COURSE UNIT TITLE

: DATA ANALYSIS IN PHYSICS **,++

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
FIZ 3112 DATA ANALYSIS IN PHYSICS **,++ ELECTIVE 2 2 0 7

Offered By

Physics

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

PROFESSOR MUHAMMED DENIZ

Offered to

Physics

Course Objective

Learn how to do experimental data analysis, learn the concept of experimental error and
how to do fitting to the distributions to measure the physical quantities, learn data
analysis programs and techniques which is generally used in 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 Fortran and C
3   Learning data analysis techniques
4   Learning basic concept of error analysis
5   Learning Vector/Histogram/Ntuple structure
6   Learning how to apply cuts and selection rules to the data
7   Ability to interpret the scientific data

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Basic Unix Commands and general overview of Linux Operating system - I
2 Basic Unix Commands and general overview of Linux Operating system - II
3 General overview of PAW and basic principles, Vectors - Tutorial and examples
4 Vector arithmetic operations w/o Sigma Operations
5 Histograms - Tutorial and examples
6 Histogram Operations
7 Fitting the contents of vectors and Histograms
8 MIDTERM
9 Functions in PAW
10 HBOOK
11 Ntuples - Tutorial and examples
12 Ntuple Operations
13 Ntuple cut definition
14 Ntuple drawing

Recomended or Required Reading

Textbook(s):
1. PAW CERN Programs Tutorial Book
2. ROOT CERN Programs Tutorial Book
3. Introduction to Command Line, The Fat-Free guide to Unix and Linux Commands, Nicholas Marsh

Supplementary Book(s):

1. Gerhard Bohm, Günter Zech (2010), Introduction to Statistics and Data Analysis for Physicists, Wiley, New York.
2. Les Kirkup (2002). Data Analysis with Excel: An Introduction for Physical Scientist, Cambridge University Press, London.

Materials: http://paw.web.cern.ch/paw/

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 MIDTERM EXAM
2 ASG ASSIGNMENT
3 FIN FINAL EXAM
4 FCG FINAL COURSE GRADE MTE * 0.40 + ASG * 0.10 + FIN * 0.50
5 RST RESIT
6 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.40 + ASG * 0.10 + RST * 0.50


Further Notes About Assessment Methods

None

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

Turkish

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.
4. Faculty reserves the right to make practical exam. This exam will be taken from the notes will be added to the midterm and final exam grades.

Contact Details for the Lecturer(s)

muhammed.deniz@deu.edu.tr

Office Hours

Wednesday at 13: 00 - 15: 00

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 13 4 52
Preparation for midterm exam 1 5 5
Preparation for final exam 1 5 5
Preparing assignments 13 4 52
Preparations before/after weekly lectures 13 5 65
Final 1 3 3
Midterm 1 3 3
TOTAL WORKLOAD (hours) 185

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11PO.12
LO.1225555455544
LO.2225554434354
LO.3235554434554
LO.4555554434554
LO.5335554434554
LO.6555554434554
LO.7555554434554