Data Structures (MATH347) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
Data Structures MATH347 5. Semester 2 2 0 3 5
Pre-requisite Course(s)
MATH 247 Introduction to Object Oriented Programming
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 Templates: Generic Functions pp. 97-103
2 Templates : Generic Classes pp. 103-112
3 Pointer Syntax in C++ pp. 15-26
4 Structures pp.26-30
5 Recursion pp. 265-275
6 Recursion (continued) pp. 275-284
7 Stacks and Queues pp. 537-548
8 Stacks and Queues (continued) pp. 548-559
9 Linked Lists pp. 565-582
10 Linked Lists(continued) pp. 565-582
11 Trees and Binary Trees pp. 605-622
12 Trees and Binary Trees (continued) pp. 622-633
13 Hash Tables pp. 725-735
14 Hash Tables (continued) pp. 735-747
15 Review
16 Final Exam

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.

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 Has the ability to apply scientific knowledge gained in the undergraduate education and to expand and extend knowledge in the same or in a different area X
2 Can apply gained knowledge and problem solving abilities in inter-disciplinary research X
3 Has the ability to work independently within research area, to state the problem, to develop solution techniques, to solve the problem, to evaluate the obtained results and to apply them when necessary X
4 Takes responsibility individually and as a team member to improve systematic approaches to produce solutions in unexpected complicated situations related to the area of study X
5 Can develop strategies, implement plans and principles on the area of study and can evaluate obtained results within the framework X
6 Can develop and extend the knowledge in the area and to use them with scientific, social and ethical responsibility X
7 Has the ability to follow recent developments within the area of research, to support research with scientific arguments and data, to communicate the information on the area of expertise in a systematically by means of written report and oral/visual presentation X
8 To have an oral and written communication ability in at least one of the common foreign languages ("European Language Portfolio Global Scale", Level B2) X
9 Has software and hardware knowledge in the area of expertise, and has proficient information and communication technology knowledge X
10 Follows scientific, cultural, and ethical criteria in collecting, interpreting and announcing data in the research area and has the ability to teach. X
11 Has professional 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. X

ECTS/Workload Table

Activities Number Duration (Hours) Total Workload
Course Hours (Including Exam Week: 16 x Total Hours)
Laboratory 16 2 32
Application
Special Course Internship
Field Work
Study Hours Out of Class 14 3 42
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 18 18
Total Workload 146