COURSE UNIT TITLE

: DATA ANALYSIS TECHNIQUES FOR HIGH ENERGY PHYSICS-II

DEGREE PROGRAMMES

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
PHY 5174 DATA ANALYSIS TECHNIQUES FOR HIGH ENERGY PHYSICS-II ELECTIVE 3 0 0 8

Offered By

Graduate School of Natural and Applied Sciences

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

PROFESSOR MUHAMMED DENIZ

Offered to

PHYSICS
PHYSICS

Course Objective

Learning data analysis programs and their techniques for Particle and High Energy Physics.

Learning Outcomes of the Course Unit

1   Learning basic Unix commands and skills of how to use Linux operating system
2   Learning programming languages such as C/C++
3   Learning data analysis techniques with Object Oriented Data Analysis Framework (ROOT) package
4   Learning basic concept of error analysis
5   Learning Histogram/Tree structures
6   Learning how to apply cuts and selection rules to the data

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 General overview of ROOT and basic principles
2 Classes, Methods and Constructors
3 Operations in Canvas
4 Histogram Classes
5 Creating, Filling and Drawing of Histogram, Histogram Operations
6 MIDTERM EXAM-I
7 Graphs
8 Graphs with error bars
9 Fitting Histograms
10 MIDTERM EXAM-II
11 Trees - Tutorial and examples
12 Tree Operations
13 Tree cut definition
14 Tree drawing

Recomended or Required Reading

Textbook(s): ROOT CERN Programs Tutorial Book

References:
Materials: http://root.cern.ch/drupal/

Planned Learning Activities and Teaching Methods

1. Method of Expression
2. Question & Answer Techniques
3. Discussion
4. Homework

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 MTE 1 MIDTERM EXAM 1
2 MTE 2 MIDTERM EXAM 2
3 ASG ASSIGNMENT
4 FIN FINAL EXAM
5 FCG FINAL COURSE GRADE MTE 1 * 0.15 +MTE 2 * 0.15 +ASG * 0.20 +FIN * 0.50
6 RST RESIT
7 FCGR FINAL COURSE GRADE (RESIT) MTE 1 * 0.15 +MTE 2 * 0.15 +ASG * 0.20 +RST * 0.50


Further Notes About Assessment Methods

Attandance, homework and exams

Assessment Criteria

1. Midterm exams and assignments are taken as the achievements of students for the semester.
2. Final exam will be added to the success of the study of midterms and assignments, thereby the student's success will be determined

Language of Instruction

English

Course Policies and Rules

1. 70% of the participation of classes is mandatory.
2. Students, who do not participate in Midterm exams and not do regular assignments, are not allowed to enter the final exam.
3. Every trial of cheating will be punished according to disciplinary proceedings.

Contact Details for the Lecturer(s)

muhammed.deniz@deu.edu.tr

Office Hours

Friday at 13:00-17:00

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 12 3 36
Preparation for final exam 1 6 6
Preparations before/after weekly lectures 12 6 72
Preparing assignments 12 5 60
Preparation for midterm exam 2 6 12
Final 1 3 3
Midterm 2 3 6
TOTAL WORKLOAD (hours) 195

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10
LO.12255554555
LO.22255544343
LO.32355544345
LO.45555544345
LO.53355544345
LO.65555544345

CONTACT INFORMATION
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Phone: +90(232) 412 12 12 - Fax: +90 (232) 464 81 35

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