IBT109 Data Structures and Programming

4 ECTS - 3-1 Duration (T+A)- 1. Semester- 3.5 National Credit

Information

Code IBT109
Name Data Structures and Programming
Term 2022-2023 Academic Year
Semester 1. Semester
Duration (T+A) 3-1 (T-A) (17 Week)
ECTS 4 ECTS
National Credit 3.5 National Credit
Teaching Language Türkçe
Level Ön Lisans Dersi
Type Normal
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Doç. Dr. TAMER DOĞAN
Course Instructor Doç. Dr. TAMER DOĞAN (A Group) (Ins. in Charge)


Course Goal / Objective

Having knowledge about programming

Course Content

User Definition type Files, Pointers, Recursion, Queueing, Searching, Libraries, Interrupts, Use of Port, C Programming

Course Precondition

There is no prerequisite.

Resources

Veri Yapıları ve Algoritmalar, Rıfat Çölkesen, Papatya Yayıncılık; C ve C++ Deitel&Deitel

Notes

Veri Yapıları ve Algoritmalar / Bilgisayar Yazılımında Beta Basım Yayın


Course Learning Outcomes

Order Course Learning Outcomes
LO01 To have enough knowledge of the field.
LO02 Taking responsibility in individual and group work.
LO03 Having self-regulation skills
LO04 Gains the ability to analyze runtime and memory requirements of data structures and algorithms.
LO05 To learn linked lists, stack, queue, tree and graph data structures, array and pointer based programming of these data structures and apply these data structures to real life problems.
LO06 Can decide which data structure and model should be used in order to solve real life problems in the most effective way and apply this data structure.


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 Bilgi - Kuramsal, Olgusal Be fully equipped in computer hardware and information processing technologies.
PLO02 Bilgi - Kuramsal, Olgusal Know current technologies and associate them with different disciplines.
PLO03 Bilgi - Kuramsal, Olgusal Have sufficient field knowledge. 4
PLO04 Bilgi - Kuramsal, Olgusal Have sufficient knowledge about teaching strategies, methods and techniques related to the field. 4
PLO05 Bilgi - Kuramsal, Olgusal Able to communicate well with colleagues and surroundings.
PLO06 Bilgi - Kuramsal, Olgusal Takes responsibility in individual and group work. 4
PLO07 Bilgi - Kuramsal, Olgusal Have self-regulation skills. 4
PLO08 Bilgi - Kuramsal, Olgusal Specializing in the field of computer, it provides rational and fast access to the solution thanks to its problem-solving skills. 4
PLO09 Bilgi - Kuramsal, Olgusal Query the information in the field of computing using scientific methods.
PLO10 Bilgi - Kuramsal, Olgusal It provides solutions to computer problems in an equipped and effective manner.
PLO11 Bilgi - Kuramsal, Olgusal Apply modern methods and techniques by following new technological developments.
PLO12 Bilgi - Kuramsal, Olgusal Takes responsibility individually and as a team member in solving problems related to her/his field. 5
PLO13 Beceriler - Bilişsel, Uygulamalı Have the awareness of lifelong learning. 4
PLO14 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği He/she shares his/her knowledge and skills in his/her field, identified problems and solution suggestions with experts and non-experts through verbal and written communication.
PLO15 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Uses information and communication technologies effectively.
PLO16 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Uses enough to follow the developments in the field of computer.
PLO17 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği In addition to professional development, it constantly improves itself in line with the need for learning in scientific, social, cultural and sports fields for personal development.
PLO18 Yetkinlikler - Öğrenme Yetkinliği Have national and universal sensitivities expressed in the Basic Law of National Education.
PLO19 Yetkinlikler - Öğrenme Yetkinliği It acts in accordance with democracy, human rights, social, scientific and professional ethical values.


Week Plan

Week Topic Preparation Methods
1 Introduction to structured programming Research Öğretim Yöntemleri:
Anlatım
2 Data type definitions for specific purposes Research Öğretim Yöntemleri:
Anlatım
3 Compiling simple C programs, Arithmetic operations Research Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama, Problem Çözme
4 Pseudocodes, loop structures Research Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
5 Sentry Controlled Loops, slotted control structures Research Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
6 Fundamentals of Loops, Loop Structures Research Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
7 Logic Operators Research Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama, Problem Çözme
8 Midterm exam Exam Ölçme Yöntemleri:
Yazılı Sınav
9 Equality and Assignment Operators Research Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
10 Functions, Header Files Research Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama, Problem Çözme
11 Iteration, Arrays One-Dimensional Multi-Dimensional Research Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
12 Search Algorithms Research Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
13 Linked lists and Applications Research Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
14 Control Library Research Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama, Problem Çözme
15 Project work Research Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama, Problem Çözme
16 Term exam Exam Ölçme Yöntemleri:
Yazılı Sınav
17 Term exam Exam Ölçme Yöntemleri:
Yazılı Sınav


Student Workload - ECTS

Works Number Time (Hour) Workload (Hour)
Course Related Works
Class Time (Exam weeks are excluded) 14 4 56
Out of Class Study (Preliminary Work, Practice) 14 2 28
Assesment Related Works
Homeworks, Projects, Others 0 0 0
Mid-term Exams (Written, Oral, etc.) 1 8 8
Final Exam 1 16 16
Total Workload (Hour) 108
Total Workload / 25 (h) 4,32
ECTS 4 ECTS

Update Time: 17.11.2022 11:01