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Course Information
Course Unit Title : Data Management
Course Unit Code : 01EEN5136
Type of Course Unit : Optional
Level of Course Unit : Second Cycle
Year of Study : Preb
Semester : 255.Semester
Number of ECTS Credits Allocated : 6,00
Name of Lecturer(s) : ---
Course Assistants :
Learning Outcomes of The Course Unit : they will be familiar with the programming languages.
they will be familiar with the database systems and meta data.
they will be write the program with phyton programming languages.
They will be use the R software.
Mode of Delivery : Face-To-Face
Prerequisities and Co-requisities Courses : Unavailable
Recommended Optional Programme Components : Unavailable
Course Contents : Programming languages, database and meta data concepts, phyton programming languages, R software
Languages of Instruction : Turkish-English
Course Goals : Familiarity with the basics of programming languages.
Familiarity with the about phyton programming language.
Familiarity with the database systems and meta data.
Familiarity with the R software.
Course Aims : With the development of information systems and technologies together in a large amount of data is stored in computer systems. In this course, How to analyze which issues will be addressed with Phyton programming language and R software.
WorkPlacement  
Recommended or Required Reading
Textbook :
Additional Resources :
Material Sharing
Documents :
Assignments :
Exams :
Additional Material :
Planned Learning Activities and Teaching Methods
Lectures, Practical Courses, Presentation, Seminar, Project, Laboratory Applications (if necessary)
ECTS / Table Of Workload (Number of ECTS credits allocated)
Student workload surveys utilized to determine ECTS credits.
Activity :
Number Duration Total  
Course Duration (Excluding Exam Week) :
14 2 28  
Time Of Studying Out Of Class :
14 3 42  
Homeworks :
4 20 80  
Presentation :
0 0 0  
Project :
1 10 10  
Lab Study :
0 0 0  
Field Study :
0 0 0  
Visas :
1 8 8  
Finals :
1 10 10  
Workload Hour (30) :
30  
Total Work Charge / Hour :
0  
Course's ECTS Credit :
0      
Assessment Methods and Criteria
Studies During Halfterm :
Number Co-Effient
Visa :
1 80
Quiz :
0 0
Homework :
1 20
Attendance :
0 0
Application :
0 0
Lab :
0 0
Project :
0 0
Workshop :
0 0
Seminary :
0 0
Field study :
0 0
   
TOTAL :
100
The ratio of the term to success :
40
The ratio of final to success :
60
TOTAL :
100
Weekly Detailed Course Content
Week Topics  
1 Programming Languages
 
2 Introduction to Phyton
 
3 Phyton control structures
 
4 Phyton string and file operations
 
5 Database
 
6 Meta data
 
7 Introduction to R
 
8 R control structures
 
9 R-rmd
 
10 Visualization
 
11 Visualization with 1 dimension datasets
 
12 Visualization with 2 and 3 dimension datasets
 
13 Visualization with time series
 
14 Evaluation
 
0
 
0
 
0
 
0
 
0
 
0
 
0
 
0
 
0
 
0
 
0
 
0
 
0
 
0
 
0
 
0
 
0
 
0
 
0
 
0
 
0