CIVIL ENGINEERING | |||||
Bachelor | TR-NQF-HE: Level 6 | QF-EHEA: First Cycle | EQF-LLL: Level 6 |
Course Code | Course Name | Semester | Theoretical | Practical | Credit | ECTS |
SEN2211 | Data Structures and Algorithms I | Fall Spring |
2 | 2 | 3 | 7 |
This catalog is for information purposes. Course status is determined by the relevant department at the beginning of semester. |
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. |
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. |
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. |
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 |
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 |
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 |
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 |
No Effect | 1 Lowest | 2 Low | 3 Average | 4 High | 5 Highest |
Program Outcomes | Level of Contribution | |
1) | Adequate knowledge in mathematics, science and civil engineering; the ability to use theoretical and practical knowledge in these areas in complex engineering problems. | |
2) | Ability to identify, formulate, and solve complex engineering problems; ability to select and apply proper analysis and modeling methods for this purpose. | |
3) | Ability to design a complex system, process, structural and/or structural members to meet specific requirements under realistic constraints and conditions; ability to apply modern design methods for this purpose. | |
4) | Ability to develop, select and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in civil engineering applications; ability to use civil engineering technologies effectively. | |
5) | Ability to design, conduct experiments, collect data, analyze and interpret results for the study of complex engineering problems or civil engineering research topics. | |
6) | Ability to work effectively within and multi-disciplinary teams; individual study skills. | |
7) | Ability to communicate effectively in English and Turkish (if he/she is a Turkish citizen), both orally and in writing. | |
8) | Awareness of the necessity of lifelong learning; ability to access information to follow developments in civil engineering technology. | |
9) | To act in accordance with ethical principles, professional and ethical responsibility; having awareness of the importance of employee workplace health and safety. | |
10) | Information about business life practices such as project management, risk management, and change management; awareness of entrepreneurship, innovation, and sustainable development. | |
11) | Knowledge about contemporary issues and the global and societal effects of engineering practices on health, environment, and safety; awareness of the legal consequences of civil engineering solutions. |