Management Information Systems | |||||
Bachelor | TR-NQF-HE: Level 6 | QF-EHEA: First Cycle | EQF-LLL: Level 6 |
Course Code: | UNI220 | ||||
Course Name: | Machine Learning and Data Science | ||||
Semester: |
Fall Spring |
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Course Credits: |
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Language of instruction: | Turkish | ||||
Course Condition: | |||||
Does the Course Require Work Experience?: | No | ||||
Type of course: | University Elective | ||||
Course Level: |
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Mode of Delivery: | E-Learning | ||||
Course Coordinator: | Dr. Öğr. Üy. ALPER ÖNER | ||||
Course Lecturer(s): | Ferzat Anka | ||||
Course Assistants: |
Course Objectives: | The aim of the course is to provide students with information on basic techniques and methods in artificial learning and to enable students to have the ability to use artificial learning methods in solving practical problems. At the same time, it is to understand the importance of machine learning in today's application areas. |
Course Content: | Machine learning basic concepts and methods. Problem solving using machine learning; methods using and not using problem information. Data analysis, To examine various algorithms. To explain the importance of artificial intelligence methods in different fields with examples |
The students who have succeeded in this course;
1) • Recognize the problems that can be solved by machine learning methods. 2) • Understanding the importance of artificial intelligence in solving various problems 3) • Can choose the appropriate machine learning method for the given problem. 4) • Can solve the given problem with the appropriate machine learning method. 5) • Knows the ways of representing information, its advantages and disadvantages. |
Week | Subject | Related Preparation |
1) | Machine learning history and philosophy | |
2) | Basic concepts | |
3) | Basic concepts-Intelligent Agents | |
4) | Introduction to machine learning and problem solving and search algorithms | |
5) | Expert systems and machine learning | |
6) | Optimization methods in machine learning | |
7) | Homework-Presentation | |
8) | Homework-Presentation | |
9) | Homework-Presentation | |
10) | Data science and analysis | |
11) | Machine learning | |
12) | Data science and methods | |
13) | Machine learning | |
14) | Search algorithms and their importance (Definite, greedy, heuristic, meta-heuristic) |
Course Notes / Textbooks: | • Stuart Russell and Peter Norvig, Artificial Intelligence: A Modern Approach, Third Ed., Prentice Hall, 2010, • Michael Negnevitsky, Artificial Intelligence: A Guide to Intelligent Systems (3rd Edition) 3rd Edition • Vasif Nabiyev, Yapay Zeka: İnsan ve Bilgisayar Etkileşimi 4. Baskı • Yalçin Özkan, Veri Madenciliği Yöntemleri, Papatya, 2008 • Cemalettin Kubat, Matlab Yapay Zeka ve Mühendislik uygulamaları, Pusula, 2009 • İlker Arslan, R ile İstatistiksel Programlama, Pusula, 2020 • Zafer Demirkol, Herkes İçin Yapay Zeka, Genç Destek, 2021 • S.Nematzadeh et al. Rationalized Statistics for Biosciences Analysing bioinformatics data using the R, LAP Publishing, 2021 |
References: | • Stuart Russell and Peter Norvig, Artificial Intelligence: A Modern Approach, Third Ed., Prentice Hall, 2010, • Michael Negnevitsky, Artificial Intelligence: A Guide to Intelligent Systems (3rd Edition) 3rd Edition • Vasif Nabiyev, Yapay Zeka: İnsan ve Bilgisayar Etkileşimi 4. Baskı • Yalçin Özkan, Veri Madenciliği Yöntemleri, Papatya, 2008 • Cemalettin Kubat, Matlab Yapay Zeka ve Mühendislik uygulamaları, Pusula, 2009 • İlker Arslan, R ile İstatistiksel Programlama, Pusula, 2020 • Zafer Demirkol, Herkes İçin Yapay Zeka, Genç Destek, 2021 • S.Nematzadeh et al. Rationalized Statistics for Biosciences Analysing bioinformatics data using the R, LAP Publishing, 2021 |
Course Learning Outcomes | 1 |
2 |
3 |
4 |
5 |
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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. | 3 |
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. | 3 |
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. | 3 |
9) | Develops teamwork, negotiation, leadership and entrepreneurship skills. | 3 |
10) | Has universal ethical values, social responsibility awareness and sufficient legal knowledge. | 3 |
11) | Develops positive attitudes related to lifelong learning and identifies individual learning needs and carries out studies to correct them. | 3 |
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. | 3 |
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 |
Presentation | 1 | % 40 |
Final | 1 | % 60 |
total | % 100 | |
PERCENTAGE OF SEMESTER WORK | % 40 | |
PERCENTAGE OF FINAL WORK | % 60 | |
total | % 100 |
Activities | Number of Activities | Workload |
Course Hours | 16 | 48 |
Study Hours Out of Class | 16 | 53 |
Presentations / Seminar | 5 | 10 |
Final | 1 | 2 |
Total Workload | 113 |