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Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS EEL 4118 ALGORITHMS ELECTIVE 2 0 0 3

Offered By

Electronics Technology

Level of Course Unit

Short Cycle Programmes (Associate's Degree)

Course Coordinator

DOCTOR SINEM ÖLMEZ

Offered to

Electronics Technology Electronics Technology (Evening)

Course Objective

In this course, it is aimed to get qualifiedness about algorithms.

Learning Outcomes of the Course Unit

1   Be able to design program flow 2   Be able to explain condition term in program 3   Be able to understand operations of series 4   Be able to write loops 5   Be able to define variables and constants

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description 1 Algortihm 2 Flow chart 3 Variables and constants 4 Variables and constants 5 Input-output operations 6 Condition terms 7 Condition terms 8 Midterm Exam 9 Condition terms 10 Condition terms 11 Loops 12 Loops 13 Series 14 Series 15 Series

Recomended or Required Reading

1. Algoritma ve programlamaya giriş, Ebubekir Yaşar, 2011, Murathan Yayınevi 2. Programlamaya giriş ve algoritmalar, Soner Çelikkol, 2011, Murathan Yayınevi

Planned Learning Activities and Teaching Methods

1. Lectruing 2. Question - Answer

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA 1 MTE MIDTERM EXAM 2 FN Final 3 FCG FINAL COURSE GRADE VZ*0.40 + FN* 0.60 4 RST RESIT 5 FCGR FINAL COURSE GRADE (RESIT) VZ*0.40 + BUT* 0.60 *** Resit Exam is Not Administered in Institutions Where Resit is not Applicable.

Further Notes About Assessment Methods

None

Assessment Criteria

Learning outcomes will be evaluated with midterm and final exam.

Language of Instruction

Turkish

Course Policies and Rules

It is compulsory to attend at least % 70 of the course. Every acts of cheating will be resulted with disciplinary investigation.

Contact Details for the Lecturer(s)

sinem.olmez@deu.edu.tr

Office Hours

The appropriate office hours will be announced in the semester.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours) Lectures 14 2 28 Preparations before/after weekly lectures 14 2 28 Preparation for midterm exam 1 8 8 Preparation for final exam 1 16 16 Midterm 1 1 1 Final 1 1 1 TOTAL WORKLOAD (hours) 82

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 LO.1 1 1 1 1 1 1 1 1 1 1 LO.2 1 1 1 1 1 1 1 1 1 LO.3 1 1 1 1 1 1 1 1 1 LO.4 1 1 1 1 1 1 1 1 1 LO.5 1 1 1 1 1 1 1 1 1 1