UNI220 Machine Learning and Data ScienceIstinye UniversityDegree Programs First and Emergency Aid General Information For StudentsDiploma SupplementErasmus Policy StatementNational Qualifications
First and Emergency Aid

Preview

Associate TR-NQF-HE: Level 5 QF-EHEA: Short Cycle EQF-LLL: Level 5

Course Introduction and Application Information

Course Code: UNI220
Course Name: Machine Learning and Data Science
Semester: Spring
Course Credits:
ECTS
5
Language of instruction: Turkish
Course Condition:
Does the Course Require Work Experience?: No
Type of course: University Elective
Course Level:
Associate TR-NQF-HE:5. Master`s Degree QF-EHEA:Short Cycle EQF-LLL:5. Master`s Degree
Mode of Delivery: E-Learning
Course Coordinator: Dr. Öğr. Üy. ALPER ÖNER
Course Lecturer(s): Ferzat Anka
Course Assistants:

Course Objective and Content

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

Learning Outcomes

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.

Course Flow Plan

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)

Sources

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 - Program Learning Outcome Relationship

Course Learning Outcomes

1

2

3

4

5

Program Outcomes
1) Students will be able to use the basic knowledge, skills, competencies and experiences gained from the basic theoretical and practical courses supported by the course materials, application tools, information technologies and other resources, which contain up-to-date information in the field of First Aid and Emergency Assistance.
2) In case of emergencies such as sudden illness, emergency birth, accident, disaster or injury, it reaches the scene quickly, evaluates the situation together with the doctor, if necessary, makes the first intervention, provides the appropriate position for the patients or the wounded during the patient transport and provides the proper transportation to the appropriate hospital emergency service.
3) Using the basic knowledge of the First and Emergency Assistance area, it carries out a task independently.
4) Using the knowledge and skills acquired in the first and Emergency Assistance area, informs the relevant people and institutions by using the communication network correctly and rapidly in all stages of his duty, and transfers his ideas and solutions to the problems in written and / or verbally.
5) In order to solve unforeseen complex problems encountered in the applications related to First Aid and Emergency Assistance, the team acts in a harmonious manner within the team and acts in accordance with the quality management and processes and takes individual responsibility when necessary.
6) Communicates effectively with written and / or verbal communication with colleagues, patients and relatives, physicians and all other health professionals and has the ability to work effectively with different disciplines.
7) Recognize the institutions and organizations within the health system; As an individual working in the field of First Aid and Emergency Assistance, he / she knows the laws, regulations and legislation related to his / her duties, rights and responsibilities and acts accordingly.
8) He/She has the awareness of lifelong learning and directs its education to an advanced level of education in the same field or to a profession at the same level.
9) Contributes to projects and activities for the social environment in which he lives with a sense of social responsibility.
10) By using the knowledge and knowledge about the structure, properties, usage areas and legal regulations of medical devices used in health field; use this information in research, development and follow-up of technological developments.
11) In case of emergency aid, he / she has the knowledge and skills to keep calm, fast, serial and correct at the scene and to maintain and maintain the physical, social and mental health of both the patient and himself.
12) He/She follows information in the field by using a foreign language at least at the level of European Language Portfolio A2 General Level.
13) Uses information and communication technologies together with computer software at the basic level of at least European Computer Driving License required by the field.
14) Knows the measures for occupational diseases and accidents and applies the principles of Occupational Health and Safety in these cases.
15) They act in accordance with quality management and processes.

Course - Learning Outcome Relationship

No Effect 1 Lowest 2 Average 3 Highest
       
Program Outcomes Level of Contribution
1) Students will be able to use the basic knowledge, skills, competencies and experiences gained from the basic theoretical and practical courses supported by the course materials, application tools, information technologies and other resources, which contain up-to-date information in the field of First Aid and Emergency Assistance.
2) In case of emergencies such as sudden illness, emergency birth, accident, disaster or injury, it reaches the scene quickly, evaluates the situation together with the doctor, if necessary, makes the first intervention, provides the appropriate position for the patients or the wounded during the patient transport and provides the proper transportation to the appropriate hospital emergency service.
3) Using the basic knowledge of the First and Emergency Assistance area, it carries out a task independently.
4) Using the knowledge and skills acquired in the first and Emergency Assistance area, informs the relevant people and institutions by using the communication network correctly and rapidly in all stages of his duty, and transfers his ideas and solutions to the problems in written and / or verbally.
5) In order to solve unforeseen complex problems encountered in the applications related to First Aid and Emergency Assistance, the team acts in a harmonious manner within the team and acts in accordance with the quality management and processes and takes individual responsibility when necessary.
6) Communicates effectively with written and / or verbal communication with colleagues, patients and relatives, physicians and all other health professionals and has the ability to work effectively with different disciplines.
7) Recognize the institutions and organizations within the health system; As an individual working in the field of First Aid and Emergency Assistance, he / she knows the laws, regulations and legislation related to his / her duties, rights and responsibilities and acts accordingly.
8) He/She has the awareness of lifelong learning and directs its education to an advanced level of education in the same field or to a profession at the same level.
9) Contributes to projects and activities for the social environment in which he lives with a sense of social responsibility.
10) By using the knowledge and knowledge about the structure, properties, usage areas and legal regulations of medical devices used in health field; use this information in research, development and follow-up of technological developments.
11) In case of emergency aid, he / she has the knowledge and skills to keep calm, fast, serial and correct at the scene and to maintain and maintain the physical, social and mental health of both the patient and himself.
12) He/She follows information in the field by using a foreign language at least at the level of European Language Portfolio A2 General Level.
13) Uses information and communication technologies together with computer software at the basic level of at least European Computer Driving License required by the field.
14) Knows the measures for occupational diseases and accidents and applies the principles of Occupational Health and Safety in these cases.
15) They act in accordance with quality management and processes.

Assessment & Grading

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

Workload and ECTS Credit Calculation

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