TÜRKÇE
ENGLISH
Information
| Code | FK698 |
| Name | Statistics for Nuclear and Particle Physicits II |
| Term | 2023-2024 Academic Year |
| Term | Spring |
| 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. AYSEL KAYIŞ TOPAKSU |
| Course Instructor |
1 |
Course Goal / Objective
Learn the statistical methods for particle physics
Course Content
Bayesian theorem, Unfolding methods, Maximum Likelihood Theorem, Monte Carlo calculations, Confidence level and significance
Course Precondition
None
Resources
Statistics for Nuclear and Particle Physicists, L. Lyons
Notes
Statistics in Particle Physics, Lorenzo Bianchini
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Learn the fitting methods |
| LO02 | Learn the hypothesis test |
| LO03 | Learn the Monte Carlo techniques |
| LO04 | Learn the confidence level and significance |
Relation with Program Learning Outcome
| Order | Type | Program Learning Outcomes | Level |
|---|---|---|---|
| PLO01 | Bilgi - Kuramsal, Olgusal | Has sufficient infrastructure in various subjects of Physics. | 2 |
| PLO02 | Bilgi - Kuramsal, Olgusal | Demonstrate the knowledge of appropriate mathematical techniques used in physics. | 4 |
| PLO03 | Bilgi - Kuramsal, Olgusal | Interpret observational and experimental results. | 4 |
| PLO04 | Bilgi - Kuramsal, Olgusal | Makes use of the conceptual and practical knowledge acquired in the physics field at mastery level. | 3 |
| PLO05 | Bilgi - Kuramsal, Olgusal | Has a knowledge about the logic of scientific research. | 3 |
| 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. | 3 |
| PLO08 | Bilgi - Kuramsal, Olgusal | Accesses a knowledge about a subject in physics, does literature search and uses other sources for this purpose. | 2 |
| PLO09 | Bilgi - Kuramsal, Olgusal | Provides solutions to the problems encountered in the physics field applying research methods. | 2 |
| 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. | |
| 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. | 2 |
| 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. | 4 |
| PLO15 | Bilgi - Kuramsal, Olgusal | Can make an effective written or oral presentation of the results obtained in a study. | 3 |
| PLO16 | Bilgi - Kuramsal, Olgusal | Makes use of the knowledge, problem solving and / or application skills acquired in the physics field in interdisciplinary studies. | 3 |
| PLO17 | Bilgi - Kuramsal, Olgusal | Has a foundation necessary to work in a research and development organizations. | 3 |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Review of the first semestr | Not required | |
| 2 | Moments | Read the related chapter in the book | |
| 3 | Introduction to Maximum Likelihood Method | Read the related chapter in the book | |
| 4 | Maximum Likelihood Method for Two-Variables Datasets | Read the related chapter in the book | |
| 5 | Least Squares Method | Read the related chapter in the book | |
| 6 | Least Squares Method II | Read the related chapter in the book | |
| 7 | Exercises | review of what have been done | |
| 8 | Mid-Term Exam | Study for the exam | |
| 9 | Hypothesis test | Read the related chapter in the book | |
| 10 | Hypothesis test II | Read the related chapter in the book | |
| 11 | Monte Carlo Techniques | Read the related chapter in the book | |
| 12 | Application to Monte Carlo Techniques | Read the related chapter in the book | |
| 13 | Confidence levels | Read the related chapter in the book | |
| 14 | Significance | Read the related chapter in the book | |
| 15 | Review | review of what have been done | |
| 16 | Term Exams | Study for the exam | |
| 17 | Term Exams | Study for the exam |
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 | ||