COURSE UNIT TITLE

: PROBABILITY AND STATISTICS

DEGREE PROGRAMMES

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
JEF 2319 PROBABILITY AND STATISTICS COMPULSORY 2 1 0 5

Offered By

Geophysical Engineering

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

ASSOCIATE PROFESSOR ELÇIN GÖK

Offered to

Geophysical Engineering

Course Objective

Inform about the basic statistical methods and applications .

Learning Outcomes of the Course Unit

1   To be able to recognize the data types and classes encountered in areas of science.
2   To be able to find the measures of central tendency of the data ( mean, mod, median, moments etc.) identifies the positions relative to each other.
3   To be able to calculate the probability of an event to result in the case of uncertainty about the formats.
4   To be able to calculate the Binomial, Poisson, Normal (Gaussian) probability distributions.
5   To be able to examine the relationship between two variables.
6   To be able to query the relationship between dependent and independent variables by regression analysis.

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Introduction, Course purpose, references
2 Data types, introduction to statistical methods
3 Averages and measurements of center, scattering around the mean value
4 Histograms and frequency distributions
5 Statistical moments
6 Probability and Introduction to Probability distributions; Principal rules and calculations
7 Factorials, permutations, combinations
8 Probability distributions
9 Probability distributions; Binom distribution and examples
10 Probability distributions; Poisson, Normal (Gauss) distributions, and examples
11 Statistical tests; Ki-Square and T-test and examples
12 Correlation analysis
13 Regression analysis
14 Statistical decision theory

Recomended or Required Reading

Textbook(s):
1. An Introduction to Statistical Learning with Applications in Python (2023)
Gareth James , Daniela Witten , Trevor Hastie , Robert Tibshirani , Jonathan Taylor
2. Modern Mathematical Statistics with Applications (2021)
Jay L. Devore , Kenneth N. Berk , Matthew A. Carlton
3. Statistical Learning from a Regression Perspective (2020)
Richard A. Berk
4. Probability with Applications in Engineering, Science, and Technology (2017)
Matthew A. Carlton , Jay L. Devore
5. Statistical Analysis and Data Display (2015)
Richard M. Heiberger , Burt Holland
6. A Modern Introduction to Probability and Statistics (2005)
Frederik Michel Dekking , Cornelis Kraaikamp , Hendrik Paul Lopuhaä , Ludolf Erwin Meester

Planned Learning Activities and Teaching Methods

Lecture, laboratory application, homework, exam.

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 * 0.20 + ASG * 0.30 + FIN * 0.50
5 RST RESIT
6 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.20 + ASG * 0.30 + RST * 0.50


Further Notes About Assessment Methods

None

Assessment Criteria


Mid-term exam: %30( LO1, LO2, LO3)
Homeworks: %20( LO3, LO4, LO5, LO6 )
Final exam: %50 ( LO2, LO3, LO4, LO5 )

Language of Instruction

Turkish

Course Policies and Rules

Participating lecture and homeworks

Contact Details for the Lecturer(s)

Dokuz Eylul University, Engineering Faculty, Department of Geophysical Engineering, Tınaztepe Campus, 35160 Buca, Izmir
elcin.gok@deu.edu.tr

Office Hours

Friday: 13:00-15:00

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 14 2 28
Tutorials 12 1 12
Preparations before/after weekly lectures 14 2 28
Preparation for midterm exam 2 3 6
Preparation for final exam 1 4 4
Preparing assignments 10 4 40
Midterm 1 2 2
Final 1 2 2
TOTAL WORKLOAD (hours) 122

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11
LO.14322
LO.243
LO.3443
LO.443
LO.54443
LO.64444

CONTACT INFORMATION
Dokuz Eylül Üniversitesi Cumhuriyet Bulvarı No: 144 35210 Alsancak / İZMİR
Phone: +90(232) 412 12 12 - Fax: +90 (232) 464 81 35

Copyright 2015 DEÜ. BİD

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