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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 list data types and appropriate variables. |
PO-1 Has basic, current, and practical knowledge related to his/her profession PO-3 Follows current developments and practices for his/her profession and uses them effectively PO-5 Has the ability to independently evaluate professional problems and issues with an analytical and critical approach and to propose solutions PO-6 Effectively presents thoughts at the level of knowledge and skills through written and verbal communication and understandably expresses him/her PO-11 Creates algorithms and data structures and performs mathematical calculations |
Examination |
LO-2 | can define variables |
PO-1 Has basic, current, and practical knowledge related to his/her profession PO-3 Follows current developments and practices for his/her profession and uses them effectively PO-5 Has the ability to independently evaluate professional problems and issues with an analytical and critical approach and to propose solutions PO-6 Effectively presents thoughts at the level of knowledge and skills through written and verbal communication and understandably expresses him/her PO-11 Creates algorithms and data structures and performs mathematical calculations |
Examination |
LO-3 | can design algorithms |
PO-1 Has basic, current, and practical knowledge related to his/her profession PO-3 Follows current developments and practices for his/her profession and uses them effectively PO-5 Has the ability to independently evaluate professional problems and issues with an analytical and critical approach and to propose solutions PO-6 Effectively presents thoughts at the level of knowledge and skills through written and verbal communication and understandably expresses him/her PO-11 Creates algorithms and data structures and performs mathematical calculations |
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 |