CEN215 Data Structures Lab.

2 ECTS - 0-2 Duration (T+A)- 3. Semester- 1 National Credit

Information

Unit FACULTY OF ENGINEERING
COMPUTER ENGINEERING PR. (ENGLISH)
Code CEN215
Name Data Structures Lab.
Term 2019-2020 Academic Year
Semester 3. Semester
Duration (T+A) 0-2 (T-A) (17 Week)
ECTS 2 ECTS
National Credit 1 National Credit
Teaching Language İngilizce
Level Lisans Dersi
Type Normal
Label C Compulsory
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Prof. Dr. SELMA AYŞE ÖZEL
Course Instructor Yılmaz ATAY (Güz) (A Group) (Ins. in Charge)
Yılmaz ATAY (Güz) (B Group) (Ins. in Charge)


Course Goal / Objective

Application of basic data structures designed to store and retrieve information in computer memory

Course Content

Data concept and data types, Lists, linked lists, queues, stacks, binary trees, compression algorithms, sorting algorithms, search algorithms and their applications

Course Precondition

Resources

Notes



Course Learning Outcomes

Order Course Learning Outcomes
LO01 Designing data structure
LO02 Select the appropriate data structure
LO03 Comparison of algorithms
LO04 Data abstraction ability
LO05 Writing more efficient programs


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 - Has capability in the fields of mathematics, science and computer that form the foundations of engineering 5
PLO02 - Identifies, formulates, and solves engineering problems, selects and applies appropriate analytical methods and modeling techniques, 3
PLO03 - 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. 5
PLO04 - Ability to use modern techniques and tools necessary for engineering practice and information technologies effectively. 4
PLO05 - Ability to design and to conduct experiments, to collect data, to analyze and to interpret results 3
PLO06 - Has ability to work effectively as an individual and in multi-disciplinary teams, take sresponsibility and builds self-confidence 3
PLO07 - Can access information,gains the ability to do resource research and uses information resources 4
PLO08 - Awareness of the requirement of lifelong learning, to follow developments in science and technology and continuous self-renewal ability 2
PLO09 - Ability to communicate effectively orally and in writing, and to read and understand technical publications in at least one foreign language 3
PLO10 - Professional and ethical responsibility, 1
PLO11 - Awareness about project management, workplace practices, employee health, environmental and occupational safety, and the legal implications of engineering applications, 3
PLO12 - Becomes aware of universal and social effects of engineering solutions and applications, entrepreneurship and innovation, and knowledge of contemporary issues 3


Week Plan

Week Topic Preparation Methods
1 Basic data types and data concept None
2 Recursion concept Reading the lecture notes
3 List data structure and applications Reading the lecture notes
4 Linked list, bidirectional lists, one way linked lists Reading the lecture notes
5 Stack data structure and applications Reading the lecture notes
6 Queuing data structure and applications Reading the lecture notes
7 Priority queue and heap tree Reading the lecture notes
8 Mid-Term Exam Reading the lecture notes
9 Binary search trees Reading the lecture notes
10 Data compression algorithms Reading the lecture notes
11 Sorting methods Reading the lecture notes
12 Sorting methods Reading the lecture notes
13 Search methods Reading the lecture notes
14 Search methods Reading the lecture notes
15 Final Exam Reading the lecture notes
16 Term Exams Reading the lecture notes
17 Term Exams Reading the lecture notes


Assessment (Exam) Methods and Criteria

Assessment Type Midterm / Year Impact End of Term / End of Year Impact
1. Midterm Exam 100 40
General Assessment
Midterm / Year Total 100 40
1. Final Exam - 60
Grand Total - 100


Student Workload - ECTS

Works Number Time (Hour) Workload (Hour)
Course Related Works
Class Time (Exam weeks are excluded) 14 2 28
Out of Class Study (Preliminary Work, Practice) 14 1 14
Assesment Related Works
Homeworks, Projects, Others 0 0 0
Mid-term Exams (Written, Oral, etc.) 1 4 4
Final Exam 1 8 8
Total Workload (Hour) 54
Total Workload / 25 (h) 2,16
ECTS 2 ECTS

Update Time: 29.04.2025 12:46