ECTS - Data Structures
Data Structures (CMPE226) Course Detail
| Course Name | Course Code | Season | Lecture Hours | Application Hours | Lab Hours | Credit | ECTS |
|---|---|---|---|---|---|---|---|
| Data Structures | CMPE226 | 4. Semester | 3 | 0 | 0 | 3 | 8 |
| Pre-requisite Course(s) |
|---|
| CMPE225 |
| Course Language | English |
|---|---|
| Course Type | Compulsory Departmental Courses |
| Course Level | Bachelor’s Degree (First Cycle) |
| Mode of Delivery | Face To Face |
| Learning and Teaching Strategies | Lecture, Discussion, Question and Answer, Drill and Practice, Brain Storming. |
| Course Lecturer(s) |
|
| Course Objectives | This course introduces the abstract concepts that are useful in problem solving, and shows how these concepts are implemented in a programming language. The students learn how to choose a suitable data structure for a specific problem, how to create more complex data structures using the already existing data types, and also how to implement and analyze the algorithms developed for these data structures. The students get a chance to apply their knowledge by completing assignments written in the C++ language. |
| Course Learning Outcomes |
The students who succeeded in this course;
|
| Course Content | Stacks, recursion, queues; creation and destruction of dynamic variables, serial linked lists, circular lists, doubly linked lists, circular doubly linked lists; sorting and searching algorithms, space and time considerations, binary trees, binary search trees, tree traversal algorithms, binary tree sorting algorithms, hashing. |
Weekly Subjects and Releated Preparation Studies
| Week | Subjects | Preparation |
|---|---|---|
| 1 | Introduction, Standard Template Library (STL) | Chapter 2,4 (main text) |
| 2 | Linked Lists | Chapter 5 |
| 3 | Linked Lists | Chapter 5 |
| 4 | Linked Lists | Chapter 5 |
| 5 | Recursion | Chapter 6 |
| 6 | Stack | Chapter 7 |
| 7 | Stack | Chapter 7 |
| 8 | Queues | Chapter 8 |
| 9 | Queues | Chapter 8 |
| 10 | Searching, Sorting | Chapter 9,10 |
| 11 | Hashing | Chapter 5 |
| 12 | Binary Trees | Chapter 11 |
| 13 | Binary Trees | Chapter 11 |
| 14 | Heap Sort | Chapter 11 |
| 15 | Review | |
| 16 | Review |
Sources
| Course Book | 1. Data Structures Using C++, D.S. Malik, Thomson Course Technology, 1st Edition. |
|---|---|
| Other Sources | 2. Data Structures Using C and C++, Y.Langsam, Prentice-Hall International Inc., 2nd Edition. |
| 3. Data Structures and Algorithm Analysis in C++, M. Weiss, Addison Wesley, 3rd Edition | |
| 4. Practical Data Structures in C++, B. Flamig, John Wiley & Sons, Pap/Dis Edition. | |
| 5. Fundamentals of Data Structures in C++, E. Horowitz, S. Sahni, D. Mehta, Silicon Press, 2nd Edition. | |
| 6. Data Structures and Algorithms in C++, M.T. Goodrich, R.Tamassia, D. M. Mount, Wiley, 2nd Edition. |
Evaluation System
| Requirements | Number | Percentage of Grade |
|---|---|---|
| Attendance/Participation | - | - |
| Laboratory | - | - |
| Application | - | - |
| Field Work | - | - |
| Special Course Internship | - | - |
| Quizzes/Studio Critics | - | - |
| Homework Assignments | - | - |
| Presentation | - | - |
| Project | - | - |
| Report | - | - |
| Seminar | - | - |
| Midterms Exams/Midterms Jury | 2 | 60 |
| Final Exam/Final Jury | 1 | 40 |
| Toplam | 3 | 100 |
| Percentage of Semester Work | 60 |
|---|---|
| Percentage of Final Work | 40 |
| Total | 100 |
Course Category
| Core Courses | |
|---|---|
| Major Area Courses | |
| Supportive Courses | X |
| Media and Managment Skills Courses | |
| Transferable Skill Courses |
The Relation Between Course Learning Competencies and Program Qualifications
| # | Program Qualifications / Competencies | Level of Contribution | ||||
|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | ||
| 1 | Adequate knowledge in mathematics, science and computing fields; ability to apply theoretical and practical knowledge of these fields in solving engineering problems related to information systems. | X | ||||
| 2 | Ability to identify, define, formulate and solve complex engineering problems; selecting and applying proper analysis and modeling techniques for this purpose. | X | ||||
| 3 | Ability to design a complex system, process, device or product under realistic constraints and conditions to meet specific requirements; ability to apply modern design methods for this purpose. | X | ||||
| 4 | Ability to develop, select and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in information systems engineering applications; ability to use information technologies effectively. | X | ||||
| 5 | Ability to gather data, analyze and interpret results for the investigation of complex engineering problems or research topics specific to the information systems discipline. | |||||
| 6 | Ability to work effectively in inter/inner disciplinary teams; ability to work individually. | |||||
| 7 | a. Effective oral and written communication skills in Turkish; ability to write effective reports and comprehend written reports, to prepare design and production reports, to make effective presentations, to give and receive clear and understandable instructions. b. Knowledge of at least one foreign language; ability to write effective reports and comprehend written reports, to prepare design and production reports, to make effective presentations, to give and receive clear and understandable instructions. | |||||
| 8 | Recognition of the need for lifelong learning; the ability to access information and follow recent developments in science and technology with continuous self-development. | |||||
| 9 | a. Ability to behave according to ethical principles, awareness of professional and ethical responsibility. b. Knowledge of the standards utilized in information systems engineering applications. | |||||
| 10 | a. Knowledge on business practices such as project management, risk management and change management. b. Awareness about entrepreneurship, and innovation. c. Knowledge on sustainable development. | |||||
| 11 | a. Knowledge of the effects of information systems engineering applications on the universal and social dimensions of health, environment, and safety. b. Awareness of the legal consequences of engineering solutions. | |||||
ECTS/Workload Table
| Activities | Number | Duration (Hours) | Total Workload |
|---|---|---|---|
| Course Hours (Including Exam Week: 16 x Total Hours) | 16 | 3 | 48 |
| Laboratory | |||
| Application | |||
| Special Course Internship | |||
| Field Work | |||
| Study Hours Out of Class | 16 | 4 | 64 |
| Presentation/Seminar Prepration | |||
| Project | |||
| Report | |||
| Homework Assignments | 3 | 12 | 36 |
| Quizzes/Studio Critics | |||
| Prepration of Midterm Exams/Midterm Jury | 2 | 15 | 30 |
| Prepration of Final Exams/Final Jury | 1 | 20 | 20 |
| Total Workload | 198 | ||