ISTINYE UNIVERSITY BİLGİ PAKETİ / DERS KATALOĞU
| Management Information Systems (English) | |||||
| Bachelor | TR-NQF-HE: Level 6 | QF-EHEA: First Cycle | EQF-LLL: Level 6 | ||
Course Introduction and Application Information
| Course Code: | MIS077 | ||||
| Course Name: | Network Modelling and Analysis | ||||
| Semester: | Spring | ||||
| Course Credits: |
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| Language of instruction: | English | ||||
| 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: | Araş. Gör. KAZIM TİMUÇİN UTKAN | ||||
| Course Lecturer(s): |
Öğr. Gör. SERHAT SAYLAM |
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| Course Assistants: |
Course Objective and Content
| Course Objectives: | This course is designed to provide students with an in-depth understanding of various network modelling techniques and analytical methods. The curriculum includes theoretical foundations, practical algorithms, case studies, and current research topics in the realm of network analysis. The goal is to equip students with the necessary skills to interpret and analyze complex networks within different contexts, such as social media, organizational structures, and technological systems, thereby preparing them for analytical roles in their future careers. |
| Course Content: | 1. Fundamentals of Network Theory and Graph Analysis 2. Models and Algorithms for Network Structures 3. Analysis of Social, Technological, and Business Networks 4. Network Dynamics and Evolution Patterns 5. Data Collection and Simulation Techniques in Networks |
Learning Outcomes
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The students who have succeeded in this course;
1) Students will understand the main concepts and principles of network theory. 2) Students will be able to apply appropriate methods for modelling and analyzing different types of networks. 3) Öğrenciler ağ verilerini görselleştirmek ve yorumlamak için yazılım araçlarını kullanma konusunda yetkinlik kazanacaklardır. 4) Students will have the ability to assess network dynamics and predict evolutionary trends. 5) Students will develop the skills to collect and analyze network data for real-world applications. |
Course Flow Plan
| Week | Subject | Related Preparation |
| 1) | Introduction to Network Science – Key Concepts and Definitions | - |
| 2) | Network Structures and Graph Theory Basics | - |
| 3) | Measures of Centrality and Connectivity in Networks | - |
| 4) | Community Detection and Clustering Algorithms | - |
| 5) | Network Robustness and Vulnerability Analysis | - |
| 7) | Modelling Network Traffic and Flows | - |
| 8) | Midterm Exam | |
| 9) | Technological Networks and the Internet's Structure | |
| 10) | Social Network Analysis – Methods and Applications | |
| 11) | Network Evolution and Dynamic Modelling | |
| 12) | Data-Driven Network Modelling Techniques | |
| 13) | Case Study Discussions and Analysis Techniques | |
| 14) | Project Presentations | |
| 15) | Review of Key Concepts and Case Studies | |
| 16) | Final Exam |
Sources
| Course Notes / Textbooks: | - |
| References: | - |
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) 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) Uses different information technologies and systems for understanding and solving various business problems. | |||||||||||||
| 4) Interpret the data, concepts and ideas in the field of management information systems with scientific and technological methods. | |||||||||||||
| 5) Analyze the needs for an information system and analyze the processes of analysis, design and implementation of the database. | |||||||||||||
| 6) Gains technical and managerial contributions to IT projects and takes responsibility. | |||||||||||||
| 7) Solve complex business and informatics problems by using various statistical techniques and numerical methods and make analyzes using statistical programs effectively. | |||||||||||||
| 8) Uses a foreign language at the B1 General Level in terms of European Language Portfolio criteria according to the level of education. | |||||||||||||
| 9) Develops teamwork, negotiation, leadership and entrepreneurship skills. | |||||||||||||
| 10) Has universal ethical values, social responsibility awareness and sufficient legal knowledge. | |||||||||||||
| 11) Develops positive attitudes related to lifelong learning and identifies individual learning needs and carries out studies to correct them. | |||||||||||||
| 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. | |||||||||||||
| 13) It uses information and communication technologies together with computer software at the advanced level of European Computer Driving License required by the field. | |||||||||||||
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. | 3 |
| 4) | Interpret the data, concepts and ideas in the field of management information systems with scientific and technological methods. | 3 |
| 5) | Analyze the needs for an information system and analyze the processes of analysis, design and implementation of the database. | 3 |
| 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. | 3 |
| 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. | 3 |
| 11) | Develops positive attitudes related to lifelong learning and identifies individual learning needs and carries out studies to correct them. | 3 |
| 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 | 16 | 32 |
| Midterms | 8 | 46 |
| Final | 8 | 44 |
| Total Workload | 122 | |