ADB771 - FORENSIC DATA MINING

Course Name Code Semester Theory
(hours/week)
Application
(hours/week)
Credit ECTS
FORENSIC DATA MINING ADB771 Any Semester/Year 3 0 3 8
Prequisites
Course languageTurkish
Course typeElective 
Mode of DeliveryFace-to-Face 
Learning and teaching strategiesLecture
Discussion
Question and Answer
 
Instructor (s)Prof. Murat TESTÄ°K 
Course objectiveThe aim of this course is to teach datamining concepts and usage of forensic science. 
Learning outcomes
  1. 1. Students will be able to define basic concepts of datamining techniques. 2. Students will be able to use software datamining tools for forensic science. 3. Students will be able data analysis with datamining techniques. Students will be able to conduct research on datamining systems.
Course ContentIntroduction to forensic datamining.
Detecting unusual or nonrecurring transactions, ,
Discovering undisclosed relationships between entities,
Statistical analytics of activity to validate forecasted or expected patterns,
Event tracking, imaging analysis methods and tools on datamining programs.
 
ReferencesChristopher Westphal, Data Mining for Intelligence, Fraud & Criminal Detection: Advanced Analytics & Information Sharing Technologies, Second Edition Addison CRC Press , 2008. 

Course outline weekly

WeeksTopics
Week 1Datamining for forensic science, basic consepts off datamining
Week 2Multivalued distrubution, data preprocessing
Week 3Clustering, Classifying
Week 4K-NN algorithm, decision tree,
Week 5Neural Networks, relational rules
Week 6Project I
Week 7Datamining software
Week 8Case study
Week 9Case study (continued)
Week 10Case study (continued)
Week 11Project II
Week 12Research presentations
Week 13Research presentations
Week 14Research presentations
Week 15Research presentations
Week 16Final exam

Assesment methods

Course activitiesNumberPercentage
Attendance1410
Laboratory00
Application00
Field activities00
Specific practical training00
Assignments00
Presentation00
Project225
Seminar115
Midterms00
Final exam150
Total100
Percentage of semester activities contributing grade succes050
Percentage of final exam contributing grade succes050
Total100

WORKLOAD AND ECTS CALCULATION

Activities Number Duration (hour) Total Work Load
Course Duration (x14) 14 3 42
Laboratory 0 0 0
Application000
Specific practical training000
Field activities000
Study Hours Out of Class (Preliminary work, reinforcement, ect)9545
Presentation / Seminar Preparation13030
Project000
Homework assignment250100
Midterms (Study duration)000
Final Exam (Study duration) 12020
Total Workload27108237

Matrix Of The Course Learning Outcomes Versus Program Outcomes

D.9. Key Learning OutcomesContrubition level*
12345
1. Based on the graduate level proficiency improves and deepens the actual and advanced knowledge with original thought and/or research in the level of specialty.     X
2. Comprehends interdisciplinary interaction related with his/her field; performs analysis and synthesis of the new and complex ideas and reaches the original results by using expert knowledge in assessment.    X 
3. Evaluates and uses knowledge with systematic approach in his/her field; makes critical analysis, synthesis, and assessment of knowledge and transfer it.     X
4. Develops a new idea, method, design and/or application for innovation in his/her field or performs a known idea, method, design and/or application to a different field. Researches an original subject; comprehends, designs, adapts and implements them   X  
5. Possesses the high level skills in using research methods in his/her field    X 
6. Publishes at least one article related with his/her field in national or international academic journals.  X  
7. Works in situation, which requires to solving original and interdisciplinary problems   X 
8. Develops new ideas and methods related to his/her field using upper level intellectual processes such as innovative and critical thinking, solving problems and enacting.   X 
9. Makes a scientific research at national or international academic groups   X 
10. Contributes the solution of the social, scientific, cultural and ethical problems in his/her field and supports the improvement of these values  X  
11. Presents the scientific and technologic progresses in his/her field, contributes the processes of being an information society where he/she lives and continuation of this.   X 

*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest