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: | MIS110 | ||||
| Course Name: | Data Structure and Algorithms | ||||
| Semester: | Spring | ||||
| Course Credits: |
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| Language of instruction: | English | ||||
| Course Condition: | |||||
| Does the Course Require Work Experience?: | No | ||||
| Type of course: | Compulsory Courses | ||||
| Course Level: |
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| Mode of Delivery: | Face to face | ||||
| Course Coordinator: | Doç. Dr. ŞEBNEM ÖZDEMİR | ||||
| Course Lecturer(s): | Dr. Öğr. Üyesi Mustafa SUNDU | ||||
| Course Assistants: |
Course Objective and Content
| Course Objectives: | The aim of this course is to learn basic concepts of programming, to have a deep knowledge of data structures and algorithms, and also to learn how to select the appropriate data structure for specific problems and to design the algorithm required. |
| Course Content: | The lecture covers the key ideas involved in designing algorithms such as how algorithms depend on the design of suitable data structures, and how some structures and algorithms are more efficient than others for the same task. Basic tasks, such as storing, sorting and searching data, that will be applicable for programming, will be covered. Some key data structures, such as arrays, lists, queues, stacks and trees, will be covered and then move on to explore their use in a range of different searching and sorting algorithms. |
Learning Outcomes
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The students who have succeeded in this course;
1) Know the concepts of data structures and algorithm. 2) Know pseudo language and flow charts. 3) Develop algorithms by Pseudo language or flow charts for solving any problem. 4) Apply appropriate algorithm to any data structure 5) Develop storing algorithms |
Course Flow Plan
| Week | Subject | Related Preparation |
| 1) | Introduction to Algorithms and Data Structures | |
| 2) | Data models and structures | |
| 3) | The Concept of Variable, Value Transfer and Assignment, | |
| 4) | Pseudo language and Flow Chart Software | |
| 5) | Arrays, Iteration, Invariants | |
| 6) | Arithmetic Operations | |
| 7) | Sorting Algorithms | |
| 8) | Midterm | |
| 9) | Search Algorithms | |
| 10) | lists | |
| 11) | Queue and Stack | |
| 12) | Trees | |
| 13) | Graphs | |
| 14) | Indexed Filing, Storing Data and Data Compression | |
| 15) | Disruptive Concepts | |
| 16) | Final |
Sources
| Course Notes / Textbooks: | - Anany Levitin, 2012. Introduction to The Design & Analysis of Algorithms. Pearson. - Ders notları |
| References: | Ek kaynak ihtiyacı bulunmamaktadır. - There is no need for additional resources. |
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 | 3 | 2 | ||||||||
| 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 | 3 | 2 | 3 | ||||||||
| 3) Uses different information technologies and systems for understanding and solving various business problems. | 2 | 2 | 2 | 2 | 2 | ||||||||
| 4) Interpret the data, concepts and ideas in the field of management information systems with scientific and technological methods. | 3 | 3 | 3 | 3 | 3 | ||||||||
| 5) Analyze the needs for an information system and analyze the processes of analysis, design and implementation of the database. | 2 | 3 | 2 | 3 | 2 | ||||||||
| 6) Gains technical and managerial contributions to IT projects and takes responsibility. | 3 | 3 | 3 | 2 | 2 | ||||||||
| 7) Solve complex business and informatics problems by using various statistical techniques and numerical methods and make analyzes using statistical programs effectively. | 1 | 2 | 2 | 3 | 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 | 2 | 2 | 3 | ||||||||
| 9) Develops teamwork, negotiation, leadership and entrepreneurship skills. | 3 | 3 | 3 | 3 | 3 | ||||||||
| 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 | 3 | 2 | 3 | 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 | 2 | 2 | 3 | 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 | 3 | 3 | 3 | 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. | 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. | 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. | 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 |
| 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 |
| Quizzes | 3 | % 30 |
| Midterms | 1 | % 30 |
| Final | 1 | % 40 |
| total | % 100 | |
| PERCENTAGE OF SEMESTER WORK | % 60 | |
| PERCENTAGE OF FINAL WORK | % 40 | |
| total | % 100 | |
Workload and ECTS Credit Calculation
| Activities | Number of Activities | Workload |
| Course Hours | 14 | 42 |
| Application | 14 | 28 |
| Study Hours Out of Class | 14 | 42 |
| Homework Assignments | 14 | 15 |
| Quizzes | 3 | 6 |
| Final | 14 | 20 |
| Total Workload | 153 | |