Electrical and Electronics Engineering
Course Details
KTO KARATAY UNIVERSITY
Mühendislik ve Doğa Bilimleri Fakültesi
Programme of Electrical and Electronics Engineering
Course Details
Mühendislik ve Doğa Bilimleri Fakültesi
Programme of Electrical and Electronics Engineering
Course Details
| Course Code | Course Name | Year | Period | Semester | T+A+L | Credit | ECTS |
|---|---|---|---|---|---|---|---|
| 05130304 | Algorithm and Programming II | 2 | Autumn | 3 | 2+2+0 | 3 | 6 |
| Course Type | Compulsory |
| Course Cycle | Bachelor's (First Cycle) (TQF-HE: Level 6 / QF-EHEA: Level 1 / EQF-LLL: Level 6) |
| Course Language | English |
| Methods and Techniques | 1. Teorik Anlatım: Konular ders kapsamında teorik olarak anlatılır. Öğrenciler programlamanın temel kavramlarını ve algoritmaların mantığını kavrayabilmeleri için konu anlatımları dinler. 2. Uygulamalı Çalışmalar: Öğrenciler, teorik olarak anlatılan konuların uygulamasını yapmak için ders eğitmeni mentorlüğünde çeşitli örneklerle çalışmalar gerçekleştirir. Kazanımlar elde edilmeye çalışılır. 3. Adım Adım Çözümleme: Karşılaşılan problemler adım adım çözülerek her adımın nasıl işlediği açıklanır. Bu yöntemle öğrencilerin konulara daha hakim olması sağlanır. 4.Gerçek Hayat Örnekleri: Konuların daha iyi anlaşılması için gerçek hayattan örnekler ve problem senaryoları sunulur. Böylece öğrenciler öğrendiklerini pratikte nasıl kullanacağını görür. 5. Laboratuvar Föyleri ve Quizler: Haftalık laboratuvar föyleri ve sınav öncesi quizler ile öğrencilerin ilerlemesi değerlendirilir, konuların anlaşılıp anlaşılmadığı takip edilir. |
| Mode of Delivery | Face to Face |
| Prerequisites | Dersin herhangi bir ön koşulu bulunmamaktadır. Tüm öğrencilere temel seviyeden başlanarak eğitim verilmektedir. |
| Coordinator | - |
| Instructor(s) | Asst. Prof. Atakan DAŞDEMİR |
| Instructor Assistant(s) | - |
Course Instructor(s)
| Name and Surname | Room | E-Mail Address | Internal | Meeting Hours |
|---|---|---|---|---|
| Asst. Prof. Atakan DAŞDEMİR | A-127 | [email protected] | 7860 | Monday 15:00-16:00 |
Course Content
1 Introduction to Algorithms and Programming with Python and Environment Setup
2 Data Structures I: Lists, Tuples, Sets
3 Control Structures and Loops
4 Arrays and Matrices with NumPy
5 Functions and Basic Algorithms
6 Modules, Scripts, and Packages
7 File I/O
8 Data Visualization with Matplotlib
9 Polynomials and Numerical Computing
10 Symbolic Mathematics with SymPy
11 Data Analysis with Pandas
12 Simulation with SciPy
13 General Review
2 Data Structures I: Lists, Tuples, Sets
3 Control Structures and Loops
4 Arrays and Matrices with NumPy
5 Functions and Basic Algorithms
6 Modules, Scripts, and Packages
7 File I/O
8 Data Visualization with Matplotlib
9 Polynomials and Numerical Computing
10 Symbolic Mathematics with SymPy
11 Data Analysis with Pandas
12 Simulation with SciPy
13 General Review
Objectives of the Course
The aim of this course is to provide students with the knowledge and skills necessary to use the python programming language effectively. Throughout the course, students will learn the basic programming structure of python, data analysis, visualization, mathematical modeling, and tools for solving engineering problems.
Students will discover the potential of python in scientific and engineering applications by developing algorithms, performing data processing and analysis. In addition, it is aimed that at the end of the course, they will be able to perform various applications using python, produce original solutions to problems, and reach a level where they can express these solutions visually.
Students will discover the potential of python in scientific and engineering applications by developing algorithms, performing data processing and analysis. In addition, it is aimed that at the end of the course, they will be able to perform various applications using python, produce original solutions to problems, and reach a level where they can express these solutions visually.
