INDUSTRIAL 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 | 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) | Build up a body of knowledge in mathematics, science and industrial engineering subjects; use theoretical and applied information in these areas to model and solve complex engineering problems. | |
2) | Identify, formulate, and solve complex engineering problems; select and apply proper analysis and modeling methods for this purpose. | |
3) | Design a complex system, process, device or product under realistic constraints and conditions, in such a way as to meet the desired result; apply modern design methods for this purpose. The ability to apply modern design methods to meet this objective. | |
4) | Devise, select, and use modern techniques and tools needed for solving complex problems in industrial engineering practice; employ information technologies effectively. | |
5) | Design and conduct experiments, collect data, analyze and interpret results for investigating the complex problems specific to industrial engineering. | |
6) | Cooperate efficiently in intra-disciplinary and multi-disciplinary teams; and show self-reliance when working independently. | |
7) | Demonstrate effective communication skills in both oral and written English and Turkish. Writing and understanding reports, preparing design and production reports, making effective presentations, giving and receiving clear and understandable instructions. | |
8) | Recognize the need for lifelong learning; show ability to access information, to follow developments in science and technology, and to continuously educate him/herself. | |
9) | Develop an awareness of professional and ethical responsibility, and behaving accordingly. Information about the standards used in engineering applications. | |
10) | Know business life practices such as project management, risk management, and change management; develop an awareness of entrepreneurship, innovation, and sustainable development. | |
11) | Know contemporary issues and the global and societal effects of modern age engineering practices on health, environment, and safety; recognize the legal consequences of engineering solutions. | |
12) | Develop effective and efficient managerial skills. |