Code | Name of the Course Unit | Semester | In-Class Hours (T+P) | Credit | ECTS Credit |
---|---|---|---|---|---|
YEM406 | DATA MINING | 8 | 3 | 3 | 8 |
GENERAL INFORMATION |
|
---|---|
Language of Instruction : | Turkish |
Level of the Course Unit : | BACHELOR'S DEGREE, TYY: + 6.Level, EQF-LLL: 6.Level, QF-EHEA: First Cycle |
Type of the Course : | Compulsory |
Mode of Delivery of the Course Unit | - |
Coordinator of the Course Unit | Assoc.Prof. TAYLAN MARAL |
Instructor(s) of the Course Unit | |
Course Prerequisite | No |
OBJECTIVES AND CONTENTS |
|
---|---|
Objectives of the Course Unit: | This course aims to teach the students Data Mining Concepts, Data Preparation Techniques, Statistical Learning Theory (Naive Bayes), Clustering Methods (K-Means, hierarchical), Decision Trees and Decision Rules, Association Rules under the new media environment and the acquis. |
Contents of the Course Unit: | Contents of the course include the subjects such as finding and discovering useful information in the new media environment in accordance with the purpose of data mining, describing the current situation using the information discovered and predicting future occurrences. |
KEY LEARNING OUTCOMES OF THE COURSE UNIT (On successful completion of this course unit, students/learners will or will be able to) |
---|
Understand the basic concepts of data mining. |
List data mining methods such as clustering, classification, association. |
Apply the data mining. |
Analyse the data imported from the source. |
WEEKLY COURSE CONTENTS AND STUDY MATERIALS FOR PRELIMINARY & FURTHER STUDY |
|||
---|---|---|---|
Week | Preparatory | Topics(Subjects) | Method |
1 | Literature Review | Introduction to Data Mining | Lecture |
2 | Literature Review | New Media and Data Mining Relation | Lecture |
3 | Literature Review | Computer Systems and Data Mining | Lecture |
4 | Literature Review, Using Visual Sources | Data Mining Applications | Lecture |
5 | Literature Review | Introduction to Data Mining Algorithms | Lecture |
6 | Literature Review, Using Visual Sources | Flow-charting | Lecture |
7 | Literature Review | Basic Concepts in data communications | Lecture |
8 | - | MID-TERM EXAM | - |
9 | Literature Review | Introduction to Programming Languages | Lecture |
10 | Literature Review, Using Visual Sources, Using Applications | Introduction to Database and Management | Lecture |
11 | Using Visual Sources, Using Applications | Usage of Software Tools in Computer Labs | Demonstrating on Computer Programme |
12 | Using Visual Sources, Using Applications | Introduction to Programming Languages | Demonstrating on Computer Programme |
13 | Using Visual Sources, Using Applications | Mathematical process in programming language, controls and cycles | Demonstrating on Computer Programme |
14 | Using Visual Sources, Using Applications | Base-Calling Algorithms | Lecture & Demonstrating on Computer Programme |
15 | Using Visual Sources, Using Applications | Processing Algorithms | Lecture & Demonstrating on Computer Programme |
16 | - | FINAL EXAM | - |
17 | - | FINAL EXAM | - |
SOURCE MATERIALS & RECOMMENDED READING |
---|
Silahtaroglu G. (2016). Veri Madenciligi Kavram ve Algoritmaları. Istanbul: Papatya Bilim |
Karacan H., Yesilbudak M. (2010). Kullanici Merkezli Interaktif Veri Madenciligi: Bir Literatur Taramasi. Ankara: Bilisim Teknolojileri Dergisi |
Zaki M. J., Wagner M. J. (2014). Data Mining and Analysis: Fundamental Concepts and Algorithms. Cambridge: Cambridge University Press |
ASSESSMENT |
|||
---|---|---|---|
Assessment & Grading of In-Term Activities | Number of Activities | Degree of Contribution (%) | Description |
Level of Contribution | |||||
---|---|---|---|---|---|
0 | 1 | 2 | 3 | 4 | 5 |
KNOWLEDGE |
|||||||
---|---|---|---|---|---|---|---|
Theoretical |
|||||||
Programme Learning Outcomes | Level of Contribution | ||||||
0 | 1 | 2 | 3 | 4 | 5 | ||
1 |
List the history of communication, mass media, communication theories and leading theorists.
|
0 | |||||
2 |
List the historical, social and cultural types of communication and explain the related concepts.
|
1 | |||||
3 |
Define the important points of the history and theories of communication through daily life practices and social life.
|
1 |
KNOWLEDGE |
|||||||
---|---|---|---|---|---|---|---|
Factual |
|||||||
Programme Learning Outcomes | Level of Contribution | ||||||
0 | 1 | 2 | 3 | 4 | 5 | ||
1 |
Compare the traditional media and new media economic policies.
