| MATHEMATICS (TURKISH, PHD) | |||||
| PhD | TR-NQF-HE: Level 8 | QF-EHEA: Third Cycle | EQF-LLL: Level 8 | ||
| Course Code | Course Name | Semester | Theoretical | Practical | Credit | ECTS |
| CMP2003 | Data Structures and Algorithms (C++) | Fall | 3 | 2 | 4 | 7 |
| The course opens with the approval of the Department at the beginning of each semester |
| Language of instruction: | En |
| Type of course: | Departmental Elective |
| Course Level: | |
| Mode of Delivery: | Face to face |
| Course Coordinator : | Assoc. Prof. TEVFİK AYTEKİN |
| Course Lecturer(s): |
Assist. Prof. ERKUT ARICAN Assoc. Prof. TEVFİK AYTEKİN RA ÇİĞDEM ERİŞ |
| Course Objectives: | This is an introductory course on common data structures that are used in computer engineering. After completing the course, the student will have knowledge of applying, implementing and analysis of basic data structures, including, lists, stacks, queues, hash tables and binary trees. Certain fundamental techniques, such as sorting, searching and recursion are also introduced. |
|
The students who have succeeded in this course; I. Describe and apply basic object oriented programming principles. II. Implement basic data structures such as linked lists, stacks, queues, hash tables, and trees. III. Analyze the efficiency of algorithms. IV. Choose and design data structures for writing efficient programs and apply/report these methods in a group project. V. Implement recursive algorithms. VI. Describe and implement sorting algorithms on common data structures. VII. Describe and implement search algorithms on common data structures. |
| After course overview and review of object oriented programming and C++, complexity analysis of algorithms will be introduced then array-based lists, linked lists, recursion, stacks, and queues will be covered. After the midterm search algorithms and hashing will be introduced. Lastly, sorting algorithms, binary search trees and B-trees will be covered during the end of the course. The teaching methods of the course include lectures, group work, technology-assisted learning, project preparation, and practice. |
| Week | Subject | Related Preparation | |
| 1) | Course overview and review of object oriented programming and C++ | ||
| 2) | Complexity analysis of algorithms | ||
| 3) | Array-based and linked lists | ||
| 4) | Array-based and linked lists | ||
| 5) | Recursion | ||
| 6) | Stacks | ||
| 7) | Queues | ||
| 8) | Midterm Exam | ||
| 9) | Searching algorithms | ||
| 10) | Hashing algorithms | ||
| 11) | Sorting algorithms | ||
| 12) | Sorting algorithms | ||
| 13) | Binary search trees | ||
| 14) | B-trees | ||
| Course Notes: | D. S. Malik, Data Structures Using C++, 2e. Course Technology - Cengage Learning, 2010. |
| References: |
| Semester Requirements | Number of Activities | Level of Contribution |
| Attendance | 0 | % 0 |
| Laboratory | 0 | % 0 |
| Application | 0 | % 0 |
| Field Work | 0 | % 0 |
| Special Course Internship (Work Placement) | 0 | % 0 |
| Quizzes | 1 | % 10 |
| Homework Assignments | 0 | % 0 |
| Presentation | 0 | % 0 |
| Project | 1 | % 20 |
| Seminar | 0 | % 0 |
| Midterms | 1 | % 30 |
| Preliminary Jury | 0 | % 0 |
| Final | 1 | % 40 |
| Paper Submission | 0 | % 0 |
| Jury | 0 | % 0 |
| Bütünleme | % 0 | |
| Total | % 100 | |
| PERCENTAGE OF SEMESTER WORK | % 40 | |
| PERCENTAGE OF FINAL WORK | % 60 | |
| Total | % 100 | |
| Activities | Number of Activities | Duration (Hours) | Workload |
| Course Hours | 14 | 3 | 42 |
| Laboratory | 14 | 5 | 70 |
| Application | 0 | 0 | 0 |
| Special Course Internship (Work Placement) | 0 | 0 | 0 |
| Field Work | 0 | 0 | 0 |
| Study Hours Out of Class | 0 | 0 | 0 |
| Presentations / Seminar | 0 | 0 | 0 |
| Project | 1 | 20 | 20 |
| Homework Assignments | 0 | 0 | 0 |
| Quizzes | 1 | 8 | 8 |
| Preliminary Jury | 0 | 0 | 0 |
| Midterms | 1 | 15 | 15 |
| Paper Submission | 0 | 0 | 0 |
| Jury | 0 | 0 | 0 |
| Final | 1 | 18 | 18 |
| Total Workload | 173 | ||
| No Effect | 1 Lowest | 2 Low | 3 Average | 4 High | 5 Highest |
| Program Outcomes | Level of Contribution | |
| 1) | Be able to organize events, for the development of critical and creative thinking and problem solving skills, by using appropriate methods and techniques. | |
| 2) | Ability to make individual and team work on issues related to working and social life. | |
| 3) | Ability to transfer ideas and suggestions, related to topics about his/her field of interest, written and verball. | |
| 4) | Ability to use mathematical knowledge in technology. | |
| 5) | To apply mathematical principles to real world problems. | |
| 6) | Ability to use the approaches and knowledge of other disciplines in Mathematics. | |
| 7) | Be able to set up and develope a solution method for a problem in mathematics independently, be able to solve and evaluate the results and to apply them if necessary. | |
| 8) | To be able to link abstract thought that one has to concrete events and to transfer the solutions and examine and interpret the results scientifically by forming experiments and collecting data. |