Speech and Language Therapy
Bachelor	TR-NQF-HE: Level 6	QF-EHEA: First Cycle	EQF-LLL: Level 6

Course Introduction and Application Information

Course Code:

UNI220

Course Name:

Machine Learning and Data Science

Semester:

Spring

Course Credits:

ECTS

Language of instruction:

Turkish

Course Condition:

Does the Course Require Work Experience?:

Type of course:

University Elective

Course Level:

Bachelor

TR-NQF-HE:6. Master`s Degree

QF-EHEA:First Cycle

EQF-LLL:6. 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:

Course - Program Learning Outcome Relationship

Course Learning Outcomes	1	2	3	4	5
Program Outcomes
1) Prepare and implement therapy programs to prevent, evaluate, diagnose and diagnose language and speech disorders by using original theoretical and practical knowledge and equipments acquired in the field. Change or terminate the process and application where necessary.
1) -To be able to use advanced theoretical and applied knowledge gained in the field. -To be able to interpret and evaluate data, to define and analyze problems, to develop solutions based on research and evidence, using the advanced knowledge and skills acquired in the field. - To be able to inform the relevant people and institutions on the issues related to the field; to be able to convey their thoughts and suggestions for solutions to problems verbally and in writing. - Being able to carry out an advanced study in the field independently.
2) Have the knowledge of teaching programs, teaching strategies, methods and techniques related to language and speech therapy.
3) Comprehends the methods related to the production of scientific knowledge.
4) To apply the historical development of the profession and the acquired knowledge and skills in the field of language and speech disorders according to the principles of professional ethics.
5) Applies the principles of professional development and learning, communication and social skills in the fields of work.
6) Use the acquired knowledge, skills and problem solving skills in the field of language and speech therapy as interdiscipliner, multidisciplinary and transdisciplinary.
7) To be able to conceptualize the events and phenomena related to language and speech therapy; examine with scientific methods and techniques; interpret the data, evaluate, identify problems, analyze, develop solutions based on evidence and research.
8) Participates in all stages of research and project applications by using technological tools and materials in the field of language and speech therapy.
9) Using the English at a general level of European Language Portfolio B1, he follows the scientific sources in his field and communicates with his colleagues.
10) It integrates the knowledge of language and speech disorders with its own applications, and realizes it and shares it with professional staff.
11) Uses information technologies and course materials individually or in group by taking responsibility in teaching-learning process effectively, producing solutions and gaining habit of life-long research and learning.
12) Access to current information by using scientific sources, legal regulations and related information technologies. Makes theoretical and / or practical research, takes part as a researcher in projects in his / her field, presents his / her findings orally and in writing in national and / or international meetings and / or publish them.
13) Evaluates and analyzes the nature, source, limits, accuracy, reliability and validity of knowledge by using research methods and techniques to reach scientific knowledge, develops and interprets solutions based on evidence.
14) It considers and respects individual differences, cultural beliefs, customs and traditions, and their daily activity, role and participation effects.

Course - Learning Outcome Relationship

No Effect	1 Lowest	2 Average	3 Highest

	Program Outcomes	Level of Contribution
1)	Prepare and implement therapy programs to prevent, evaluate, diagnose and diagnose language and speech disorders by using original theoretical and practical knowledge and equipments acquired in the field. Change or terminate the process and application where necessary.
1)	-To be able to use advanced theoretical and applied knowledge gained in the field. -To be able to interpret and evaluate data, to define and analyze problems, to develop solutions based on research and evidence, using the advanced knowledge and skills acquired in the field. - To be able to inform the relevant people and institutions on the issues related to the field; to be able to convey their thoughts and suggestions for solutions to problems verbally and in writing. - Being able to carry out an advanced study in the field independently.
2)	Have the knowledge of teaching programs, teaching strategies, methods and techniques related to language and speech therapy.
3)	Comprehends the methods related to the production of scientific knowledge.
4)	To apply the historical development of the profession and the acquired knowledge and skills in the field of language and speech disorders according to the principles of professional ethics.
5)	Applies the principles of professional development and learning, communication and social skills in the fields of work.
6)	Use the acquired knowledge, skills and problem solving skills in the field of language and speech therapy as interdiscipliner, multidisciplinary and transdisciplinary.
7)	To be able to conceptualize the events and phenomena related to language and speech therapy; examine with scientific methods and techniques; interpret the data, evaluate, identify problems, analyze, develop solutions based on evidence and research.
8)	Participates in all stages of research and project applications by using technological tools and materials in the field of language and speech therapy.
9)	Using the English at a general level of European Language Portfolio B1, he follows the scientific sources in his field and communicates with his colleagues.
10)	It integrates the knowledge of language and speech disorders with its own applications, and realizes it and shares it with professional staff.
11)	Uses information technologies and course materials individually or in group by taking responsibility in teaching-learning process effectively, producing solutions and gaining habit of life-long research and learning.
12)	Access to current information by using scientific sources, legal regulations and related information technologies. Makes theoretical and / or practical research, takes part as a researcher in projects in his / her field, presents his / her findings orally and in writing in national and / or international meetings and / or publish them.
13)	Evaluates and analyzes the nature, source, limits, accuracy, reliability and validity of knowledge by using research methods and techniques to reach scientific knowledge, develops and interprets solutions based on evidence.
14)	It considers and respects individual differences, cultural beliefs, customs and traditions, and their daily activity, role and participation effects.

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