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Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS EMT 2005 COMPUTER PROGRAMMING COMPULSORY 3 0 0 4

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 the course is to provide students with basic programming language and algorithms knowledge, as well as enabling them to solve basic problems using a programming language.

Learning Outcomes of the Course Unit

1   To be able to explain basic programming logic 2   To be able to identify different kind of programming types and languages 3   To be able to explain fundamental principles of at least one programming language 4   To be able to comprehend programming logic 5   To be able to comprehend algorithm creation logic 6   To be able to create flow charts

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description 1 Data, knowledge, discussion of gained knowledge term 2 Basic terms 3 Computer programming logic 4 Introduction to algorithms 5 Examples of algorithm applications 6 Flow charts 7 Programming and coding-Python 8 Mid-term exam 9 Mid-term exam 10 Python data types 11 Python programming-1 12 Python programming-2 13 Python programming-3 14 Python applications

Recomended or Required Reading

1- Programming Logic, Köseoğlu.

Planned Learning Activities and Teaching Methods

Teaching,Question-Answer,Discussion,Problem solving

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

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 12 3 36 Preparations before/after weekly lectures 10 1 10 Preparation for midterm exam 1 20 20 Preparation for final exam 1 30 30 Preparing assignments 1 10 10 Preparing presentations 1 2 2 Final 1 1 1 Midterm 1 1 1 TOTAL WORKLOAD (hours) 110

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 LO.6 1