| Management Information Systems | |||||
| Bachelor | TR-NQF-HE: Level 6 | QF-EHEA: First Cycle | EQF-LLL: Level 6 | ||
| Course Code: | YBS312 | ||||
| Course Name: | Data Science 4 | ||||
| Semester: | Spring | ||||
| Course Credits: |
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| Language of instruction: | Turkish | ||||
| Course Condition: | |||||
| Does the Course Require Work Experience?: | No | ||||
| Type of course: | Compulsory Courses | ||||
| Course Level: |
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| Mode of Delivery: | Face to face | ||||
| Course Coordinator: | Doç. Dr. ŞEBNEM ÖZDEMİR | ||||
| Course Lecturer(s): | Şebnem Özdemir | ||||
| Course Assistants: |
| Course Objectives: | The aim of this course is to teach how to construct machine learning models with the help of a data analysis language, together with its mathematical background. |
| Course Content: | Machine learning algorithm, R and Python applications |
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The students who have succeeded in this course;
1) Recognizes classical machine learning methods. 2) Explains the model generation process using R or Python 3) Creates a model using multiple algorithms. 4) Compares the models, chooses the performance one. |
| Week | Subject | Related Preparation |
| 1) | Introduction to the Course – Basic Concepts – Overview of Content to be Learned and Assessment and Evaluation Activities for a Whole Semester | |
| 2) | Regression concept, Linear and Logistic regression | |
| 3) | Regression concept, Linear and Logistic regression | |
| 4) | Bayesian methods, Naive Bayes | |
| 5) | Bayesian methods, Naive Bayes | |
| 6) | Neighborhood, similarity concept, KNN | |
| 7) | Neighborhood, similarity concept, KNN | |
| 8) | Support Vector Machines | |
| 9) | Support Vector Machines | |
| 10) | Support Vector Machines | |
| 11) | Artificial neural networks | |
| 12) | Artificial neural networks | |
| 13) | Remodeling with CV Methods | |
| 14) | Distruptive Concepts | |
| 15) | Final Exam |
| Course Notes / Textbooks: | Ek kaynak ihtiyacı bulunmamaktadır. - There is no need for additional resources. |
| References: | Ek kaynak ihtiyacı bulunmamaktadır. - There is no need for additional resources. |
| Course Learning Outcomes | 1 |
2 |
3 |
4 |
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| Program Outcomes | |||||||||||||
| 1) It has a wide range of interdisciplinary approaches to management information systems, primarily business and computer engineering. | |||||||||||||
| 2) Comprehends the management information systems in terms of technical, organizational and managerial aspects and uses the current programming language by knowing the logic of programming. | |||||||||||||
| 3) Uses different information technologies and systems for understanding and solving various business problems. | |||||||||||||
| 4) Interpret the data, concepts and ideas in the field of management information systems with scientific and technological methods. | |||||||||||||
| 5) Analyze the needs for an information system and analyze the processes of analysis, design and implementation of the database. | |||||||||||||
| 6) Gains technical and managerial contributions to IT projects and takes responsibility. | |||||||||||||
| 7) Solve complex business and informatics problems by using various statistical techniques and numerical methods and make analyzes using statistical programs effectively. | |||||||||||||
| 8) Uses a foreign language at the B1 General Level in terms of European Language Portfolio criteria according to the level of education. | |||||||||||||
| 9) Develops teamwork, negotiation, leadership and entrepreneurship skills. | |||||||||||||
| 10) Has universal ethical values, social responsibility awareness and sufficient legal knowledge. | |||||||||||||
| 11) Develops positive attitudes related to lifelong learning and identifies individual learning needs and carries out studies to correct them. | |||||||||||||
| 12) Students will be able to communicate their ideas and solutions both written and orally, and present and publish them on both national and international platforms. | |||||||||||||
| 13) It uses information and communication technologies together with computer software at the advanced level of European Computer Driving License required by the field. | |||||||||||||
| No Effect | 1 Lowest | 2 Average | 3 Highest |
| Program Outcomes | Level of Contribution | |
| 1) | It has a wide range of interdisciplinary approaches to management information systems, primarily business and computer engineering. | 2 |
| 2) | Comprehends the management information systems in terms of technical, organizational and managerial aspects and uses the current programming language by knowing the logic of programming. | 3 |
| 3) | Uses different information technologies and systems for understanding and solving various business problems. | 3 |
| 4) | Interpret the data, concepts and ideas in the field of management information systems with scientific and technological methods. | 3 |
| 5) | Analyze the needs for an information system and analyze the processes of analysis, design and implementation of the database. | 3 |
| 6) | Gains technical and managerial contributions to IT projects and takes responsibility. | 2 |
| 7) | Solve complex business and informatics problems by using various statistical techniques and numerical methods and make analyzes using statistical programs effectively. | 3 |
| 8) | Uses a foreign language at the B1 General Level in terms of European Language Portfolio criteria according to the level of education. | 1 |
| 9) | Develops teamwork, negotiation, leadership and entrepreneurship skills. | 1 |
| 10) | Has universal ethical values, social responsibility awareness and sufficient legal knowledge. | 1 |
| 11) | Develops positive attitudes related to lifelong learning and identifies individual learning needs and carries out studies to correct them. | 2 |
| 12) | Students will be able to communicate their ideas and solutions both written and orally, and present and publish them on both national and international platforms. | 1 |
| 13) | It uses information and communication technologies together with computer software at the advanced level of European Computer Driving License required by the field. | 3 |
| Semester Requirements | Number of Activities | Level of Contribution |
| Homework Assignments | 1 | % 20 |
| Midterms | 1 | % 35 |
| Final | 1 | % 45 |
| total | % 100 | |
| PERCENTAGE OF SEMESTER WORK | % 55 | |
| PERCENTAGE OF FINAL WORK | % 45 | |
| total | % 100 | |
| Activities | Number of Activities | Workload |
| Course Hours | 14 | 28 |
| Application | 14 | 42 |
| Quizzes | 7 | 10 |
| Midterms | 8 | 18 |
| Final | 12 | 24 |
| Total Workload | 122 | |