EM518 Database Management and Decision Support Systems

6 ECTS - 3-0 Duration (T+A)- 2. Semester- 3 National Credit

Information

Unit INSTITUTE OF NATURAL AND APPLIED SCIENCES
INDUSTRIAL ENGINEERING (MASTER) (WITH THESIS)
Code EM518
Name Database Management and Decision Support Systems
Term 2019-2020 Academic Year
Term Spring
Duration (T+A) 3-0 (T-A) (17 Week)
ECTS 6 ECTS
National Credit 3 National Credit
Teaching Language İngilizce
Level Belirsiz
Type Normal
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Prof. Dr. HACİRE OYA YÜREGİR
Course Instructor
The current term course schedule has not been prepared yet.


Course Goal / Objective

The aim of the course is to inform students abou data,, database management and decision support systems.

Course Content

Bu dersin amacı: (1) veritabanı tasarımı ve manipülasyonu ilkelerini öğretmek, (2) birçok yapısal ve yarı yapılandırılmış iş karar problemi için etkin yazılım desteği karmaşık sorununu araştırmaktır. Konular: kavramsal, mantıksal ve fiziksel veritabanı tasarımı; bilgi sözlüğü; ilişkisel modelleme; Karar Destek Sistemleri.

Course Precondition

Resources

Notes



Course Learning Outcomes

Order Course Learning Outcomes
LO01 new methods
LO02 research and discussion methods
LO03 analytical thinking
LO04 project management
LO05 leadership
LO06 Reading English articles and summarizing
LO07 Developing Research and discussion methods
LO08 Following and evaluating new technologies


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 - Understands, interprets and applies knowledge in his/her field domain both in-depth and in-breadth by doing scientific research in industrial engineering.
PLO02 - Acquires comprehensive knowledge about methods and tools of industrial engineering and their limitations.
PLO03 - Designs and performs analytical modeling and experimental research and analyze/solves complex matters emerged in this process.
PLO04 - Completes and applies the knowledge by using scarce and limited resources in a scientific way and integrates the knowledge into various disciplines.
PLO05 - Keeps up with the recent changes and applications in the field of Industrial Engineering and examines and learns these innovations when necessary.
PLO06 - Has the ability to propose new and/or original ideas and methods, develops innovative solutions for designing systems, components or processes.
PLO07 - Designs Industrial Engineering problems, develops innovative methods to solve the problems and applies them.
PLO08 - Works in multi-disciplinary teams and takes a leading role and responsibility.
PLO09 - Identifies, gathers and uses necessary information and data.
PLO10 - Follows, studies and learns new and developing applications of industrial engineering.
PLO11 - Uses a foreign language in verbal and written communication at least B2 level of European Language Portfolio.
PLO12 - Presents his/her research findings systematically and clearly in oral and written forms in national and international platforms.
PLO13 - Understands social and environmental implications of engineering practice.
PLO14 - Considers social, scientific and ethical values in the process of data collection, interpretation and announcement of the findings.
PLO15 - Works in multi-disciplinary teams, take a leading role and responsibility and develop solutions for complex problems.


Week Plan

Week Topic Preparation Methods
1 introduction syllabus
2 data concepts handouts
3 data management handouts
4 Data base management systems handouts
5 Data base management systems handouts
6 Data base management systems handouts
7 methods used in dbms handouts
8 Mid-Term Exam
9 methods used in dbms handouts
10 methods used in dbms handouts
11 decision support systems concept handouts
12 applications in decision support systems handouts
13 applications in decision support systems handouts
14 applications in decision support systems handouts
15 project presentation proje guidelines
16 Term Exams
17 Term Exams

Update Time: 11.01.2020 02:04