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Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS EKO 5089 NUMERICAL CALCULATIONS AND PROGRAMMING COMPULSORY 3 0 0 3

Offered By

Econometrics

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

PROFESSOR DOCTOR IPEK DEVECI KOCAKOÇ

Offered to

Econometrics

Course Objective

The aim of the course is to create the informatics and programming infrastructure that students need in courses in statistics, operations and econometrics.

Learning Outcomes of the Course Unit

1   To be able to define basic principles of programming. 2   To be able to connect to databases using R and MATLAB. 3   To be able to write codes for data analysis using R and MATLAB. 4   To be able to use loops and functions in codes. 5   To be able to visualize data using R and MATLAB.

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description 1 Introduction to R, R Studio and Matlab 2 Basics of programming 3 Loops and counters 4 Data manipulation in R 5 Matrix and data structures in R 6 Data visualization in R 7 Data analysis and optimization in R 8 Data manipulation in Matlab 9 Matrix and data structures in Matlab 10 Data visualization in Matlab 11 Toolboxes 12 Data analysis and optimization in Matlab 13 Article discussions 14 Case studies

Recomended or Required Reading

1- Mathematical Statistics, Prentice Hall, Freund, J.E. 2- Introduction to the Theory of Statistics, McGraw-Hill Book, Mood, A.M., Graybill, F.A.

Planned Learning Activities and Teaching Methods

Lecture Method, Proof Method, Discussion Method and Problem Solving Method

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA 1 MTE MIDTERM EXAM 2 STT TERM WORK (SEMESTER) 3 FIN FINAL EXAM 4 FCG FINAL COURSE GRADE MTE * 0.30 + STT * 0.30 + FIN* 0.40 5 RST RESIT 6 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.30 + STT * 0.30 + RST* 0.40 *** 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)

To be announced.

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours) Lectures 13 3 39 Preparations before/after weekly lectures 12 3 36 Preparation for midterm exam 1 15 15 Preparation for final exam 1 15 15 Midterm 1 3 3 Final 1 3 3 TOTAL WORKLOAD (hours) 111

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