Description of Individual Course Units
|
Offered By |
Graduate School of Natural and Applied Sciences |
Level of Course Unit |
Second Cycle Programmes (Master's Degree) |
Course Coordinator |
ASSOCIATE PROFESSOR EMEL KURUOĞLU KANDEMIR |
Offered to |
Computer Science |
Course Objective |
This course aims to provide the students with an overview of the R programming and data management for science. It also aims to managing data frames, analyzing data, simulating data and structures and profiling R codes. |
Learning Outcomes of the Course Unit |
||||||||||
|
Mode of Delivery |
Face -to- Face |
Prerequisites and Co-requisites |
None |
Recomended Optional Programme Components |
None |
Course Contents |
|||||||||||||||||||||||||||||||||||||||||||||
|
Recomended or Required Reading |
Textbook(s): Roger D. Peng, R Programming for Data Science, Wiley, 2014-2015. |
Planned Learning Activities and Teaching Methods |
The course is taught in a lecture, class presentation and discussion format. Besides the taught lecture, group presentations are to be prepared by the groups assigned and presented in a discussion session. In some weeks of the course, results of the homework given previously are discussed. |
Assessment Methods |
||||||||||||||||||||||||||||
|
Further Notes About Assessment Methods |
None |
Assessment Criteria |
To be announced. |
Language of Instruction |
Turkish |
Course Policies and Rules |
To be announced. |
Contact Details for the Lecturer(s) |
emel.kuruoglu@deu.edu.tr |
Office Hours |
Will be announced |
Work Placement(s) |
None |
Workload Calculation |
||||||||||||||||||||||||||||||||||||||||
|
Contribution of Learning Outcomes to Programme Outcomes |
||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|