Week |
Subject |
Related Preparation |
1) |
Data mining and decision support systems - Clinical data profiling in cancer
Designing statistical and machine learning models in oncology clinical practice, constructing cancer artificial intelligence nodes |
Data mining and decision support systems - Clinical data profiling in cancer
Designing statistical and machine learning models in oncology clinical practice, constructing cancer artificial intelligence nodes |
1) |
Data mining and decision support systems - Clinical data profiling in cancer
Designing statistical and machine learning models in oncology clinical practice, constructing cancer artificial intelligence nodes |
Data mining and decision support systems - Clinical data profiling in cancer
Designing statistical and machine learning models in oncology clinical practice, constructing cancer artificial intelligence nodes |
1) |
Data mining and decision support systems - Clinical data profiling in cancer
Designing statistical and machine learning models in oncology clinical practice, constructing cancer artificial intelligence nodes |
Data mining and decision support systems - Clinical data profiling in cancer
Designing statistical and machine learning models in oncology clinical practice, constructing cancer artificial intelligence nodes |
1) |
Data mining and decision support systems - Clinical data profiling in cancer
Designing statistical and machine learning models in oncology clinical practice, constructing cancer artificial intelligence nodes |
Data mining and decision support systems - Clinical data profiling in cancer
Designing statistical and machine learning models in oncology clinical practice, constructing cancer artificial intelligence nodes |
1) |
Data mining and decision support systems - Clinical data profiling in cancer
Designing statistical and machine learning models in oncology clinical practice, constructing cancer artificial intelligence nodes |
Data mining and decision support systems - Clinical data profiling in cancer
Designing statistical and machine learning models in oncology clinical practice, constructing cancer artificial intelligence nodes |
1) |
Data mining and decision support systems - Clinical data profiling in cancer
Designing statistical and machine learning models in oncology clinical practice, constructing cancer artificial intelligence nodes |
Data mining and decision support systems - Clinical data profiling in cancer
Designing statistical and machine learning models in oncology clinical practice, constructing cancer artificial intelligence nodes |
1) |
Data mining and decision support systems - Clinical data profiling in cancer
Designing statistical and machine learning models in oncology clinical practice, constructing cancer artificial intelligence nodes |
Data mining and decision support systems - Clinical data profiling in cancer
Designing statistical and machine learning models in oncology clinical practice, constructing cancer artificial intelligence nodes |
1) |
Data mining and decision support systems - Clinical data profiling in cancer
Designing statistical and machine learning models in oncology clinical practice, constructing cancer artificial intelligence nodes |
Data mining and decision support systems - Clinical data profiling in cancer
Designing statistical and machine learning models in oncology clinical practice, constructing cancer artificial intelligence nodes |
1) |
Data mining and decision support systems - Clinical data profiling in cancer
Designing statistical and machine learning models in oncology clinical practice, constructing cancer artificial intelligence nodes |
Data mining and decision support systems - Clinical data profiling in cancer
Designing statistical and machine learning models in oncology clinical practice, constructing cancer artificial intelligence nodes |
1) |
Data mining and decision support systems - Clinical data profiling in cancer
Designing statistical and machine learning models in oncology clinical practice, constructing cancer artificial intelligence nodes |
Data mining and decision support systems - Clinical data profiling in cancer
Designing statistical and machine learning models in oncology clinical practice, constructing cancer artificial intelligence nodes |
1) |
Data mining and decision support systems - Clinical data profiling in cancer
Designing statistical and machine learning models in oncology clinical practice, constructing cancer artificial intelligence nodes |
Data mining and decision support systems - Clinical data profiling in cancer
Designing statistical and machine learning models in oncology clinical practice, constructing cancer artificial intelligence nodes |
1) |
Data mining and decision support systems - Clinical data profiling in cancer
Designing statistical and machine learning models in oncology clinical practice, constructing cancer artificial intelligence nodes |
Data mining and decision support systems - Clinical data profiling in cancer
Designing statistical and machine learning models in oncology clinical practice, constructing cancer artificial intelligence nodes |
|
Program Outcomes |
Level of Contribution |
1) |
To be able to define, evaluate and use current and advanced knowledge of cancer and molecular cancer |
|
2) |
To be able to research, comprehend and analyze a scientific and technological issue in the field of molecular cancer with a systematic approach. |
|
3) |
Ability to develop, design, adapt and implement new and complex ideas about the molecular mechanisms of cancer at an expert level with original thinking and/or research |
|
4) |
To be able to comprehend the interdisciplinary interaction with which the molecular cancer field is related, to develop a new method, design and/or application with a new idea or a known idea. |
|
5) |
To gain the ability to synthesize, analyze, interpret, question and criticize information about treatment approaches developed against cancer |
|
6) |
Tp develop new ideas and methods in the field by using high-level skills such as problem solving and decision making in their studies. |
|
7) |
To have good communication skills in their work and being able to critically examine and develop the norms that guide these relationships, and to manage actions to change them when necessary |
|
8) |
To have an awareness of ethical responsibility in their research and to be able to defend their findings by using advanced written, verbal and visual communication. |
|
9) |
To contribute to the solution of social, scientific, computational and ethical problems encountered in the field of molecular cancer and to support the development of these values. |
|
10) |
To be able to interpret research and study results and expand the limits of knowledge in the field by producing an original work. |
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