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Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS EMT 2014 STATISTICAL ROGRAMMING COMPULSORY 3 0 0 5

Offered By

Econometrics

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

PROFESSOR DOCTOR IPEK DEVECI KOCAKOÇ

Offered to

Econometrics (Evening) Econometrics

Course Objective

The aim of this course is to make the student write code by using R and MATLAB programming languages in a way that dominates these languages.

Learning Outcomes of the Course Unit

1   To be able to write code for data analysis by using R and MATLAB. 2   To be able to connect to databases by using R and MATLAB 3   To be able to use loops and functions in codes. 4   To be able to visualize data by using R and MATLAB 5   To be able to create and use packages in R program.

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description 1 1 R - Installation and storing data 2 2 R - Operations and functions 3 3 R - Building matrices 4 4 R - Constracting data frames 5 5 R - Loops 6 6 R - Producing plots 7 7 R - Package creation, connecting to databases 8 8 Mid-Term 9 9 Mid-Term 10 10 MATLAB - Installation and storing data 11 11 MATLAB - Operations and functions 12 12 MATLAB - Loops 13 13 MATLAB - Producing plots 14 14 MATLAB - Connecting to databases

Recomended or Required Reading

Satman, M. H. (2018) R ile Programlama, Türkmen Kitabevi, Istanbul. Deveci Kocakoç, I. (2007) MATLAB ve Istatistiksel Veri Analizi, Nobel, Ankara.

Planned Learning Activities and Teaching Methods

This course will be presented using class lectures, class discussions, overhead projections, and demonstrations.

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA 1 MTE MIDTERM EXAM 2 MTEG MIDTERM GRADE MTEG * 1 3 FIN FINAL EXAM 4 FCGR FINAL COURSE GRADE MTEG * 0.40 + FIN * 0.60 5 RST RESIT 6 FCGR FINAL COURSE GRADE (RESIT) MTEG * 0.40 + RST * 0.60 *** Resit Exam is Not Administered in Institutions Where Resit is not Applicable.

Further Notes About Assessment Methods

None

Assessment Criteria

To be announced.

Language of Instruction

Turkish

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

Prof.Dr.Ipek Deveci Kocakoç ipek.deveci@deu.edu.tr

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours) Lectures 12 3 36 Make a plan 12 3 36 Preparation for midterm exam 1 17 17 Preparation for final exam 1 24 24 Midterm 1 1 1 Final 1 1 1 TOTAL WORKLOAD (hours) 115

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 LO.1 1 LO.2 1 LO.3 1 LO.4 1 LO.5 1