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Information
| Code | CEN213 |
| Name | Data Structures |
| Term | 2023-2024 Academic Year |
| Semester | 3. Semester |
| Duration (T+A) | 3-0 (T-A) (17 Week) |
| ECTS | 5 ECTS |
| National Credit | 3 National Credit |
| Teaching Language | İngilizce |
| Level | Lisans Dersi |
| Type | Normal |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator | Prof. Dr. SELMA AYŞE ÖZEL |
| Course Instructor |
Dr. Öğr. Üyesi SERKAN KARTAL
(A Group)
(Ins. in Charge)
|
Course Goal / Objective
To understand basic data structures and to be able to apply them for problem solving
Course Content
Analysis of running time and memory requirements of data structures and algorithms, linked list, stack, queue, tree, graph data structures and their applications
Course Precondition
Basic C programming knowledge is required.
Resources
WEISS M.A., DATA STRUCTURES ALGORITHM ANALYSIS IN C++, Addison Wesley, 1999.
Notes
Other sources about C and C++
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Gains the ability to analyze the data structures and algorithms for runtime and memory requirements. |
| LO02 | Understands linked lists, stack, queue, tree and graph data structures, and their array and pointer based programming. |
| LO03 | Gains ability to decide which data structure and model should be used to solve real life problems in the most efficient way. |
| LO04 | Applies the most suitable data structure to solve real life problems. |
Relation with Program Learning Outcome
| Order | Type | Program Learning Outcomes | Level |
|---|---|---|---|
| PLO01 | Bilgi - Kuramsal, Olgusal | Has capability in the fields of mathematics, science and computer that form the foundations of engineering | 3 |
| PLO02 | Bilgi - Kuramsal, Olgusal | Identifies, formulates, and solves engineering problems, selects and applies appropriate analytical methods and modeling techniques, | 4 |
| PLO03 | Bilgi - Kuramsal, Olgusal | Analyzes a system, its component, or process and designs under realistic constraints to meet the desired requirements,gains the ability to apply the methods of modern design accordingly. | |
| PLO04 | Bilgi - Kuramsal, Olgusal | Ability to use modern techniques and tools necessary for engineering practice and information technologies effectively. | |
| PLO05 | Bilgi - Kuramsal, Olgusal | Ability to design and to conduct experiments, to collect data, to analyze and to interpret results | 2 |
| PLO06 | Bilgi - Kuramsal, Olgusal | Has ability to work effectively as an individual and in multi-disciplinary teams, take sresponsibility and builds self-confidence | |
| PLO07 | Beceriler - Bilişsel, Uygulamalı | Can access information,gains the ability to do resource research and uses information resources | 4 |
| PLO08 | Beceriler - Bilişsel, Uygulamalı | Awareness of the requirement of lifelong learning, to follow developments in science and technology and continuous self-renewal ability | 3 |
| PLO09 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Ability to communicate effectively orally and in writing, and to read and understand technical publications in at least one foreign language | 2 |
| PLO10 | Yetkinlikler - Öğrenme Yetkinliği | Professional and ethical responsibility, | |
| PLO11 | Yetkinlikler - Öğrenme Yetkinliği | Awareness about project management, workplace practices, employee health, environmental and occupational safety, and the legal implications of engineering applications, | |
| PLO12 | Yetkinlikler - Öğrenme Yetkinliği | Becomes aware of universal and social effects of engineering solutions and applications, entrepreneurship and innovation, and knowledge of contemporary issues |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Explaining data structure and data model concepts, giving examples | Reading of course notes | Öğretim Yöntemleri: Anlatım, Gösterip Yaptırma |
| 2 | Program execution speed and memory requirement calculation methods | Reading of course notes | Öğretim Yöntemleri: Anlatım, Gösterip Yaptırma |
| 3 | Application of program execution speed and memory requirement calculation methods with sample programs | Reading of course notes, homework | Öğretim Yöntemleri: Anlatım, Gösterip Yaptırma |
| 4 | Insertion sort, selection sort, bubble sort algorithms and their comparison | Reading of course notes | Öğretim Yöntemleri: Anlatım, Gösterip Yaptırma |
| 5 | Merge sort, heap sort, quick sort algorithms and comparison of all sorting algorithms | Reading of course notes, homework | Öğretim Yöntemleri: Anlatım, Gösterip Yaptırma |
| 6 | Sequential Search and Binary Search algorithms, analysis and applications | Reading of course notes | Öğretim Yöntemleri: Anlatım, Gösterip Yaptırma |
| 7 | Hash search algorithms, analysis, and applications | Reading of course notes, homework | Öğretim Yöntemleri: Anlatım, Gösterip Yaptırma |
| 8 | Mid-Term Exam | Reading of course notes | Ölçme Yöntemleri: Yazılı Sınav |
| 9 | Single and bidirectional linked lists and applications | Reading of course notes, homework | Öğretim Yöntemleri: Anlatım, Gösterip Yaptırma |
| 10 | Stack Data Structure and its applications | Reading of course notes | Öğretim Yöntemleri: Anlatım, Gösterip Yaptırma |
| 11 | Queue Data Structure and its applications | Reading of course notes, homework | Öğretim Yöntemleri: Anlatım, Gösterip Yaptırma |
| 12 | Identification of the Tree Data Model | Reading of course notes | Öğretim Yöntemleri: Anlatım, Gösterip Yaptırma |
| 13 | Binary Tree, Expression Tree, Heap Tree, Coding Trees and applications | Reading of course notes, homework | Öğretim Yöntemleri: Anlatım, Gösterip Yaptırma |
| 14 | Defining the chart data model | Reading of course notes | Öğretim Yöntemleri: Anlatım, Gösterip Yaptırma |
| 15 | Using the graph data structure | Reading of course notes | Öğretim Yöntemleri: Anlatım, Gösterip Yaptırma |
| 16 | Preparation to the final exam | Reading of course notes | Öğretim Yöntemleri: Soru-Cevap |
| 17 | Final Exam | Reading of course notes | Ölçme Yöntemleri: Yazılı Sınav |
Student Workload - ECTS
| Works | Number | Time (Hour) | Workload (Hour) |
|---|---|---|---|
| Course Related Works | |||
| Class Time (Exam weeks are excluded) | 14 | 3 | 42 |
| Out of Class Study (Preliminary Work, Practice) | 14 | 3 | 42 |
| Assesment Related Works | |||
| Homeworks, Projects, Others | 0 | 0 | 0 |
| Mid-term Exams (Written, Oral, etc.) | 1 | 12 | 12 |
| Final Exam | 1 | 18 | 18 |
| Total Workload (Hour) | 114 | ||
| Total Workload / 25 (h) | 4,56 | ||
| ECTS | 5 ECTS | ||