterms Exams/Midterms Jury 1 20
Final Exam/Final Jury 1 50
Toplam 18 100
Percentage of Semester Work
Percentage of Final Work 100
Total 100

Course Category

Core Courses X
Major Area Courses
Supportive Courses
Media and Managment Skills Courses
Transferable Skill Courses

The Relation Between Course Learning Competencies and Program Qualifications

# Program Qualifications / Competencies Level of Contribution
1 2 3 4 5
1 To compare main microeconomic theories, approaches and make a critical evaluation of each
2 To compare main macroeconomic theories, approaches and make a critical evaluation of each
3 To apply mathematical modeling X
4 To employ statistical and econometric tools in analyzing an economic phenomena X
5 To analyze the main economic indicators and comment on them X
6 To acquire theoretical knowledge through literature survey and derive empirically confirmable hypothesis
7 To make a research design and carry it out within predetermined time frames X
8 To be able to develop new approaches for complex problems in applied economics and/or apply statistical/econometric tools to new areas/problems X
9 To formulate and present policy recommendations based on academic research
10 To combine economic knowledge with other disciplines in order to solve problems requiring scientific expertise X
11 To use information technology effectively X
12 To continue learning and undertake advanced research independently X

ECTS/Workload Table

Activities Number Duration (Hours) Total Workload
Course Hours (Including Exam Week: 16 x Total Hours) 14 3 42
Laboratory
Application
Special Course Internship
Field Work
Study Hours Out of Class 14 3 42
Presentation/Seminar Prepration 1 21 21
Project
Report
Homework Assignments
Quizzes/Studio Critics
Prepration of Midterm Exams/Midterm Jury 1 20 20
Prepration of Final Exams/Final Jury 1 25 25
Total Workload 150