| Week |
Subject |
Related Preparation |
| 1) |
Introduction to R programming language |
|
| 2) |
Data structures in R and data entry |
|
| 3) |
Various mathematical and statistical operations using vectors, matrices and data frames |
|
| 4) |
Graphs in R |
|
| 5) |
Random number generations from various probability distributions |
|
| 6) |
Solutions of various probability problems in R |
|
| 7) |
Contingency tables |
|
| 8) |
Midterm exam |
|
| 9) |
Hypothesis testing with one sample |
|
| 10) |
Hypothesis testing with two samples |
|
| 11) |
One way analysis of variance |
|
| 12) |
Two way analysis of variance |
|
| 13) |
Linear regression analysis |
|
| 14) |
Time series analysis |
|
| 15) |
Final Exam |
|
| Course Notes / Textbooks: |
1. İstatistikte R ile programlama, 2014, Necmi Gürsakal, Dora Yayıncılık 2. A Tiny Handbook of R, Mike Allerhand, 2011, Springer-Verlag. |
| References: |
1. İstatistikte R ile programlama, 2014, Necmi Gürsakal, Dora Yayıncılık 2. A Tiny Handbook of R, Mike Allerhand, 2011, Springer-Verlag. |
| |
Program Outcomes |
Level of Contribution |
| 1) |
Adequate knowledge in mathematics, science, and related engineering discipline; ability to use theoretical and practical knowledge in these areas in complex engineering problems. |
|
| 2) |
An ability to detect, identify, formulate, and solve complex engineering problems; the ability to select and apply appropriate analysis and modelling methods for this purpose. |
|
| 3) |
An ability to design a complex system, process, device, or product to meet specific requirements under realistic constraints and conditions; the ability to apply modern design methods for this purpose. |
|
| 4) |
An ability to develop, select and use modern techniques and tools necessary for the analysis and solution of complex problems in engineering applications. |
|
| 5) |
An ability to use information technologies effectively. |
|
| 6) |
Ability to design, conduct experiments, collect data, analyse, and interpret results to investigate complex engineering problems or discipline-specific research topics. |
|
| 7) |
Ability to work effectively in disciplinary and multidisciplinary teams; ability to work individually. |
|
| 8) |
Ability to communicate effectively in oral and written Turkish. |
|
| 9) |
Knowledge of at least one foreign language. |
|
| 10) |
Ability to write effective reports and understand written reports, to prepare design and production reports, to make effective presentations, to give clear and understandable instructions. |
|
| 11) |
Awareness of the necessity of lifelong learning; ability to access information, follow developments in science and technology and ability to renew themselves. |
|
Istanbul Health and Technology University INFORMATION PACKAGE / COURSE CATALOGUE