BAHÇEŞEHİR UNIVERSITY BİLGİ PAKETİ / DERS KATALOĞU
| BUSINESS ADMINISTRATION | |||||
| Bachelor | TR-NQF-HE: Level 6 | QF-EHEA: First Cycle | EQF-LLL: Level 6 | ||
Course Introduction and Application Information
| Course Code | Course Name | Semester | Theoretical | Practical | Credit | ECTS |
| SEN2211 | Data Structures and Algorithms I | Spring Fall |
2 | 2 | 3 | 7 |
| This catalog is for information purposes. Course status is determined by the relevant department at the beginning of semester. |
Basic information
| Language of instruction: | English |
| Type of course: | Non-Departmental Elective |
| Course Level: | Bachelor’s Degree (First Cycle) |
| Mode of Delivery: | Face to face |
| Course Coordinator : | Dr. Öğr. Üyesi BETÜL ERDOĞDU ŞAKAR |
| Course Lecturer(s): |
Dr. Öğr. Üyesi BETÜL ERDOĞDU ŞAKAR RA MERVE ARITÜRK Prof. Dr. NAFİZ ARICA Instructor DUYGU ÇAKIR YENİDOĞAN RA SEVGİ CANPOLAT |
| Recommended Optional Program Components: | None |
| Course Objectives: | This is an introductory course on common data structures that are used in software engineering. After completing the course, the student will have knowledge of applying, implementing and analysis of basic data structures, including, lists, stacks and queues. Certain fundamental techniques, such as sorting, searching and recursion are also taught. |
Learning Outcomes
|
The students who have succeeded in this course; 1) Describe and apply basic object oriented programming principles. 2) Implement basic data structures such as linked lists, stacks and queues. 3) Analyze the complexity and efficiency of algorithms. 4) Choose and design data structures for writing efficient programs. 5) Implement recursive algorithms. 6) Describe and implement sorting algorithms on common data structures. 7) Describe and implement search algorithms on common data structures. |
Course Content
| The course content is composed of object oriented Java review, the complexity and efficiency of algorithms, introduction to list-stack-queue structures, implementing list-stack-queue structures, recursion, searching algorithms and sorting algorithms. |
Weekly Detailed Course Contents
| Week | Subject | Related Preparation |
| 1) | Introduction to Data Structures and Algorithms Complexity Analysis | |
| 2) | Introduction to Linked Lists | |
| 3) | Doubly Linked Lists Ordered Linked Lists | |
| 4) | ||
| 5) | Stacks | |
| 6) | Stacks for Algebraic Operations | |
| 7) | Queues | |
| 8) | Queues | |
| 9) | Data Structure Classes in Java | |
| 10) | Recursion | |
| 11) | Recursive Complexity | |
| 12) | Searching Algorithms | |
| 13) | Sorting Algorithms | |
| 14) | Sorting algorithms |
Sources
| Course Notes / Textbooks: | Data Structures & Problem Solving Using Java (Mark Allen Weiss) Data Structures and Algorithm Analysis in Java (Mark Allen Weiss) Data Structures and Abstractions with Java (Frank Carrano) |
| References: | Yok |
Evaluation System
| Semester Requirements | Number of Activities | Level of Contribution |
| Laboratory | 4 | % 20 |
| Quizzes | 5 | % 20 |
| Midterms | 1 | % 20 |
| Final | 1 | % 40 |
| Total | % 100 | |
| PERCENTAGE OF SEMESTER WORK | % 60 | |
| PERCENTAGE OF FINAL WORK | % 40 | |
| Total | % 100 | |
ECTS / Workload Table
| Activities | Number of Activities | Workload |
| Course Hours | 14 | 28 |
| Laboratory | 14 | 28 |
| Study Hours Out of Class | 12 | 24 |
| Midterms | 10 | 52 |
| Final | 5 | 32 |
| Total Workload | 164 | |
Contribution of Learning Outcomes to Programme Outcomes
| No Effect | 1 Lowest | 2 Low | 3 Average | 4 High | 5 Highest |
| Program Outcomes | Level of Contribution | |
| 1) | Being able to identify problems and ask right questions | |
| 2) | Having problem solving skills and developing necessary analytical attitude | |
| 3) | Comprehending theoretical arguments along with counter arguments in detail | |
| 4) | Gaining awareness of lifelong learning and being qualified for pursuing graduate education | |
| 5) | Applying theoretical concepts in project planning | |
| 6) | Communicating efficiently by accepting differences and carrying out compatible teamwork | |
| 7) | Increasing efficiency rate in business environment | |
| 8) | Developing innovative and creative solutions in face of uncertainty | |
| 9) | Researching to gather information for understanding current threats and opportunities in business | |
| 10) | Being aware of the effects of globalization on society and business while deciding | |
| 11) | Possessing digital competence and utilizing necessary technology | |
| 12) | Communicating in at least one foreign language in academic and daily life | |
| 13) | Possessing managing skills and competence | |
| 14) | Deciding with the awareness of the legal and ethical consequences of business operations | |
| 15) | Expressing opinions that are built through critical thinking process in business and academic environment |