|
1 | |||||
2 |
Interpret digital culture with constantly updated and self-renewing topics.
|
3 | |||||
3 |
Interpret the technical, socio-political and legal aspects of cyber security issues in the field of new media.
|
3 |
SKILLS |
|||||||
---|---|---|---|---|---|---|---|
Cognitive |
|||||||
Programme Learning Outcomes | Level of Contribution | ||||||
0 | 1 | 2 | 3 | 4 | 5 | ||
1 |
Define the basic concepts of communication history, communication theories, traditional and new media channels.
|
1 |
SKILLS |
|||||||
---|---|---|---|---|---|---|---|
Practical |
|||||||
Programme Learning Outcomes | Level of Contribution | ||||||
0 | 1 | 2 | 3 | 4 | 5 | ||
1 |
Prepare web pages with CSS codes.
|
1 | |||||
2 |
Produce creative content in new media environments, create an image and sound and practical studies about programming.
|
1 | |||||
3 |
Analyze the sub-texts and their semantics of the studies presented to the society by mass media.
|
2 | |||||
4 |
Use qualitative and quantitative elements to construct arguments on studies in the field of communication.
|
4 |
OCCUPATIONAL |
|||||||
---|---|---|---|---|---|---|---|
Autonomy & Responsibility |
|||||||
Programme Learning Outcomes | Level of Contribution | ||||||
0 | 1 | 2 | 3 | 4 | 5 | ||
1 |
Manage social media accounts of brands, corporate firms and public institutions thanks to its advanced knowledge in content production and user experience.
|
1 |
OCCUPATIONAL |
|||||||
---|---|---|---|---|---|---|---|
Learning to Learn |
|||||||
Programme Learning Outcomes | Level of Contribution | ||||||
0 | 1 | 2 | 3 | 4 | 5 | ||
1 |
Review local and foreign studies in the field of New Media.
Creates innovative works in his/her field.
|
2 | |||||
2 |
Criticize the effects of social media activities on socio-political field.
|
2 |
OCCUPATIONAL |
|||||||
---|---|---|---|---|---|---|---|
Communication & Social |
|||||||
Programme Learning Outcomes | Level of Contribution | ||||||
0 | 1 | 2 | 3 | 4 | 5 | ||
1 |
Plan scientific studies in any area that can be encountered in different disciplines and transfer them to people from different disciplines.
|
3 | |||||
2 |
Determine how much of the content produced by the media is right and wrong.
|
4 |
OCCUPATIONAL |
|||||||
---|---|---|---|---|---|---|---|
Occupational and/or Vocational |
|||||||
Programme Learning Outcomes | Level of Contribution | ||||||
0 | 1 | 2 | 3 | 4 | 5 | ||
1 |
Follows the developments that have begun to guide the present and the future such as "Software".
Produce various software products for different sectors.
|
1 | |||||
2 |
Design using new architectures of big data processing systems.
|
5 | |||||
3 |
Determine the logic of operation of artificial intelligence algorithms and determines the possible effects on media and indirectly society.
|
2 |
WORKLOAD & ECTS CREDITS OF THE COURSE UNIT |
|||
---|---|---|---|
Workload for Learning & Teaching Activities |
|||
Type of the Learning Activites | Learning Activities (# of week) | Duration (hours, h) | Workload (h) |
Lecture & In-Class Activities | 14 | 3 | 42 |
Preliminary & Further Study | 13 | 6 | 78 |
Land Surveying | 0 | 0 | 0 |
Group Work | 0 | 0 | 0 |
Laboratory | 0 | 0 | 0 |
Reading | 0 | 0 | 0 |
Assignment (Homework) | 0 | 0 | 0 |
Project Work | 0 | 0 | 0 |
Seminar | 0 | 0 | 0 |
Internship | 0 | 0 | 0 |
Technical Visit | 0 | 0 | 0 |
Web Based Learning | 0 | 0 | 0 |
Implementation/Application/Practice | 0 | 0 | 0 |
Practice at a workplace | 0 | 0 | 0 |
Occupational Activity | 0 | 0 | 0 |
Social Activity | 0 | 0 | 0 |
Thesis Work | 0 | 0 | 0 |
Field Study | 0 | 0 | 0 |
Report Writing | 0 | 0 | 0 |
Final Exam | 1 | 1 | 1 |
Preparation for the Final Exam | 1 | 42 | 42 |
Mid-Term Exam | 1 | 1 | 1 |
Preparation for the Mid-Term Exam | 1 | 40 | 40 |
Short Exam | 0 | 0 | 0 |
Preparation for the Short Exam | 0 | 0 | 0 |
TOTAL | 31 | 0 | 204 |
Total Workload of the Course Unit | 204 | ||
Workload (h) / 25.5 | 8 | ||
ECTS Credits allocated for the Course Unit | 8,0 |