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Information
| Unit | FACULTY OF SCIENCE AND LETTERS |
| MATHEMATICS PR. | |
| Code | ENF204 |
| Name | Introduction to Computer Programming |
| Term | 2019-2020 Academic Year |
| Semester | 4. Semester |
| Duration (T+A) | 2-2 (T-A) (17 Week) |
| ECTS | 4 ECTS |
| National Credit | 3 National Credit |
| Teaching Language | Türkçe |
| Level | Lisans Dersi |
| Type | Normal |
| Label | C Compulsory |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator | Öğr. Gör. Dr. İRFAN MACİT |
| Course Instructor |
Öğr. Gör. Dr. İRFAN MACİT
(Bahar)
(A Group)
(Ins. in Charge)
|
Course Goal / Objective
In Computer Programming course, Mathematics Department aims to acquire the ability of basic mathematical processes that students meet with programming language.
Course Content
In the course, laboratory applications will be carried out in order to write computer programs and gain the ability to develop these programs and algorithms. The theoretical part of the course will be reinforced by practicing with laboratory applications.
Course Precondition
Resources
Notes
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | They learn basic concepts of computer programming, responsibility and professional ethics. |
| LO02 | They learn the basic concepts of algorithms. |
| LO03 | They learn algorithm development processes. |
| LO04 | They learn the use of algorithms related tools. |
| LO05 | They ave knowledge about designing related processes in Algorithm. |
| LO06 | They can develop algorithms individually. |
| LO07 | They learn basic concepts of computer programming. |
| LO08 | They learn data structures. |
| LO09 | They have information about visual programming languages. |
| LO10 | They learn to make a simple program in a visual programming language. |
Relation with Program Learning Outcome
| Order | Type | Program Learning Outcomes | Level |
|---|---|---|---|
| PLO01 | - | Comprehend the ability to prove the mathematical knowledge gained in secondary education on the basis of theoretical basis. | 3 |
| PLO02 | - | Understands importance of basic consepts of Algebra, Analaysis and Topology. | 3 |
| PLO03 | - | Mathematical reasoning demonstrates the ability to develop and write mathematical proofs by gaining maturity. | 3 |
| PLO04 | - | Demonstrate the ability to express the basic theories of mathematics both correctly. | 3 |
| PLO05 | - | Understands the relationship between the different fields of mathematics and its relation to other disciplines. | 3 |
| PLO06 | - | Comprehends the ability to understand the relationships between the objects in the most understandable way while creating a model for any problem. | 3 |
| PLO07 | - | Comprehend and explain mathematical models such as formulas, graphs, tables and schema. | 5 |
| PLO08 | - | Demonstrate the ability to mathematically rearrange, analyze, and model the problems they encounter. | 5 |
| PLO09 | - | Comprehends at least one of the computer programming languages. | 5 |
| PLO10 | - | Demonstrate the ability to use scientific methods and appropriate technologies effectively in problem solving. | 5 |
| PLO11 | - | Understands sufficient knowledge of foreign language to be able to understand Mathematical concepts and communicate with other mathematicians | 4 |
| PLO12 | - | In addition to their professional development, they demonstrate their ability to continuously improve themselves by identifying their educational needs in scientific, cultural, artistic and social areas in line with their interests and abilities. | 4 |
| PLO13 | - | Understands the programming techniques and shows the ability to do programming. | 4 |
| PLO14 | - | Demonstrates the ability to study mathematics both independently and as a group. | 4 |
| PLO15 | - | Demonstrate an awareness of the universal and social impacts and legal consequences of mathematical applications in the field of study. | |
| PLO16 | - | Demonstrate the ability to select, use and develop effectively for contemporary mathematical applications. | |
| PLO17 | - | It has ability of lifelong learning awareness, access to information, monitoring developments in science and technology and self-renewal ability. | |
| PLO18 | - | Gains the ability to use information technologies effectively for contemporary mathematical applications. | |
| PLO19 | - | Gains the ability to design, conduct experiments, field work, data collection, analysis, archiving, text solving and / or interpretation according to mathematics fields. | |
| PLO20 | - | Gains the consciousness of prefesional ethics and responsibility. |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Basic Concepts and introduction. | None | |
| 2 | Introduction to Algorithm. | Definition research. | |
| 3 | Introduction to algorithm analysis. | Definition research. | |
| 4 | Algorithm analysis. | Research in library | |
| 5 | Algorithm development processes and analysis results. | Research in library | |
| 6 | Clarification of analysis results by means of algorithm development tools. | Research in library | |
| 7 | Algorithm design and analysis with algorithms development tools. | Research in library | |
| 8 | Mid-Term Exam | None | |
| 9 | Basic concepts in programming. | Prepairing laboratory examination. | |
| 10 | Programming data structures. | Prepairing laboratory examination. | |
| 11 | Data entrering in the program. | Prepairing laboratory examination. | |
| 12 | Data outputs in programming. | Prepairing laboratory examination. | |
| 13 | Setup and analysis of conditioanls in programming. | Prepairing laboratory examination. | |
| 14 | Analysis of the setting up of conditionals in computer programming. | Prepairing laboratory examination. | |
| 15 | Functional analysis in programming. | Prepairing laboratory examination. | |
| 16 | Term Exams | Ending laboratory examination. | |
| 17 | Term Exams | Ending laboratory examination. |
Assessment (Exam) Methods and Criteria
| Assessment Type | Midterm / Year Impact | End of Term / End of Year Impact |
|---|---|---|
| 1. Midterm Exam | 100 | 20 |
| General Assessment | ||
| Midterm / Year Total | 100 | 20 |
| 1. Final Exam | - | 80 |
| Grand Total | - | 100 |
Student Workload - ECTS
| Works | Number | Time (Hour) | Workload (Hour) |
|---|---|---|---|
| Course Related Works | |||
| Class Time (Exam weeks are excluded) | 14 | 4 | 56 |
| Out of Class Study (Preliminary Work, Practice) | 14 | 1 | 14 |
| Assesment Related Works | |||
| Homeworks, Projects, Others | 0 | 0 | 0 |
| Mid-term Exams (Written, Oral, etc.) | 1 | 12 | 12 |
| Final Exam | 1 | 18 | 18 |
| Total Workload (Hour) | 100 | ||
| Total Workload / 25 (h) | 4,00 | ||
| ECTS | 4 ECTS | ||