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DATA STRUCTURES AND DATA ORGANIZATION

Course
CMPE242 - DATA STRUCTURES AND DATA ORGANIZATION
Department
Computer Engineering - English - Undergraduate
Course Type
Course
Status
Required
Language
English
Credit
4
ECTS
7
T+P+L
3 + 0 + 2
Course Coordinator(s)
Dr. Inst. Basmah ANBER
Prerequisite
Keywords

Course Description

The objective of this course is to provide the basics of data structures and data organization. The course will introduce C/C++ and algorithms for the implementation of data structures which are stack, queue, linked list, tree. Also, the applications of data structures covering stack applications which are paranthesis checker, infix to postfix and prefix conversions, recursion, dynamic stack and queue, tree traversals. Linked lists with their types and implementations are also studied in details. Theoretical aspects of most widely used data structures will be covered during the lectures. Programming assignments and labworks cover the C/C++ implementations of applications of data structures that are discussed in the lectures.

DATA STRUCTURES AND DATA ORGANIZATION

Evaluation Tools (Active Term)

Item Type Weight (%)
Midterm Midterm 35
Final Final 45
Assignment Lab Assignment 10
Quiz Lab Quiz 10
Total 100

Course outcomes

  1. 01 Problem solving using linear data structures: Stack applications
  2. 02 Examine and explain the working principles of the linear data structures: Stack and Queue
  3. 03 Implement the basic linear data structures: Stack and Queue
  4. 04 Examine and implement the dynamic data structures: Linked List
  5. 05 Examine and implement the hierarchical data structures: Tree

Course Syllabus

Week Topic
Week 1 Overview of C and C++ Programming Language
Week 2 Structures
Week 3 Stacks
Week 4 Stacks Applications
Week 5 Recursion
Week 6 Queues
Week 7 Queues
Week 8 MID-TERM EXAM WEEK
Week 9 MID-TERM EXAM WEEK
Week 10 Linked List
Week 11 Linked List
Week 12 Trees
Week 13 Trees
Week 14 FINAL EXAM WEEK
Week 15 FINAL EXAM WEEK

Reference Books & Course Materials

  1. 01 Jeffrey Childs, C++: Classes and Data Structures, Prentice Hall, 2007.
  2. 02 Langsam Y., Augenstein M., Tenenbaum A. Data Structures Using C and C++, 2nd ed., Prentice Hall Int. 1996.

Learning Outcomes

No learning outcomes have been defined.

Program Outcomes

  1. P01 Adequate knowledge in mathematics, science and engineering subjects pertaining to the relevant discipline; ability to use theoretical and applied knowledge in these areas in complex engineering problems.
  2. P02 Ability to identify, formulate, and solve complex engineering problems; ability to select and apply proper analysis and modelling methods for this purpose.
  3. P03 Ability to design a complex system, process, device or product under realistic constraints and conditions, in such a way as to meet the desired result; ability to apply modern design methods for this purpose.
  4. P04 Ability to devise, select, and use modern techniques and tools needed for analysing and solving complex problems encountered in engineering practice; ability to employ information technologies effectively
  5. P05 Ability to design and conduct experiments, gather data, analyse and interpret results for investigating complex engineering problems or discipline specific research questions.
  6. P06 Ability to work efficiently in intra-disciplinary and multi-disciplinary teams; ability to work individually.
  7. P07 Ability to communicate effectively in Turkish, both orally and in writing; knowledge of a minimum of one foreign language; ability to write effective reports and comprehend written reports, prepare design and production reports, make effective presentations, and give and receive clear and intelligible instructions.
  8. P08 Recognition of the need for lifelong learning ; ability to access information, to follow developments in science and technology, and to continue to educate him/herself.
  9. P09 Consciousness to behave according to ethical principles and professional and ethical responsibility; knowledge on standards used in engineering practice.
  10. P10 Knowledge about business life practices such as project management, risk management, and change management; awareness in entrepreneurship, innovation; knowledge about sustainable development.
  11. P11 Knowledge about the global and social effects of engineering practices on health, environment, and safety, and contemporary issues of the century reflected into the field of engineering; awareness of the legal consequences of engineering solutions.

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