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Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS ISL 4053 QUANTITATIVE DATA ORIENTED APPLICATIONS IN BUSINESSES ELECTIVE 3 0 0 5

Offered By

Business Administration

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

PROFESSOR DOCTOR ALI ÖZDEMIR

Offered to

Business Administration Business Administration (Evening)

Course Objective

Evaluation of quantitative data in the public and private sectors and to gain students the ability to interpret numerical outputs.

Learning Outcomes of the Course Unit

1   Ability to analyze data 2   Knowledge of current business practices 3   Ability to interpret quantitative outputs

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description 1 Introduction to quantitative data-driven applications 2 Quantitative data collection in businesses 3 Design of quantitative data 4 Time series and forecasting applications with quantitative data 5 Summarizing quantitative data as tables and graphics 6 Simple indices 7 TUIK Data: descriptiveanalysis 8 TUIK Data: interpretive analysis 9 Compound indices 10 Economic analysis with TUIK data 11 Sector analysis with TUIK data-1 12 Sector analysis with TUIK data-2 13 Sector analysis with TUIK data-3 14 Sector analysis with TUIK data-4

Recomended or Required Reading

Özdemir, A., Yönetim Biliminde Ileri Araştırma Yöntemleri ve Uygulamalar, Beta Tütek, H. vd., Sayısal Yöntemlerde Problem Çözümleri ve Bilgisayar Destekli Uygulamalar, Beta

Planned Learning Activities and Teaching Methods

Theoretical lectures, student presentations and evaluation of industry data

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA 1 STT TERM WORK (SEMESTER) 2 MTE MIDTERM EXAM 3 MTEG MIDTERM GRADE STT * 0.50 +MTE * 0.50 4 FIN FINAL EXAM 5 FCG FINAL COURSE GRADE MTEG * 0.40 + FIN * 0.60 6 RST RESIT 7 FCGR FINAL COURSE GRADE (RESIT) MTEG * 0.40 + RST * 0.60

Further Notes About Assessment Methods

None

Assessment Criteria

It will 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 14 3 42 Preparations before/after weekly lectures 14 3 42 Preparation for midterm exam 1 5 5 Preparation for final exam 1 10 10 Preparing assignments 1 20 20 Preparing presentations 1 5 5 Midterm 1 1 1 Final 1 1 1 TOTAL WORKLOAD (hours) 126

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 PO.12 PO.13 PO.14 PO.15 LO.1 1 1 1 LO.2 1 1 1 LO.3 1 1