ECTS - Introduction to Data Structures

Introduction to Data Structures (CMPE321) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
Introduction to Data Structures CMPE321 6. Semester 2 2 0 3 5
Pre-requisite Course(s)
CMPE221
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, Question and Answer, Drill and Practice, Team/Group.
Course Coordinator
Course Lecturer(s)
Course Assistants
Course Objectives This course aims to introduce the students a number of popular data structures and algorithms, along with the basic techniques in algorithm analysis.
Course Learning Outcomes The students who succeeded in this course;
  • Understand common data structures and algorithms, and implement them.
  • Analyze the complexities of data structures and algorithms.
  • Choose appropriate data structures and algorithms for problem solving.
Course Content Static and dynamic memory allocation, recursion, algorithms, stacks, queues, linked lists, circular linked lists, trees, binary trees, Hash tables, searching and sorting algorithms.

Weekly Subjects and Releated Preparation Studies

Week Subjects Preparation
1 Introduction, Standard Template Library (STL) Ch 2, 4 (Other Source 5)
2 Pointer Syntax in C++ pp. 15-26
3 Structures pp.26-30
4 Templates: Generic Functions pp. 97-103
5 Templates: Generic Classes pp. 103-112
6 Recursion pp. 265-275
7 Recursion (continued) pp. 275-284
8 Stacks and Queues pp. 537-544
9 Stacks and Queues (continued) pp. 545-551
10 Stacks and Queues (continued) pp. 552-559
11 Linked Lists pp. 565-582
12 Linked Lists (continued) pp. 565-582
13 Trees and Binary Trees pp. 605-622
14 Trees and Binary Trees (continued) pp. 622-633

Sources

Course Book 1. Mark Allen Weiss, “Data Structures and Problem Solving Using C++, 2nd Edition”, Addison Wesley, 2003. ISBN # 0321205006
Other Sources 2. Yedidyah Langsam, Moshe J. Augenstein, and Aaron M. Tenenbaum, “Data Structures Using C and C++”, Prentice-Hall, 1996. ISBN # 0-13-036997-7
3. Absolute C++, W. Savitch, Addison-Wesley
4. Problem Solving with C++: The Object of Programming, W. Savitch, Addison-Wesley
5. C++ Primer, Stanley B. Lippman, Addison-Wesley.
6. Data Structures Using C++, D.S. Malik, Thomson Course Technology, 1st Edition

Evaluation System

Requirements Number Percentage of Grade
Attendance/Participation - -
Laboratory - -
Application - -
Field Work - -
Special Course Internship - -
Quizzes/Studio Critics - -
Homework Assignments 5 10
Presentation - -
Project - -
Report - -
Seminar - -
Midterms Exams/Midterms Jury 2 50
Final Exam/Final Jury 1 40
Toplam 8 100
Percentage of Semester Work 60
Percentage of Final Work 40
Total 100

Course Category

Core Courses X
Major Area Courses
Supportive Courses
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 Acquires skills to use the advanced theoretical and applied knowledge obtained at the mathematics bachelors program to do further academic and scientific research in both mathematics-based graduate programs and public or private sectors.
2 Transplants and applies the theoretical and applicable knowledge gained in their field to the secondary education by using suitable tools and devices.
3 Acquires the skill of choosing, using and improving problem solving techniques which are needed for modeling and solving current problems in mathematics or related fields by using the obtained knowledge and skills.
4 Acquires analytical thinking and uses time effectively in the process of deduction.
5 Acquires basic software knowledge necessary to work in the computer science related fields and together with the skills to use information technologies effectively. X
6 Obtains the ability to collect data, to analyze, interpret and use statistical methods necessary in decision making processes.
7 Acquires the level of knowledge to be able to work in the mathematics and related fields and keeps professional knowledge and skills up-to-date with awareness in the importance of lifelong learning.
8 Takes responsibility in mathematics related areas and has the ability to work affectively either individually or as a member of a team.
9 Has proficiency in English language and has the ability to communicate with colleagues and to follow the innovations in mathematics and related fields.
10 Has the ability to communicate ideas with peers supported by qualitative and quantitative data.
11 Has professional and ethical consciousness and responsibility which takes into account the universal and social dimensions in the process of data collection, interpretation, implementation and declaration of results in mathematics and its applications.

ECTS/Workload Table

Activities Number Duration (Hours) Total Workload
Course Hours (Including Exam Week: 16 x Total Hours) 16 2 32
Laboratory
Application
Special Course Internship
Field Work
Study Hours Out of Class 14 2 28
Presentation/Seminar Prepration
Project
Report
Homework Assignments 5 6 30
Quizzes/Studio Critics
Prepration of Midterm Exams/Midterm Jury 2 12 24
Prepration of Final Exams/Final Jury 1 12 12
Total Workload 126