PUBLIC RELATIONS AND PUBLICITY | |||||
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) | To prepare the students to become communication professionals by focusing on strategic thinking, professional writing, ethical practice and innovative use of traditional and new media | |
2) | To be able to create effective public relations plans using fundamental planning components that include situation analysis, public profile, objectives, strategies and tactics. | |
3) | To be able to apply theoretical concepts related to mass communication, consumer behavior, psychology, persuasion,sociology, marketing, and other related fields to understand how public realtions works. | |
4) | To be able to have the ability to explain and identify problems associated with the relationships between events and facts in the areas of public relations, persuasive communication, communication management, corporate communications. | |
5) | To be able to analyze primary and secondary research data in the fields of perception and reputation management and corporate communication practices. | |
6) | To be able to search, write, and design articles, newsletters, and fliers, brochures, and announcements, in styles and formats appropraite various audiences, mediums and settings. | |
7) | To be able to apply the underlying theories of communication and the necessities of work safety to different types of public relations processes and campaigns. | |
8) | To be able to develop creative and persuasive management skills in terms of reputation, employee relations, leadership and similar corporate practices. | |
9) | To be able to take responsibility in an individual capacity or as a team in generating solutions to given scenarios which can occur in public relations processes. | |
10) | To be able to understand how an organizational culture works and how employees and leaders create messages as a communication tool. | |
11) | To be able to critically discuss and interpret theories, concepts, methods, tools and ideas in the field of public relations. | |
12) | To be able to to use information, communication technologies and computer software with the required level of public relations, marketing communication, persuasive communication, communication management, corporate communications. | |
13) | To be able to explain and describe business marketing activities, economics, business law and global business practices. | |
14) | To be able to recognize national and international, social and cultural dimensions of public relations. |