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Course Details
KTO KARATAY UNIVERSITY
Mühendislik ve Doğa Bilimleri Fakültesi
Programme of Computer Engineering
Course Details
Course Code Course Name Year Period Semester T+A+L Credit ECTS
05051010 Software Lab I 3 Autumn 5 3+0+0 3 5
Course Type Elective
Course Cycle Bachelor's (First Cycle) (TQF-HE: Level 6 / QF-EHEA: Level 1 / EQF-LLL: Level 6)
Course Language Turkish
Methods and Techniques Programs
Mode of Delivery Face to Face
Prerequisites None
Coordinator -
Instructor(s) Asst. Prof. Nurten URLU ÖZALAN
Instructor Assistant(s) -
Course Instructor(s)
Name and Surname Room E-Mail Address Internal Meeting Hours
Asst. Prof. Nurten URLU ÖZALAN A-128 [email protected] 7880 Wednesday
9.20-10.00
Course Content
Öğrenci ve öğretim üyesi tarafında seçilen bir konu.
Objectives of the Course
to perform a software project throughout the semester
Contribution of the Course to Field Teaching
Basic Vocational Courses
Specialization / Field Courses
Support Courses X
Transferable Skills Courses
Humanities, Communication and Management Skills Courses
Relationships between Course Learning Outcomes and Program Outcomes
Relationship Levels
Lowest Low Medium High Highest
1 2 3 4 5
# Program Learning Outcomes Level
P4 Ability to develop, select and use modern techniques and tools for the analysis and solution of complex problems encountered in engineering applications; ability to use information technologies effectively 4
P9 To act in accordance with ethical principles, professional and ethical responsibility; Information on the standards used in engineering applications 4
P11 Knowledge of the effects of engineering practices on health, environment and safety in the universal and social dimensions and the problems of the era in engineering; awareness of the legal consequences of engineering solutions 5
Course Learning Outcomes
Upon the successful completion of this course, students will be able to:
No Learning Outcomes Outcome Relationship Measurement Method **
O1 Knows numerical calculations and analysis P.1.5
O2 Knowledge of algorithm design and analysis techniques. P.2.5
O3 Knowledge and use of software development platforms. P.3.5
O4 Algorithm P.2.23
** Written Exam: 1, Oral Exam: 2, Homework: 3, Lab./Exam: 4, Seminar/Presentation: 5, Term Paper: 6, Application: 7
Weekly Detailed Course Contents
Week Topics
1 Software Processes I
2 Software Processes II
3 Software Processes III
4 Agile Software Development
5 Project Meeting and Database
6 Project Meeting and Database
7 System Modeling
8 System Modeling
9 Midterm
10 Project Meeting and Joint Software Development
11 Project Meeting and Joint Software Development
12 Project Presentations
13 Project Presentations
14 Final
Textbook or Material
Resources Lecture Notes
Evaluation Method and Passing Criteria
In-Term Studies Quantity Percentage
Attendance - -
Laboratory - -
Practice - -
Course Specific Internship (If Any) - -
Homework - -
Presentation - -
Projects - -
Quiz - -
Midterms 1 40 (%)
Final Exam 1 60 (%)
Total 100 (%)
ECTS / Working Load Table
Quantity Duration Total Work Load
Course Week Number and Time 14 3 42
Out-of-Class Study Time (Pre-study, Library, Reinforcement) 14 1 14
Midterms 1 3 3
Quiz 0 0 0
Homework 0 0 0
Practice 0 0 0
Laboratory 0 0 0
Project 0 0 0
Workshop 0 0 0
Presentation/Seminar Preparation 0 0 0
Fieldwork 0 0 0
Final Exam 1 3 3
Other 0 0 0
Total Work Load: 62
Total Work Load / 30 2,07
Course ECTS Credits: 2
Course - Learning Outcomes Matrix
Relationship Levels
Lowest Low Medium High Highest
1 2 3 4 5
# Learning Outcomes P1 P2 P3
O1 Knows numerical calculations and analysis 3 - -
O2 Knowledge of algorithm design and analysis techniques. - 2 -
O3 Algorithm - - 5
O4 Knowledge and use of software development platforms. 1 4 -