Computer Programming
Course Details
KTO KARATAY UNIVERSITY
Trade and Industry Vocational School
Programme of Computer Programming
Course Details
Trade and Industry Vocational School
Programme of Computer Programming
Course Details
| Course Code | Course Name | Year | Period | Semester | T+A+L | Credit | ECTS |
|---|---|---|---|---|---|---|---|
| 99200002 | Mathematics II | 1 | Spring | 2 | 3+0+0 | 4 | 4 |
| Course Type | Compulsory |
| Course Cycle | Associate (Short Cycle) (TQF-HE: Level 5 / QF-EHEA: Short Cycle / EQF-LLL: Level 5) |
| Course Language | Turkish |
| Methods and Techniques | Yazılı sınav |
| Mode of Delivery | Face to Face |
| Prerequisites | - |
| Coordinator | - |
| Instructor(s) | Lect. Özlem AKARÇAY PERVİN |
| Instructor Assistant(s) | - |
Course Instructor(s)
| Name and Surname | Room | E-Mail Address | Internal | Meeting Hours |
|---|---|---|---|---|
| Lect. Özlem AKARÇAY PERVİN | C-109 | [email protected] | 7707 |
Course Content
Functions, limit and derivative concepts
Objectives of the Course
Mathematics 2 course aims to provide computer programming students with advanced mathematical concepts and techniques. It will also provide them with an understanding of the mathematical foundations of algorithms and provide a mathematical background for modern computer applications such as data analysis, machine learning and artificial intelligence.
Contribution of the Course to Field Teaching
| Basic Vocational Courses | X |
| 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 |
|---|---|---|
| P1 | He/she has basic, current and applied information about his/her profession. | 4 |
| P3 | He/She follows current developments and practices in his profession and uses them effectively. | 3 |
| P5 | Has the ability to independently evaluate professional problems and issues with an analytical and critical approach and propose solutions. | 5 |
| P11 | Creates algorithms and data structures and performs mathematical calculations. | 3 |
Course Learning Outcomes
| Upon the successful completion of this course, students will be able to: | |||
|---|---|---|---|
| No | Learning Outcomes | Outcome Relationship | Measurement Method ** |
| O1 | Can perform basic mathematical analyses related to his/her profession. | P.1.3 | 1 |
| O2 | Addresses complex problems and produces creative solutions. | P.3.3 | 1 |
| O3 | Analyzes complex problems and develops solution strategies | P.3.4 | 1 |
| O4 | Can develop solutions to mathematical problems | P.5.6 | 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 | Polynomials |
| 2 | Polynomial problems |
| 3 | The concept of function |
| 3 | Types of functions |
| 4 | Operations related to Inverse Function |
| 6 | Resultant function |
| 7 | Function applications |
| 9 | Concept of limit |
| 10 | Continuity |
| 11 | The concept of derivative, derivative from right and left |
| 12 | Derivative rules |
| 13 | Differentiation, L'Hospital's rule |
| 14 | Derivative question solution |
| 15 | General repetition |
Textbook or Material
| Resources | Matematik Cilt 1 / Calculus Early Transcendentals Dennis G. Zill, Warren S. Wright NOBEL AKADEMİK YAYINCILIK |
| lecture notes | |
| MYO'lar İçin Matematik ve Çözümleri Genel Matematik – 1 Prof. Dr. Ahmet Sinan Çevik,Öğr. Gör. Engin Bozacı |
Evaluation Method and Passing Criteria
| In-Term Studies | Quantity | Percentage |
|---|---|---|
| Attendance | - | - |
| Laboratory | - | - |
| Practice | - | - |
| Field Study | - | - |
| Course Specific Internship (If Any) | - | - |
| Homework | - | - |
| Presentation | - | - |
| Projects | - | - |
| Seminar | - | - |
| Quiz | - | - |
| Listening | - | - |
| 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 | 3 | 42 |
| Midterms | 1 | 14 | 14 |
| 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 | 14 | 14 |
| Other | 0 | 0 | 0 |
| Total Work Load: | 112 | ||
| Total Work Load / 30 | 3,73 | ||
| Course ECTS Credits: | 4 | ||
Course - Learning Outcomes Matrix
| Relationship Levels | ||||
| Lowest | Low | Medium | High | Highest |
| 1 | 2 | 3 | 4 | 5 |
| # | Learning Outcomes | P1 | P3 | P5 |
|---|---|---|---|---|
| O1 | Can perform basic mathematical analyses related to his/her profession. | 3 | - | - |
| O2 | Addresses complex problems and produces creative solutions. | - | 3 | - |
| O3 | Analyzes complex problems and develops solution strategies | - | 4 | - |
| O4 | Can develop solutions to mathematical problems | - | - | 5 |