UNI220 Machine Learning and Data ScienceIstinye UniversityDegree Programs PharmacyGeneral Information For StudentsDiploma SupplementErasmus Policy StatementNational Qualifications
Pharmacy

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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: Fall
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:
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: • 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) Applies and develops the universal and social dimensional effects of basic, professional and technological knowledge in the field of pharmacy as well as pharmacy practice interdisciplinary by following legal, deontological and ethical rules.
2) Defines the terminology related to the pharmacy profession; solves problems , accesses scientific information in the field of pharmacy, after monitoring and evaluating the current literature, applies , communicates, shares by using information technologies effectively and efficiently.
3) Uses theoretical and practical knowledge about the anatomical structure of the human body, the physiological working principles of systems, biochemical, immunological events in the organism and microorganisms.
4) Uses basic and advanced analytical techniques and methods by running qualitative/quantitative analyzes and interprets the findings by using appropriate statistical methods.
5) Defines medicinal plants, herbal drugs and active substances; gains the skills for the development of natural products used for medical purposes.
6) Applies patient-centered and individualized pharmaceutical care service together with other healthcare personnel within the framework of rational drug use by using the principles of clinical pharmacy, pharmacoeconomics, pharmacotherapy and phytotherapy.
7) Knows the biological properties, structure-activity relationships, and metabolisms of drugs and gains the skill for the synthesize and development of new drug candidates.
8) He/She is competent at formulations, production, stability, quality assurance, licensing, patent studies, legal regulations of products containing natural origin and / or synthetic active substances, advanced therapy medicinal products, radiopharmaceuticals and cosmetic products.
9) Interprets the pharmacokinetic and pharmacodynamic properties of drugs, the factors that change their effect, their toxic effects, pharmacolygical activities and their risk assessment method. Reports the drug interactions and adverse drug reactions, monitors and applies the theoretical/practical knowledge for preventing them.
10) As a health professional in his/her profession he/she acts as a caregiver, decision maker, communicator, manager, lifelong learner, instructor, leader and researcher, he/she complies with the principles of evidence-based pharmacy by making teamwork for the benefit of society, national and universal values.
11) He/She works in various fields such as community pharmacy, hospitals, pharmaceutical medical devices, herbal products and cosmetics sectors, health institutions and agencies, clinical research organizations , universities and R&D centers.

Course - Learning Outcome Relationship

No Effect 1 Lowest 2 Average 3 Highest
       
Program Outcomes Level of Contribution
1) Applies and develops the universal and social dimensional effects of basic, professional and technological knowledge in the field of pharmacy as well as pharmacy practice interdisciplinary by following legal, deontological and ethical rules.
2) Defines the terminology related to the pharmacy profession; solves problems , accesses scientific information in the field of pharmacy, after monitoring and evaluating the current literature, applies , communicates, shares by using information technologies effectively and efficiently.
3) Uses theoretical and practical knowledge about the anatomical structure of the human body, the physiological working principles of systems, biochemical, immunological events in the organism and microorganisms.
4) Uses basic and advanced analytical techniques and methods by running qualitative/quantitative analyzes and interprets the findings by using appropriate statistical methods.
5) Defines medicinal plants, herbal drugs and active substances; gains the skills for the development of natural products used for medical purposes.
6) Applies patient-centered and individualized pharmaceutical care service together with other healthcare personnel within the framework of rational drug use by using the principles of clinical pharmacy, pharmacoeconomics, pharmacotherapy and phytotherapy.
7) Knows the biological properties, structure-activity relationships, and metabolisms of drugs and gains the skill for the synthesize and development of new drug candidates.
8) He/She is competent at formulations, production, stability, quality assurance, licensing, patent studies, legal regulations of products containing natural origin and / or synthetic active substances, advanced therapy medicinal products, radiopharmaceuticals and cosmetic products.
9) Interprets the pharmacokinetic and pharmacodynamic properties of drugs, the factors that change their effect, their toxic effects, pharmacolygical activities and their risk assessment method. Reports the drug interactions and adverse drug reactions, monitors and applies the theoretical/practical knowledge for preventing them.
10) As a health professional in his/her profession he/she acts as a caregiver, decision maker, communicator, manager, lifelong learner, instructor, leader and researcher, he/she complies with the principles of evidence-based pharmacy by making teamwork for the benefit of society, national and universal values.
11) He/She works in various fields such as community pharmacy, hospitals, pharmaceutical medical devices, herbal products and cosmetics sectors, health institutions and agencies, clinical research organizations , universities and R&D centers.

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