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Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS IND 3967 STATISTICAL ANALYSIS WITH SOFTWARE ELECTIVE 3 0 0 5

Offered By

Industrial Engineering

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

ASSISTANT PROFESSOR ŞEBNEM DEMIRKOL AKYOL

Offered to

Industrial Engineering

Course Objective

The aim of this course is to introduce students to free statistical software programs such as R and to gain the ability to perform statistical analysis using the software.

Learning Outcomes of the Course Unit

1   1. Being able to define the general structure of programming with the R language 2   2. Ability to perform operations using data types such as vector, matrix, dataframe in R 3   3. Ability to use loop and control statements in R 4   4. Ability to perform data manipulation operations in R 5   5. Ability to make statistical analyzes and report it with team work

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description 1 Introduction to programming with R 2 R environment and basic operators 3 Data types: vectors, matrices 4 Data types: dataframes, lists and tibbles 5 Categorical variables 6 Functions 7 Loop and control statements 8 Data manipulation 9 Grouping and summarizing data 10 Comparison of population parameters: Confidence interval 11 Comparison of population parameters: Hypothesis testing 12 Project presentations-1 13 Project presentations-2 14 Project presentations-3

Recomended or Required Reading

YILMAZ, Ö.Ü.A., & YAYIN, K. (2021). R Programlamaya Giriş. KODLAB Yayın Dağıtım Yazılım LTD. ŞTI. ÖZKAN, B. & ÖZKAN, Y. (2017) R ile Programlama, Papatya Yayıncılık Eğitim. ARSLAN, I. (2015). R ile istatistiksel programlama. Pusula Yayıncılık.

Planned Learning Activities and Teaching Methods

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA 1 MTE MIDTERM EXAM 2 PRJ PROJECT 3 FIN FINAL EXAM 4 FCG FINAL COURSE GRADE MTE * 0.25 + PRJ * 0.25 + FIN * 0.50 5 RST RESIT 6 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.25 + PRJ * 0.25 + RST * 0.50

Further Notes About Assessment Methods

None

Assessment Criteria

Midterm (25%) + Project (25%) + Final (50%)

Language of Instruction

English

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

sebnem.demirkol@deu.edu.tr

Office Hours

Office hours will be declared.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours) Lectures 14 3 42 Preparations before/after weekly lectures 14 2 28 Preparation for midterm exam 1 12 12 Preparation for final exam 1 12 12 Preparing assignments 1 4 4 Preparing presentations 14 2 28 Final 1 1 1 Midterm 1 1 1 TOTAL WORKLOAD (hours) 128

Contribution of Learning Outcomes to Programme Outcomes

PO/LO PO.1 PO.2 PO.3 PO.4 PO.5 PO.6 PO.7 PO.8 PO.9 PO.10 PO.11 LO.1 2 5 LO.2 2 5 LO.3 2 5 LO.4 2 5 LO.5 2 3