Computer Engineering
Course Details
KTO KARATAY UNIVERSITY
Mühendislik ve Doğa Bilimleri Fakültesi
Programme of Computer Engineering
Course Details
Mühendislik ve Doğa Bilimleri Fakültesi
Programme of Computer Engineering
Course Details
Course Code | Course Name | Year | Period | Semester | T+A+L | Credit | ECTS |
---|---|---|---|---|---|---|---|
05061220 | Software Lab II | 3 | Spring | 6 | 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 | Yok |
Mode of Delivery | Face to Face |
Prerequisites | Yok |
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
A topic chosen by the student and faculty member.
Objectives of the Course
Making projects that can be done as course projects on various subjects
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 |
---|---|---|
P3 | Ability to design a complex system, process, device or product to meet specific requirements under realistic constraints and conditions; ability to apply modern design methods for this purpose | 3 |
P6 | Ability to work effectively in disciplinary and multi-disciplinary teams; individual study skills | 5 |
Course Learning Outcomes
Upon the successful completion of this course, students will be able to: | |||
---|---|---|---|
No | Learning Outcomes | Outcome Relationship | Measurement Method ** |
O1 | Knowledge and use of software development platforms. | P.3.5 | 1 |
O2 | Must have technological knowledge of basic measurement theory, sensors, amplifiers, transducers and other measurement components. | P.3.6 | 2 |
O3 | Application of developed methods to solve problems effectively and efficiently. | P.4.6 | 1 |
** 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 |
6 | System Modeling |
7 | Midterm |
8 | System Modeling II |
9 | Project Meeting and Joint Software Development |
10 | Project Meeting and Joint Software Development |
11 | Project Presentations |
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 | 5 | 70 |
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 | 14 | 3 | 42 |
Total Work Load: | 160 | ||
Total Work Load / 30 | 5,33 | ||
Course ECTS Credits: | 5 |
Course - Learning Outcomes Matrix
Relationship Levels | ||||
Lowest | Low | Medium | High | Highest |
1 | 2 | 3 | 4 | 5 |
# | Learning Outcomes | P3 | P4 |
---|---|---|---|
O1 | Knowledge and use of software development platforms. | 2 | - |
O2 | Must have technological knowledge of basic measurement theory, sensors, amplifiers, transducers and other measurement components. | - | 4 |
O3 | Application of developed methods to solve problems effectively and efficiently. | 5 | - |