COURSE UNIT TITLE

: DATA VISUALIZATION AND REPORTING TECHNIQUES

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
YBS 7032 DATA VISUALIZATION AND REPORTING TECHNIQUES ELECTIVE 3 0 0 7

Offered By

MANAGEMENT INFORMATION SYSTEM NON-THESIS (EVENING)

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

Offered to

MANAGEMENT INFORMATION SYSTEM NON-THESIS (EVENING)

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 I
5 Exploratory data analysis II
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 I
13 Matrix visualization II
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

Detailed description is given below and in "Workload computation section".

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

Students will solve two software assignments indvidually. They will undergo two exams, one mid-term and one final, which consist of open-ended and programming sessions.

Language of Instruction

Turkish

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

Assist. Prof. Dr. Mehmet Güven Koçak
DEÜ Dokuzçeşmeler Kampüsü
Yönetim Bilişim Sistemleri Bölümü
Buca 35400 Izmir
e-mail: guven.kocak at deu.edu.tr
Phone: 0 232 301 0760

Office Hours

On the very day of the course: 0900-1700

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 13 3 39
Preparations before/after weekly lectures 13 5 65
Preparation for midterm exam 1 4 4
Preparation for quiz etc. 2 12 24
Preparing presentations 1 24 24
Preparation for final exam 1 8 8
Midterm 1 3 3
Final 1 3 3
TOTAL WORKLOAD (hours) 170

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11
LO.155555434333
LO.255544434333
LO.333535544333
LO.455555544333
LO.555555544333