Nevşehir Hacı Bektaş Veli University Course Catalogue

Information Of Programmes

VOCATIONAL SCHOOL OF NEVŞEHİR / BİL122 - COMPUTER PROGRAMMING

Code: BİL122 Course Title: DATA STRUCTURES AND ALGORITHM Theoretical+Practice: 2+0 ECTS: 3
Year/Semester of Study 1 / Spring Semester
Level of Course Short Cycle Degree Programme
Type of Course Optional
Department COMPUTER PROGRAMMING
Pre-requisities and Co-requisites None
Mode of Delivery Face to Face
Teaching Period 14 Weeks
Name of Lecturer FETHULLAH MUSTAFA AKALP (fmakalp@nevsehir.edu.tr)
Name of Lecturer(s)
Language of Instruction Turkish
Work Placement(s) None
Objectives of the Course
The main objective of this course is to provide students with knowledge on problem-solving and experience in the design and implementation of discrete data structures commonly employed in computer science and computational problems.

Learning Outcomes PO MME
The students who succeeded in this course:
LO-1 Can analyze algorithms or computer code for correctness PO-
Examination
LO-2 Can list the most important data structures PO-
Examination
LO-3 Can knows how to use data structures to solve problems. PO-
Examination
PO: Programme Outcomes
MME:Method of measurement & Evaluation

Course Contents
Working principle of RAM, Basic data types, Constants and Variables, One-dimensional arrays, Multi-dimensional arrays, Algorithm concept, Use of algorithms in solving problems, Beginning, ending and operations in algorithms, Decisions in algorithms, Loops in algorithms
Weekly Course Content
Week Subject Learning Activities and Teaching Methods
1 Introducing the course and content Lecture Method, Discussion Method, Problem Solving Method, Question Answer, Observation
2 Working principle of RAM Lecture Method, Discussion Method, Problem Solving Method, Question Answer, Observation
3 Basic data Types Lecture Method, Discussion Method, Problem Solving Method, Question Answer, Observation
4 Constants and Variables Lecture Method, Discussion Method, Problem Solving Method, Question Answer, Observation
5 Variables Lecture Method, Discussion Method, Problem Solving Method, Question Answer, Observation
6 one-dimensional arrays Lecture Method, Discussion Method, Problem Solving Method, Question Answer, Observation
7 multidimensional arrays Lecture Method, Discussion Method, Problem Solving Method, Question Answer, Observation
8 mid-term exam
9 The concept of algorithm Lecture Method, Discussion Method, Problem Solving Method, Question Answer, Observation
10 The use of algorithms in solving problems Lecture Method, Discussion Method, Problem Solving Method, Question Answer, Observation
11 Beginning, ending and operations in algorithms Lecture Method, Discussion Method, Problem Solving Method, Question Answer, Observation
12 Decisions in algorithms Lecture Method, Discussion Method, Problem Solving Method, Question Answer, Observation
13 Loops in algorithm Lecture Method, Discussion Method, Problem Solving Method, Question Answer, Observation
14 Loops in algorithm Lecture Method, Discussion Method, Problem Solving Method, Question Answer, Observation
15 Genel değerlendirme ve eksiklerin giderilmesi Lecture Method, Discussion Method, Problem Solving Method, Question Answer, Observation
16 final exam
Recommend Course Book / Supplementary Book/Reading
1 Çobanoğlu, B. (2006). Algoritma Geliştirme ve Veri Yapıları. İstanbul: Pusula Yayıncılık.
2 Çölgeçen, T. F. (2021). Veri Yapıları ve Algoritmalar. İstanbul: Papatya Yayıncılık.
3 https://www.btkakademi.gov.tr/portal/course/algoritma-programlama-ve-veri-yapilarina-giris-12565
4 https://www.fatihmarasli.com/wp-content/uploads/2018/02/t%C3%BCm.pdf
Required Course instruments and materials
Projectors,computer hardware parts, auxiliary textbook

Assessment Methods
Type of Assessment Week Hours Weight(%)
mid-term exam 8 1 40
Other assessment methods
1.Oral Examination
2.Quiz
3.Laboratory exam
4.Presentation
5.Report
6.Workshop
7.Performance Project
8.Term Paper
9.Project
final exam 16 1 60

Student Work Load
Type of Work Weekly Hours Number of Weeks Work Load
Weekly Course Hours (Theoretical+Practice) 2 14 28
Outside Class
       a) Reading 2 14 28
       b) Search in internet/Library 2 8 16
       c) Performance Project 0
       d) Prepare a workshop/Presentation/Report 1 3 3
       e) Term paper/Project 0
Oral Examination 0
Quiz 0
Laboratory exam 0
Own study for mid-term exam 1 7 7
mid-term exam 1 1 1
Own study for final exam 1 7 7
final exam 1 0
0
0
Total work load; 90