FK527 Data Analyzing Methods in High Energy Physics I

6 ECTS - 3-0 Duration (T+A)- . Semester- 3 National Credit
Information About Course

Information
Goal, Content & Resources
Course Learning Outcomes
Relation with Program Learning Outcome
Week Plan
Student Workload - ECTS

Information

Code FK527
Name Data Analyzing Methods in High Energy Physics I
Semester . Semester
Duration (T+A) 3-0 (T-A) (17 Week)
ECTS 6 ECTS
National Credit 3 National Credit
Teaching Language Türkçe
Level Yüksek Lisans Dersi
Type Normal
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Prof. Dr. AYŞE POLATÖZ


Course Goal

To provide learning of packet programs and data analysis techniques used in experimental High Energy Physics.

Course Content

Probability distributions, error estimation, ROOT, PHYTIA, GEANT Applications

Course Precondition

none

Resources

Experimental Measurements: Precision, Error and Truth., N.C Barford, İmperial College, London., ISBN 0 471 90702 2, John Wiley and Sons

Notes

Techniques for Nuclear and particle Physics Experiments, William R. Leo, ISBN 3-57280-5


Course Learning Outcomes

Order Course Learning Outcomes
LO01 explain basic concepts in high energy physics
LO02 use packet programs used in experimental High Energy Physics.
LO03 understand analysis techniques
LO04 use Geant packet program
LO05 use ROOT and PHYTIA


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 Bilgi - Kuramsal, Olgusal Has sufficient infrastructure in various subjects of Physics. 3
PLO02 Bilgi - Kuramsal, Olgusal Demonstrate the knowledge of appropriate mathematical techniques used in physics. 3
PLO03 Bilgi - Kuramsal, Olgusal Interpret observational and experimental results. 3
PLO04 Bilgi - Kuramsal, Olgusal Makes use of the conceptual and practical knowledge acquired in the physics field at mastery level. 2
PLO05 Bilgi - Kuramsal, Olgusal Has a knowledge about the logic of scientific research. 4
PLO06 Bilgi - Kuramsal, Olgusal Report the solution of a physics problem, experimental results or projects in a written format or orally. 3
PLO07 Bilgi - Kuramsal, Olgusal Chooses and uses the necessary publications, books and methods for a scientific research. 2
PLO08 Bilgi - Kuramsal, Olgusal Accesses a knowledge about a subject in physics, does literature search and uses other sources for this purpose. 3
PLO09 Bilgi - Kuramsal, Olgusal Provides solutions to the problems encountered in the physics field applying research methods. 3
PLO10 Bilgi - Kuramsal, Olgusal Can perform an independent research. 3
PLO11 Bilgi - Kuramsal, Olgusal Can perform group work effectively in a research or industrial projects. 2
PLO12 Bilgi - Kuramsal, Olgusal Becomes conscious of the necessity of lifelong learning.
PLO13 Bilgi - Kuramsal, Olgusal To keep track of the developments in physics and updates himself/herself invariably. 1
PLO14 Bilgi - Kuramsal, Olgusal Shares his/her ideas and suggestions for solutions to the physical problems with experts and non-experts by supporting them with quantitative and qualitative data. 2
PLO15 Bilgi - Kuramsal, Olgusal Can make an effective written or oral presentation of the results obtained in a study. 2
PLO16 Bilgi - Kuramsal, Olgusal Makes use of the knowledge, problem solving and / or application skills acquired in the physics field in interdisciplinary studies. 2
PLO17 Bilgi - Kuramsal, Olgusal Has a foundation necessary to work in a research and development organizations. 2


Week Plan

Week Topic Preparation Methods
1 Basic Term, Probability, probability distributions, histogram, frequency distributions, average value, standard deviation. read related topics in the book Öğretim Yöntemleri:
Anlatım, Soru-Cevap
2 Error estimation: Random and systematic errors, permutation and combination. read related topics in the book Öğretim Yöntemleri:
Anlatım, Soru-Cevap
3 Error estimation: Binom, Gaussian and Poisson distributions. read related topics in the book Öğretim Yöntemleri:
Anlatım, Soru-Cevap
4 Problem solving Homework Öğretim Yöntemleri:
Bireysel Çalışma, Problem Çözme
5 The packet programs used in data analysis-1:introduction to ROOT Research the related topic Öğretim Yöntemleri:
Alıştırma ve Uygulama, Bireysel Çalışma
6 The packet programs used in data analysis-1: ROOT- continue Research the related topic Öğretim Yöntemleri:
Alıştırma ve Uygulama, Bireysel Çalışma
7 The packet programs used in data analysis-1: ROOT applications Research the related topic Öğretim Yöntemleri:
Bireysel Çalışma
8 Mid-Term Exam Öğretim Yöntemleri:
Bireysel Çalışma, Problem Çözme
9 The packet programs used in data analysis-2: usage of PHYTIA Research the related topic Öğretim Yöntemleri:
Alıştırma ve Uygulama, Bireysel Çalışma
10 The packet programs used in data analysis-2: PHYTIA applications Research the related topic Öğretim Yöntemleri:
Alıştırma ve Uygulama, Bireysel Çalışma
11 The packet programs used in data analysis-2: PHYTIA applications-continue Research the related topic Öğretim Yöntemleri:
Bireysel Çalışma, Alıştırma ve Uygulama
12 TThe packet programs used in data analysis-3:İntroduction to GEANT Research the related topic Öğretim Yöntemleri:
Alıştırma ve Uygulama
13 The packet programs used in data analysis-3: GEANT-continue Research the related topic Öğretim Yöntemleri:
Alıştırma ve Uygulama, Bireysel Çalışma
14 The packet programs used in data analysis-3: GEANT applications Research the related topic Öğretim Yöntemleri:
Alıştırma ve Uygulama, Grup Çalışması
15 Problem solving-2 Homework Öğretim Yöntemleri:
Bireysel Çalışma, Problem Çözme
16 Term Exams Öğretim Yöntemleri:
Bireysel Çalışma, Problem Çözme
17 Term Exams Öğretim Yöntemleri:
Bireysel Çalışma, Problem Çözme


Student Workload - ECTS

Works Number Time (Hour) Workload (Hour)
Course Related Works
Class Time (Exam weeks are excluded) 14 3 42
Out of Class Study (Preliminary Work, Practice) 14 5 70
Assesment Related Works
Homeworks, Projects, Others 0 0 0
Mid-term Exams (Written, Oral, etc.) 1 15 15
Final Exam 1 30 30
Total Workload (Hour) 157
Total Workload / 25 (h) 6,28
ECTS 6 ECTS