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Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS YBS 5022 DATA VISUALIZATION AND REPORTING TECHNIQUES ELECTIVE 3 0 0 6

Offered By

Management Information Systems

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

ASISTANT PROFESSOR MEHMET GÜVEN KOÇAK

Offered to

Management Information Systems

Course Objective

The course objective is to develop students ability to design and select methods for data and information visualization aiming to convey message to different target groups.

Learning Outcomes of the Course Unit

1   To be able to discriminate among different data types 2   To be able to define the visualization aim 3   To be able to design for target group 4   To be able to select most appropriate method for visualization 5   To be able to produce visual material

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description 1 Introduction and history 2 Effective visualization 3 Multidimensional data visualization 4 Exploratory data analysis 5 Exploratory data analysis 6 Visualization trees 7 Mid-term exam 8 Kernel density method 9 Regression 10 Smoothing techniques 11 Cluster analysis and finite mixture models 12 Matrix visualization 13 Text visualization 14 Animation

Recomended or Required Reading

Chen, C., Härdle W., and Unwin, A. (Eds), Handbook of Data Visualization, Springer, 2008.

Planned Learning Activities and Teaching Methods

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 * 0.20 + STT* 0.40 + FIN* 0.40 5 RST RESIT 6 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.20 + STT * 0.40 + RST* 0.40 *** Resit Exam is Not Administered in Institutions Where Resit is not Applicable.

Further Notes About Assessment Methods

None

Assessment Criteria

Student assessment will be based on a mid-term exam, a response paper, a worked-out project, and a final exam where they demonstrate their experience gained during the semester to a given problem.

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 Preparation for midterm exam 1 4 4 Preparation for final exam 1 4 4 Preparation for quiz etc. 2 6 12 Preparing presentations 1 12 12 Preparations before/after weekly lectures 13 5 65 Final 1 3 3 Midterm 1 3 3 TOTAL WORKLOAD (hours) 142

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