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Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS YBS 7067 SOFTWARE DEVELOPMENT ELECTIVE 3 0 0 8

Offered By

MANAGEMENT INFORMATION SYSTEM NON-THESIS (EVENING)

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

PROFESSOR VAHAP TECIM

Offered to

MANAGEMENT INFORMATION SYSTEM NON-THESIS (EVENING)

Course Objective

Students will gain competency to define a problem to be solved, to develop solution strategy, to apply the strategy, and to assess the quality and reliability of the production.

Learning Outcomes of the Course Unit

1   To be able to define the problem to be solved by software. 2   To be able to design realization steps of a software project. 3   To be able to use data abstraction. 4   To be able to apply software development methods to problem solving. 5   To be able to assess the methods, the tools, and the technology critically.

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description 1 Introduction: Programming Languages 2 Intro to Python, variables, expressions, 3 Basic algorithms and functions 4 Comparison, recursion 5 Loops 6 Strings, Lists 7 Dictionaries, Tuples 8 Mid-term exam Files exception handling 9 Search ans sort algorithms 10 Object oriented programming I 11 Object oriented programming 12 Visualization 13 Statistical Applications 14 Graphical Interface Applications

Recomended or Required Reading

Downey, A. B., 2012. Think Python. O'Reilly Media Inc., Sebastapol, 296 sayfa.

Planned Learning Activities and Teaching Methods

Details of activities are given in "assessment methods" and "workload computation" sections.

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA 1 MTE MIDTERM EXAM 2 STT TERM WORK (SEMESTER) 3 FIN FINAL EXAM 4 FCG FINAL COURSE GRADE MTE * 0.40 + STT * 0.20 + FIN * 0.40 5 RST RESIT 6 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.40 + STT * 0.20 + RST * 0.40 *** Resit Exam is Not Administered in Institutions Where Resit is not Applicable.

Further Notes About Assessment Methods

None

Assessment Criteria

To be announced.

Language of Instruction

Turkish

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

Dr. M. Güven Koçak Dept. of Management Information Systems DEÜ Dokuzçeşmeler Kampüsü Buca 35400 Izmir E-mail: guven.kocak at deu.edu.tr Phone: 232-301 0760

Office Hours

On course day: 0900-1700

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours) Lectures 14 3 42 Preparations before/after weekly lectures 13 5 65 Preparation for midterm exam 1 8 8 Preparation for final exam 1 8 8 Preparing assignments 2 12 24 Preparing assignments 2 24 48 Midterm 1 3 3 Final 1 3 3 TOTAL WORKLOAD (hours) 201

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