Contribution of the Course to Field Teaching
| Basic Vocational Courses | X |
| Specialization / Field Courses | X |
| Support Courses | |
| Transferable Skills Courses | X |
| 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 | Solid knowledge base in mathematics, natural sciences, and engineering-related subjects, along with the ability to solve complex engineering problems using this knowledge. | 5 |
| P2 | Ability to identify, describe, mathematically express, and solve challenging engineering problems; the capability to select and utilize appropriate analysis and modeling techniques for this purpose. | 5 |
| P3 | Ability to design a complex system, process, device, or product to meet specific requirements within real-world constraints and conditions; using current design techniques to achieve this goal. | 4 |
| P4 | Ability to develop, prefer, and utilize current techniques and tools for analyzing and solving complex problems in engineering applications; proficiency in effectively utilizing information technologies. | 4 |
Course Learning Outcomes
| Upon the successful completion of this course, students will be able to: | |||
|---|---|---|---|
| No | Learning Outcomes | Outcome Relationship | Measurement Method ** |
| O1 | Have the skills to develop approximate solution methods to engineering problems. | P.1.2 | 1,3,7 |
| O2 | Solve an engineering problem, design and develop products using Electrical and Electronics knowledge and skills. | P.1.5 | 3,7 |
| O3 | Rasgele sayıları öğrenme ve kullanma becerisi elde eder. Acquires the ability to learn and use random numbers. | P.1.8 | 1,3,7 |
| O4 | Must know basic programming languages (Visual basic, Assembly, C) used in programming electronic systems | P.1.69 | 1,3,7 |
| O5 | Knows the basic components of computers and microprocessors and operating systems and can select component X | P.3.11 | 1,3,7 |
| O6 | Must know the basic elements and operating systems of computers and microprocessors and be able to select components | P.3.14 | 1,3,7 |
| ** 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 | Introduction to Python |
| 2 | Data Structures I: Lists, Tuples, Sets |
| 3 | Control Structures and Loops |
| 4 | Arrays and Matrices with NumPy |
| 5 | Functions and Basic Algorithms |
| 6 | Modules, Scripts, and Packages |
| 7 | Pre-Exam Quiz and General Review |
| 8 | Mid-term Exam |
| 9 | File I/O |
| 10 | Data Visualization with Matplotlib |
| 11 | Array Function and Polynomials |
| 12 | Symbolic Variables and Operations |
| 13 | Data Analysis with Pandas |
| 15 | Pre-Exam Quiz and General Review |
| 16 | Final Exam |
Evaluation Method and Passing Criteria
| In-Term Studies | Quantity | Percentage |
|---|---|---|
| Attendance | - | - |
| Laboratory | - | - |
| Practice | - | - |
| Homework | 10 | - |
| Presentation | - | - |
| Projects | 1 | 60 (%) |
| Quiz | - | - |
| Listening | - | - |
| Midterms | 1 | 40 (%) |
| Final Exam | - | - |
| Total | 100 (%) | |
ECTS / Working Load Table
| Quantity | Duration | Total Work Load | |
|---|---|---|---|
| Course Week Number and Time | 16 | 4 | 64 |
| Out-of-Class Study Time (Pre-study, Library, Reinforcement) | 14 | 2 | 28 |
| Midterms | 1 | 14 | 14 |
| Quiz | 2 | 7 | 14 |
| Homework | 0 | 0 | 0 |
| Practice | 14 | 2 | 28 |
| 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 | 32 | 32 |
| Other | 0 | 0 | 0 |
| Total Work Load: | 180 | ||
| Total Work Load / 30 | 6 | ||
| Course ECTS Credits: | 6 | ||
Course - Learning Outcomes Matrix
| Relationship Levels | ||||
| Lowest | Low | Medium | High | Highest |
| 1 | 2 | 3 | 4 | 5 |
| # | Learning Outcomes | P1 | P3 |
|---|---|---|---|
| O1 | Have the skills to develop approximate solution methods to engineering problems. | 5 | - |
| O2 | Solve an engineering problem, design and develop products using Electrical and Electronics knowledge and skills. | 5 | - |
| O3 | Rasgele sayıları öğrenme ve kullanma becerisi elde eder. Acquires the ability to learn and use random numbers. | 5 | - |
| O4 | Must know basic programming languages (Visual basic, Assembly, C) used in programming electronic systems | 5 | - |
| O5 | Knows the basic components of computers and microprocessors and operating systems and can select component X | - | 5 |
| O6 | Must know the basic elements and operating systems of computers and microprocessors and be able to select components | - | 5 |