ISTINYE UNIVERSITY BİLGİ PAKETİ / DERS KATALOĞU
| Management Information Systems | |||||
| Bachelor | TR-NQF-HE: Level 6 | QF-EHEA: First Cycle | EQF-LLL: Level 6 | ||
Course Introduction and Application Information
| Course Code: | YBS024 | ||||
| Course Name: | Data Visualization | ||||
| Semester: | Spring | ||||
| Course Credits: |
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| Language of instruction: | Turkish | ||||
| Course Condition: | |||||
| Does the Course Require Work Experience?: | No | ||||
| Type of course: | Departmental Elective | ||||
| Course Level: |
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| Mode of Delivery: | Face to face | ||||
| Course Coordinator: | Doç. Dr. ŞEBNEM ÖZDEMİR | ||||
| Course Lecturer(s): |
Dr. Öğr. Üy. OZAN EVKAYA |
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| Course Assistants: |
Course Objective and Content
| Course Objectives: | This course aims to provide students with a comprehensive understanding of the theory and practice of data visualization. Students will learn the basic principles of data visualization, how to visualize various data types and structures, what visualization techniques to use, what tools and software are available, and the ethical and legal aspects of data visualization. |
| Course Content: | 1. Basic principles and applications of data visualization 2. Visualization of various data types and structures 3. Visualization techniques to analyze and interpret data 4. Data visualization tools and software 5. Ethical and legal issues related to data visualization |
Learning Outcomes
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The students who have succeeded in this course;
1) Ability to visualize different data types and structures 2) . A solid understanding of data visualization principles and techniques 3) Ability to use data visualization tools and software effectively 4) Knowledge about the ethical and legal aspects of data visualization 5) Ability to apply visualization techniques to analyze and interpret data |
Course Flow Plan
| Week | Subject | Related Preparation |
| 1) | Definition and importance of data visualization | |
| 2) | Basic principles of data visualization | |
| 3) | Various data types and structures | |
| 4) | Data visualization techniques - Part 1 | |
| 5) | Data visualization techniques - Part 2 | |
| 6) | Data visualization tools and software - Part 1 | |
| 7) | Data visualization tools and software - Part 2 | |
| 8) | Vize Sınavı | |
| 9) | Data visualization applications - Part 1 | |
| 10) | Data visualization applications - Part 2 | |
| 11) | Ethical aspects of data visualization | |
| 12) | Legal aspects of data visualization | |
| 13) | Data analysis and interpretation techniques | |
| 14) | Special topics and latest trends | |
| 15) | General review of the course and preparation for the final exam | |
| 16) | Final Exam |
Sources
| Course Notes / Textbooks: | 1. "The Functional Art: An introduction to information graphics and visualization" - Alberto Cairo 2. "Data Visualization: A Practical Introduction" - Kieran Healy |
| References: | 1. "The Truthful Art: Data, Charts, and Maps for Communication" - Alberto Cairo 2. "Visualize This: The FlowingData Guide to Design, Visualization, and Statistics" - Nathan Yau |
Course - Program Learning Outcome Relationship
| Course Learning Outcomes | 1 |
2 |
3 |
4 |
5 |
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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Program Outcomes | |||||||||||||
| 1) It has a wide range of interdisciplinary approaches to management information systems, primarily business and computer engineering. | 2 | 2 | 3 | 2 | 3 | ||||||||
| 2) Comprehends the management information systems in terms of technical, organizational and managerial aspects and uses the current programming language by knowing the logic of programming. | 2 | 3 | 3 | 3 | 2 | ||||||||
| 3) Uses different information technologies and systems for understanding and solving various business problems. | 3 | 2 | 2 | 2 | 3 | ||||||||
| 4) Interpret the data, concepts and ideas in the field of management information systems with scientific and technological methods. | 3 | 2 | 3 | 2 | 3 | ||||||||
| 5) Analyze the needs for an information system and analyze the processes of analysis, design and implementation of the database. | 2 | 3 | 2 | 2 | 3 | ||||||||
| 6) Gains technical and managerial contributions to IT projects and takes responsibility. | 3 | 3 | 2 | 3 | 3 | ||||||||
| 7) Solve complex business and informatics problems by using various statistical techniques and numerical methods and make analyzes using statistical programs effectively. | 2 | 3 | 2 | 2 | 3 | ||||||||
| 8) Uses a foreign language at the B1 General Level in terms of European Language Portfolio criteria according to the level of education. | 2 | 2 | 3 | 2 | 3 | ||||||||
| 9) Develops teamwork, negotiation, leadership and entrepreneurship skills. | 2 | 2 | |||||||||||
| 10) Has universal ethical values, social responsibility awareness and sufficient legal knowledge. | 2 | 3 | 3 | 2 | 2 | ||||||||
| 11) Develops positive attitudes related to lifelong learning and identifies individual learning needs and carries out studies to correct them. | 3 | 2 | 2 | 3 | 2 | ||||||||
| 12) Students will be able to communicate their ideas and solutions both written and orally, and present and publish them on both national and international platforms. | 3 | 3 | 2 | 2 | 3 | ||||||||
| 13) It uses information and communication technologies together with computer software at the advanced level of European Computer Driving License required by the field. | 2 | 3 | 3 | 2 | 3 | ||||||||
Course - Learning Outcome Relationship
| No Effect | 1 Lowest | 2 Average | 3 Highest |
| Program Outcomes | Level of Contribution | |
| 1) | It has a wide range of interdisciplinary approaches to management information systems, primarily business and computer engineering. | 3 |
| 2) | Comprehends the management information systems in terms of technical, organizational and managerial aspects and uses the current programming language by knowing the logic of programming. | 3 |
| 3) | Uses different information technologies and systems for understanding and solving various business problems. | 2 |
| 4) | Interpret the data, concepts and ideas in the field of management information systems with scientific and technological methods. | 2 |
| 5) | Analyze the needs for an information system and analyze the processes of analysis, design and implementation of the database. | 2 |
| 6) | Gains technical and managerial contributions to IT projects and takes responsibility. | 3 |
| 7) | Solve complex business and informatics problems by using various statistical techniques and numerical methods and make analyzes using statistical programs effectively. | 2 |
| 8) | Uses a foreign language at the B1 General Level in terms of European Language Portfolio criteria according to the level of education. | 3 |
| 9) | Develops teamwork, negotiation, leadership and entrepreneurship skills. | 3 |
| 10) | Has universal ethical values, social responsibility awareness and sufficient legal knowledge. | 2 |
| 11) | Develops positive attitudes related to lifelong learning and identifies individual learning needs and carries out studies to correct them. | 2 |
| 12) | Students will be able to communicate their ideas and solutions both written and orally, and present and publish them on both national and international platforms. | 3 |
| 13) | It uses information and communication technologies together with computer software at the advanced level of European Computer Driving License required by the field. | 3 |
Assessment & Grading
| Semester Requirements | Number of Activities | Level of Contribution |
| Midterms | 1 | % 40 |
| Final | 1 | % 60 |
| total | % 100 | |
| PERCENTAGE OF SEMESTER WORK | % 40 | |
| PERCENTAGE OF FINAL WORK | % 60 | |
| total | % 100 | |
Workload and ECTS Credit Calculation
| Activities | Number of Activities | Workload |
| Course Hours | 14 | 42 |
| Midterms | 8 | 29 |
| Final | 8 | 61 |
| Total Workload | 132 | |