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Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS YBS 1005 DATA STRUCTURE AND ALGORITHMS COMPULSORY 3 0 0 3

Offered By

Management Information Systems

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

PROFESSOR DOCTOR VAHAP TECIM

Offered to

Management Information Systems

Course Objective

The course aims to train basic data structures and algorithm design with using sample problems and currently used algorithms. Course assignments are supported in this course.

Learning Outcomes of the Course Unit

1   Creating an algorithm with using different data structures. 2   Storing and grouping data stacks with using linked lists 3   Searching data by sorting

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description 1 Basic Concepts of Computer Science 2 Data Structures I 3 Data Structures II 4 Data Models 5 Algorithmic Design: Flowcharts I 6 Algorithmic Design: Flowcharts II 7 Algorithmic Design: Pseudo Coding 8 Sorting Algorithms 9 Search Algorithms 10 Linked Lists 11 Stack and Queue Structure 12 Tree Data Model 13 State Machine 14 Recursive Algorithms

Recomended or Required Reading

Main textbook: Algoritma Geliştirme Veri Yapıları Toros Rıfat Çölkesen Help book: Algoritma Geliştirmeve Programlamaya Giriş Fahri Vatansever

Planned Learning Activities and Teaching Methods

Students will undergo two exams, one mid-term and one final.

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA 1 MTE MIDTERM EXAM 2 MTEG MIDTERM GRADE MTEG * 1 3 FIN FINAL EXAM 4 FCGR FINAL COURSE GRADE MTEG * 0.40 + FIN * 0.60 5 RST RESIT 6 FCGR FINAL COURSE GRADE (RESIT) MTEG * 0.40 + RST * 0.60

Further Notes About Assessment Methods

None

Assessment Criteria

Activities are given in detail in the 'Evaluation Methods' and 'Workload Calculation' sections.

Language of Instruction

Turkish

Course Policies and Rules

The rules applied by the department are valid.

Contact Details for the Lecturer(s)

kutan.koruyan@deu.edu.tr

Office Hours

It will be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours) Lectures 14 3 42 Preparations before/after weekly lectures 14 1 14 Preparation for midterm exam 1 8 8 Preparation for final exam 1 9 9 Final 1 1 1 Midterm 1 1 1 TOTAL WORKLOAD (hours) 75

Contribution of Learning Outcomes to Programme Outcomes

PO/LO PO.1 PO.2 PO.3 PO.4 PO.5 PO.6 PO.7 PO.8 PO.9 PO.10 PO.11 PO.12 PO.13 LO.1 5 5 5 5 5 LO.2 5 5 5 5 5 LO.3 5 5 5