A.1 | Introduce the student to R software as open source. |
A.2 | The student should understand the use of software in the right ways. |
A.3 | The importance of R software for the student in data analysis. |
A.4 | The student should know how to write simple software and export its results to other software. |
In. 2- Mental skills .
B.1 | Ability to use software to display and describe data. |
B.2 | Ability to import data from other software such as SPSS, Excel, SQL, and others. |
B.3 | The ability to use some statistical libraries and call them to implement analytical programs. |
B.4 | Ability to write simple data analysis programs. |
c. 3- Practical and professional skills .
C.1 | The student should acquire the ability to use the computer and its software in the field of statistics. |
C.2 | The student should acquire the ability to use the R software |
C.3 | The student should acquire the skill of data analysis with R software. |
C.4 | The student should learn the skill of interpreting the results of data analytics and scientific research. |
W. 4- General and transferred skills .
D.1 | Ability to communicate with colleagues through the use of software |
D.2 | Ability to work as a team in solving and programming some statistical problems. |
D.3 | The ability to employ software skill according to the requirements of the labor market. Software skill according to the requirements of the labor market. |
Teaching and learning methods
1- Lectures "practical + theoretical + field training)
2- Work as groups and then discuss worksheets.
Methods of assessments
(Assessment table)
Rating No. | Evaluation methods | Evaluation Duration | Evaluation weight | Percentage | Rating Date (Week) | Reviews |
First Assessment | First exam | 2 | 25 | 25% | Sixth week |
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Second Assessment | Second exam | 2 | 25 | 25% | Twelfth week |
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Final Evaluation | Final Exam | 2 | 50 | 50% | Commitment to the final schedule |
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Total | 100 degree | 100% |
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(References )
Bibliography | Publisher | Version | Author | Where it is located |
Rapporteur notes |
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| Don Edwards | Can be downloaded from Google |
Textbooks |
| Basics of R | Don Edwards | Download from libraries |
Help Books | Basics of R: A Primer |
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Scientific Journals | ||||
Internet Sites | ||||
Other |
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3. Course contents)
Scientific topic | Number of Hours | Lecture | laboratory | Exercises | discussion | Number of weeks |
Definition of statistical software R | 4 | 2 | 2 |
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| 1 |
Define libraries in R software | 8 | 4 | 4 |
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| 2 |
Data Graph | 8 | 4 | 2 | 2 |
| 2 |
Request data from other software | 8 | 4 | 2 | 2 |
| 2 |
Call libraries for proper statistical analysis | 12 | 6 | 3 | 3 |
| 3 |
Write some simple analytical programs | 12 | 6 | 4 | 2 |
| 3 |
Transfer results to other programs | 4 | 2 |
| 2 |
| 1 |